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The Daylight Principle in Agentic AI
The Daylight Principle in Agentic AI. What Is It and Why is it Critical? AI’s Context Challenge. In the previous post in our Augmented, Not Artificial series, we argued that the shift from rigid SaaS to adaptive, intelligent platforms represents the most consequential evolution in enterprise software since the cloud. But recognizing that shift is the easy part. Realizing its benefits is harder.

The prettifying and securing of downtown San Francisco, where super{set} is headquartered, should be the norm - not just for special state visits from the world's dictators. Here are 3 things the city of San Francisco should be doing all year round to make the city better to live, work, and invest in. Read Tom Chavez' latest in Forbes.
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Pankaj Rajan, co-founder of MarkovML, joins super{set} Chief Commercial Officer Jon Suarez-Davis (jsd) to discuss the role of data in gaining a competitive advantage in the AI revolution. Learn the difference between optimizing models and optimizing data in machine learning applications, and why effective collaboration will make or break the next-gen AI applications being created in businesses.

Running cloud platforms efficiently while keeping them secure can be challenging. In this blog post, learn how two of super{set}’s portfolio companies, MarkovML and Kapstan, are leveraging tools like KEDA for event-driven scale and Boundary for access management to remove friction for developers. Get insights into real-world use cases about optimizing resource usage and security without compromising productivity.
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