Favorite The generative AI industry has undergone a significant transformation from using large language model (LLM)-driven applications to agentic AI systems, marking a fundamental shift in how AI capabilities are architected and deployed. While early generative AI applications primarily relied on LLMs to directly generate text and respond to prompts,
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Shared by AWS Machine Learning February 19, 2026
Favorite Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc.
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Shared by AWS Machine Learning February 19, 2026
Favorite CEO Sundar Pichai’s remarks at the opening ceremony of the AI Impact Summit 2026 View Original Source (blog.google/technology/ai/) Here.
Favorite Lyria 3 is now available in the Gemini app. Create custom, high-quality 30-second tracks from text and images. View Original Source (blog.google/technology/ai/) Here.
Favorite An overview of Google’s new global partnerships and funding announcements at the AI Impact Summit in India. View Original Source (blog.google/technology/ai/) Here.
Favorite A look at the partnerships and investments Google announced at the AI Impact Summit 2026. View Original Source (blog.google/technology/ai/) Here.
Favorite A look at our 2026 Responsible AI Progress Report. View Original Source (blog.google/technology/ai/) Here.
Favorite AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to
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Shared by AWS Machine Learning February 14, 2026
Favorite AI agents are rapidly evolving from mere chat interfaces into sophisticated autonomous workers that handle complex, time-intensive tasks. As organizations deploy agents to train machine learning (ML) models, process large datasets, and run extended simulations, the Model Context Protocol (MCP) has emerged as a standard for agent-server integrations. But
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Shared by AWS Machine Learning February 13, 2026
Favorite Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness,
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Shared by AWS Machine Learning February 13, 2026
Shared by AWS Machine Learning February 19, 2026
