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Architecting data and AI systems that remain explainable, governable, and trusted at scale
In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...
In most software interviews a decade ago, success hinged on how quickly a candidate could write code on a whiteboard. Today, ...
As generative AI accelerates across enterprises, the challenge has shifted from experimentation to execution. Many organizations can demo large language models, ...
The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...
When I first started experimenting with voice AI agents for real-world tasks like restaurant reservations and customer service calls, I quickly ran into a fundamental problem. My initial monolithic ...
Can we trust the algorithms at the core of artificial intelligence’s ability to learn and solve problems? It’s a question that is becoming pertinent as businesses increasingly rely on artificial ...
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