Remove Data Processing Remove Digital Transformation Remove Optimization Remove Unstructured Data
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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business. The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It was hosted by Ashleigh Faith, Founder at IsA DataThing, and featured James Buonocore, Business Consultant at EPAM, Lance Paine, and Gregory De Backer CEO at Cognizone. Krasimira touched upon the ways knowledge graphs can harness unstructured data and enhance it with semantic metadata.

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Accelerating sustainable modernization with Green IT Analyzer on AWS

IBM Big Data Hub

As companies fast-track their IT modernization to accelerate digital transformation and gain business advantage, a significant opportunity emerges. It helps identify energy or carbon hotspots to develop an optimization roadmap.

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How generative AI impacts your digital transformation priorities

CIO Business Intelligence

Digital transformation must be a core organizational competency. The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. That’s my key advice to CIOs and IT leaders.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.