are-your-machine-learning-models-wrong 
CIO
FEBRUARY 16, 2024
Sure, digital transformation is a buzzword that’s been bouncing around for a long time,” he says, “but digitizing your processes remains important because no modern business can afford to run an old, unpatched, and unsupported version of something. From the moment your data is put into a partner-managed environment, you lose control of it.
CIO
JANUARY 16, 2024
The struggle is augmenting your workforce or replace it altogether,” he says. Step one is likely a question of empowering the most capable people in your organization with highly tailored AI; the next step is removing the less capable altogether.” For now, most CIOs are deploying generative AI to enhance productivity and efficiency.
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CIO
MARCH 1, 2023
Gartner® predicts that, “By 2027, over 90% of new software applications that are developed in the business will contain ML models or services, as enterprises utilize the massive amounts of data available to the business. AI cannot work with the wrong data, at the wrong time, delivered by the wrong infrastructure.
CIO
SEPTEMBER 12, 2023
What could possibly go wrong? Here are N of the dark secrets of generative AI algorithms to keep in mind when planning how to incorporate the technology into your enterprise workflow. Here are N of the dark secrets of generative AI algorithms to keep in mind when planning how to incorporate the technology into your enterprise workflow.
CIO
MARCH 10, 2023
“So, we let them decide whether they want to respond to our consumer as Alex suggested, or they want to add some personal recommendation; if the answer suggested by Alex is wrong or doesn’t have an answer, they can flag it so Alex can learn it the following time.” Consumers are more and more specific about what they want.
CIO
JULY 14, 2023
Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.
CIO
JUNE 13, 2023
Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Waiting until it’s established may be safer but can put you behind your competitors. Only you know when that moment might be for your tech stack.
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