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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Regulations in the healthcare industry call for especially rigorous data governance.

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

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Establishing an AI/ML center of excellence

AWS Machine Learning

By taking a proactive approach , the CoE provides ethical compliance but also builds trust, enhances accountability, and mitigates potential risks such as veracity, toxicity, data misuse, and intellectual property concerns. It can also help develop custom AI solutions and help practitioners adapt to change in AI/ML development.

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What is Call Center Compliance?

NobelBiz

call centers that handle patient information on behalf of healthcare providers and organizations are obligated to comply with the Health Insurance Portability and Accountability Act (HIPAA) that sets standards for the security and privacy of sensitive patient health information. HIPAA Regulations: In the U.S.,

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Best practices to build generative AI applications on AWS

AWS Machine Learning

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

In this talk, learn how leaders are modernizing their data foundation, selecting industry-leading foundation models, and deploying purpose-built accelerators to unlock the possibilities of generative AI. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases.

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Security Operations Analyst

Stratifyd

Key accountabilities & responsibilities. Use industry-leading commercial and open source software to detect, evaluate, triage, prioritize, and respond to security events. BA/BS degree in Information Technology, Computer Science, Engineering or related field. Required Skills & Experience. Stratifyd, Inc.