As generative artificial intelligence shifts from experimental play to enterprise-grade deployment, the conversation has moved from what constitutes responsible AI to how we actually achieve it. This shift is being...
Authors: Ashok Prakash, Staff Engineer at Apple Isan Sahoo, Principal Engineer at Oracle In the world of multi-tenant GPU clusters, managing spiraling cloud costs is a persistent challenge. Traditional retrospective...
Author: Ashok Prakash, Senior Principal Engineer at Oracle AI Summary The promise of AI agents is simple: automation. The reality, as many production teams have learned, is a story of...
How do you turn climate risk data into clear next steps a city can actually act on? Wavestone set out to answer that at the IBM Watson TechXChange hackathon. They...
(Originally published on the Milvus blog by Lumina Wang) As multimodal AI continues to expand, from text-to-image generation to intelligent retrieval systems, developers are looking for ways to make these...
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction In Part 1, we set the stage by examining how recommender systems evolved—from rule-based heuristics to deep learning and now toward...
By: Kate Blair, Director of Incubation, IBM Research & Todd Segal, Principal Software Engineer, Google IBM Research launched the Agent Communication Protocol (ACP) in March 2025 to power its BeeAI Platform, an open-source...
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction In Part 1, we explored how Large Language Models (LLMs) are expanding the scope of recommender systems—from passive prediction tools to...
Author: Nishant Satya Lakshmikanth, Engineering Leader, LinkedIn Corporation Introduction Recommender systems have come a long way—from basic rule-based approaches to sophisticated machine learning pipelines that serve billions of personalized suggestions...
