Remove Healthcare Remove Systems Review Remove Vendor Management
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective. First, the mean part.

Cloud 147
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What to do when your IT provider vanishes

CIO

Emerging companies such as Olive AI, developer of an administrative task automation system for health centers, or Plastiq, an online payment platform, obtained important rounds of financing, only then to declare bankruptcy. So too are robust vendor management practices. Other times, it’s a specific service that changes.

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Key considerations to cancer institute’s gen AI deployment

CIO

That included setting up a governance framework, building an internal tool that was safe for employees to use, and developing a process for vetting gen AI embedded in third-party systems. Vendor management Gen AI is more than just choosing between a free, insecure, public chatbot and a private, controlled one.

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What CIOs are in for with the EU’s Data Act

CIO

How CIOs are working on the Data Act As required by current regulations for private healthcare, elderly healthcare management company Karol Strutture Sanitarie collects patient data in their medical records, allowing them to use it even after hospitalization.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Humans can perform a variety of tasks, from data generation and annotation to model review, customization, and evaluation. The tenant management component is responsible for managing and administering these tenants within the system. Both Amazon SageMaker and Amazon Bedrock are integrated with AWS CloudTrail.

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Strategies to mitigate AI security and compliance risks

Modus Create

However, the rapid integration of AI usually overlooks critical security and compliance considerations, increasing the risk of financial losses and reputational damage due to unexpected AI behavior, security breaches, and regulatory violations. What are the top AI security and compliance concerns?

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Large Language Models in Telemedicine and Remote Care

John Snow Labs

LLMs and Their Role in Telemedicine and Remote Care Large Language Models (LLMs) are advanced artificial intelligence systems developed to understand and generate text in a human-like manner. Their ability to streamline routine tasks like symptom checking, follow-ups, and scheduling enables healthcare professionals to focus on complex cases.