Systems | Development | Analytics | API | Testing

Top Data and AI Opportunities | A Conversation With Snowflake CIO Mike Blandina

Snowflake CIO Mike Blandina talks with "Data Cloud Now" Anchor Ryan Green about issues that are top of mind for CIO's across all industries as they move their organizations through digital transformation journeys and evaluate the potential of GenAI. They discuss the challenge of separating hype from reality, the potential of AI agents, and the strategies company executives can employ to measure impact and ROI.

The Cure for Complexity: How Consolidation is Reshaping the Data Landscape

We’re at a pivotal moment in the data integration market. For years, the rallying cry for data professionals was to adopt the "modern data stack" (MDS), with the promise of a "best-of-breed" approach. This vision led many organizations to assemble a collection of specialized, single-purpose tools—one for ingestion, another for transformation, a third for quality, and so on—to create a highly effective data environment. However, reality has proven far more complex.

Finding the Ghost in the Machine

The industry is rapidly moving towards deeper AI integration than ever before. What was once simply focused on chatbots or recommendation engines has pivoted significantly to AI systems communicating with other AI systems. These AI tools are leveraging multi-agent workflows to accomplish complex tasks that traditional systems have struggled with. Innovation without validation is a liability. Any developer worth their salt will know that these systems require ample testability and validation.

Hevo Demo Days: Modern Pipelines for E-commerce Companies

E-commerce companies don’t just need data pipelines; they need pipelines that can keep up with ever-changing customer behaviour, seasonal spikes, and omni-channel complexity. The ability to build a real-time Customer 360 isn’t a nice-to-have; it’s what drives personalization, revenue optimization, and retention. But getting there is hard. Broken pipelines, schema drift, opaque costs, and inflexible tools create friction for engineers, slow insights for analysts, and limit the strategic agility leaders expect.

Leading with Data: AI-Driven Strategies for Tomorrow

In this interview with Nick Johnson-Hill, VP Data Group for Crum and Foster, we dive into what it takes to lead a modern team of data professionals and leverage modern data strategies for creating maximum impact. Nick also discusses the role and effectiveness of leveraging Generative AI for augmenting data teams.

Ep 39 | Enabling the Future of AI with Donna Beasley

AI can’t transform businesses if organizations aren’t prepared to embrace it. Donna Beasley, Chief AI Enablement Officer, joins The AI Forecast to explore thoughtful AI deployment in an organization. She and host Paul Muller dive into the challenges and opportunities of AI adoption, from ensuring data quality to driving organizational change management. They discuss the importance of collaboration across departments, strategies for overcoming resistance, and the critical role of training and meeting individuals where they are in their openness with AI.

Unlocking the Autonomous Enterprise, with ThoughtSpot CEO

The next generation of analytics is here. In this episode of The Data Chief, ThoughtSpot CEO Ketan Karkhanis explains why AI is the new BI, and the future of analytics is autonomous. Karkhanis shares his vision for the autonomous enterprise, where AI agents act on insights and automate workflows. He also explains why a culture of trust and experimentation is crucial for unlocking AI's full potential. Don't miss this discussion on how to fundamentally rethink how organizations interact with data to drive better business outcomes and build an autonomous enterprise.

Future-proof test automation with Tricentis Tosca and MCP Server

The future of testing is AI-driven, business-oriented, and no-code. Exclusively available for Tosca in the cloud, Tosca’s Model Context Protocol (MCP) Server is a game-changer. It provides a consistent, standardized, and open framework that connects your AI models to Tosca — no need for custom and inflexible API integration. Whether generative, agentic, or any future AI innovation, MCP bridges the gap between AI and QA tools, enabling seamless integration and smarter, faster testing.