Systems | Development | Analytics | API | Testing

As part of our Women Leaders in Technology (WLIT) series on The AI Forecast, we’re joined by Melissa Dougherty, Global Managing Director of Partner Sales, Financial Services. Each quarter, we’ll take a break from the regularly scheduled AI programming on The AI Forecast to direct our attention to this important topic in tech.

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Teresa Tung, Global Data Capabilities Lead at Accenture. They discuss how enterprises can accelerate and broaden the application of data to attain more business value through agentic AI, the pivotal role of proprietary data as a competitive advantage, and the need for data practitioners to adapt to new responsibilities involving data quality and AI agent interaction.

To do data differently means no tradeoffs. You stop choosing between speed and trust. Between flexibility and control. Between the platform your team wants, and the one your business actually needs. It means putting your data to work - in real time. It means scaling AI with trusted data. And it means freeing yourself from vendor lock-in and runaway costs, so you can focus on outcomes, not infrastructure.

What is Agentic AI? How is it being utilized? What use cases can we anticipate for the future? Hear from Shayde Christian, Chief Data and Analytics Officer at Cloudera, on three major trends emerging in Enterprise AI.

Analyst Studio is the creator space that provides power tools for analysts and data teams to help them get their data ready for AI, and do their advanced analysis - all within an agentic analytics platform.

Want to automate your Qlik Cloud with ease? In this quick walkthrough, I show how to create a dependent task chain using scheduled scripts, data flows, and apps—all triggered in sequence only when the previous step succeeds. Whether you’re pulling data, transforming it, or feeding dashboards, this approach keeps your process, reliable, and hands-free. Schedule tasks based on time or events Chain them together based on success/failure.

Navigating the evolving landscape of data engineering in the age of AI? Join us as we delve into a crucial conversation with @JoeReisData renowned author of "Fundamentals of Data Engineering" and the highly anticipated "Mixed Model Arts." Joe shares his expert insights on why robust data modeling remains paramount, the urgent need for data teams to upskill in this new era, and the transformative potential of a universal semantic layer.