Recorded live at We Make Future in Bologna, this special episode brings together conversations with industry leaders, innovators, and technology experts on the latest developments in AI, data, digital transformation, and the future of enterprise technology.

Recorded live at Accelerate in Las Vegas, this episode of Inside Analysis explores how enterprise infrastructure is evolving for the AI era. Host Eric Kavanagh sits down with Pure Storage's Angad Narang to discuss Everpure as a service, and guaranteed performance, then speaks with Ashish Gupta about the growing importance of data intelligence and making enterprise data AI-ready. Together, they examine why data-centric infrastructure is becoming the foundation for modern, intelligent enterprises.

Join this episode of Inside Analysis live at We Make Future with Paolo Dello Vicario, CEO and Co-Founder of ByTek, and Iulia Feroli, Founder of Back to Engineering. Learn how AI is helping organizations derive greater value from customer data while maintaining privacy and trust. Take a look at the growing Physical AI movement and explore how robotics and autonomous systems are becoming increasingly practical, accessible, and impactful across industries.

Join this episode of Inside Analysis as Eric Kavanagh speaks with Thiru M. Arunachalam of Walt, Jason Wells of AI Dev Lab, and Rohit Choudhary of Acceldata about the data foundations required to power the next generation of enterprise AI. Across three conversations, the guests explore how organizations are modernizing data architectures, leveraging knowledge-driven approaches, and improving data observability to support AI agents and intelligent automation. Learn about the critical role of data quality, context, governance, and operational reliability in delivering trustworthy AI outcomes at scale. Get a roadmap for organizations looking to transform raw data into actionable intelligence and sustainable business value.

Join this Inside Analysis episode from Boomi World as Eric Kavanagh explores how AI agents are moving from experimentation to real enterprise operations. Guests John Baker of Lexitas, Mani Gill and Michael Bachman of Boomi discuss how AI is being operationalized across integration, governance, and development. From agentic accounting workflows at Lexitas to Boomi's work on knowledge graphs, policy, and AI skills, learn how enterprises are building governed, context-aware systems for autonomous AI.

Join this episode of Inside Analysis as host Eric Kavanagh explores two of the most critical challenges shaping the AI era: governance and enterprise transformation. He is joined by Blake Brannon of OneTrust, who discusses how organizations can assess AI risk, translate policies into enforceable guardrails, and build governance frameworks that align with their unique compliance and operational needs. Next, Lamiaa Farrag of Nestlé shares insights on the shift from experimental AI pilots to autonomous enterprise execution, emphasizing the vital role of data integration and interoperability. Learn how enterprises are navigating the complexities of AI adoption while laying the foundation for scalable, intelligent operations.

Large Language Models are rapidly reshaping the way people search for information, write software, analyze documents, and interact with machines. But beneath the polished interfaces and conversational fluency lies a complex architecture built on probabilities, patterns, transformers, and attention mechanisms. Understanding how these systems actually work is becoming increasingly important for business leaders, technologists, and everyday users alike.

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id= "request-WEB:ef48629d-a704-4080-88cf-ed7829259617-6" data-testid= "conversation-turn-14" data-scroll-anchor="false" data-turn= "assistant"> Join this episode of Inside Analysis as host Eric Kavanagh speaks with two experts exploring key frontiers in modern technology: inclusive digital design and the safe deployment of AI systems. First, Imogen Wethered of EnableAll explains how AI-powered accessibility tools are helping people with disabilities navigate the web more easily, while also improving SEO and boosting business conversion rates through better metadata, interface design, and compliance with accessibility standards. Then, Tyler Akidau, CTO of Redpanda Data, examines the challenges of building and governing agentic AI systems in the enterprise. He breaks down why AI agents behave more like unpredictable "digital coworkers" than traditional software, and why organizations must rely on external guardrails, observability, and infrastructure-level governance to keep these systems safe, reliable, and effective at scale.  

The forcing function of AI and agents puts tremendous pressure on data teams to get their house in order. The demands for getting "AI-Ready" are coming from all sides, and there are countless methods being touted. The most promising approach? A graph for all your data! Internet powerhouses like Meta, LinkedIn and others have demonstrated the remarkable power of graph technology. Join this episode of InsideAnalysis to learn how your organization can connect all the dots, and enter the AI era with confidence. Harsha Chintatalapani of the OpenMetadata Project, and Co-Founder of Collate, will demonstrate how semantics can be baked into every data structure via automation and curation using open standards. Also joining the show will be world-renowned Data Maven, Jessica Talisman, who will explain how a data graph can solve for the many challenges that Master Data Management and Data Virtualization were supposed to fix. She'll also share how Web Ontologies (OWL) and Reference Description Frameworks (RDF) are finally coming into their own, offering tremendous promise for enabling the semantics that can pave a smooth transition into Enterprise AI. What you'll learn: • The difference between a data graph and a domain ontology, and why it matters for AI • How semantic metadata graphs connect your domain logic to enterprise data assets • What OWL and RDF enable that data catalogs and MDM tools cannot • How to get started quickly using RDF/DCAT standards, automated semantics, and glossary-to-source linking

Dive into this episode of InsideAnalysis as Steve Lucas, CEO of Boomi, joins Eric Kavanagh at the HumanX Conference to explore how AI is fueling an explosion of software - and the chaos that comes with it. As more applications are built faster than ever, organizations face growing challenges around quality, governance, and integration. Learn how businesses can turn that chaos into opportunity by bringing structure and clarity to their data and systems. It's a timely look at what it takes to stay in control in an AI-driven world.