A Technology Broker and Management Company Specializing in KM Systems
Favorite This post is cowritten with Aashraya Sachdeva from Observe.ai. You can use Amazon SageMaker to build, train and deploy machine learning (ML) models, including large language models (LLMs) and other foundation models (FMs). This helps you significantly reduce the time required for a range of generative AI and ML
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Shared by AWS Machine Learning January 8, 2026
Favorite Organizations handle vast amounts of sensitive customer information through various communication channels. Protecting Personally Identifiable Information (PII), such as social security numbers (SSNs), driver’s license numbers, and phone numbers has become increasingly critical for maintaining compliance with data privacy regulations and building customer trust. However, manually reviewing and redacting
Read More Shared by AWS Machine Learning January 8, 2026
Favorite This blog post is based on work co-developed with Flo Health. Healthcare science is rapidly advancing. Maintaining accurate and up-to-date medical content directly impacts people’s lives, health decisions, and well-being. When someone searches for health information, they are often at their most vulnerable, making accuracy not just important, but
Read More Shared by AWS Machine Learning January 8, 2026
Favorite The Open Source Initiative (OSI) is pleased to welcome the Open Source Technology Improvement Fund (OSTIF) to the Open Policy Alliance. The Open Policy Alliance (OPA) was started in 2023 to bring together nonprofit Open Source community members to better understand and contribute to the changing landscape of public
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Shared by voicesofopensource January 8, 2026
Favorite Businesses face a growing challenge: customers need answers fast, but support teams are overwhelmed. Support documentation like product manuals and knowledge base articles typically require users to search through hundreds of pages, and support agents often run 20–30 customer queries per day to locate specific information. This post demonstrates
Read More Shared by AWS Machine Learning December 29, 2025
Favorite Operating a self-managed MLflow tracking server comes with administrative overhead, including server maintenance and resource scaling. As teams scale their ML experimentation, efficiently managing resources during peak usage and idle periods is a challenge. Organizations running MLflow on Amazon EC2 or on-premises can optimize costs and engineering resources by
Read More Shared by AWS Machine Learning December 29, 2025
Favorite Here are Google’s latest AI updates from December 2025 View Original Source (blog.google/technology/ai/) Here.
Favorite The rise of powerful large language models (LLMs) that can be consumed via API calls has made it remarkably straightforward to integrate artificial intelligence (AI) capabilities into applications. Yet despite this convenience, a significant number of enterprises are choosing to self-host their own models—accepting the complexity of infrastructure management,
Read More Shared by AWS Machine Learning December 24, 2025
Favorite Quality assurance (QA) testing has long been the backbone of software development, but traditional QA approaches haven’t kept pace with modern development cycles and complex UIs. Most organizations still rely on a hybrid approach combining manual testing with script-based automation frameworks like Selenium, Cypress, and Playwright—yet teams spend significant
Read More Shared by AWS Machine Learning December 24, 2025
Favorite Enterprise organizations increasingly rely on web-based applications for critical business processes, yet many workflows remain manually intensive, creating operational inefficiencies and compliance risks. Despite significant technology investments, knowledge workers routinely navigate between eight to twelve different web applications during standard workflows, constantly switching contexts and manually transferring information between
Read More Shared by AWS Machine Learning December 24, 2025