Systems | Development | Analytics | API | Testing

Snowflake Summit 2025 marked a major shift in the modern data stack bringing AI closer to your data, simplifying operations, and making every layer more connected. From Cortex AI SQL and Native Agents to Adaptive Compute and enhanced governance with Horizon Catalog, Snowflake is evolving from a warehouse into the execution engine for intelligent apps.

Elena Cuevas of Confluent shares that partnerships thrive when it’s not “you or me”, but what you can do together.

Strategic partnerships don’t work without trust. And in the data streaming world, trust begins with transparency. In this episode, Elena Cuevas, Sr. Manager of Cloud Partner Solutions Engineering at Confluent, joins Joseph Morais to unpack what it takes to collaborate with hyperscalers like AWS, Google Cloud, and Microsoft Azure. From managing competitive overlaps to future-proofing enterprise data architectures, Elena shares her battle-tested strategies for driving alignment across complex stakeholder ecosystems.

In the past, mainframe users have been limited to expensive legacy tools, but today, it's possible to embrace agility, and security with integrating open source tools into the mainframe.Watch this how to video to see how mainframe users can also get on board to achieve superior test coverage, by testing more often, and throughout the whole development cycle.

Wondering if your company's AI budget is normal? New research shows you're not overspending—everyone is doubling down on AI. Key stats.

Step inside the world of data innovation as Cindi Howson talks with Don Vu, SVP and Chief Data and Analytics Officer at New York Life. They'll reveal how a 180-year-old institution is leveraging cutting-edge AI to make experiences proactive and intelligent. Hear how New York Life utilizes their innovative "GuideMe" tool to supercharge agent and client financial planning, tackles the "last mile problem" in data operationalization, and ensures data quality is paramount for both structured and unstructured data.

In this episode, Fivetran speaks with Tim Veil, Principal at Two Bear Capital, to unpack the challenges businesses face in operationalizing AI — and why data strategy, not just data volume, is the key to unlocking real business value.

In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.

In this episode of the Innovation Blueprint Podcast, we talk with Jonathan Iger, CEO of Sage Realty Corporation, a design-driven, vertically integrated real estate investment and management company. This episode examines the modernization of commercial real estate through branded office experiences, innovative property management, and the strategic application of technology and AI.

AI is evolving fast. But if we want it to truly solve real-world problems, we need to stop thinking of it as a single brain and start building it like a team. That’s where Multi-Agent Systems come in. Instead of relying on one large model to do everything, we’re now designing AI agents with specialized roles that collaborate, delegate, and execute tasks together, just like high-performing human teams.