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For those who have done the real work of data modernization and preparation, AI is worth its high price tag.
Despite AI's explosive growth, the industry still needs to face facts that customers are unhappy about costs and vendor lock-in.
At Build, Microsoft described how Azure is supporting large AI workloads today, with an inference accelerator, high-bandwidth connections, and tools for efficiency and reliability.
Considering how much we depend on open source, we should worry about the financial health of our most critical projects.
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
Overspending on AI infrastructure by cloud providers has some forecasting an AI bust, but there are signs that enterprises are starting to put AI to work.
It's old news that no one in IT can find enough talent to build and run modern IT solutions. AI won’t save you, so start looking at other options.
The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
Leaving the cloud is not a matter of choosing between two clear-cut options. Few enterprises go completely data center or completely cloud.
Humans, with our biases, fears, and comfortable habits, always put the brakes on revolutionary technology.