1. 21 Sep 2026

    Salesforce Partner on Why Their AI Agent Failed in an Indian Hospital and What Fixed It

    ... ai trends, as enterprises move beyond simple experimentation toward deploying autonomous agents for strategic business applications. We discuss ...

    www.youtube.com ↗
  2. 20 Sep 2026

    Vance's "Frankenstein" AI defense is a blueprint for 2028 - Salon.com

    The vice president's half-skeptical act is a model for Republicans looking to move beyond Trumpism. ... Large-language models built by companies like ...

    www.salon.com ↗
  3. 18 Sep 2026

    Fashion's agentic AI race: What's blocking the move beyond pilots? - Fibre2Fashion

    Without disciplined product data, agentic artificial intelligence can fail to deliver value. Brands should first fix bills of materials, tech packs, ...

    www.fibre2fashion.com ↗
  4. 17 Sep 2026

    Beyond the AI trade: why agentic AI and blockchain could reshape your portfolio

    Agentic AI moves beyond the reactive chatbot to an autonomous system that can perceive its environment, devise a plan, and execute multi-step tasks ...

    funds-europe.com ↗
  5. 16 Sep 2026

    Scaling Manufacturing with Industrial DataOps and Agentic AI | ARC Advisory Group

    ABB's Vinod Ninan explores how Industrial DataOps, contextual intelligence, and bounded agentic AI can help manufacturers move beyond isolated AI ...

    www.arcweb.com ↗
  6. 15 Sep 2026

    Agentic AI Powers Employee Success | IT & HR Service Keynote, Dreamforce 2026

    Move beyond traditional IT and HR support queues with AI agents that proactively resolve employee requests wherever work happens.

    www.youtube.com ↗
  7. 15 Sep 2026

    AI voice agents: the 2026 guide for contact center leaders ready to move beyond IVR | Zoom

    Large language models (LLMs) are what make modern AI voice agents feel genuinely conversational rather than scripted. Where earlier systems followed ...

    www.zoom.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 15:14 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 15:14 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 15:14 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 15:14 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 15:14 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 15:14 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 15:14 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 15:14 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 15:14 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 15:14 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 15:14 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 15:14 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 15:14 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 15:14 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

32 items Polled 22 Sep, 15:14 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.