A Technology Broker and Management Company Specializing in KM Systems
Favorite Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer known questions. When teams need to explore further, ad-hoc, multi-dimensional, or unforeseen questions, they hit a bottleneck. They wait hours or days for
Read More
Shared by AWS Machine Learning May 4, 2026
Favorite Here are Google’s latest AI updates from April 2026 View Original Source (blog.google/technology/ai/) Here.
Favorite Event-Driven Webhooks are a push-based notification system that eliminates the need for inefficient polling. View Original Source (blog.google/technology/ai/) Here.
Favorite Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds
Read More Shared by AWS Machine Learning May 1, 2026
Favorite AI agents in production environments often need to reach internal APIs, databases, and private resources that sit behind Amazon Virtual Private Cloud (Amazon VPC) boundaries. Managing private connectivity for each agent-to-tool path adds operational overhead and slows deployment. Amazon Bedrock AgentCore VPC connectivity is designed to deploy AI agents
Read More Shared by AWS Machine Learning April 30, 2026
Favorite Modern enterprises face mounting challenges in extracting actionable insights from vast data lakes and lakehouses spanning petabytes of structured and unstructured data. Traditional analytics require specialized technical expertise in SQL, data modeling, and business intelligence tools, creating bottlenecks that slow decision-making across retail, financial services, healthcare, Travel & Hospitality,
Read More Shared by AWS Machine Learning April 30, 2026
Favorite This post was co-authored with Krišjānis Kočāns, Kaspars Magaznieks, Sergei Kiriasov from Sun Finance Group If you process identity documents at scale—loan applications, account openings, compliance checks—you’ve likely hit the same wall: traditional optical character recognition (OCR) gets you partway there, but extraction errors still push a large share
Read More Shared by AWS Machine Learning April 30, 2026
Favorite Maintaining model agility is crucial for organizations to adapt to technological advancements and optimize their artificial intelligence (AI) solutions. Whether transitioning between different large language model (LLM) families or upgrading to newer versions within the same family, a structured migration approach and a standardized process are essential for facilitating
Read More Shared by AWS Machine Learning April 30, 2026
Favorite Large language models (LLMs) now drive the most advanced conversational agents, creative tools, and decision-support systems. However, their raw output often contains inaccuracies, policy misalignments, or unhelpful phrasing—issues that undermine trust and limit real-world utility. Reinforcement Fine‑Tuning (RFT) has emerged as the preferred method to align these models efficiently,
Read More Shared by AWS Machine Learning April 30, 2026
Favorite When AI agents connect to tools through the Model Context Protocol (MCP), they gain access to capabilities that range from database queries and API calls to file operations and third-party service integrations. In production, these interactions need proper governance, controls, and observability aligned with an organization’s security policies. This
Read More Shared by AWS Machine Learning April 29, 2026