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Colorado AI legislation further complicates compliance equation

CIO Business Intelligence

The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. Instead, any means of artificial intelligence, including using an optical character reader (OCR) to scan resumes, is covered.

Risk 85
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IBM’s watsonx.governance takes aim at AI auditing

CIO Business Intelligence

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. What is watsonx.governance and how does it work? Why is AI auditing so important?

Risk 84
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. I was able to see a lot, learn a lot, be impressed a lot, and ponder a lot about all of the wonderful features, functionalities, and future plans for the Splunk platform. is here, now! is here, now!

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 116
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The case for predictive AI

CIO Business Intelligence

What’s the difference? Yes, GenAI and Predictive AI are both forms of artificial intelligence, but they have fundamental key differences that businesses must consider. It leverages techniques to learn patterns and distributions from existing data and generate new samples. AI is taking the world by storm.

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Discovery : A key requirement for enabling AIOps

CIO Business Intelligence

To achieve these goals, CIOs are turning to AIOps, a method that uses artificial intelligence (AI) to reduce noise, accurately identify potential issues and their causes, and even automate a significant portion of resolution tasks. The stack has become an intricate web of interdependencies, not all of which are well understood.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

Crunching mathematical calculations, the model then makes predictions based on what it has learned during training. As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability.