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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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Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker

AWS Machine Learning

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services.

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How to Bring Agile Innovation to Customer Success

Totango

An agile approach brings the full power of big data analytics to bear on customer success. Follow a clear plan on governance and decision making. Follow a Clear Plan on Governance and Decision making. Effective execution of an agile CS plan depends on following good governance and decision-making practices.

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Simplified Data Management: A Step-by-Step Guide to Streamlining Your Business Operations

CSM Magazine

By adopting advanced data management tools and methodologies, businesses can uncover hidden patterns, trends, and crucial information, empowering them to make informed decisions and refine their strategies. As we delve into the various aspects of effective data management, we will discuss diverse tools, techniques, and best practices.

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Customer Success in Healthcare Industry: Trends and Best Practices

SmartKarrot

With the growth of technology, the healthcare sector has adopted highly sophisticated technologies like Big data, electronic health/medical record (EHR/EMR) in their software products. Hence, a few trends and best practices are worth following for such companies. Customer success best practices in healthcare.

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Reduce food waste to improve sustainability and financial results in retail with Amazon Forecast

AWS Machine Learning

With environmental, social, and governance (ESG) initiatives becoming more important for companies, our customer, one of Greater China region’s top convenience store chains, has been seeking a solution to reduce food waste (currently over $3.5 million USD per year). Ray Wang is a Solutions Architect at AWS.

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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

The framework that gives systematic visibility into ML model development, validation, and usage is called ML governance. During AWS re:Invent 2022, AWS introduced new ML governance tools for Amazon SageMaker which simplifies access control and enhances transparency over your ML projects.