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5 things to know: IBM Cloud’s mission to accelerate innovation for clients

IBM Big Data Hub

Designed to enable enterprises to deploy their mission-critical workloads in a secured environment, clients leveraging the MZR can take advantage of IBM’s innovative hybrid cloud and AI solutions while addressing their evolving regulatory requirements and data sovereignty.

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How AI is helping companies meet sustainability goals

IBM Big Data Hub

Image and video recognition systems can use AI to monitor each stage of manufacture , catching any discrepancies as early as possible. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

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The Third Modern Data Management Summit: Making Data Work!

Reltio

Speakers represented life sciences, healthcare, manufacturing, retail, consumer goods, financial services, consulting services, and hi-tech. This year the event offered three tracks – Modern Data Management, Personalize Customer 360 , and Healthcare & Life Sciences. This year’s theme was “ Organize Master Data.

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Unlocking value: Top digital transformation trends

IBM Big Data Hub

They diverted money and resources to establish powerful tele-health services like video conferencing and enhance patient access to health records. But doing so required a significant investment in data protection and cybersecurity enhancements as a data breach containing sensitive medical information could be catastrophic.

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Summary – “Industry in One: Financial Services”

ARMA International

The scope of a records and information management (RIM) program in financial services can seem overwhelming. Compared to other industries, the complexities of managing records and information in financial services are arguably some of the toughest to solve, primarily because of the intense regulatory scrutiny.

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The most valuable AI use cases for business

IBM Big Data Hub

Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs. Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Other potential areas : Video generation (36%) and 3D model generation (26%) can create marketing materials, virtual renderings and product mockups. Financial services AGI might revolutionize financial analysis by going beyond traditional methods. The skills gap in gen AI development is a significant hurdle.