In a remote sales world, practicing cold-call skills can be tough—but I’ve built a tool to make it easier. Using a custom ChatGPT, BDRs at data.world can now engage in realistic, on-demand role-play sessions that challenge them to handle objections just like in real sales conversations. This GPT-based “virtual trainer” not only provides real-time feedback but also suggests personalized learning resources through our Vectorizer system, making it a unique way for reps to sharpen their skills on their schedule. Listen to an example interaction, and see how this AI-powered approach is helping our team build confidence and proficiency, one role-play at a time.

In a groundbreaking study on AI’s role in scientific discovery, Aidan Toner-Rodgers explores how a specialized AI tool transformed materials innovation in a leading U.S. R&D lab. While AI-assisted scientists discovered more novel compounds and filed more patents, the impact varied widely across skill levels. This case demonstrates why AI Operations is essential in bridging the gap between technology and human expertise—aligning AI capabilities with scientists’ skills to maximize innovation. Read on to see how AI Operations provides the critical link between AI’s potential and real-world productivity in scientific research.

At data.world, we’re embracing AI with a proactive approach that aligns closely with industry trends. Our focus on training, experimentation, and consistent usage of generative AI tools has led to impressive engagement: 78% of our employees use ChatGPT Teams accounts, averaging 2.35 Custom-GPT sessions per week—well above industry averages. By fostering an “internally led” AI strategy, we’re not only tracking with the report’s findings but also setting ourselves apart in adoption, education, and responsible innovation. As generative AI continues to evolve, data.world is committed to leading the way in meaningful AI integration.

Owl Genius is data.world’s latest AI-powered app, developed as part of our AI Champions initiative. By combining OpenAI’s language capabilities with our in-house Vectorizer middleware, Owl Genius delivers personalized learning plans that adapt to each user’s unique needs. In this post, I’ll share how the AI Champions team built Owl Genius, how it’s helping our employees grow, and how it taps into data.world’s vast knowledge ecosystem to provide powerful, targeted learning experiences.

At data.world, we’re always looking for ways to use AI to make our teams more productive and deliver value faster. Our latest innovation, the Custom Demo Generator, automates the creation of personalized demos, transforming a process that once took days into one that’s completed in minutes. By tailoring demos to each client’s unique industry and needs, we’re helping prospects see the true impact of our platform in their own context. In this post, I’ll walk through how the tool works, how it’s saving time for our sales team, and how it’s enhancing our customer interactions.

Learn how data.world developed Fedbot, an AI-driven chatbot tailored specifically for the federal sector. Embedded on a partner’s site, Fedbot leverages our Vectorizer with a custom Knowledge API to deliver accurate, real-time answers from a curated knowledge base. This post dives into the unique build process, from integrating federal-specific PDFs to creating a fully responsive, embeddable app—resulting in a powerful tool that serves as a one-stop solution for federal agencies.

The world of AI has seen rapid evolution, and at data.world, we've been at the forefront of this revolution. As we continue to grow and adapt to the ever-changing landscape, it's essential to look back at where we started, understand the challenges we faced, and appreciate the solutions we've implemented to meet those challenges. This post will take you through the journey of AI Operations (AI Ops) at data.world, the need for scaling, and the pivotal role that Chat-GPT Teams has played as a front-end for our operations.

Discover how data.world’s AI Docs Bot is transforming access to critical documentation. Built on our Vectorizer and seamlessly integrated into our documentation site, the AI Docs Bot uses vector search and retrieval-augmented generation (RAG) to quickly surface relevant answers from over a thousand pages. This post explores how we created this tool in just four weeks, optimized its performance with prompt engineering, and the impact it’s having on our internal teams and customer experience.

I'm sharing this short article in case others are trying to solve a similar problem. Here is the setup: we’ve created several early and MVP versions of some generative AI tools for data.world. These tools were either quick Streamlit or React/Node apps that interacted with OpenAI through a detailed system message and a Retrieval-Augmented Generation (RAG) architecture.

Juan and Tim’s engaging conversations on enterprise data just got even more interactive – with our new app. Ask questions, explore episodes, and dive into discussions with your favorite guests, all powered by data.world's cutting-edge AI Operations. Ready to chat? Jump in now!

At data.world, we’re excited to announce the release of the Catalog & Cocktails Chat Experience, an innovative, mobile-friendly app that leverages our newly developed Knowledge API, part of the powerful Vectorizer-2 toolset. This new feature is designed to enhance the accuracy and depth of information our chatbot can provide, transforming how we manage and utilize content. Let’s dive into the technical details of this API and understand why it’s a game-changer for our AI operations.

At data.world, we have been on a journey to build the necessary infrastructure to fully leverage AI in the enterprise (read about our AI Context Engine) but we’re not just developing tools for our customers we’re developing tools for ourselves. This post is about an internal tool we call the Vectorizer and is a significant step towards creating a culture of AI usage within our organization, enabling us to streamline processes, enhance productivity, and foster innovation.

My recent podcast appearance on Catalog & Cocktails where I talk about pent-up innovation in the enterprise and how GenAI is unlocking it.

As we witness an explosion of innovation fueled Generative AI, it's crucial to understand how it can be harnessed to its full potential in the enterprise to create innovation and joy. This blog post explores the transformative impact of generative AI on the enterprise, drawing from historical patterns of innovation and current trends.

I've been reflecting on the transformative potential of generative AI and the innovation surge we're witnessing. This post explores how generative AI is creating unprecedented opportunities within enterprises, reshaping how we work and innovate.

As we move ahead in the emerging field of AI Operations, it's instructive to delve deeper into historical events and extract specific, actionable lessons that can inform our journey. Each of these milestones not only shaped their era but also left a legacy of insights highly relevant to the challenges and opportunities of integrating AI into modern business operations.

In the turbulent and rapidly evolving landscape of AI, companies are increasingly recognizing the need for dedicated leadership to steer their AI strategies. As the newly appointed Vice President of AI Operations at data.world, I've been navigating these uncharted waters, focusing on integrating AI to boost productivity and foster innovation. A critical aspect of my role involves defining and tracking Key Performance Indicators (KPIs), or OKRs, that not only gauge the effectiveness of our AI initiatives but also pave the way for future investment.

The integration of Artificial Intelligence (AI) into business operations marks a transformative journey, reshaping not only a company's technological landscape but also its entire strategic outlook. At data.world, we have navigated this path by incorporating AI across various aspects of our operations, leading to significant improvements in productivity and strategic decision-making.

In the realm of artificial intelligence, the intricacies of AI app development, particularly in AI Operations, are becoming crucial. At data.world, we're at the forefront of this domain, distinguishing subtle yet impactful differences in our approach to AI, specifically between what we call Semantic Index and RAG Index.

In the rapidly evolving field of AI operations, the intersection of technology and business understanding is paramount. At data.world, we've adopted a unique approach to AI ops that emphasizes the importance of listening before building. This approach has been instrumental in our journey to integrate AI into our operations effectively.