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  • The Time Is Now To Get A GenAI Strategy

    March 18, 2024 Timothy Prickett Morgan

    I was born a little less than a year after IBM launched its venerable System/360 mainframe platform, arguably the first information technology platform ever created and sold at scale. I graduated from college six months after the AS/400 was launched and was the founding editor of this newsletter you are now reading a little more than a year after Silverlake came to market and showed what a real platform could look like.

    I was present during the Unix revolution, the client/server revolution, the commercial Internet revolution, and the big data revolutions, and I was absolutely at the forefront of commercial …

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  • Big Blue’s New “WebSpheres” To Surf The Container And AI Waves

    July 24, 2023 Timothy Prickett Morgan

    Without question, there is a lot of money that can be made on AI training and inference, as is aptly shown by the financial results of Nvidia. That company, which is the darling of Wall Street these days, has gone from datacenter wannabe to datacenter giant in the course of a decade and a half. It has been fascinating to watch, but it is as much the result of lucky timing as hard work, as Jensen Huang, the company’s co-founder and chief executive officer, admitted from the beginning.

    Nvidia has been working on parallel computing architectures for accelerating HPC workloads …

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  • A Million Miles Away From Machine Learning

    May 24, 2021 Timothy Prickett Morgan

    The spring COMMON NAViGATE conference has not yet started, the IBM Think 2021 conference has just ended and so has Google I/O 2021, and only a month ago we participated in Nvidia’s GPU Technical Conference 2021. A whole lotta things are rattling around in our brains, and we are still thinking about some of the things people have been saying about artificial intelligence, the instantiation of which based on machine learning techniques seems to work quite well but no one really knows, in the same way a COBOL or RPG program is absolutely deterministic, why it works.

    This is …

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  • IBM i Roadmap Promises A Long Ride, Few Bumps

    June 10, 2019 Timothy Prickett Morgan

    It would be hard to find a group of enterprise IT shops that are more conservative – meaning averse to risk – than the IBM midrange. Arguably, IBM System z mainframe shops are even more risk averse, but perhaps it is a matter more of scale than degree. In the average IBM i shop, one person – or maybe a handful of people – is keeping risk at bay, while in a mainframe shop there could be dozens or hundreds that are trying to steer the ship without rocking the boat.

    Every now and then, Big Blue publishes an IBM …

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