Episode Summary
In this episode, we explore four groundbreaking developments shaping the global AI landscape.Microsoft and Arizona State University unveil the “Magentic Marketplace”, exposing how AI agents can be manipulated and challenged in collaboration. Tencent and Tsinghua University introduce CALM, a revolutionary architecture that cuts AI training and inference costs by up to 44%. Customer engagement leader MoEngage raises $100 million to accelerate global growth and strengthen its AI-d...
Episode Summary
In this episode, we explore four groundbreaking developments shaping the global AI landscape.
Microsoft and Arizona State University unveil the “Magentic Marketplace”, exposing how AI agents can be manipulated and challenged in collaboration. Tencent and Tsinghua University introduce CALM, a revolutionary architecture that cuts AI training and inference costs by up to 44%. Customer engagement leader MoEngage raises $100 million to accelerate global growth and strengthen its AI-driven marketing platform. And finally, BBVA’s data head, Antonio Bravo, reveals how the bank is redefining financial services through large-scale AI adoption, leadership, and cultural transformation.
Together, these stories paint a vivid picture of how AI is reshaping trust, efficiency, innovation, and enterprise transformation.
💡 What You’ll Learn in This Episode
- How Microsoft’s new AI simulation reveals vulnerabilities and collaboration limits among agentic models.
- Why Tencent and Tsinghua’s CALM architecture could dramatically reduce enterprise AI costs.
- How MoEngage plans to expand globally and become IPO-ready through AI innovation.
- How BBVA is empowering employees and transforming banking through responsible AI adoption.
- Why leadership, adaptability, and cross-functional collaboration are essential to successful AI transformation.
🔑 Key Quotes from the Episode
“Understanding how AI agents negotiate, collaborate, and even deceive will be crucial to building a safe, agentic future.” — Ece Kamar, Microsoft Research
“CALM marks a new design axis for AI — moving from bigger models to smarter, more efficient architectures.” — Tencent AI Research Team
“This funding validates our fundamentals. We’re building a global, AI-driven engagement platform that scales intelligently.” — Raviteja Dodda, CEO, MoEngage
“AI’s success goes far beyond technology and data teams. It requires leadership, learning, and an openness to evolve.” — Antonio Bravo, BBVA
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Connect with Us:
- Host: Manish Balakrishnan
- Subscribe: Follow AI News on your favorite podcast platform.
- Share Your Thoughts: Email us at support@podcastinc.io
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