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Ep 22 | Lessons in Tech and the Two-Way Street of Mentorship with AWS's Melissa Dougherty

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.

Data-driven admissions: Optimizing enrollment with automation

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.

How to Achieve Secure, Scalable Multi-tenancy for GPU Infrastructure

By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we laid the foundations for understanding multi-tenancy in GPU-access infrastructure and highlighted its critical importance. In this post, we’ll dive into ClearML’s approach to achieving secure and efficient multi-tenancy. At a high level, multi-tenancy refers to the ability to share a single resource pool, typically GPU or CPU clusters, across multiple, logically isolated entities known as tenants.

Do Data Differently

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.

AI Agent vs. AI Assistant: Understanding The Differences

Thanks to artificial intelligence’s increasing influence in everyday life, many previously uncommon terms have become part of the zeitgeist, much like AI itself. Chances are, you’ve already come across the terms ‘AI agent’ and ‘AI assistant’. You might even have seen them being used interchangeably. While the two terms sound similar, what each of them represents is very different.

The AI-Driven Enterprise Advantage with Teresa Tung, Global Data Capabilities Lead at Accenture

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.