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Ethics of generative AI: To be innovative, you must first be trustworthy

CIO

Over the past year, generative AI – artificial intelligence that creates text, audio, and images – has moved from the “interesting concept” stage to the deployment stage for retail, healthcare, finance, and other industries. On today’s most significant ethical challenges with generative AI deployments….

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AWS invests $100 million in new Generative AI Innovation Center

CIO

Amazon Web Services (AWS) on Thursday said that it was investing $100 million to start a new program, dubbed the Generative AI Innovation Center, in an effort to help enterprises accelerate the development of generative AI- based applications. Artificial Intelligence, Enterprise Applications, Generative AI

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Generative AI is pushing unstructured data to center stage

CIO

Advances in AI, particularly generative AI, have made deriving value from unstructured data easier. Yet IDC says that “master data and transactional data remain the highest percentages of data types processed for AI/ML solutions across geographies.” What’s different now? What’s hiding in your unstructured data?

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning - AI

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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The July 2023 Multi-Cloud Briefing: Generative AI for the Enterprise

CIO

Watch our newest Multi-Cloud Briefing, The Frontiers of Generative AI for the Enterprise , which explores how the convergence of generative AI and multi-cloud technologies is driving the next wave of business innovation. The most profound impact of generative AI will be in the enterprise.

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Generative AI in Healthcare

John Snow Labs

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. However as AI technology progressed its potential within the field also grew.

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AI Healthcare Use Cases

Perficient

Are you a Healthcare Business Leader stressing over how much you should use AI? You want to increase engagement and access to high quality care and drive down healthcare costs, right? Although AI isn’t a magic wand, we can finally start to think bigger and shorten our roadmaps. You’re a provider organization.