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Meagan Bryson

Meagan Bryson

View all blog posts by Meagan Bryson, Content Marketing Manager for AnswerRocket.

AI, Actually – Episode 26: Multiplayer AI, Harnesses, and Why Pacing the Frontier Won’t Change Your Roadmap

Welcome to Episode 26 of AI, Actually! This week Pete Reilly hosts Alon Goren, Mike Finley, and Stew Chisam for a wide-ranging conversation on where enterprise AI is headed next. The discussion starts with the gap between AI that makes one person more productive and AI that coordinates work across an entire team, then moves

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Mike Talks Merging AI Models with Business Reality on the Inside Analysis Podcast

Mike Finley, AnswerRocket Co-Founder, CTO and Chief Scientist joins Eric Kavanagh on his podcast, Inside Analysis. You can listen to this episode of the podcast on Apple Podcasts and Spotify. Join this episode of Inside Analysis as host Eric Kavanagh dives into the dynamic intersection of traditional machine learning and modern LLMs with guest Michael

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Max for Retail: Your Gen AI Analyst for Retail Insights

Max for Retail is a GenAI-powered assistant developed by AnswerRocket and Robling that simplifies retail data analysis through conversational interaction, making it accessible for teams to generate tailored insights, explore performance trends, and adapt strategies seamlessly. By transforming complex data into actionable visualizations in real-time, Max empowers merchandising, marketing, and operations professionals to make data-driven

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Meet Max, a GenAI Assistant for Convenience Retail Teams

Chat with Max for 10x faster insights on your convenience retail data with generative AI Drive convenience store growth with the power of AI analytics Analyze convenience store data just by chatting Chat with Max to gain valuable insights on your store performance, product categories, local market trends, and customer data – anywhere, anytime. Our

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Meet Max, a GenAI Assistant for CPG Teams

Chat with Max for 10x faster insights on your CPG data with generative AI Drive brand and category growthwith 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

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How AI is Powering the Next Wave of CPG Analytics

Topic: CPGs and FMCGs need to understand their data and insights. Augmented analytics is disrupting how businesses access this vital information. Learn how augmented analytics automates time-consuming analysis and leverages natural language to power insights that CPGs can use to get an edge over their competition. Speakers:

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The AI Opportunity: How CPGs Can Turn Speed Into Growth

Topic: CPGs can leverage the power of AI to understand the story in their data, eliminate the grunt work of routine reporting, and focus their efforts on strategic growth planning. With AI-powered automation of analysis, CPG professionals can receive a full breakdown of the actions that will impact your bottom line the most. Learn how

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AnswerRocket Unveils Skill Studio to Empower Enterprises with Custom AI Analysts for Enhanced Business Outcomes

Skill Studio goes beyond generic AI copilots by providing a personalized approach to enterprise analytics 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

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Unlocking the Power of Generative AI with AnswerRocket

Unlocking the Power of Generative AI with AnswerRocket: A Conversation with Our CTO, Mike Finley 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

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AnswerRocket’s GenAI Assistant Revolutionizes Enterprise Data Analysis

Industry-first GenAI analytics platform unlocks actionable business insights with Max, a highly customizable AI data analyst. 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

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Transform CPG Analytics with AnswerRocket: Max, the AI Assistant for Accelerated Insights

In this interview, Ryan Goodpaster, Enterprise Account Executive at AnswerRocket, highlights our focus on helping customers obtain rapid insights from their enterprise data. We do this by using advanced techniques such as natural language processing, natural language generation, AI, machine learning, model integration, and GPT (Generative Pre-trained Transformer). Specializing in consumer goods, AnswerRocket’s expertise extends to uncovering

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Discover AnswerRocket: Unlocking the Power of AI for Your Enterprise Data Analysis

We talked to our own Ryan Goodpaster, Enterprise Accounts, and discussed how AnswerRocket utilizes natural language processing, AI, machine learning, and GPT to help customers gain rapid insights from their enterprise data. AnswerRocket aims to tackle the challenge of time-consuming data analysis and empower analysts to focus on strategic decision-making. Watch the video below or read

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Preventing Data Leaks and Hallucinations: How to Make GPT Enterprise-Ready

In the rapidly evolving landscape of analytics and insights, emerging technologies have sparked both excitement and apprehension among enterprise leaders. The allure of Generative AI models, such as OpenAI’s ChatGPT, lies in their ability to generate impressive responses and provide valuable business insights. However, with this potential comes the pressing concern of data security and the

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How AnswerRocket’s AI-Driven Insights Revolutionize Enterprise Analytics

In today’s fast-paced business landscape, making informed decisions quickly is crucial for the success of large organizations. The abundance of constantly growing data poses a challenge, as extracting actionable insights from it becomes a time-consuming process. Enter AnswerRocket, merging the power of ChatGPT with enterprise analytics. In a recent interview with Pete Reilly, COO, and Mike Finley, CTO, they

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What Analytics Leaders Can Learn from ChatGPT

5 tips for creating a groundswell of analytics adoption within your organization. ChatGPT Enters the Scene ChatGPT launched in November 2022 and within 5 days it had reached one million users, shattering every previously held record by an online service. Users piled on to create free accounts and dive into the new technology headfirst. Some were

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AI, Actually – Episode 25: Why AI Agent Pricing Should Be Value-Driven

Welcome back to AI, Actually! This week Jim Johnson hosts Andy Sweet, Ada Gil, and Nicole Kosky for a conversation that keeps coming back to one persistent question: where is the ROI in AI actually coming from? The team argues that the answer requires a reframe. Companies aren’t buying technology, they’re buying intelligence, and that

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Inside Claude Managed Agents: Architecture, Primitives, and Cost Tradeoffs

Every custom agent harness makes assumptions about what the model can and can’t do on its own. Those assumptions go stale as the model improves. An earlier version of Claude would wrap up tasks prematurely as its context window filled, a behavior sometimes called context anxiety. Teams built context resets into their harness to compensate.

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AI, Actually – Episode 24: Token Management, Spend, and How to Actually Bring AI Costs Down

Welcome to Episode 24 of AI, Actually! This week Jim Johnson hosts a deep dive into one of the least understood parts of enterprise AI: what it actually costs to run it. He’s joined by Shanti Greene and Stew Chisam, along with first-time guest Jake Barger, for a wide-ranging conversation on tokens, routing, and the

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AI Agents vs. Agentic Workflows: When to Use a Loop and When You Need a Graph

TL;DR: Every AI agent design starts with the same question: how should this actually be built? For a while, the answer was simple: loops, full stop. The Ralph Wiggum loop, a script that reruns an AI coding agent against the same task until it passes a test suite, became shorthand for that era. It removed

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AI, Actually – Episode 23: Loops vs. Graphs: What These AI Agent Design Patterns Mean for Your Business

Welcome to Episode 23 of AI, Actually! Pete Reilly hosts this episode, joined by Shanti Greene, Mike Finley, and Stew Chisam for a conversation sparked by a single viral post online: are we still building AI systems around loops, or has the industry moved on to graphs? The team unpacks what that distinction actually means,

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AI, Actually – Episode 22: AI Intelligence Isn’t Free: Token Costs, TCO, and ROI Math for Enterprise AI

Welcome to Episode 22 of AI, Actually. Jim Johnson is back in the host seat, joined by regulars Nicole Kosky, Shanti Greene, and Andy Sweet for a conversation that pulls together three topics that look separate on the surface but turn out to be closely connected: early impressions of Fable 5, the rising scrutiny around

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Episode 21 cover for the podcast 'AI, Actually' with a purple gradient left panel and a four-person video call collage (two men, two women) on the right.

AI, Actually – Episode 21: Getting Enterprise Agent Implementations Right: Completed Workflows, Not Just Smarter Models

Welcome to Episode 21 of AI, Actually. This week Pete Reilly hosts a conversation with Shanti Greene, Mike Finley, and first-time guest Ada Gil, who leads the AI business transformation practice at AnswerRocket. The discussion is built around a recent video from Nate B. Jones called The Trillion Dollar Agentic Workflow Opportunity Is Here. The

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Podcast cover: Episode 20 of 'AI, Actually' with a purple gradient left panel and 'EPISODE 20'; four people appear in a video-call grid on the right.

AI, Actually – Episode 20: Is Your Data AI-Ready? The Semantic Layer and the Last Mile Problem

Welcome to Episode 20 of AI, Actually! This milestone episode brings together Jim Johnson and Andy Sweet alongside returning guest Nicole Kosky and a new voice to the podcast, Ben Titmus, who leads the data, platforms and infrastructure practice at AnswerRocket. The topic? The one thing that underpins all of AI: data. The conversation cuts

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AI, Actually – Episode 19: The Forward Deployed Engineer: What the Role Really Means (And What We Should Actually Call It)

Welcome to Episode 19 of AI, Actually! This week Jim Johnson hosts Shanti Greene, Nicole Kosky, and Stew Chisam for a conversation about one of the more talked-about terms in enterprise AI right now: the forward deployed engineer. The team sets out to cut through the noise and get at what this role actually means

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AI, Actually – Episode 18: How to 10x Your Individual Productivity with AI

Welcome to Episode 18 of AI, Actually! This week, Pete Reilly hosts a candid conversation with Mike Finley, Nicole Kosky, and newcomer Michelle Hamilton, who joins AnswerRocket fresh from years of helping organizations navigate AI change management. The topic: why some companies are stuck in pilot purgatory while individual employees are quietly getting 10x more

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