
AI Embiggens The Big Clouds, Especially Microsoft
Building a successful cloud and growing it quarter after quarter, year after year, with first mover status or without it, is not an easy task. …
Building a successful cloud and growing it quarter after quarter, year after year, with first mover status or without it, is not an easy task. …
A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running new data through a model to cause an application to act or react – was easy. …
AI agents bring with them the promise of being able to autonomously solve complex tasks put before them, from finding and analyzing the necessary data, choosing tools, and making decisions without human intervention to learning from their mistakes and adapting to changes. …
Perhaps the most interesting conversation that has happened so far in the White House in 2025, at least from the point of view of the IT sector, is when Nvidia co-founder and chief executive officer, Jensen Huang, put on his Sunday best suit and visited President Donald Trump to presumably talk about technology, AI, trade, and war on July 10. …
Every major economy that is not the United States or China, which has a disproportionate share of HPC national labs as well as hyperscaler and cloud builder tech titans, wants AI sovereignty a whole lot more than they ever worried about HPC simulation and modeling. …
One of the biggest questions that enterprises, governments, academic institutions, and HPC centers the world over are going to have to answer very soon – if they have not made the decision already – is if they are going to train their own AI models and the inference software stacks that make them useful or just buy them from third parties and get to work integrating AI with their applications a lot faster. …
AI has the power to transform how organizations derive insights, make decisions, and unlock value, but all that depends on the quality of the data. …
The biggest challenge to AI initiatives is the data they rely on. …
As we have said many times here at The Next Platform, the only way to predict the actual future is to live it. …
Given two endpoints and a compound annual growth rate between those two points over a specific amount of time is not as useful as it seems. …
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