Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Agentic AI isn’t just about capability anymore. It’s about control. Dr. Sameer Maskey breaks down one of the biggest challenges facing enterprise AI adoption: governance. As AI agents move beyond chatbots and begin accessing emails, contracts, Google Drive, DocuSign, and internal systems, the companies solving AI governance may become... show more

GateWatch

5,030 subscribers

2,267,690 Aufrufe • vor 1 Monat •via X (Twitter)

Nachrichten & Politik Bildung Wissenschaft & Technologie

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

What happens when enterprise AI evolves from “systems of record” to “systems of action”? #IBMPartner That’s the real story behind the IBM + Google Cloud partnership. At IBM Think, I spoke with Karan Sachdeva about: → WatsonX on Google Cloud Marketplace → OpenShift-enabled AI portability → HashiCorp-powered governance and security → IBM Orchestrate + Gemini integration Enterprises are building operational frameworks for autonomous AI agents. Governance, interoperability, and trust become more important than the models themselves. Watch the full conversation: #IBMPartner #IBMThink IBMPartners

What happens when enterprise AI evolves from “systems of record” to “systems of action”? #IBMPartner That’s the real story behind the IBM + Google Cloud partnership. At IBM Think, I spoke with Karan Sachdeva about: → WatsonX on Google Cloud Marketplace → OpenShift-enabled AI portability → HashiCorp-powered governance and security → IBM Orchestrate + Gemini integration Enterprises are building operational frameworks for autonomous AI agents. Governance, interoperability, and trust become more important than the models themselves. Watch the full conversation: #IBMPartner #IBMThink IBMPartners

Helen Yu

12,297 Aufrufe • vor 1 Monat

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

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 Aufrufe • vor 4 Monaten

"The smart contract knows the guardrails." - Dr. Leemon Baird The future of agentic payments relies on trusted rails. As AI agents begin transacting autonomously, programmable guardrails, verifiable execution, and transparent governance become essential for building trust at scale. That’s where Hedera comes in.

"The smart contract knows the guardrails." - Dr. Leemon Baird The future of agentic payments relies on trusted rails. As AI agents begin transacting autonomously, programmable guardrails, verifiable execution, and transparent governance become essential for building trust at scale. That’s where Hedera comes in.

Hedera

19,066 Aufrufe • vor 19 Tagen

AI Governance and The Agentic State

AI Governance and The Agentic State

Greg Reese

64,450 Aufrufe • vor 10 Monaten

Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!

Sat down with Kari Ann Briski, VP of Generative AI Software for Enterprise @ NVIDIA, to discuss NVIDIA’s Nemotron open models, how training data can be used for building agentic systems, and scaled AI enterprise adoption. Thank you to Kari NVIDIA AI Developer for taking the time!

amit

65,120 Aufrufe • vor 4 Monaten

“AWS is a big brand… that becomes a huge accelerator.” fusemachines CEO Dr. Sameer Maskey explains how strategic partnerships with companies like Amazon Web Services are helping accelerate growth through co-selling, co-branding, and expanded enterprise reach. Fusemachines is now among a limited group of companies operating within this AWS partnership tier. Ticker to watch: FUSE

GateWatch

1,146,364 Aufrufe • vor 1 Monat

The agentic enterprise is here. We’re unveiling new innovations across AI agents, real-time data, governance, & interoperability to help enterprises build AI that can reason, automate, and drive action at scale. Check out the highlights 👇

The agentic enterprise is here. We’re unveiling new innovations across AI agents, real-time data, governance, & interoperability to help enterprises build AI that can reason, automate, and drive action at scale. Check out the highlights 👇

Snowflake

14,003 Aufrufe • vor 19 Tagen

AI is shrinking the cost of crypto integration. Adoption by agents, companies, and developers is about to accelerate like never before. The full stack for markets and machines is ready. Shelby is just the start. Aptos Labs' avery.apt 🇺🇸 with Alix on the rise of AI.

AI is shrinking the cost of crypto integration. Adoption by agents, companies, and developers is about to accelerate like never before. The full stack for markets and machines is ready. Shelby is just the start. Aptos Labs' avery.apt 🇺🇸 with Alix on the rise of AI.

Aptos

18,415 Aufrufe • vor 1 Monat

1/ AI Agents in Web3? It’s just getting started. TARS AI 🤖 There are plenty of AI agent launchpads, but TARS is different. Think of it as the eBay of AI commodities—where anyone can create, trade, and evolve AI agents and beyond.

1/ AI Agents in Web3? It’s just getting started. TARS AI 🤖 There are plenty of AI agent launchpads, but TARS is different. Think of it as the eBay of AI commodities—where anyone can create, trade, and evolve AI agents and beyond.

Armielyn Obinguar

25,873 Aufrufe • vor 1 Jahr

The bull market may come and go, but $HEART is here to shape the future of AI and AI Workers. On Humans AI, $HEART powers decentralized systems, ethical intelligence, and the rise of proactive AI in our daily lives. As AI transforms the world, we are building the foundation for the future of work. This isn’t just a moonshot; it’s the start of a new era. 🌕

The bull market may come and go, but $HEART is here to shape the future of AI and AI Workers. On Humans AI, $HEART powers decentralized systems, ethical intelligence, and the rise of proactive AI in our daily lives. As AI transforms the world, we are building the foundation for the future of work. This isn’t just a moonshot; it’s the start of a new era. 🌕

Humans.ai

12,210 Aufrufe • vor 1 Jahr

AI agents are quickly becoming a new layer of the enterprise workforce. In our partner podcast episode with Salesforce, we explored what it takes to make that shift real. 3 key insights: • Enterprise content gives AI the context it needs • The biggest gains come from content-heavy workflows • Governance must scale as agents take action Dive into how Box + Salesforce are thinking about the future of enterprise AI →

AI agents are quickly becoming a new layer of the enterprise workforce. In our partner podcast episode with Salesforce, we explored what it takes to make that shift real. 3 key insights: • Enterprise content gives AI the context it needs • The biggest gains come from content-heavy workflows • Governance must scale as agents take action Dive into how Box + Salesforce are thinking about the future of enterprise AI →

Box

883,519 Aufrufe • vor 3 Monaten

Sundar Pichai (Sundar Pichai), Google CEO, on: 🔹Race to AGI 🔹Agents 🔹AI & Information Diet 🔹Open Source 🔹Cybersecurity 🔹US vs China Intro AI agents replacing parts of the internet AI agents deciding our information diet Will agents kill the “raw internet”? AI cyberattacks and Google’s defense strategy Should dangerous cyber AI models be held back? The threshold for releasing powerful AI Why Google hasn't open-sourced a large model The broken business model with open-source AI American companies using Chinese AI The risk of building on China’s AI ecosystem Why Google cares so much about cheap, fast AI models Sundar on self-improving AI and the race to AGI Google’s compute situation Google has more AI demand than compute Google’s biggest compute bottleneck

Sundar Pichai (Sundar Pichai), Google CEO, on: 🔹Race to AGI 🔹Agents 🔹AI & Information Diet 🔹Open Source 🔹Cybersecurity 🔹US vs China Intro AI agents replacing parts of the internet AI agents deciding our information diet Will agents kill the “raw internet”? AI cyberattacks and Google’s defense strategy Should dangerous cyber AI models be held back? The threshold for releasing powerful AI Why Google hasn't open-sourced a large model The broken business model with open-source AI American companies using Chinese AI The risk of building on China’s AI ecosystem Why Google cares so much about cheap, fast AI models Sundar on self-improving AI and the race to AGI Google’s compute situation Google has more AI demand than compute Google’s biggest compute bottleneck

Matthew Berman

299,565 Aufrufe • vor 1 Monat

$NOW CEO Bill McDermott says the market is pricing in fear that LLMs could replace large parts of enterprise software. But in an AI economy where companies need to operationalize agentic AI safely, ServiceNow looks more like the control layer for governance, context, routing and oversight. The market is still struggling to separate software that gets disrupted by AI from software that becomes more valuable because AI needs exactly that control layer. I think ServiceNow sits much closer to the second bucket.

$NOW CEO Bill McDermott says the market is pricing in fear that LLMs could replace large parts of enterprise software. But in an AI economy where companies need to operationalize agentic AI safely, ServiceNow looks more like the control layer for governance, context, routing and oversight. The market is still struggling to separate software that gets disrupted by AI from software that becomes more valuable because AI needs exactly that control layer. I think ServiceNow sits much closer to the second bucket.

Shay Boloor

264,040 Aufrufe • vor 1 Monat

The future of cinema isn't about the companies building AI, it’s about the filmmakers who know which stories are worth telling 🎬 Invideo is hosting the World’s Largest AI Film Festival at the AI Impact Summit in New Delhi. This isn't just a contest; it’s a global stage

The future of cinema isn't about the companies building AI, it’s about the filmmakers who know which stories are worth telling 🎬 Invideo is hosting the World’s Largest AI Film Festival at the AI Impact Summit in New Delhi. This isn't just a contest; it’s a global stage

Leo ☄️

38,917 Aufrufe • vor 4 Monaten

🤖 AI Agents vs Agentic AI: What’s the difference? We broke down the latest research paper on the conceptual taxonomy, use cases, and challenges of both. 🧠 AI Agents = simple automation ⚙️ Agentic AI = complex, collaborative goal-seeking 🎥 Watch the demo 📚 Get the TL;DR below 👇

🤖 AI Agents vs Agentic AI: What’s the difference? We broke down the latest research paper on the conceptual taxonomy, use cases, and challenges of both. 🧠 AI Agents = simple automation ⚙️ Agentic AI = complex, collaborative goal-seeking 🎥 Watch the demo 📚 Get the TL;DR below 👇

Masa

14,391 Aufrufe • vor 1 Jahr

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early

Y Combinator

195,044 Aufrufe • vor 11 Tagen

$NVDA CEO Jensen Huang and $DELL CEO Michael Dell discussed the biggest AI supply chain constraint right now. They also broke down the future of AI agents as digital workers inside the enterprise.

$NVDA CEO Jensen Huang and $DELL CEO Michael Dell discussed the biggest AI supply chain constraint right now. They also broke down the future of AI agents as digital workers inside the enterprise.

Shay Boloor

75,999 Aufrufe • vor 1 Monat

60% of companies expect to be transformed by AI within two years. But here's the reality: most are still bolting AI onto legacy workflows instead of reimagining how work gets done. That's not transformation—that's just expensive automation. Our latest research reveals what separates AI leaders from laggards. The companies winning with AI aren't just adopting new tools—they're redesigning how their business creates value from the ground up. The challenge: Most organizations are nowhere near putting AI at the center of their strategy. They're missing the exponential gains that come from true AI-first thinking. The solution: A complete playbook for IT leaders and CIOs ready to move at the speed of AI. 🎯 5 Core Principles of AI-First Companies: 1️⃣ AI as a capability expander — Enable work that wasn't possible before, not just faster versions of old tasks 2️⃣ Human-AI partnership — Augment human creativity and decision-making rather than replacing it 3️⃣ AI-native design — Build systems that seamlessly integrate thousands of AI agents working behind the scenes 4️⃣ Trust & governance foundation — Remember: "AI agents can't keep a secret"—never rely on AI to maintain core security models. 5️⃣ Data as strategic fuel — Transform unstructured content into your competitive advantage The companies implementing these principles today are building insurmountable competitive advantages. They're not just working faster—they're working in entirely new ways. Ready to lead your industry's AI transformation? 📖 Get the complete framework Want to explore the benefits? Get the full details here:

60% of companies expect to be transformed by AI within two years. But here's the reality: most are still bolting AI onto legacy workflows instead of reimagining how work gets done. That's not transformation—that's just expensive automation. Our latest research reveals what separates AI leaders from laggards. The companies winning with AI aren't just adopting new tools—they're redesigning how their business creates value from the ground up. The challenge: Most organizations are nowhere near putting AI at the center of their strategy. They're missing the exponential gains that come from true AI-first thinking. The solution: A complete playbook for IT leaders and CIOs ready to move at the speed of AI. 🎯 5 Core Principles of AI-First Companies: 1️⃣ AI as a capability expander — Enable work that wasn't possible before, not just faster versions of old tasks 2️⃣ Human-AI partnership — Augment human creativity and decision-making rather than replacing it 3️⃣ AI-native design — Build systems that seamlessly integrate thousands of AI agents working behind the scenes 4️⃣ Trust & governance foundation — Remember: "AI agents can't keep a secret"—never rely on AI to maintain core security models. 5️⃣ Data as strategic fuel — Transform unstructured content into your competitive advantage The companies implementing these principles today are building insurmountable competitive advantages. They're not just working faster—they're working in entirely new ways. Ready to lead your industry's AI transformation? 📖 Get the complete framework Want to explore the benefits? Get the full details here:

Box

128,566 Aufrufe • vor 1 Jahr

At the TIME100 AI Leadership Forum, Publicis Sapient CEO Nigel Vaz began spoke about the “exponential” capability of AI to transform and enhance companies’ abilities to problem solve and become more efficient. Read more:

At the TIME100 AI Leadership Forum, Publicis Sapient CEO Nigel Vaz began spoke about the “exponential” capability of AI to transform and enhance companies’ abilities to problem solve and become more efficient. Read more:

TIME

2,901,659 Aufrufe • vor 22 Tagen

As frontier models mature, the hardest enterprise challenges live at the system level. AI Foundry brings together research, customers, and partners to develop and validate new AI capabilities.

As frontier models mature, the hardest enterprise challenges live at the system level. AI Foundry brings together research, customers, and partners to develop and validate new AI capabilities.

Salesforce AI Research

13,643,222 Aufrufe • vor 2 Monaten