Ready to Build Production-Grade AI Agents? Astera AI Agent Builder makes it easy for teams to design, test and launch autonomous AI agents. It connects directly to enterprise data and systems through a visual, drag-and-drop interface.

Universities must integrate scalable, automated data solutions to centralize information, reduce inefficiencies, and enhance decision-making, ensuring a seamless, student-centric experience. To discuss how to do just that, Ilia Xheblati, Director of Analytics Engineering at Northeastern University, joined us to get to the heart of embracing scalable, automated data solutions so universities can eliminate inefficiencies, streamline decision-making, and create a more connected, student-centric experience.

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.