Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Behind every AI agent that can reason, plan, and act is an orchestration layer that keeps everything in sync. Learn why the CPU plays a critical role in powering agentic AI experiences:

Qualcomm's profile picture

Qualcomm

441,938 subscribers

22,537 görüntüleme • 12 gün önce •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

HERE’S TODAY’S FOX BUSINESS SEGMENT • The “SaaSpocalypse” 2026: legacy SaaS gets repriced as the plumbing layer in an agentic AI stack • Where value is migrating in the Agentic AI Stack: orchestration, security, connectivity, and data • Cyber picks for the agentic era: $CRWD as the interaction layer for agents, $RBRK as the “undo button” for agents & $ZS as the control plane for agent traffic • Why AI systems can’t function without clean, well-organized data: $SNOW, $MDB • The enterprise AI bottleneck: nobody is better positioned than $PLTR sitting between cheap, powerful models & messy, valuable enterprise data • Picks-and-shovels winner in agentic AI: $NET
7:01

HERE’S TODAY’S FOX BUSINESS SEGMENT • The “SaaSpocalypse” 2026: legacy SaaS gets repriced as the plumbing layer in an agentic AI stack • Where value is migrating in the Agentic AI Stack: orchestration, security, connectivity, and data • Cyber picks for the agentic era: $CRWD as the interaction layer for agents, $RBRK as the “undo button” for agents & $ZS as the control plane for agent traffic • Why AI systems can’t function without clean, well-organized data: $SNOW, $MDB • The enterprise AI bottleneck: nobody is better positioned than $PLTR sitting between cheap, powerful models & messy, valuable enterprise data • Picks-and-shovels winner in agentic AI: $NET

Shay Boloor

191,754 görüntüleme • 6 ay önce

To understand what’s next for AI, you first have to understand how computing architecture is evolving. In the agentic era, intelligence is becoming distributed across devices, the edge, and the data center, allowing every layer of the stack to do what it does best:
1:31

To understand what’s next for AI, you first have to understand how computing architecture is evolving. In the agentic era, intelligence is becoming distributed across devices, the edge, and the data center, allowing every layer of the stack to do what it does best:

Qualcomm

10,222 görüntüleme • 24 gün önce

AI workflows need money that machines can use. USDC unlocks that. In this episode of Stablecoin 101, Corey Cooper explains: → Why blockchain is uniquely suited as a trust and settlement layer for AI → A demo of an AI agent making autonomous USDC micro-payments for API access → Emerging agent-to-agent payment models powered by stablecoins
3:29

AI workflows need money that machines can use. USDC unlocks that. In this episode of Stablecoin 101, Corey Cooper explains: → Why blockchain is uniquely suited as a trust and settlement layer for AI → A demo of an AI agent making autonomous USDC micro-payments for API access → Emerging agent-to-agent payment models powered by stablecoins

Circle Developer

16,122 görüntüleme • 9 ay önce

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.
0:53

When people talk about AI, they often focus on the models. But behind every AI system are millions of human contributions. The data comes from human writing, speech, images, and behavior. The labels that help models learn patterns are created by people. The feedback that improves responses comes from people. And the moderation that keeps systems safe is handled by people. AI may look automated on the surface, but human intelligence powers every layer underneath it. Really enjoyed hearing Ishank Gupta and Maria Vovchok discuss this reality and KGeN's role in the evolving AI ecosystem during the recent X Space hosted by Gate. A great reminder that the future of AI is still deeply connected to human participation.

Bahdfella™ ❤️‍🔥

36,111 görüntüleme • 2 ay önce

Two critical pieces of the AI agent stack are coming together. ElizaOS Ecosystem Fund the fastest growing agent framework and Walrus 🦭/acc that makes these agents actually work. Watch this conversation to understand why Walrus 🦭/acc is critical infrastructure for the agentic era.
14:50

Two critical pieces of the AI agent stack are coming together. ElizaOS Ecosystem Fund the fastest growing agent framework and Walrus 🦭/acc that makes these agents actually work. Watch this conversation to understand why Walrus 🦭/acc is critical infrastructure for the agentic era.

rebecca simmonds 🦭/acc

13,289 görüntüleme • 9 ay önce

On #GlobalMaintenanceDay, we recognize the critical role that maintenance plays in powering communities around the world By combining skilled professionals with robust systems, we create a world-class maintenance ecosystem that aims to ensure the reliability and efficiency of our operations, and can sustain an uninterrupted flow of energy that powers the globe #aramco
1:24

On #GlobalMaintenanceDay, we recognize the critical role that maintenance plays in powering communities around the world By combining skilled professionals with robust systems, we create a world-class maintenance ecosystem that aims to ensure the reliability and efficiency of our operations, and can sustain an uninterrupted flow of energy that powers the globe #aramco

aramco

13,457,421 görüntüleme • 1 yıl önce

The AI Operating System for Companies Diana The best AI-native companies have made their entire company queryable: every meeting, ticket, and customer interaction legible to an intelligence layer that learns from it. Building this today requires brutal integration work, and there's no product that connects all this context into a single layer that can reason across it.
1:20

The AI Operating System for Companies Diana The best AI-native companies have made their entire company queryable: every meeting, ticket, and customer interaction legible to an intelligence layer that learns from it. Building this today requires brutal integration work, and there's no product that connects all this context into a single layer that can reason across it.

Y Combinator

110,820 görüntüleme • 4 ay önce

Today in our company all-hands, Sreeram Kannan made an important point: Most AI agents still feel like software with a human behind the curtain. The real question isn’t whether an agent can post. It’s whether an agent can own the act of posting. - Can it sign the action? - Can you verify the signature? - Can you trace that signature to a secure environment? - Can you inspect what was actually running when the action happened? Once the answer is yes, the category changes. Now you’re not looking at AI-generated content. You’re looking at a software entity that can act in a way that is attributable, inspectable and independent. A completely new primitive! Watch the clip:
6:05

Today in our company all-hands, Sreeram Kannan made an important point: Most AI agents still feel like software with a human behind the curtain. The real question isn’t whether an agent can post. It’s whether an agent can own the act of posting. - Can it sign the action? - Can you verify the signature? - Can you trace that signature to a secure environment? - Can you inspect what was actually running when the action happened? Once the answer is yes, the category changes. Now you’re not looking at AI-generated content. You’re looking at a software entity that can act in a way that is attributable, inspectable and independent. A completely new primitive! Watch the clip:

EigenCloud

14,592 görüntüleme • 5 ay önce

Nobody cares about chatbots anymore. You want AI agents that can reason, plan, collaborate, and solve tasks. That's what modern AI is all about. At AI Agents Conference 2026, ASI:One was trending because people used their agent to order their coffee. People asked for their orders in natural language, and the agent handled the rest, processing more than 1,000 orders during the conference without a hitch. This is how it works behind the scenes:
0:36

Nobody cares about chatbots anymore. You want AI agents that can reason, plan, collaborate, and solve tasks. That's what modern AI is all about. At AI Agents Conference 2026, ASI:One was trending because people used their agent to order their coffee. People asked for their orders in natural language, and the agent handled the rest, processing more than 1,000 orders during the conference without a hitch. This is how it works behind the scenes:

Santiago

17,867 görüntüleme • 3 ay önce

Agentic AI, taught by Andrew Ng, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at DeepLearning.AI. Enroll now 👉
0:59

Agentic AI, taught by Andrew Ng, is now available worldwide. Learn to design and evaluate AI systems that plan, reflect, and collaborate across multiple steps, built in raw Python. Available exclusively at DeepLearning.AI. Enroll now 👉

DeepLearning.AI

47,578 görüntüleme • 10 ay önce

WATCH: Agentic AI assistants like OpenClaw can plan, decide, and act on our behalf. TrendAI™ Research explains why these capabilities are powerful, and why they also amplify long‑standing security risks. Learn what this means for your organization in our full research:
1:48

WATCH: Agentic AI assistants like OpenClaw can plan, decide, and act on our behalf. TrendAI™ Research explains why these capabilities are powerful, and why they also amplify long‑standing security risks. Learn what this means for your organization in our full research:

TrendAI™ Research

2,088,923 görüntüleme • 6 ay önce

My thesis on $PATH in 60 seconds: Everyone thinks agentic AI kills UiPath. I think it's the opposite. AI agents are powerful but useless without orchestration. Someone has to deploy them, govern them, and connect them to the 50 different systems inside a Fortune 500 company. That's what UiPath built with Maestro - an orchestration layer that integrates AI agents from Anthropic, OpenAI, and Google into real enterprise workflows. They're not competing with the models. They're the layer those models need to actually work. The numbers: - $1.78B ARR, growing 11% YoY - Q3 revenue $411M, up 16% - First GAAP profitable quarter in company history - 85% gross margins - $1.7B cash on the balance sheet - 10,600+ customers, 65% of the Fortune 500 The stock is $10.71. Down 84% from its IPO. Founder CEO Daniel Dines came back and is rebuilding the company around agentic automation. Watch his breakdown below - he explains exactly why AI makes UiPath more relevant, not less. I just opened shares and LEAPs. If agentic AI is real, the orchestration layer wins.
4:19

My thesis on $PATH in 60 seconds: Everyone thinks agentic AI kills UiPath. I think it's the opposite. AI agents are powerful but useless without orchestration. Someone has to deploy them, govern them, and connect them to the 50 different systems inside a Fortune 500 company. That's what UiPath built with Maestro - an orchestration layer that integrates AI agents from Anthropic, OpenAI, and Google into real enterprise workflows. They're not competing with the models. They're the layer those models need to actually work. The numbers: - $1.78B ARR, growing 11% YoY - Q3 revenue $411M, up 16% - First GAAP profitable quarter in company history - 85% gross margins - $1.7B cash on the balance sheet - 10,600+ customers, 65% of the Fortune 500 The stock is $10.71. Down 84% from its IPO. Founder CEO Daniel Dines came back and is rebuilding the company around agentic automation. Watch his breakdown below - he explains exactly why AI makes UiPath more relevant, not less. I just opened shares and LEAPs. If agentic AI is real, the orchestration layer wins.

Jason Luongo

27,595 görüntüleme • 6 ay önce

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.
23:07

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 görüntüleme • 1 yıl önce

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.
5:06

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 görüntüleme • 4 ay önce

The next generation of AI apps will be powered by agents that reason, act, and pay. Mentor Session #1 features Ben Greenberg from Arbitrum on Agentic Payment Flows and Private AI Inference using x402 & AP2. If you’re building for x402, this session is a must watch. App Layer FTW.
21:43

The next generation of AI apps will be powered by agents that reason, act, and pay. Mentor Session #1 features Ben Greenberg from Arbitrum on Agentic Payment Flows and Private AI Inference using x402 & AP2. If you’re building for x402, this session is a must watch. App Layer FTW.

Capx AI

41,278 görüntüleme • 8 ay önce

Announcing Microsoft Agent Framework in Azure AI Foundry. As agentic AI adoption accelerates, managing multi-agent systems is harder than ever. The framework helps devs build, observe, and govern responsibly—at scale. Learn more:
1:02

Announcing Microsoft Agent Framework in Azure AI Foundry. As agentic AI adoption accelerates, managing multi-agent systems is harder than ever. The framework helps devs build, observe, and govern responsibly—at scale. Learn more:

Microsoft Azure

61,850 görüntüleme • 11 ay önce

$AMZN AWS launched Amazon Quick which is a desktop AI assistant that works across your apps and data to surface what matters and take action. This is agentic AI turning the inbox into an archive and becoming the layer that prioritizes and handles the busywork.
1:05

$AMZN AWS launched Amazon Quick which is a desktop AI assistant that works across your apps and data to surface what matters and take action. This is agentic AI turning the inbox into an archive and becoming the layer that prioritizes and handles the busywork.

Shay Boloor

44,598 görüntüleme • 4 ay önce

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!
3:29

New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain founder Harrison Chase Harrison Chase and Tavily founder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here!

Andrew Ng

152,597 görüntüleme • 2 yıl önce