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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, ...
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 ...
AI does not typically fail because it lacks intelligence. It fails because many enterprises have an architecture that is ...
What if your operating system wasn’t just a tool, but a truly intuitive partner in your daily life? Imagine an AI so seamless it could manage tasks across devices—even when you’re offline—without the ...
Autonomous software is forcing cloud teams to confront weaknesses in networking, identity, cost, and architecture.
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