IBM watsonx Assistant for Z: Applying AI Where the Need Is Greatest

One of the troubling uses of a new technology like AI is the feeding frenzy of trying to apply it to every problem without any significant effort to inform the order in which AI is implemented by company need. This […]

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NVIDIA/Databricks Partnership Advances AI Competency

Everyone is currently learning how to train and deploy AI. Companies like NVIDIA provide the core technology as well as some direction given its multi-decade-long path to achieving AI dominance. But its strongest competency is in collaborating with companies like […]

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IBM Think 2024: Could AI Help Figure Out What Customers Will Want?

Every industry has the same problem: figuring out what customers will want in a three-, five-, or 10-year timeframe. The reason we need to know what customers will want is that it takes from three to 10 years to create […]

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Why the Microsoft Copilot Launch Is Going Poorly

The launch of Microsoft Copilot is struggling. The people there who know what they are doing are being eclipsed by two things. Too often, they aren’t the ones making critical decisions, and second, someone in the decision tree is starving […]

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Recall Is the Killer Feature in Microsoft Copilot+

Microsoft Build this year was all about Copilot, which will span Microsoft’s offerings. While any current computer can run Copilot, only special AI PCs run Copilot+. Copilot+ gets you to a whole different level of AI experiences that require the […]

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AMD at 55: Still Going Strong with a Unique Advantage for the Coming AI Wave

AMD hit 55 this week, and it has been an amazing ride. AMD started out as the redundant supplier to Intel with x86 because IBM, like most companies at the time, didn’t want to be the sole source of a […]

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