A Technology Broker and Management Company Specializing in KM Systems
Favorite Optimizing model training on Amazon SageMaker AI with NVIDIA Blackwell GPUs changes what’s practical for large AI models. If you train large models today, you are likely working around a familiar set of constraints: batch sizes limited by GPU memory, sequence lengths cut short to avoid out-of-memory errors, and
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Shared by AWS Machine Learning June 25, 2026
Favorite The opinions expressed in this post are the authors’ views and not those of Cisco. Enterprise architectures have long been centered on REST APIs and microservices. These systems are stable, well-tested, and deeply embedded in production environments. They weren’t designed for Agent-to-Agent (A2A) communication, the emerging standard for autonomous
Read More Shared by AWS Machine Learning June 25, 2026
Favorite The new Google Finance is coming out of beta and launching a new Android app. View Original Source (blog.google/technology/ai/) Here.
Favorite Loka transformed customer voice interactions by building a conversational AI agent with Amazon Nova 2 Sonic that keeps customers engaged with natural, responsive experiences. Their AWS-based solution achieves high speech reasoning accuracy on Big Bench Audio while delivering significantly lower costs and faster response times than traditional voice AI
Read More Shared by AWS Machine Learning June 24, 2026
Favorite One dashboard shows 42,000 active movie view counts while another shows 38,500. Your chat agent references a third number entirely. Data teams spend hours reconciling numbers instead of answering strategic questions, and trust in analytics erodes. This is a pattern that we see across many organizations. Teams spend more
Read More Shared by AWS Machine Learning June 24, 2026
Favorite If you run a clinic or hospital network, you already know the cost of missed appointments. The average no-show rate across US healthcare sits between 5–30 percent, depending on specialty. Each empty slot represents lost revenue, idle provider time, and delayed patient care. The standard fix, calling patients one
Read More Shared by AWS Machine Learning June 24, 2026
Favorite When your document repository contains hundreds of millions of files accumulated over nearly a decade, how do you systematically find and redact sensitive customer data without taking years to complete? This was the challenge facing The Huntington National Bank (Huntington), a top 10 bank in the United States. Redacting
Read More Shared by AWS Machine Learning June 24, 2026
Favorite Building multi-tenant AI applications presents new architectural challenges. You need complete tenant isolation between customers, different service tiers with different capabilities, granular cost tracking, and observability per tenant. Without these, you could risk exposing customer data, not providing appropriate quality of service to your customers or running up unforeseen
Read More Shared by AWS Machine Learning June 23, 2026
Favorite Protein researchers face a time-consuming challenge: manually searching through thousands of peptide sequences to find structurally similar candidates is slow, error-prone, and requires deep domain expertise to interpret results. Building a protein research copilot can transform how researchers search for structurally similar peptides across large datasets — enabling natural
Read More Shared by AWS Machine Learning June 23, 2026
Favorite The Open Source Initiative (OSI) is pleased to announce the launch of the Open Source AI Fellowship at UN Open Source Week. The fellowship will support OSI’s work to advance understanding, measure trends, engage in policy, and build consensus around what it means for an AI system to be
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Shared by voicesofopensource June 23, 2026