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Top financial services trends of 2024

IBM Big Data Hub

The start of 2024 brings forth many questions as to what we can expect in the year ahead, especially in the financial services industry, where technological advances have skyrocketed and added complexities to an already turbulent landscape. An investment in the tools and infrastructure to combat such threats is likely to occur in 2024.

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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. Consider the following: Do you need a public foundation model? times higher ROI.

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The top ESG trends in 2024

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important as it relates to a company’s business model, risk management strategy , reporting requirements and more. Sustainable Future News, Burkinshaw, January 2, 2024 2.

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Preparing for the EU AI Act: Getting governance right

IBM Big Data Hub

The European Parliament reached a provisional agreement on the EU AI Act in December 2023, it is now making its way through the final phases of the legislative process and is expected to rollout in stages in the second half of 2024. Higher risk tiers have more transparency requirements including model evaluation, documentation and reporting.

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SEC climate-related disclosure rules for public companies

IBM Big Data Hub

On March 6, 2024, the US Securities and Exchange Commission (SEC) adopted rules to enhance and standardize climate-related disclosures by public companies and in public offerings. The post SEC climate-related disclosure rules for public companies appeared first on IBM Blog.

Risk 57
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Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers

IBM Big Data Hub

Keep an eye on harms we’ve encountered over several years through traditional machine learning modeling, and also on new and amplified harms we’re seeing through pre-trained foundation models. Choose smaller models whose cost and behavior may be governed. “Create trustworthy AI development.”

Risk 85
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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Earning trust in the outputs of AI models is a sociotechnical challenge that requires a sociotechnical solution. There must be a concerted effort to make these principles a reality through consideration of the functional and non-functional requirements in the models and the governance systems around those models.

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