AI in Capital Markets Shifts from Experimentation to Execution

How do enterprise-grade AI agents get built and deployed? Grateful for the chance to join this episode of Scale AI's Human in the Loop podcast to discuss Scale's work with the Howard Hughes Corporation - the data layer, business challenges, other considerations when addressing real-world enterprise problems.

We’re excited to introduce Millennium’s AI lab. Building on years of investment in advanced AI solutions, the AI lab is a dedicated environment within Millennium designed to test, build and accelerate early-stage products that have the potential to provide value to our teams, and to deepen our collaboration with leading AI companies on solutions that drive our business forward. Learn more about what we’re building: https://lnkd.in/eVNgX2Wt

The industry has moved from hiring pure Quant Researchers with heavy math/stat backgrounds to prioritizing builders—AI engineers and applied AI architects who can translate models into production systems.

Nest.ADM is Spanning the complete workflow from initial creation to final release, it stablishes a highly secure, centralized repository built on document control best practices.  Furthermore, the platform integrates advanced Generative AI capabilities

Business Engineering share takeaways from the AI+IM Global Summit in Baltimore, where they benchmarked the company's AI and information management capabilities against global leaders in the field. The headline finding: Business Engineering and Collaborator Software are on the right track. Sitting alongside the world's leading AI specialists confirmed that the conversations we are having with our South African clients about data quality, governance and AI readiness are exactly the right ones. Watch Now: https://lnkd.in/eGBWHeVk

Observer has named Michael Dell to its 2026 AI Power Index, recognizing leaders helping shape the future of AI. The recognition highlights the growing importance of AI infrastructure, data platforms and the systems organizations need to move from experimentation to deployment at scale. As organizations build AI factories and modernize infrastructure for the AI era, we're focused on helping customers turn AI ambition into outcomes. See the full AI Power Index recognition: https://del.ly/6044BEbhy8

It's encouraging to see continued investment in the infrastructure that will underpin the next generation of AI. As highlighted by Dell Technologies, organisations are moving beyond AI experimentation and focusing on how to deploy it securely, responsibly and at scale. For schools and Trusts, the conversation isn't just about adopting AI. It's about ensuring the right infrastructure, governance and security are in place to support meaningful outcomes for educators and learners. Turning AI ambition into real-world impact requires more than powerful technology, it requires the right strategy, partnerships and long-term vision. Thanks to Dell Technologies for sharing these insights. #ArtificialIntelligence #EducationTechnology #DigitalTransformation #EdTech #Infrastructure

This week, two of our leaders are joining CIO Dive to talk about one of the hardest questions in AI right now: how do you prove it's actually changing how work gets done. Javier Aldrete, our Chief Product Officer, and Gabriela Mauch, our Chief Customer Officer and Head of the Productivity Lab, will be on Wednesday, June 24 at 2 p.m. ET. They'll cover: - How to move from AI activity to AI accountability - How to spot stalled adoption before it becomes a budget problem - How to connect AI activity to productivity, capacity and cost outcomes Shadow AI risk and building the case for future AI investment are on the agenda, too. Register here: https://lnkd.in/g5muUX9e

Platform Engineering 2.0: The Evolution of the AI Era | Pete Flecha is joined by Jad Zien and Pankaj Gupta, co-author of the new Platform Engineering 2.0 whitepaper, to explore how platform engineering is evolving to meet the demands of the AI era. https://bit.ly/4v5cOXg

Most AI conversations focus on models. Mark Menger says the real challenge is everything in between. As AI moves into production, organizations need engineering discipline across the entire data path—from enterprise data stores and object storage to the AI factory itself. Watch Mark's take from F5's recent AI Summit, and learn why the data path is becoming a critical part of enterprise AI strategy. 👇 🔗 Register to watch on demand: http://ms.spr.ly/6041vQQnN