The Need for Expertise in a Complex Landscape

Since our founding in 2013, we have supported numerous enterprises–ranging from Fortune 500 companies to emerging market leaders–in their AI analytics journey. With the rise of generative AI, the landscape has become increasingly confusing for enterprises looking to tap into this powerful technology. A common theme we’ve found: while there is immense interest in GenAI, there is also significant uncertainty about how to harness its capabilities effectively. Companies are eager to integrate AI into their operations but often find themselves at a loss when it comes to selecting the right technologies, developing a strategic roadmap, or ensuring secure and efficient deployment.

AnswerRocket’s deep expertise in GenAI analytics, coupled with our understanding of the unique challenges enterprises face, positions us as the ideal partner to navigate these complexities. We recognize that the market needs more than just cutting-edge technology—it needs the strategic insight and hands-on support to turn potential into performance.

Comprehensive GenAI Consulting Services

Our GenAI Consulting Services are designed to meet enterprises wherever they are in their AI adoption journey. Whether you are just beginning to explore the possibilities of AI or are looking to scale your existing initiatives, AnswerRocket provides the tailored guidance and expertise needed to achieve tangible results.

Here are ways we can support you:

• Strategic AI Roadmapping: Our consulting team begins by working closely with leaders in your organization to understand your business objectives and how AI can be leveraged to meet those goals. Through a collaborative discovery process, we help you develop a clear, actionable roadmap that outlines the steps needed to achieve AI-driven success.
• Application and Use Case Development: We assist you in identifying and prioritizing the most impactful AI use cases. By applying our extensive knowledge of LLMs and GenAI, we help your teams create and customize applications that address specific business needs, ensuring that AI investments deliver maximum ROI.
• Secure and Efficient Deployment: Implementing GenAI technologies requires careful planning to ensure security, scalability, and effectiveness. AnswerRocket’s consulting services include comprehensive deployment support, from selecting the right models to integrating them seamlessly into existing systems. Our approach ensures that your organization can deploy AI solutions with confidence and reliability.
• Ongoing Support and Optimization: AI is not a one-time investment but a continually evolving capability. We provide ongoing support to help you optimize yourAI implementations, troubleshoot issues, and refine your strategies as technology and business needs evolve.

Why AnswerRocket?

AnswerRocket is not just a provider of AI technology—we are thought leaders and innovators in the GenAI space. Our integration of the latest LLMs, like OpenAI’s GPT-4o, and our extensive experience in delivering GenAI-powered analytics solutions uniquely position us to lead enterprises through the complexities of AI adoption. We have a deep understanding of the nuances involved in implementing LLMs and GenAI tools at scale, and we bring this expertise to every consulting engagement.

As the AI space continues to advance, the need for expert guidance becomes even more critical. With our GenAI consulting services, AnswerRocket is committed to empowering enterprises to harness the full potential of AI, driving innovation and unlocking new opportunities for growth and success.

Partnering for the Future

With AI increasingly becoming a cornerstone of business strategy, AnswerRocket is ready to be your trusted partner. Our GenAI consulting services are not only a response to market demand, but also a reflection of our commitment to leading the way in AI innovation and ensuring that enterprises can navigate this exciting but complex terrain with confidence.

If your company is looking to capitalize on the transformative power of AI, AnswerRocket has the expertise, tools, and support needed to turn your vision into reality. 

The post AnswerRocket’s GenAI Consulting Services: Accelerating Enterprise AI Results first appeared on AnswerRocket.

The post Ai4 2024 Session Demo: Accelerating Brand Insights with GenAI first appeared on AnswerRocket.

AnswerRocket is your trusted partner for rapid GenAI results, now offering full-spectrum GenAI services. Take advantage of our team of AI and analytics experts, who bring unparalleled full-stack GenAI capabilities to the table. We focus on delivering results-oriented solutions that drive impactful business outcomes. Our services are tailored to meet your unique needs, ensuring that you receive the most effective and customized GenAI solutions for your enterprise.

Download the Solution Brief

Services Include:

1) Discover

GenAI Technical Assessment

Use Case Identification & Prioritization

1) Design

Enterprise Architecture Design

GenAI Integration Plan

LLM Enablement & Prototype

Data Preparation, ETL & Augmentation

1) Develop

GenAI Solution Development

Vector, Chat, Function & Prompt Engineering

User Interface

Metadata Grounding

4) Launch

Deployment & Rapid Response

Training & Onboarding

Change Management

Roadmap Execution: Use Case Expansion

ROI Measurement

1) Run

Day-to-Day Operation

User Support

Continuous Improvement

Scaling

The post GenAI Consulting Services first appeared on AnswerRocket.

The post What has Max enabled ABInBev to Do? first appeared on AnswerRocket.

Understanding Gemini Pro and GPT-4

• Gemini Pro: Developed by Google DeepMind, Gemini Pro is known for its multimodality, seamlessly processing and reasoning across text, code, images, and audio. This makes it adept at tasks requiring a holistic understanding of information. It prioritizes safety and ethical considerations in its outputs.
• GPT-4: Developed by OpenAI, GPT-4 boasts extensive language support and adaptability across various tasks. It excels in tasks like writing different kinds of creative text formats, translating languages, and answering your questions in an informative way.

Comparison in Key Areas

LLM Agnosticism at AnswerRocket

At AnswerRocket, we embrace a technology-agnostic approach, particularly when it comes to LLMs like Gemini Pro and GPT-4. Our philosophy is rooted in the belief that the choice of an LLM should be driven by the specific needs, goals, and data landscapes of each client. Here’s why we are flexible with LLM models: 

• Client-Centric Approach: Our priority is to provide solutions that fit our clients’ specific contexts. Whether it’s a need for specialized capabilities, data security measures, or complementing existing infrastructure, we ensure that the LLM we recommend or use aligns perfectly with our clients’ strategic objectives.
• Best Models for the Job at Hand: Through our LLM-agnostic approach, we’re able to leverage the optimal LLM for a given use case. We are able to tackle diverse data scenarios and complex analytical tasks with the most suitable tools at our disposal.
• Staying Ahead of Technological Advances: The AI and LLM landscape is constantly evolving. By not tying ourselves exclusively to one model, we stay at the forefront of technological advancements. This positions us to quickly adopt and integrate newer, more advanced models like Gemini Pro, GPT-4, or even future iterations and alternatives.

In this light, AnswerRocket’s stance on LLM usage is not just about flexibility; it’s about providing optimized, bespoke solutions that harness the full potential of AI analytics for our clients. We are committed to staying agile and informed, ensuring that whatever the technology landscape brings, we are ready and equipped to integrate it seamlessly into our solutions.

How AnswerRocket Leverages LLMs for Data Analysis: A Gemini Pro and GPT-4 Focus

The ever-evolving landscape of large language models (LLMs) like Gemini Pro and GPT-4 is revolutionizing data analysis. AnswerRocket harnesses the transformative capabilities of these models within its suite of tools, Max and Skill Studio, to deliver next-generation analytical solutions.

Unlocking Deep Insights with GPT-4

Powerhouse Data Processing:  GPT-4’s vast training on text and code empowers it to tackle complex analytical tasks. Its exceptional capacity to analyze and understand large volumes of data makes it an indispensable tool for uncovering profound and detailed insights.

Integration with AnswerRocket’s Max:  Max leverages GPT-4’s capabilities to become a more intuitive analytical partner.  Imagine asking Max questions in natural language like “What factors are most correlated with customer churn?” Max would not only understand your question but also interpret the relevant data sets, utilizing GPT-4’s power to deliver contextually relevant insights and visualizations.

Gemini Pro: Multimodal Mastery for Specialized Analysis

Multimodal Magic:  While GPT-4 excels at processing vast amounts of text data, Gemini Pro takes a broader approach. Its multimodal capabilities allow it to analyze text, code, and even images together. Imagine using Gemini Pro paired with AnswerRocket’s Skill Studio to develop a custom “Sales Performance Analyzer.” This Skill could analyze sales figures (text data) alongside regional sales team photos (image data) to identify patterns between facial expressions and sales performance.

Tailored Solutions with Skill Studio:  AnswerRocket’s Skill Studio allows businesses to leverage Gemini Pro’s unique strengths. By creating custom Skills, businesses can unlock specific LLM-powered analytical methods that leverage Gemini Pro. This tailored approach ensures businesses can address their unique analytical challenges by harnessing the power of multimodal analysis.

Real-World Applications of Max and Skill Studio:

Enhanced Business Intelligence: Max, with its integration of GPT-4, can transform raw business data into actionable insights. This capability enables businesses to make data-driven decisions quickly and accurately.

Custom AI Solutions with Skill Studio: Skill Studio allows businesses to build custom AI solutions that are closely aligned with their specific analytical needs. Whether it’s predicting market trends or analyzing consumer behavior, Skill Studio equips businesses with the tools to harness the power of LLMs for their unique challenges.

Future of AI Analytics with LLMs at AnswerRocket:

As we continue to evolve and enhance our offerings, the potential applications of LLMs in data analysis will expand. Our commitment to leveraging the latest advancements in AI ensures that AnswerRocket remains at the forefront of AI analytical technology.

The integration of LLMs like Gemini Pro and GPT-4 into AnswerRocket’s Max and Skill Studio tools exemplifies the cutting-edge possibilities in modern data analytics. These technologies not only simplify complex data processing but also open doors to customized, highly effective business intelligence solutions.

Conclusion

Gemini Pro and GPT-4 represent the forefront of LLM technology. Choosing between them depends on your specific needs. If your focus is on tasks requiring reasoning and multimodal understanding, Gemini Pro might be the better choice. If extensive language capabilities and text-based applications are your priority, GPT-4 could be a strong fit. As both models continue to evolve, their capabilities will undoubtedly expand, offering even greater possibilities for businesses and individuals alike.

The post Comparing Large Language Models: Gemini Pro vs GPT-4 first appeared on AnswerRocket.

June 05, 2024 11:00 AM Eastern Daylight Time

ATLANTA–(BUSINESS WIRE)–AnswerRocket, a leader in GenAI-powered analytics, today announced the availability of AnswerRocket in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. AnswerRocket customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management.

Empowering Decision-Makers with Conversational GenAI Analytics

The need for data-driven insights has never been greater, yet many enterprises are held back by low data literacy and a scarcity of analytics expertise. Leveraging the latest in generative AI technology, AnswerRocket’s GenAI analytics platform transforms how enterprises interact with data, making advanced analytics and insights accessible to all levels of an organization. Max, the platform’s chat-based AI analytics assistant, enables users to engage with data intuitively – asking questions and receiving insights as if conversing with a colleague. This approach simplifies complex data analysis, allowing for the extraction of deep insights with minimal effort.

Accelerating Development of Custom GenAI Analysts

Skill Studio is a revolutionary feature within the AnswerRocket platform that helps extend the capabilities of Max. Skill Studio’s low-code environment enables data scientists, analysts, and developers to rapidly develop custom GenAI analytics assistants for specific business analysis tasks. This end-to-end solution speeds up the creation, testing, and deployment of custom analytics Skills, expanding Max’s ability to provide various data analyses on demand. Users benefit from Max’s extensive suite of out-of-the-box Skills, including driver analysis, trend analysis, market share analysis, and dimension breakouts to give users deeper insights into their business performance.

Seamless Scalability with Enterprise-Grade Infrastructure

The integration of AnswerRocket with Microsoft Azure enables the platform to scale dynamically, accommodate massive datasets, and deliver real-time analytics performance that meets the demands of even the largest enterprises.

“Launching AnswerRocket on Azure Marketplace is an important milestone for us,” said Alon Goren, CEO of AnswerRocket. “This collaboration enables us to provide Microsoft customers with robust, scalable solutions for data analysis that complement their Microsoft Azure investments. We are excited to see how our users leverage the power of AnswerRocket combined with Azure to transform their data into meaningful business insights.”

“Microsoft welcomes AnswerRocket to Azure Marketplace, where global customers can find, try, and buy from among thousands of partner solutions,” said Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. “Azure Marketplace and trusted partners like AnswerRocket help customers do more with less by increasing efficiency, buying confidently, and spending smarter.

The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

Learn more about AnswerRocket and get it now by visiting its page in the Azure Marketplace.

About AnswerRocket

Founded in 2013, AnswerRocket is a generative AI analytics platform for data exploration, analysis, and insights discovery. It allows enterprises to monitor key metrics, identify performance drivers, and detect critical issues within seconds. Users can chat with Max–an AI assistant for data analysis–to get narrative answers, insights, and visualizations on their proprietary data. Additionally, AnswerRocket empowers data science teams to operationalize their models throughout the enterprise. Companies like Anheuser-Busch InBev, Cereal Partners Worldwide, Beam Suntory, Coty, EMC Insurance, Hi-Rez Studios, and National Beverage Corporation depend on AnswerRocket to increase their speed to insights.

To learn more, visit: www.answerrocket.com

Contacts

For more information, press only:
Tate Mikkelsen
10Fold Communications
answerrocket@10fold.com
(925) 639 – 0409

The post AnswerRocket Now Available in the Microsoft Azure Marketplace first appeared on AnswerRocket.

Our latest resource, “Brand Growth Beyond Crisis: Leveraging Pandemic Insights to Future-Proof Your CPG & Retail Strategies,” explores critical strategies for harnessing the power of Artificial Intelligence (AI) and Machine Learning (ML) to steer through turbulent times. Here’s why this guide is a must-read:

Navigate Through Data with Precision

The pandemic taught us that the necessity for precise, timely, and frequent analysis of complex business performance has never been more critical. Augmented analytics—melding AI with natural language generation—empowers businesses to make intelligent decisions swiftly, ensuring that you’re not just keeping up but staying ahead.

Transform Challenges into Opportunities

From enhancing cross-functional collaboration to improving shelf presence and managing market share, AI can transform your operational challenges into competitive advantages. Learn how AI helps you gain real-time insights into market demands, enabling you to make informed decisions rapidly.

Insights from Industry Leaders

Gain inspiration from leading companies like Coca-Cola and Procter & Gamble, who have successfully navigated the pandemic’s challenges by innovating and adapting their strategies. Understand the shifts in consumer preferences and how these giants are leveraging technology to stay relevant and resilient.

Ready for the Future

As the lines between digital and physical shopping experiences blur, understanding and implementing a robust omnichannel strategy is key. Discover how AI and ML are crucial tools in understanding these dynamics and preparing your business for the future consumer landscape.

Embrace the New Normal with AI

The insights offered in “Brand Growth Beyond Crisis” are more than just theoretical—they’re a blueprint for action. By embracing AI and sophisticated analytics, you can ensure that your business is not only reacting to changes but is proactively prepared for future shifts.

Curious to uncover the full strategies and detailed insights? Download the full eBook now and transform your approach to meet the demands of a rapidly evolving market. Let AI be your guide in future-proofing your CPG and retail strategies.

The post Post-Pandemic Lessons Learned: Harness AI for CPG & Retail Growth Amid Crisis first appeared on AnswerRocket.

Addressing CPG-Specific Challenges with AI

Integrating AI into data analysis isn’t without its hurdles. Here are some challenges specific to the CPG sector:

• Data Collection Issues: CPG companies pull data from many sources, like sales and supply chain info, which makes consolidating data tough.
• Quality and Privacy Concerns: Keeping data accurate and navigating privacy regulations is crucial.
• Integration and Analysis Obstacles: Siloed data and the complexity of integration pose significant challenges, along with the usual struggles with BI tool adoption and finding data science talent.

The key to overcoming these challenges is a strategic approach to data management, focusing on data quality, privacy compliance, and breaking down data silos.

The Transformative Impact of AI on CPG Analytics

AI’s potential in CPG analytics is immense. Beyond automating processes and improving safety protocols, AI shines in data-driven decision-making. Tools like AnswerRocket’s Max make complex analytics accessible through natural language processing, democratizing data analysis across all organizational levels.

Forward-Looking Solutions for Data-Driven CPG Companies

CPG companies aiming to leverage AI for a competitive edge should focus on:

• Actionable Data Insights: Emphasize conversational data exploration and custom AI assistants tailored to specific needs, like brand analysis and SKU rationalization.
• Data Preparation and AI Integration: Ensure comprehensive data collection and preprocessing to make CPG data AI-ready.
• AI-Powered Predictive Analytics: Use AI for demand forecasting, sales and marketing optimization, and customer segmentation.
• Supply Chain Optimization and Sustainability: Utilize AI for predictive maintenance, route optimization, and achieving sustainability in operations.

The Future of AI in CPG

As the CPG industry evolves, integrating AI into analytics and strategic decision-making will enhance operational efficiencies and pave the way for innovative solutions to market challenges. The journey towards AI adoption might be complex, but the rewards—faster insights, better decisions, and a competitive edge—make it essential for today’s businesses.

To download the full eBook, “Generative AI Accelerates its Impact on CPG Analytics,” click here.

The post The Rise of Generative AI in CPG Data Analytics first appeared on AnswerRocket.

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For an in-depth analysis of Claude 3’s capabilities and its comparison to GPT-4, refer to Anthropic’s official documentation and news announcements.

Understanding Claude 2, Claude 3, and GPT-4

All 3 of these large language models represent significant advancements in AI, but they each have unique characteristics that define their applications. Claude 2, shines in specific areas such as math, reasoning, and coding, offering robust capabilities in these domains. Its affordability and focus on producing safer and more legally compliant outputs give it an edge in certain scenarios​​​​. 

Claude 3 builds on this legacy, introducing multimodal capabilities, superior reasoning, and enhanced safety features. It competes with and surpasses GPT-4 in specific benchmarks, offering a nuanced understanding of context and refined interaction capabilities. 

GPT-4, developed by OpenAI, is renowned for its extensive language support and adaptability across various tasks. It excels in tasks like email generation, code debugging, and accessing internet data, making it a versatile tool in the AI toolkit​​.

Comparison in Key Areas:

• Training Methods: GPT-4’s training involved a massive dataset encompassing a wide array of internet text, making it incredibly versatile. Claude 2, while also trained on diverse data, puts a stronger emphasis on ethical guidelines and safety, setting it apart in applications where these factors are critical​​​​. Claude 3 has advanced training on diverse datasets, emphasizing its improved contextual understanding and ethical considerations. A common concern of enterprise customers is data security as it relates to the way LLMs are trained. Because data provided by users to the free version of these chatbots is then used to train the greater model, corporations fear the sharing of their private data on the world wide web. But it is possible to download and utilize a private instance of the LLM to ensure data security for any customer, no matter the industry or sensitivity of their information.
• Computation Requirements: The larger model size of GPT-4 demands more computational resources, which might be a consideration for projects with limited infrastructure. Conversely, Claude 2’s smaller model size makes it more accessible for such projects​​. Claude 3 is efficient and balances computational demands with advanced capabilities.
• Fine-tuning Capabilities: Both Claude 2 and GPT 4 models offer fine-tuning capabilities, but GPT-4’s larger model size and extensive training data provide a broader scope for customization, making it suitable for a wider range of applications​​.  Claude 3 offers nuanced customization options, adapting to a wider range of tasks with high efficiency.
• Performance: GPT-4 is known for its higher overall performance, especially in coding and language generation across 200+ languages. Claude 2, while having fewer capabilities, offers more affordable pricing and generates safer outputs​​. Claude 3 is a model that bridges Claude 2’s ethical focus with GPT-4’s extensive adaptability, offering breakthroughs in multimodal understanding and interaction.
• Context Length and File Formats: Claude 2 can process documents with up to 100,000 tokens, while GPT-4 has a variable token limit depending on the model version. Claude 3 extends the token limits, accommodating more extensive data analysis and supporting a broader range of file formats, including images. GPT-4’s ability to handle diverse file formats like PDFs, CSVs, and even images gives it an edge in adaptability​​.
• Ethical Considerations and Safety: Claude 2’s design adheres to ethical guidelines and is less likely to produce harmful responses, making it a safer choice in sensitive applications. Claude 3 has improved safety measures and ethical design, reducing the rate of incorrect refusals for harmless prompts. GPT-4, while powerful, lacks explicit safeguards against problematic content generation​​. 

Incorporating LLMs into Your Business Strategy

The advancement from Claude 2 to Claude 3, alongside GPT-4, represents a significant evolution in AI capabilities. Understanding the strengths and limitations of each LLM is crucial for businesses to make informed decisions. Whether it’s Claude 2’s ethical focus and safety or GPT-4’s versatility and language capabilities, each model offers unique benefits that can be harnessed for specific business needs.

Use Cases and Specialization

Both models are suitable for text and code generation. Claude 3’s extensive training makes it ideal for tasks requiring a deep understanding of context and nuance, such as advanced chatbots, language translation services, and content creation. Claude 2, with its focus on ethical AI and safety, is well-suited for applications where these factors are paramount​​​​. 

Below are some specific use cases for Claude 2, Claude 3, and GPT 4.

• Content Generation: Claude 3 excels in generating complex content such as detailed blog posts, product descriptions, and other website content, while GPT-4’s prowess lies in generating high-quality content across various industries including news, marketing, and academic writing​​​​.
• Chatbots and Virtual Assistants: GPT-4 is ideal for creating advanced chatbots and virtual assistants due to its sophisticated, context-aware interactions. Claude 2 can also be employed for chatbots, especially where safety and ethical considerations are paramount​​​​. Claude 3 enhances this capability with fewer erroneous refusals and a broader understanding of user intents, especially useful in settings requiring high ethical standards.
• Language Translation Services: GPT-4’s deep multilingual capabilities make it a strong candidate for language translation services. Claude 3 improves on Claude 2’s basic translation services by processing larger context windows and supporting more languages efficiently, making it a stronger contender for complex translation tasks.

Potential Industry Applications

• Healthcare: Like GPT-4, Claude 3’s advanced capabilities in analyzing and summarizing complex material can significantly benefit healthcare and pharmaceutical research. Its improved accuracy and multimodal features allow it to process medical research papers and visual data more effectively, providing richer insights.
• Education: Building on Claude 2’s ability to explain reasoning, Claude 3 enhances educational tools by offering deeper contextual understanding and handling a broader range of educational content, including visual materials, making it even more beneficial in learning environments.
• Legal and Compliance: While Claude 2 is noted for producing ethically aligned and safe outputs, Claude 3 extends these capabilities with better context comprehension and fewer incorrect refusals, ensuring reliable outputs in sensitive legal and compliance applications. This makes it a more robust tool for managing complex legal documents and compliance requirements.

These enhancements make Claude 3 a valuable addition across various sectors, improving upon the foundations laid by Claude 2 and competing models like GPT-4.

How AnswerRocket Leverages LLMs for Data Analysis

Claude 2, Claude 3, and GPT-4 are also revolutionizing the field of data analytics. Their transformative capabilities are effectively harnessed in AnswerRocket’s suite of tools, notably Max and Skill Studio, to deliver cutting-edge analytical solutions.

GPT-4’s Role in Advanced Data Analysis

• Comprehensive Data Processing: GPT-4’s vast training data and sophisticated model architecture enable it to handle complex analytical tasks. Its ability to process and interpret vast amounts of data is unparalleled, making it an invaluable asset in deriving deep and nuanced insights.
• Integration in AnswerRocket’s Max: Max incorporates GPT-4’s capabilities to enhance its analytical power. This integration allows Max to not only understand and process large datasets but also to interpret user queries and provide contextually relevant insights. The result is a more intuitive, conversational interface that simplifies complex data analysis.

Claude 2’s Specialized Analytical Applications

• Focused Data Analysis: While Claude 2 and Claude 3 might not match GPT-4’s breadth, they excel in delivering powerful AI analytics in specialized areas. Their structured approach to data interpretation makes it particularly effective in scenarios that require detailed and specific analytical tasks.
• Utilization in Skill Studio: AnswerRocket’s Skill Studio can leverage Claude 2 or Claude 3’s strengths to create customized analytical models. These models, or ‘Skills,’ are tailored to specific business needs, embedding unique analytical methods directly into the LLM’s capabilities. This customization ensures that businesses can utilize Claude 2 or Claude 3’s analytical power in a way that aligns perfectly with their operational goals.

Real-World Applications of Max and Skill Studio:

• Enhanced Business Intelligence: Max, with its integration of GPT-4, can transform raw business data into actionable insights. This capability enables businesses to make data-driven decisions quickly and accurately.
• Custom AI Solutions with Skill Studio: Skill Studio allows businesses to build custom AI solutions that are closely aligned with their specific analytical needs. Whether it’s predicting market trends or analyzing consumer behavior, Skill Studio equips businesses with the tools to harness the power of LLMs for their unique challenges.

Future of AI Analytics with LLMs at AnswerRocket:

• As we continue to evolve and enhance our offerings, the potential applications of LLMs in data analysis will expand. Our commitment to leveraging the latest advancements in AI ensures that AnswerRocket remains at the forefront of analytical technology.

The integration of LLMs like Claude 2, Claude 3, and GPT-4 into AnswerRocket’s Max and Skill Studio tools exemplifies the cutting-edge possibilities in modern data analytics. These technologies not only simplify complex data processing but also open doors to customized, highly effective business intelligence solutions.

Conclusion

Whether you’re a data scientist, a member of an insights team, or a CTO, understanding these LLMs is key to unlocking their potential for your business.

Let’s explore the possibilities and harness the power of LLMs like Claude 2, Claude 3, and GPT-4 to transform your data analysis and business intelligence strategies. Contact our team today to learn more about how we can tailor these advanced AI tools to your unique business needs.

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CONTACT INFO

info@max.ai

www.max.ai

Anywhere, Anytime

POWERED BY

AnswerRocket

Open AI GPT-4

USE CASES

• Investigate business issues & opportunities
• Generate proactive insights & analysis
• Support business planning & strategy development
• Support research projects

COMPATIBLE DATA WAREHOUSES

• Amazon RedShift
• Azure Synapse Analytics
• Google Big Query
• Snowflake

EXPERIENCE

Category & Brand Insights Assistant | Fortune 500 Global Beverage Leader

March 2023-Present

Automating over a dozen analytics workflows for a Fortune 500 global beverage leader, reducing time to insights by 80% and empowering decision-makers to respond quickly to changes in market share and brand equity with data-driven action plans.

Sales Effectiveness Analysis Assistant | Fortune 500 Pharmaceutical Company

March 2023-Present

Helping a Fortune 500 pharmaceutical company generate groundbreaking insights revealing the direct impact of sales activities on market share.

Macro Market Trends Research Assistant | Global Consumer Packaged Goods Leader

March 2023-Present

Empowering a global consumer packaged goods leader to generate insights from unstructured market research alongside structured company performance analysis to better understand and respond to macro market trends.

AI Assistant for Data Analysis

ABOUT ME

I’m a generative AI Assistant that helps you explore, analyze, and get insights from your data. Powered by AnswerRocket’s augmented analytics platform and GPT-4, I’m focused on making it easier than ever to get answers to your business questions – just by chatting.

CAPABILITIES

Explore Data

Analyze & Visualize Data

Run advanced analysis to understand, diagnose, and predict business performance

Generate Insightful Narratives

Compose easy-to-understand data stories highlighting key insights from analysis

Follow-ups

Answer follow-up questions and pick back up on past conversations in an instant

Automate Analysis

Generate recurring analysis reports
and presentations on a set schedule
or as new data is available

ANALYTICAL SKILLS

• Current Performance: Evaluate your latest performance and track key metric changes
• Competitive Performance: Assess performance against major competitors and spot improvement opportunities.
• Metric Drivers: Identify and drill into the drivers behind metric increases and decreases.
• Metric Trends: Trend business performance over time, spotting outliers, and forecasting future performance.

REFERENCES

Anheuser-Busch InBev

“A chat-based tool like Max can help more users feel comfortable interacting with data. Having an on-demand assistant that can quickly answer the questions that pop up throughout the day would enable our team to make data-driven decisions at scale.”
– Sabine Van den Bergh, Director Brand Strategy & Insights Europe

Cereal Partners Worldwide, a joint venture between Nestlé and General Mills

“Max will take AnswerRocket to the next level! We need our teams to make informed, fact based decisions. Max will enable users across all levels of CPW to quickly access data and insights through intuitive questions and responses.”
– Chris Potter, Global Applied Analytics

Beam Suntory

“With Max, Beam Suntory can automate routine tasks and gain valuable insights from data, allowing us to make more informed decisions. I see the potential for Max to become a powerful tool for analyzing a combination of external, macro, and internal data.”
– Abraham Neme, Global Head BI & Analytics

Share Max’s Resume with Your Team

The post Max’s Resume first appeared on AnswerRocket.

CONTACT INFO

answerrocket.com/cpg

Anywhere, Anytime

POWERED BY

AnswerRocket

Open AI GPT-4

USE CASES

• Investigate business issues & opportunities
• Generate proactive insights & analysis
• Support business planning & strategy development
• Support research projects

ANALYZE DATA FROM

• NielsenIQ
• Kantar
• IRi
• Spins
• NPD
• Toluna

EXPERIENCE

Category & Brand Insights Assistant | Fortune 500 Global Beverage Leader

March 2023-Present

Automating over a dozen analytics workflows for a Fortune 500 global beverage leader, reducing time to insights by 80% and empowering decision-makers to respond quickly to changes in market share and brand equity with data-driven action plans.

Sales Effectiveness Analysis Assistant | Fortune 500 Pharmaceutical Company

March 2023-Present

Helping a Fortune 500 pharmaceutical company generate groundbreaking insights revealing the direct impact of sales activities on market share.

Macro Market Trends Research Assistant | Global Consumer Packaged Goods Leader

March 2023-Present

Empowering a global consumer packaged goods leader to generate insights from unstructured market research alongside structured company performance analysis to better understand and respond to macro market trends.

AI Assistant for CPG Analytics & Insights

Powered by AnswerRocket

An AI Assistant for Category Managers & Insights Teams

ABOUT ME

I’m a generative AI Assistant that helps you explore, analyze, and get insights from your CPG data. Powered by AnswerRocket’s augmented analytics platform and GPT-4, I’m focused on making it easier than ever to get answers to questions about your categories and brands–just by chatting.

CAPABILITIES

Explore Data

Analyze & Visualize Data

Run advanced analysis to understand, diagnose, and predict business performance

Generate Insightful Narratives

Compose easy-to-understand data stories highlighting key insights from analysis

Follow-ups

Answer follow-up questions and pick back up on past conversations in an instant

Automate Analysis

Generate recurring analysis reports
and presentations on a set schedule
or as new data is available

ANALYTICAL SKILLS

• Current Performance: Evaluate your latest performance and track key metric changes
• Competitive Performance: Assess performance against major competitors and spot improvement opportunities.
• Metric Drivers: Identify and drill into the drivers behind metric increases and decreases.
• Metric Trends: Trend business performance over time, spotting outliers, and forecasting future performance.

REFERENCES

Anheuser-Busch InBev

“A chat-based tool like Max can help more users feel comfortable interacting with data. Having an on-demand assistant that can quickly answer the questions that pop up throughout the day would enable our team to make data-driven decisions at scale.”
– Sabine Van den Bergh, Director Brand Strategy & Insights Europe

Cereal Partners Worldwide, a joint venture between Nestlé and General Mills

“Max will take AnswerRocket to the next level! We need our teams to make informed, fact based decisions. Max will enable users across all levels of CPW to quickly access data and insights through intuitive questions and responses.”
– Chris Potter, Global Applied Analytics

Suntory Global Spirits

“With Max, Beam Suntory can automate routine tasks and gain valuable insights from data, allowing us to make more informed decisions. I see the potential for Max to become a powerful tool for analyzing a combination of external, macro, and internal data.”
– Abraham Neme, Global Head BI & Analytics

Share Max’s Resume with Your Team

The post Max’s CPG Resume first appeared on AnswerRocket.

Chat with Max for 10x faster insights on your CPG data with generative AI

Conversational UX

Understands your business and data

Skilled in advanced analytics

Turns raw data into actionable insights

Safe and secure

Download the Solution Brief

Get actionable insights for better decisions
across your organization

Insights Teams

Category Managers

Marketing

Field Sales Team

Drive brand and category growth
with the power of AI Analytics

Analyze CPG data just by chatting

Chat with Max to gain valuable insights on your brand, category, market, and customer data – anywhere, anytime. Our integration with OpenAI’s GPT-4 LLM lets you chat naturally in your own words.

Automate recurring brand and category analysis

Say goodbye to manual analysis, while giving your team the same reports and presentations they know and love. Max automates your daily, weekly, and monthly analysis on schedule or upon data refresh.

Tailored to your CPG business

Max is fully customizable to reflect the way your business analyzes, visualizes, and talks about data. With Skill Studio, you can create specialized Skills and AI Assistants to help tackle your unique data analysis needs.

Make Max a GenAI Assistant on Your CPG Team

The post Meet Max, a GenAI Assistant for CPG Teams first appeared on AnswerRocket.

You can get answers to your critical questions just by chatting with Max

Communicating with Max is as easy as speaking to a human analyst.

Ask questions in your own words and get answers you can understand. Interact with visualizations and even ask follow up questions in the same conversation.

The post Max Analyzes Your CPG Data first appeared on AnswerRocket.

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ATLANTA—Dec. 12, 2023—AnswerRocket, an innovator in GenAI-powered analytics, today announced the launch of Skill Studio, which empowers enterprises to develop custom AI analysts that apply the business’ unique approach to data analysis.

“Skill Studio has immense potential to transform our approach to analytics,” stated Stewart Chisam, CEO of RallyHere Interactive, a platform for game developers to run multi-platform live service games. “With Skill Studio, we can create a customized AI analyst that deeply understands the nuances of the gaming industry and how we analyze our data. Its ability to automate complex analyses like game performance, player interactions, and usage patterns is groundbreaking. The insights generated by Max can help drive strategic decisions to enhance both our platform and user experience.”  

Say hello to specialized AI copilots

AI copilots have emerged as a powerful tool for enterprises to access their data and streamline operations, but existing solutions fail to meet the unique data analysis needs of each organization or job role. Skill Studio addresses this gap by providing organizations with the ability to personalize their AI assistants to their specific business, department, and role, which enables users to more easily access relevant, highly specialized insights.

Skill Studio elevates Max’s existing AI assistant capabilities by conducting domain-specific analyses, such as running cohort and brand analyses. Key enhancements include:

• Full Development Environment: End-to-end experience supporting the software development lifecycle for developers to gather requirements, develop, test, and deploy Skills to the AnswerRocket platform. Skill Studio allows developers to leverage the Git provider and integrated development environment (IDE) solution of their choice.
• Low-Code UX: User-friendly interface for developers and analysts to create customized Skills for the end users they support.
• Reusable Code Blocks: Accelerate custom Skill development by leveraging pre-built code blocks for analysis, insights, charts, tables, insights, and more.
• Bring Your Own Models: Skill Studio extends the analytical capabilities of Max, enabling enterprises to deploy their existing machine learning algorithms within the Max experience.
• Multi-source and Multi-modal Data Support: Analysts can perform complex analyses using multiple data sources, including structured or unstructured through a single tool. This allows businesses to glean insights from siloed data sources that were previously inaccessible.
• Create Purpose-Built Copilots: Construct copilots designed for specific roles by giving them access to the Skills needed to perform a set of analytical tasks.
• Quality Assurance & Answer Validation: Testing framework for validating accuracy of answers generated by Skills. 

“AI copilots have revolutionized the way organizations access their data, but current solutions on the market are general-use and not personalized to specific use cases,” said Alon Goren, CEO of AnswerRocket. “Skill Studio puts the power of AI analysts back in the hands of our customers by powering Max to analyze their data in a way that helps them achieve their specific business outcomes.”

A collaborative experience for creating fit-for-purpose AI assistants

Skill Studio enables cross-functional design, development, and deployment of AI copilots:

• Data Scientists and Developers: Technical team members can democratize specialized data science algorithms and models as reusable Skills that can be leveraged by Max, enabling users to successfully retrieve the advanced answers they need quickly and securely.
• Analysts: Analysts can customize Skills and Copilots to capture their company’s best practices for analyzing and retrieving insights from data. This allows repetitive, manual data analysis processes to be executed by Max for automated analyses. 
• Business Users: Users can enjoy an easy-to-use experience for interacting with their data by chatting with an AI analyst who understands their business, analytical processes, and insights needs.

For more information on Skill Studio, please visit: https://answerrocket.com/skill-studio/

About AnswerRocket

Founded in 2013, AnswerRocket is a generative AI analytics platform for data exploration, analysis, and insights discovery. It allows enterprises to monitor key metrics, identify performance drivers, and detect critical issues within seconds. Users can chat with Max–an AI assistant for data analysis–to get narrative answers, insights, and visualizations on their proprietary data. Additionally, AnswerRocket empowers data science teams to operationalize their models throughout the enterprise. Companies like Anheuser-Busch InBev, Cereal Partners Worldwide, Beam Suntory, Coty, EMC Insurance, Hi-Rez Studios, and National Beverage Corporation depend on AnswerRocket to increase their speed to insights. To learn more, visit www.answerrocket.com.

Contacts

Elena Philippou
10Fold Communications
answerrocket@10fold.com
(925) 639 – 0409

The post AnswerRocket Unveils Skill Studio to Empower Enterprises with Custom AI Analysts for Enhanced Business Outcomes first appeared on AnswerRocket.

What is machine learning? What are the business implications of AI? How can these advancements in technology impact analytics and add dollars to your bottom line? We discussed these topics at TAG Summit 2018; now you can watch this educational, academic-style talk in this webinar.

Speakers:

• James Hunter, Product Manger at AnswerRocket

The post How Human is the Machine first appeared on AnswerRocket.

Introduction

In today’s rapidly evolving business landscape, data-driven decision-making is paramount. Enterprise organizations require advanced tools and technologies to harness the full potential of their data. One such solution that stands out is AnswerRocket, a platform that integrates generative AI technology throughout the data analysis process. But what sets AnswerRocket apart, and why should analytics and insights leaders take note? In this blog post, we’ll highlight perspectives from AnswerRocket’s Co-Founder and CTO, Mike Finley to explore the unique approach that makes AnswerRocket a game-changer in the world of data analytics.

Understanding Generative AI at AnswerRocket

AnswerRocket’s approach to generative AI extends far beyond merely answering questions. It’s about understanding data long before the questions are asked and comprehending both the queries and the database results. Generative AI isn’t just a tool; it’s an integral part of the entire analytical process. This differentiates AnswerRocket from augmented analytics solutions that rely solely on question-answer mechanisms, making it a true AI assistant in data analysis for everyone in an organization.

What Makes AnswerRocket Different?

A crucial aspect that distinguishes AnswerRocket is its evolutionary journey. Over a decade of development, the platform was continually refined even before incorporating large language models. The unique combination of traditional capabilities with modern language models enables AnswerRocket to be enterprise-ready, secure, governed, reliable, and powerful. It’s not just about providing answers; it’s about narrating the story hidden within your data, making it relatable and actionable.

The Power of Skills in AnswerRocket

Skills in AnswerRocket are fundamental units of analysis. Your business might have its unique way of forecasting sales, and no large language model can replace that. However, AnswerRocket empowers you to create Skills that encapsulate these analyses, seamlessly integrating them into the language model conversation. The platform offers a range of pre-built Skills and the flexibility to create your own using the Skill Studio. This approach ensures that insights specific to your business become a part of your enterprise analytics arsenal.

Connectivity and Data Access with AnswerRocket

Accessing and connecting to diverse data sources is a common challenge for enterprise organizations. AnswerRocket, from its inception, aimed to tackle this challenge. It can connect to traditional data sources like SQL databases, DAX, and relational models, but it goes further. It seamlessly integrates with unstructured data sources, including emails, PowerPoint presentations, and PDF documents, transforming “dark data” into valuable insights. This capability enables AnswerRocket to access all the same documentation and training that a human analyst would, serving as a true AI assistant in your analytical journey.

The Magic of Skill Studio

The Skill Studio within AnswerRocket is where the magic happens. It empowers you to combine data from disparate sources in innovative ways, giving you a comprehensive view of your business landscape. With the ability to access structured and unstructured data, as well as real-time data through APIs, AnswerRocket can provide unique and thoughtful insights. It’s not just about reporting the weather and sales; it’s about understanding the causal relationship between the two. This capacity to merge different data sources makes the language model’s analysis invaluable to your business. With Skill Studio, developers and analysts can “teach” their AI assistant how it should analyze your data, what kinds of insights it should be looking for, and even how the findings should be presented. It’s the way that enterprises can capture their specific data analysis processes and methodologies and enable an AI assistant to do that work for them.

Conclusion

AnswerRocket represents a new frontier in the world of generative AI-powered analytics. Its unique approach, blending traditional capabilities with modern language models, allows it to offer secure, reliable, and enterprise-ready insights. The power of Skills and the flexibility of the Skill Studio make it adaptable to your business’s unique needs. Moreover, its unparalleled connectivity and data access capabilities ensure that no data source is out of reach. 

For analytics and insights leaders at enterprise organizations, AnswerRocket is more than just a tool; it’s a strategic assistant in your quest for data-driven success. Embrace the power of generative AI, and see how AnswerRocket can transform your data into actionable insights. The future of analytics is here, and it’s waiting for you to unlock its full potential with AnswerRocket.

Blog image by pch.vector on Freepik. 

The post Unlocking the Power of Generative AI with AnswerRocket first appeared on AnswerRocket.

Atlanta, GA – 5 October 2023 – AnswerRocket has been declared the winner of the Best SaaS Product for Business Intelligence or Analytics this week in the international SaaS Awards program. Now celebrating its 8th year, The SaaS Awards continues to recognize and honor outstanding SaaS innovations from all corners of the world. 

The program boasted an array of categories for 2023, including ‘Bespoke SaaS Solution,’ ‘Best SaaS Product for Business Intelligence or Analytics,’ ‘Most Agile or Responsive SaaS Solution of the Year,’ and many others, showcasing SaaS solutions across industry verticals. 

James Williams, Head of Operations at The SaaS Awards, said: “AnswerRocket is a deserving winner in a highly competitive category. Each year, we’re impressed by the innovative solutions and achievements of our entrants. Submissions continue to improve, reflecting positive progress. With every awards program of this business software ‘Oscars,’ we see even more captivating innovations that adapt to the evolving challenges of today.”

“[The] Max AI solution, combining AnswerRocket’s augmented analytics platform with OpenAI’s GPT large language model, is truly exceptional,” said Yagnik Suchak, Lead Judge at the SaaS Awards 2023. “The way Max effortlessly handles natural language queries, uncovers hidden insights, and provides advanced analytics capabilities is commendable. Moreover, its ability to integrate structured and unstructured data sources for richer answers showcases a deep understanding of users’ needs. The streamlined data setup and trainable model further enhance its user-friendly experience.” 

“AnswerRocket is honored for our AI assistant, Max, to be recognized by the SaaS Awards for Best SaaS Products for Business Intelligence or Analytics,” said Alon Goren, CEO, AnswerRocket. “This international recognition shines a light on how AnswerRocket makes data analysis more accessible and empowers users to extract value from business data. Max facilitates data-based decisions across the business, which is crucial in today’s competitive market to drive growth and deliver on customer expectations.”

“We take immense pride in our commitment to excellence and the rigorous process we employ to evaluate the entries for The SaaS Awards 2023,” said Maneet Bansal, Lead Judge at The SaaS Awards 2023. “Our panel of esteemed, independent judges brings decades of experience from some of the most successful companies in the technology industry, including Microsoft, Meta, and Amazon. These experts dedicated countless hours to meticulously assess hundreds of submissions across 54 different categories, ensuring that only the most innovative, impactful, and groundbreaking SaaS solutions rise to the top. We congratulate all deserving winners today.”

Entries from hundreds of organizations spanning North America, Canada, Europe, the Middle East, and Australasia were received. The complete list of winners can be found here: https://www.cloud-awards.com/2023-saas-awards-finalists/. 

To learn more about Max, AnswerRocket’s generative AI assistant for analytics, visit https://answerrocket.com/max.

-END- 

Contact details    

For AnswerRocket
Elena Phillippou
AnswerRocket@10fold.com

For the Cloud Awards    
James Williams – head of operations    
https://www.cloud-awards.com/cloud-computing-awards/    
james@cloud-awards.com    

About the Cloud Awards        

The Cloud Awards is an international program which has been recognizing and honoring industry leaders, innovators and organizational transformation in cloud computing since 2011. The awards are open to large, small, established and start-up organizations from across the entire globe, with an aim to find and celebrate the pioneers who will shape the future of the Cloud as we move into 2023 and beyond. Categories include the Software as a Service award, Most Promising Start-Up, and “Best in Mobile” Cloud Solution.         

Winners are selected by a judging panel of international industry experts. For more information about the Cloud Awards and SaaS Awards, please visit https://www.cloud-awards.com/.        

About the SaaS Awards        

The SaaS Awards is a sister program to the Cloud Awards, which was founded in 2011. The SaaS Awards focuses on recognizing excellence and innovation in software solutions. Categories range from Best Enterprise-Level SaaS to Best UX or UI Design in a SaaS Product.        

About the Cloud Security Awards    

The Cloud Security Awards is a sister program to the SaaS Awards and the Cloud Awards. The Cloud Security Awards celebrates innovation in the cybersecurity industry. The program includes a wide range of categories, including ‘Best Web Security Solution,’ ‘Cloud Security Innovator of the Year,’ and ‘Best Security Solution for Finance or Banking.’ For more information about the Cloud Security Awards, please visit: https://www.cloud-awards.com/cloud-security-awards/.    

About AnswerRocket

Founded in 2013, AnswerRocket is a generative AI analytics platform for data exploration, analysis, and insights discovery. It allows enterprises to monitor key metrics, identify performance drivers, and detect critical issues within seconds. Users can chat with Max–an AI assistant for data analysis–to get narrative answers, insights, and visualizations on their proprietary data. Additionally, AnswerRocket empowers data science teams to operationalize their models throughout the enterprise. Companies like Anheuser-Busch InBev, Cereal Partners Worldwide, Beam Suntory, Coty, EMC Insurance, Hi-Rez Studios, and National Beverage Corporation depend on AnswerRocket to increase their speed to insights. To learn more, visit www.answerrocket.com.

The post AnswerRocket Wins 2023 SaaS Award first appeared on AnswerRocket.

We loved being a Diamond Sponsor for this event in Atlanta, right in our own backyard!

What is COLLIDE?

The collision of data and industry is at Data Science Connect’s COLLIDE Data Science Conference. This event showcased the latest trends and advancements in data-driven decision making and how it is revolutionizing industries such as healthcare, finance, and marketing.

Learn more at https://datasciconnect.com/events/collide-2023/.

If you were unable to attend the event, you can watch our session recordings, linked below:

Tuesday, October 3rd, 2:50-3:10pm
Copilot Cooking Show: How To Build a GenAI Assistant for Analytics
With Mike Finley, AnswerRocket Co-founder, CTO and Chief Scientist

In this quickfire session, we’ll demonstrate how AnswerRocket enables enterprises to create customized GenAI-powered assistants for data analysis. Key ingredients include OpenAI’s GPT LLM, AnswerRocket’s augmented analytics platform, and tough business questions. Come see how you can apply these game-changing technologies to produce a custom AI assistant that boosts your team’s analytical productivity.

Wednesday, October 4th, 2:50-3:10pm
Bridging the Gap: From AI Hype to Real-world Impact
With Pete Reilly, AnswerRocket Co-founder and COO

Artificial Intelligence, with its seemingly endless potential and promise, is now front and center as a hot topic in boardroom meetings and strategy sessions. But how does a business move from awe and curiosity to actively realizing benefits in real-world scenarios? This session is tailored to steer organizations from mere contemplation of AI’s power to the tangible and transformative results it can deliver.

Are you interested in learning more about adding a Generative AI Analytics Assistant to your team?

Request a demo with a member of our team here.

The post Past Event: AnswerRocket at COLLIDE 2023 first appeared on AnswerRocket.

Enterprise organizations that hope to better understand their business have more access to information than ever before. Data can come from a multitude of sources, with very little lag time between when it is collected and when it is delivered to the analysts who will leverage it. 

The problem that analytics and business users have faced for years isn’t the availability of data, but how they analyze and extract insights from that data. The current state of data analysis is manual, non-standardized, time-constrained, and biased. 

And the problem of data analysis isn’t limited to analytics and insights teams, it creates a snowball effect that affects the entire organization. 

In this blog we’ll talk about the current state of data analysis and how AnswerRocket aims to simplify data analysis and democratize insights for all. 

The Vicious Cycle of Data Analysis

Companies usually have no shortage of tools that they’ve invested in, dashboards to access, recurring reports to review, and other tools that they can review to evaluate their performance, but this typically only gets them so far. These views of data typically prompt follow-up questions and require further exploration to understand:

What is going on?

Why is this metric up or down?

These are questions that business users or key decision makers who are trying to take an action can’t easily answer on their own. This means they then have to involve an analyst or insight team member who has to dig into the data, compile supplemental data, evaluate it, interpret it, and then translate it into an answer that the business user can understand. 

Analysts, Business Users, Executives and more can all relate to the “vicious cycle” of gleaning insights from their organization’s data.

This then prompts more follow up questions, and the vicious cycle continues. This process is currently very time-consuming, and inefficient. 

Why Does This Matter?

Organizations that are stuck in this vicious cycle are likely experiencing one or more of these side effects as a result:

• Wasted time and resources
• Wrong strategies and tactics in the market
• Missed company targets
• Vulnerability to competitors

The challenge to analysts and insights leaders is, “How do we get people the answers they need, FASTER?” 

Faster insights means better, informed business decisions can be made more quickly, which can mean the difference between outpacing your competitors or getting left behind.

Who Does the Vicious Cycle Affect?

The vicious cycle of data analysis is a broad enterprise problem that doesn’t just stop at the analysts’ desks. At the core of this challenge is the fact that despite the vast amounts of data available, gleaning actionable insights remains a significant stumbling block. 

• For executives, this cycle means strategic decisions are often delayed or are based on incomplete insights, potentially resulting in poor market tactics or even missing crucial business targets.
• Business users, typically in need of quick answers for operational decisions, find themselves stuck in a loop of follow-up questions for which they are often reliant on analysts to help answer.
• Analysts, entrusted with the task of data analysis and interpretation, often find themselves overwhelmed by the demands of multiple stakeholders, which they juggle alongside business-critical initiatives.
• For data scientists, this process can be particularly frustrating as the tools and dashboards they’ve crafted, while advanced, still don’t yield the streamlined, quick insights the business desperately seeks.

What do these personas need to break out of the vicious cycle?

What Does the Vicious Cycle Look Like in Real Life?

Global Pharma Manufacturer

This pharmaceutical manufacturer has been trying to understand their performance in the market, as it relates to the sales team’s performance. 

They have a huge sales force that is in the field talking to doctors and hospitals on a regular basis, promoting the company’s prescriptions. The ability to analyze the efforts of this sales force to see what’s working, what isn’t working and change tactics on the fly is crucial to the success of the company.

Up until now, they have never been able to combine their market performance with what their sales time is doing. Questions like:

• How is our sales team impacting a change in the market?
• Does more prescriptions written equate to more share in the market?

AnswerRocket developed the omnichannel sales driver copilot, combining data that has never been combined in the past: market performance + sales teams efforts. Sales leaders can now see what’s working, what’s not, what’s driving growth, what to avoid, all with the goal to drive additional share gains.

By implementing this copilot and follow up questions, this allows them to pinpoint regions or districts that are struggling (to help) or pinpoint areas that are succeeding and implement what they’re doing in other areas. 

Global Beverage Leader                       

This multinational enterprise has prioritized working with brand equity data to drive their global marketing efforts and pricing strategies. This data captures how consumers perceive  their brands in the marketplace. 

In the past, someone like the CMO might ask “why is brand equity down in Europe?” and then everyone would drop what they’re doing and try their best to tell a story from very complex data.

Their data provider partner does not currently have great tools for storytelling. They have dashboards, but that’s it. 

With the Max brand guidance copilot, they can  glean insights and answer questions faster than ever before,  taking a 21-day process each quarter down to just 5 days (a 75% reduction). 

Previously, it was nearly impossible to keep a “real time pulse” on what was going on in the marketplace. But now that they’re able to cut out about 4 business weeks of wait time, they’re able to be as agile as they want to be. 

How are We Breaking the Vicious Cycle?

With our first-of-its-kind AI assistant for data analysis, Max, we put the power of data analysis in the hands of everyone in your organization, not just a select few. No matter your role, your technical experience, or what your insights goals are, Max is here to help. 

By integrating with the power of GPT with AnswerRocket, Max allows users a chat-based analytics experience that allows them to ask questions in basic, conversational English, and get answers back in plain English. By getting “beyond the dashboard” and avoiding complex reports, there is no longer a steep learning curve. 

This element of self-service allows business users and executives to  investigate changes on their own, and ask follow up questions on the fly for deeper insights. 

Check out this 90-second Max demo below to see more of what Max can do. 

Bringing Max to the Enterprise

At AnswerRocket, we have been working with each individual customer to thoroughly understand the problems they’re experiencing. Each customer situation is nuanced, and has a workflow that we need to fit into.

We like to understand:

• What is the current state of data analysis in the organization?
• What should the future state of data analysis look like?
• What is their vision for what an AI assistant could do?
• What should the output look like?
• What insights are they missing today that they would like to have?

The process is very consultative and individualized. 

We are trying to understand the skills that are required to solve each customer problem. Information such as what are the data sources and formats, how do we insert our tool to make it a seamless part of their existing workflow?

In this way, we can co-create a purpose-built analytics copilot that addresses our customer’s needs head on. 

Max is helping to achieve the AnswerRocket mission more than ever before, automating meaningful insights to help decision-makers take action, faster. 

The post Breaking the Vicious Cycle first appeared on AnswerRocket.

ATLANTA—Sept. 19, 2023—AnswerRocket, an innovator in GenAI-powered analytics, today announced new features of its Max solution to help enterprises tackle a variety of data analysis use cases with purpose-built GenAI analysts.

Max offers a user-friendly chat experience for data analysis that integrates AnswerRocket’s augmented analytics with OpenAI’s GPT large language model, making sophisticated data analysis more accessible than ever. With Max, users can ask questions about their key business metrics, identify performance drivers, and investigate critical issues within seconds. The solution is compatible with all major cloud platforms, leveraging OpenAI and Azure OpenAI APIs to provide enterprise-grade security, scalability, and compliance. 

“AI has been reshaping what we thought was possible in the market research industry for the past two decades. Combined with high-quality and responsibly sourced data, we can now break barriers to yield transformative insights for innovation and growth for our clients,” said Ted Prince, Group Chief Product Officer, Kantar. “Technologies like AnswerRocket’s Max combined with Kantar data testify to the power of the latest technology and unrivaled data to shape your brand future.”

Following its March launch, AnswerRocket has been working with some of the largest enterprises in the world to solve critical data analysis challenges using Max. Highlighted applications of the GenAI analytics assistant include:

• Automating over a dozen analytics workflows for a Fortune 500 global beverage leader, reducing time to insights by 80% and empowering decision-makers to respond quickly to market share and brand equity changes with data-driven action plans.
• Helping a Fortune 500 pharmaceutical company generate groundbreaking insights revealing the direct impact of sales activities on market share.
• Empowering a global consumer packaged goods leader to quickly respond to macro market trends by generating insights from unstructured market research alongside structured company performance analysis.

“Today’s enterprises demand instant insights, and the traditional methods are no longer sufficient on their own,” said Alon Goren, CEO, AnswerRocket. “Max is enabling several of the world’s most recognizable brands to understand better what’s driving shifts in their business performance, effectively turning their vast data lakes and knowledge bases into a treasure trove of business insights.”

Max’s advanced capabilities solidify its position as the first GenAI assistant for data analysis built for the enterprise. Enhancements to the solution include:

• Customizable Analyses: Out-of-the-box Skills used by Max for business performance analysis, including search, metric drivers, metric trend, competitor performance, and more. AnswerRocket also offers support for custom Skills using enterprises’ own models. Skills can be configured to reflect unique business rules, processes, language, outputs, etc. 
• Structured and Unstructured Data Support: Max supports both tabular and text-based data analysis, allowing companies to glean insights from vast enterprise data, documents, and multiple data sources seamlessly in a single conversation.
• Automation of Routine Analysis Workflows:  Max can execute multi-step analytics processes to free up analyst time for more strategic projects while giving business stakeholders timely analysis and self-service answers to ad hoc follow-up questions.
• Integration with Third-party Tools: Embed the Max chat experience into tools like Power BI, Slack, Teams, and CRMs, enabling users to analyze their data in tools they’re already using.

“Max brings forward a seismic shift in how companies can transform their data into actionable intelligence with unprecedented speed,” continued Goren. “With Max, everyone within the enterprise can have immediate access to an AI analyst, providing them with prescriptive recommended actions and helping to guide them towards data-driven decisions.” 

AnswerRocket is a Platinum Sponsor of Big Data LDN, taking place on September 20-21, 2023 at Olympia in London. They will be showcasing their revolutionary GenAI analytics assistant, Max, alongside early adopters of the technology in three sessions:

• Wednesday, September 20 from 4:40 – 5:10 p.m. – How CPW Scaled Data-Driven Decisions with Augmented Analytics & Gen AI (Chris Potter, Global Applied Analytics, Cereal Partners Worldwide; Joey Gaspierik, Enterprise Accounts, AnswerRocket)
• Thursday, September 21 from 2:40 – 3:10 p.m. – How Anheuser-Busch InBev Unlocked Insights on Tap with a Gen AI Assistant (Elizabeth Davies, Senior Insights Manager, Budweiser – Europe, Anheuser-Busch InBev; Joey Gaspierik, Enterprise Accounts, AnswerRocket)
• Thursday, September 21 from 4:00  – 4:30 p.m. –  Maximizing Data Investments with Automated GenAI Insights (Ted Prince, Group Chief Product Officer, Kantar; Alon Goren, CEO, AnswerRocket)

For more information on AnswerRocket’s industry-leading solutions, please visit: https://answerrocket.com/max.

About AnswerRocket

Founded in 2013, AnswerRocket is a generative AI analytics platform for data exploration, analysis, and insights discovery. It allows enterprises to monitor key metrics, identify performance drivers, and detect critical issues within seconds. Users can chat with Max–an AI assistant for data analysis–to get narrative answers, insights, and visualizations on their proprietary data. Additionally, AnswerRocket empowers data science teams to operationalize their models throughout the enterprise. Companies like Anheuser-Busch InBev, Cereal Partners Worldwide, Beam Suntory, Coty, EMC Insurance, Hi-Rez Studios, and National Beverage Corporation depend on AnswerRocket to increase their speed to insights. To learn more, visit www.answerrocket.com.

Contacts

Vivian Kim
Director of Marketing
vivian.kim@answerrocket.com
(404) 913-0212

The post AnswerRocket’s GenAI Assistant Revolutionizes Enterprise Data Analysis first appeared on AnswerRocket.

We really enjoyed being a Platinum Sponsor of this event, and connecting with so many great people while we were there!

What is Big Data LDN?

The UK’s leading data, analytics and AI event. Big Data LDN (London) is the UK’s leading free to attend data, analytics & AI conference and exhibition, hosting leading data, analytics & AI experts, ready to arm you with the tools to deliver your most effective data-driven strategy. Discuss your business requirements with over 180 leading technology vendors and consultants. Hear from 300 expert speakers in 15 technical and business-led conference theaters, with real-world use-cases and panel debates. Network with your peers and view the latest product launches & demos. Big Data LDN attendees have access to free on-site data consultancy and interactive evening community meetups. Learn more at BigDataLDN.com.  

While we were there, we met with lots of people at our booth (pictured below) and hosted 3 different sessions. We were lucky enough to have some our great customers and even a partner join us on stage for those sessions.

Check out some of the highlights from the show in the gallery below.

Gangs all here!

A bird’s eye view of the conference floor.

Connecting with the audience at the booth.

Our own Alon Goren alongside Ted Prince of Kantar.

Chris Potter, CPW, Alon Goren, AnswerRocket, Liz Davies, AB InBev

Our presentation with Anheuser-Busch

Creating some content alongside Chris Potter, CPW.

Enjoying the local pub scene after a great day at the show.

Cheers to great partnerships!

If you weren’t able to attend the show, or if you’d like to rewatch one of our sessions, you can click on the session titles below to watch a recording. 

WHAT: How Cereal Partners Worldwide Scaled Data-Driven Decisions with Augmented Analytics & Gen AI

WHEN: Wednesday, Sept 20, 4:40 p.m.

WHERE: Gen AI & Data Science Theatre Session

WHO: Chris Potter, Global Applied Analytics, Cereal Partners Worldwide

Joey Gaspierik, Enterprise Accounts, AnswerRocket

Step inside the transformative journey of Cereal Partners Worldwide (CPW), a joint venture between industry giants General Mills & Nestlé, as they redefine decision-making in the era of AI & Big Data. Hear how CPW modernized its analytics processes, turning to augmented analytics and generative AI to realize their vision for a data-driven culture. We’ll share challenges faced, strategies implemented, and the tangible results achieved in this ongoing journey towards democratized analytics.

WHAT: How Anheuser-Busch InBev Unlocked Insights on Tap with a Gen AI Assistant

WHEN: Thursday, Sept 21, 2:40 p.m.

WHERE: Gen AI & Data Science Theatre Session

WHO: Elizabeth Davies, Senior Insights Manager, Budweiser – Europe, Anheuser-Busch InBev

Joey Gaspierik, Enterprise Accounts, AnswerRocket

Gaining a competitive edge in today’s business landscape requires instant, actionable insights. Hear how global beverage titan Anheuser-Busch InBev is transforming its workflows with AI assistants for automated and ad hoc analysis and insights. We’ll discuss real-world use cases and highlight how Insights teams are empowering their business counterparts to make faster, better decisions at scale.

WHAT: Maximizing Data Investments with Automated GenAI Insights

WHEN: Thursday, Sept 21, 4:00pm

WHERE: X-Axis Keynote Theatre 

WHO: Ted Prince, Group Chief Product Officer, Kantar

Alon Goren, CEO, AnswerRocket

We have more data at our disposal than ever, but extracting true value from it remains a challenge. Generative AI and machine learning have opened up new possibilities for transforming raw data into actionable business insights with unprecedented efficiency and precision. Hear how Kantar, a data and insights leader, and AnswerRocket, a Gen AI analytics platform, are applying these powerful technologies to help companies analyze business performance, forecast market trends, and spot anomalies in seconds. Attendees will gain a comprehensive understanding of how to leverage their data assets more effectively, ensuring every data investment drives business growth and innovation.

If you weren’t able to attend but would still like to connect with us, click the link below. 

Request a demo with a member of our team here.

The post Past Event: AnswerRocket at Big Data LDN first appeared on AnswerRocket.

Watch the video below or read the transcript of the interview to learn more.

How is AnswerRocket making these emerging technologies enterprise-ready?

Mike: I would start simply by saying that the idea of keeping data secure and providing answers that are of high integrity is table stakes for an enterprise provider. Making sure that users who should not have access to data don’t have access to it and that the data is never leaked out, right? That’s table six for any software at the enterprise. And so it doesn’t change with the advent of the AI technology. So AnswerRocket is very focused on ensuring that data flowing from the database to the models, whether it’s the OpenAI models or other models of our own, does not result in anything being trained or saved. So that it could be used by some third party, so that it could be leaked out, so that it could be taken advantage of in any way other than its intended purpose. So that’s a core part of what we offer. 

The flip side of that is, as you mentioned, many of these models are sort of famous at this point for producing hallucinations, where when you under specify what you ask the model, you don’t give it enough information, it fills in the blanks. It’s what it does, it’s generative, right? The G in generative is what makes it want to fill in these blanks. AnswerRocket takes two steps to ensure that doesn’t happen. First of all, when we pose a question to the language model, we ensure that the facts supporting that question are all present. It doesn’t need to hallucinate any facts because we’re only giving it questions that we have the factual level answers for so that it can make a conversational reply. The second thing we do is when we get that conversational reply, like a good teacher, we’re grading it. We’re going through checking every number, what is the source of that number, is that one of the numbers that was provided? 

Is it used in the correct way? And if so, we allow that to flow through and if not, we never show that to the user, so they never see it. A demonstration is not value creation, right? A lot of companies that just kind of learned about this tech are out and are out there demonstrating some cool stuff. Well, it’s really easy to make amazing demonstrations out of these language models. What’s really hard is to make enterprise solutions that are of high integrity that meet all of the regulatory compliance requirements that provide value by building on what your knowledge workers are doing and making them do a better job still. And so that’s very much in the DNA of AnswerRocket. And it’s 100% throughout all the work that we do with language models. 

How can enterprises avoid data leakage and hallucinations when leveraging GPT?

Pete: A lot of the fear that you hear people saying, oh, I’m going to have leaking data and so on, a lot of that’s just coming from ChatGPT. And if you go and read the terms and conditions of ChatGPT, it says, hey, we’re going to use your information, we’re going to use it to train the model. And it’s out there. That’s where you’re seeing a lot of companies really lock down ChatGPT based on the terms and conditions that makes sense. But when you look at the terms and conditions of, say, the OpenAI API, it is not using your data to train the model. It is not widely available to even anybody inside of the company, it’s removed in 30 days and so on. So those are much more restrictive and much more along the lines of what I think a large enterprise is going to expect.

You can go to another level. And I think a lot of our, what we’re seeing is a lot of our customers, they do a lot of business with, say, Microsoft. Microsoft also can host that model inside the same environment that you’re hosting all your other corporate data and so on. So it really has that same level of security that if you trust, say, Microsoft, for example, to host your corporate enterprise data, well then really trusting them to sort of host the OpenAI model is really on that same level. And what we’re seeing is large enterprises are getting comfortable with that. And in terms of hallucinations, as Mike said, it’s really just important how we use it. We analyze the data, we produce facts, and there are settings in these large language models to tell it how creative to get or not. And you say, don’t get creative, I just want the facts, but give me a good business story about what is happening. 

And then we also provide information to the user that tells them exactly where that information came from, traceable all the way down to the database based, all the way down to the SQL query so that it’s completely audible in terms of where the data came from and being able to trust. 

In Conclusion

Analytics and Insights leaders who wish to utilize ChatGPT technology in their organizations have to balance the possible rewards with the risks. We’re committed to providing a truly enterprise-ready solution that leverages the power of ChatGPT with our augmented analytics platform to securely get accurate insights from your data. By providing AI models with complete and correct supporting facts, we can eliminate the possibility for hallucinations and maintains full control over the generated responses in the platform. Furthermore, we use astringent grading process to validate the AI-generated insights before presenting them to the users. 

The post Preventing Data Leaks and Hallucinations: How to Make GPT Enterprise-Ready first appeared on AnswerRocket.