Remove Analytics Remove Data Engineering Remove Generative AI Remove Scalability
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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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Generative AI will be the key to achieving patient-centric care

CIO

The adoption of generative AI in the U.S. You have to balance the potential benefits of generative AI with significant, important operational issues, such as ensuring patient data privacy and complying with regulatory requirements. And yet, generative AI is a transformative technology—one that cannot be ignored.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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10 most difficult-to-fill IT roles — and how to address the gap

CIO

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. These include not only cyber, but also cloud and generative AI, he says.

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Cloudera’s QATS Certification for Dell PowerScale Unleashes a New Era of Data Management

Cloudera

With its rise in popularity generative AI has emerged as a top CEO priority, and the importance of performant, seamless, and secure data management and analytics solutions to power those AI applications is essential.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

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Hyper-Personalization in Banking: Leverage AI for transforming customer experience

Newgen Software

The imperative task at hand involves facilitating effortless data accessibility, proficient organization, and harnessing this data to understand every customer at the N=1 level and enhance the customer experience. Natalia’s Dilemma of AI/ML in Banking Our conversation quickly turned to Natalia’s challenges in boosting revenue.

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