Remove 2023 Remove Experimentation Remove Modeling Remove Risk Management
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3 key digital transformation priorities for 2024

CIO Business Intelligence

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

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Five open-source AI tools to know

IBM Big Data Hub

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode. How has, say, ChatGPT hit your business model?”

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8 pressing needs for CIOs in 2024

CIO Business Intelligence

Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Information security and risk management are always top priorities for Fleetcor Technologies’ CIO Scott DuFour as well, and 2024 will be no different.

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6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

Some of the most vocal complaints about generative AI have come from authors and artists unhappy at having their work used to train large language models (LLMs) without permission. But these Guardian polls appear to have been published on Microsoft properties with millions of visitors by automated systems with no human approval required.

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Make Better Data-Driven Decisions with DataRobot AI Platform Single-Tenant SaaS on Microsoft Azure

DataRobot Blog

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.