Remove 2024 Remove Experimentation Remove Measurement Remove Risk
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How to become an AI+ enterprise

IBM Big Data Hub

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. Otherwise, the risks become too significant.

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Healthcare: Why Integrated Care Systems Need to Focus on AI and not BI

DataRobot Blog

As ICSs develop plans to deliver around 30% more elective activity by 2024-2025 than before the pandemic, the need to retain clinical staff is paramount. Responding to COVID-19 as it mutates and continues to impact society. Resetting urgent care performance and delivery. Improving patient outcomes through a data-first approach.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. 46% of survey respondents in 2024 showed a preference for open source models.

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Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI

Ontotext

So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. How do I make sure I can manage risk?”