As IT budgets shift toward services and software, now is the time for high tech companies to adopt a sharply focused, customer-centric strategy to remain competitive. Read More
The explosion of data center demand for AI use is draining water resources. Even with efforts to mitigate cooling demands, municipalities and companies struggle to find a balance. Read More
AI is a “work in progress” where risk management should accompany development and deployment. It's critical to identify insert risk in these processes. Read More
The future of programming will require adaptable, big-picture thinkers who can guide AI tools, understand nuanced problems, and create meaningful solutions -- traits often found in those with humanities backgrounds. Read More
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