Systems | Development | Analytics | API | Testing

In this episode of The AI Forecast, host Paul Muller sits down with Vineet Jain, CEO and co-founder of Egnyte, for a conversation on one of the biggest enterprise challenges in AI: protecting corporate data while enabling innovation.

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Liam Hynes, Global Head of New Product Development at S&P Global Market Intelligence. They discuss how S&P Global Market Intelligence utilizes AI to analyze corporate earnings calls to guide and improve financial reporting. These insights help businesses enhance communication, refine executive performance, and predict market outcomes. The conversation also highlights the use of Snowflake Cortex AI platform and the importance of data-driven decision-making in the financial sector.

It's not that difficult to create a workflow in Easy Workflow. You can create a four-step workflow with the help of this quick start training video, which includes entering the data in Excel, testing the data, manager approval and uploading to SAP.

Knowing exactly where your data comes from is critical. With the Lineage view in Qlik Cloud Analytics, you get a clear, visual map of your data flow—making it easy to trace dependencies, troubleshoot issues, and update the right apps with confidence. A must-have for any serious Qlik developer or data team.

AI agents are quickly becoming one of the most powerful tools in the enterprise AI toolkit. According to Cloudera’s latest Agentic AI Survey, 96% of enterprises plan to expand their use of AI agents. But what’s driving this surge, and how can organizations turn hype into results? In this episode of The AI Forecast, host Paul Muller sits down with Abhas Ricky, Chief Strategy Officer at Cloudera, to explore the real momentum behind agentic AI. From healthcare to telecom, Abhas unpacks how AI agents are already transforming operations with speed, intelligence, and autonomy.