Category: Amazon SageMaker

Never waste your time; it is too precious. There are never any guarantees we will have tomorrow. —Catherine Pulsifer, Author “I don’t have enough (fill in the blank)” is a common refrain in the face of new demands. It’s normally followed by that much-loved phrase “We need to prioritise.” I’ve observed that the challenge is […]

It won’t surprise you to hear that there’s been lots of excitement and speculation about generative AI in our meetings with AWS customer executives lately. The question on their minds is: “What does this mean for my business?” That’s a good way to frame the question; it’s not about what generative AI can do, but […]

Machine Learning (ML) is such a powerful new set of technologies, opening up so many business possibilities, that it’s sometimes difficult to imagine how best to put it to use. The possibilities are overwhelming, and there is little history to build on. In this post Baran Karlidag ties ML to the specific challenges that financial […]