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3 key digital transformation priorities for 2024

CIO Business Intelligence

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

In 2024, sustainability is taking center stage. Advanced technologies, more stringent reporting standards and stronger support from stakeholders are building momentum for eco-friendly initiatives and the incentives that encourage them. Businesses, governments and individuals now see sustainability as a global imperative.

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King County enlists AI to reduce drug overdose deaths

CIO Business Intelligence

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. Seattle, the county seat, reported nearly 600 drug overdose deaths in 2022, an increase of 72% from the previous year.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO Business Intelligence

Our recent data analysis of AI/ML trends and usage confirms this: enterprises across industries have substantially increased their use of generative AI, across many kinds of AI tools. What can enterprises learn from these trends, and what future enterprise developments can we expect around generative AI?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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IT leaders explore footing amid shifting needs and the AI power struggle

CIO Business Intelligence

In hybrid and multicloud environments, the challenges were around cost surprises and excessive data flows between cloud and on-premises, or among different cloud environments. “IT The challenge for CIOs now is to create a data-driven culture and get business partners to chime in with high value data business cases.”

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