Talking AI

• Democratizing AI: How to Empower Your Organization

  In this episode, host Matt Paige sits down with AI expert Andreas Welsch to talk about how companies can turn AI hype into real business value. Andreas shares his experience working with big enterprises and stresses the importance of training teams to use AI effectively. He explains that success in AI isn’t just about using new tools—it’s about better leadership and smarter integration into everyday work.They discuss practical ways to boost AI skills through “social blended learning,” which mixes quick lessons with hands-on practice. Andreas also talks about the evolving role of the chief AI officer, who helps bridge the gap between tech and business, and shares thoughts on the future of AI agents and prompt engineering in transforming traditional work.Looking ahead, the conversation covers how AI tools are becoming more accessible and powerful, making it easier for anyone in an organization to experiment and innovate. The discussion highlights the need for clear strategies and training, ensuring that technology supports real business outcomes while preparing teams for a changing work environment.Key Moments: The Importance of AI LiteracySocial Blended Learning ExplainedEmpowering Teams with AI ToolsThe Rise of the Chief AI OfficerAI Leadership as a Transitional RoleUnlocking Potential with AI AgentsShifting from Software to ServiceOrchestrating AI Across DepartmentsHuman-Centered AI DesignKey Links:Andreas' WebsiteConnect with Andreas Welsch on LinkedInLinkedIn Learning Courses:Agentic AI: Challenges and Opportunities for LeadershipAI Agents: Preparing Your Organization for Change as a Business Leader

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• Transforming Data from 2D to 3D with Graphs and AI

  How can high-reliability organizations transform their data from flat, 2D spreadsheets into a dynamic, 3D world of interconnected insights? In the Season 4 premiere of the Talking AI podcast, host Matt Paige dives deep with Jon Brewton, Founder & CEO at data², and Daniel Bukowski, CTO at data², to explore how leveraging knowledge graphs and AI is revolutionizing data transparency and explainability.Jon and Daniel share their journey from traditional analytics to building a modular, cloud-agnostic, zero-trust AI platform that empowers industries such as defense, intelligence, energy, finance, and healthcare. They break down the core concepts of graph databases versus relational systems, discuss how graphs provide the connective tissue needed to support AI-driven decision making, and reveal how integrating LLMs with structured graph data can overcome challenges like hallucinations and unreliable outputs.Learn how data² is transforming complex data into contextualized, three-dimensional insights that not only answer hard questions but also elevate the work of analysts and decision-makers. Whether you’re curious about how to improve data reliability or interested in the future of AI-augmented workflows, this episode is packed with practical insights and forward-thinking strategies.Key Moments:The data² Journey: From Flat Data to GraphsDemystifying Knowledge Graphs & Their ValueGraphs vs. Relational Databases: What’s the Difference?Integrating LLMs with Graph Data for Better AccuracyTransforming 2D Data into 3D InsightsReal-World Use Cases in High-Reliability IndustriesEmpowering Teams with Transparent, Explainable AIThe Future of AI-Driven AnalyticsKey Links:Data²Connect with Jon Brewton on LinkedInConnect with Daniel Bukowski on LinkedIn

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• Get Ready to Talk Some AI! - Season 4 Trailer

  Don't want to get behind an AI? You're in luck! Season four of the Talking AI podcast is almost here, and we're gearing up to bring you even more in-depth conversations with the pioneers shaping our future. This season, prepare to dive into the minds of AI startup founders, enterprise AI leaders, and some of the top voices in the field.What to Expect:Expert Insights: Hear from the innovators and early adopters who are redefining what’s possible with AI.Bonus Episodes: Enjoy special bonus content featuring our CTO, Omar Shanti, who will deep dive into specific topics, tools, and approaches that are revolutionizing the industry.Diverse Perspectives: Whether you’re an AI aficionado or just starting to explore the landscape, our lineup of guests will offer valuable insights tailored to every level of interest.While you wait for season four to drop, be sure to subscribe on your favorite podcast platform so you never miss an episode. Seriously, go do it!Key Links:Talking AIGet ready to talk some AI—Season 4 is coming soon!

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• The Father of Data Contracts - AI’s New Best Friend

  How can organizations ensure that their data pipelines deliver consistent, trustworthy insights without frequent disruptions? In this episode of the Talking AI podcast, host Matt Paige co-host Omar Shanti, CTO of HatchWorks AI, speak with Andrew Jones, Principal Engineer at GoCardless, about the concept and practice of data contracts. Andrew explains what data contracts are, why they emerged, and how they improve data reliability and collaboration.The discussion explores how data contracts relate to data mesh and platform thinking, helping teams share responsibility for data while maintaining clear standards. Andrew and Omar share examples of data contracts addressing issues like schema changes, governance, and data quality.They also consider how data contracts support AI initiatives by ensuring that the data feeding into models is accurate and reliable. Practical steps are given, including starting with a clear problem and involving the right people.Andrew provides resources for deeper learning, including his book and online materials. Matt and Omar also mention an upcoming webinar on data contracts, inviting listeners to learn more and move toward more structured, dependable data practices.Key Moments:Introduction to data contracts and their purposeHighlighting the common reliability issues that data contracts can preventLinking data contracts to data mesh and other modern data architecturesExploring how data contracts help maintain governance and complianceDemonstrating how data contracts ensure quality for AI-driven applicationsDiscussing platform thinking and its role in scaling data contract implementationsOffering practical advice on how to begin using data contracts in your organizationKey Links:Connect with Andrew on LinkedInConnect with Omar on LinkedInMentioned in this episode:Gen AI Solution AcceleratorGot a Gen AI idea for your business but don't know where to start? Hatchworks Gen AI Accelerator turns your concepts into prototypes fast. From tech selection to fine-tuning, we guide you through every step, ensuring a low-risk path to innovation. See your idea come to life in just 2-8 weeks. Dive into Gen AI with confidence.

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• Real-Time AI and Multi-Agent Systems: Lessons from a Chief Architect at Visa

  How is the growing world of AI agents reshaping enterprise systems? In this episode of Talking AI, host Matt Paige is joined by Praveen Gunasekaran, Senior Director and Chief Architect at Visa, and Omar Shanti, CTO of HatchWorks, to explore the possibilities of agentic systems and their impact on software development.Together, they look at the power of agentic systems—technologies that can autonomously make decisions and execute changes in business processes without human intervention. This shift from deterministic to probabilistic systems opens up new opportunities for software developers to create more dynamic and responsive products.One of the key points in this episode is that agentic systems could help to democratize access to tech, enabling people with minimal coding experience to harness more advanced tools. But with that comes the question of governance. Omar talks about ensuring accountability and accuracy while preventing potential risks associated with AI agents. Curious about how AI agents are changing the landscape of automation and real-time systems? Tune in to discover the future of multi-agent systems, real-time processing, and AI-driven innovation with Praveen Gunasekaran and Omar Shanti!Key moments:How Praveen defines agentic systems and thinking How the agent model could lead to greater democratization of technologyWhy governance is essential for ensuring accuracy How measures like "AI judges" and breaking tasks into manageable parts could be the key How “an agent mesh” could become a new architecture for AI systemsAre APIs still the standard that the industry will follow?Praveen’s advice for making decisions on architecture and how agentic systems might change thatKey links: Connect with Praveen on LinkedInMentioned in this episode:Gen AI Solution AcceleratorGot a Gen AI idea for your business but don't know where to start? Hatchworks Gen AI Accelerator turns your concepts into prototypes fast. From tech selection to fine-tuning, we guide you through every step, ensuring a low-risk path to innovation. See your idea come to life in just 2-8 weeks. Dive into Gen AI with confidence.

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