Remove 2024 Remove Experimentation Remove Risk Remove Strategy
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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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8 pressing needs for CIOs in 2024

CIO Business Intelligence

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024. Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Representatives from Goldman Sachs, JP Morgan Chase, and Morgan Stanley did not immediately respond to requests for comment on their companies’ plans to implement AI or its potential to change their hiring strategies.

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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. times higher ROI.

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King County enlists AI to reduce drug overdose deaths

CIO Business Intelligence

Like many public health agencies across the US, the King County Medical Examiner’s Office tracks drug overdose deaths to target interventions for populations at risk and save lives. And then what’s really cool is adding on this more experimental aspect with the machine learning capability.”

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

According to Forrester’s 2024 predictions, 60% of skeptics will overcome their gen AI doubts by the end of the year and appreciate it for its uses in conversational assistants, and its ability to translate and synthesize content. Employees are even calling it a trusted colleague. Such new phenomena aren’t always easy to understand and govern.

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Quantum Computing with @hellodavidryan: TDI 24

Data Science 101

This problem can be witnessed in the business strategies of QC companies. Others like Rigetti and IonQ went public early (the former risking delisting and the latter a huge SPAC). That’s going to use the various existing computing technology in and around the experimentation of this new capability. That’s a risk.

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