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

18,769 subscribers

2,268,510 Aufrufe • vor 6 Monaten •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

I governance is evolving alongside AI capabilities. Our latest Responsible AI Transparency Report shows how we’re strengthening lifecycle governance and sharing practical tools as AI systems become more agentic and interconnected. Read the report:

I governance is evolving alongside AI capabilities. Our latest Responsible AI Transparency Report shows how we’re strengthening lifecycle governance and sharing practical tools as AI systems become more agentic and interconnected. Read the report:

Microsoft On the Issues

2,968,894 Aufrufe • vor 2 Monaten

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

12,313 Aufrufe • vor 5 Monaten

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 8 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

19,225 Aufrufe • vor 5 Monaten

$PLTR CEO Alex Karp argued that AI alone is not enough. The real value comes from combining models with domain expertise, workflows, and operational execution. His view is that enterprise AI is ultimately about solving business problems, not maximizing token usage. As models become commoditized, the winners may be the companies that combine taste, data, and execution rather than compute alone.

$PLTR CEO Alex Karp argued that AI alone is not enough. The real value comes from combining models with domain expertise, workflows, and operational execution. His view is that enterprise AI is ultimately about solving business problems, not maximizing token usage. As models become commoditized, the winners may be the companies that combine taste, data, and execution rather than compute alone.

Sam Badawi

36,607 Aufrufe • vor 5 Monaten

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.

$MSFT is trading at a decade-low valuation because the market is focused on the near-term cost of AI while underpricing Microsoft’s role as one of the most important enterprise AI platforms in the world. The bigger shift is that Microsoft may move from only monetizing users to monetizing work where companies eventually pay not just for employee licenses but for the AI work being performed around each employee. That creates a ton of upside if Microsoft can monetize agents, tokens, workflows, security, governance and productivity across the enterprise stack in the new AI economy.

Shay Boloor

607,101 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 5 Monaten

Breaking down its AI Control Tower feature, Amit Zavery of ServiceNow addresses the enterprise-level need for AI security and governance.

Breaking down its AI Control Tower feature, Amit Zavery of ServiceNow addresses the enterprise-level need for AI security and governance.

NYSE 🏛

75,167 Aufrufe • vor 1 Monat

Crypto investigator Ben McKenzie breaks down the “grift shift”—crypto’s hustlers rebranding as AI companies. He warns about the damage that the shift to AI could bring.

Crypto investigator Ben McKenzie breaks down the “grift shift”—crypto’s hustlers rebranding as AI companies. He warns about the damage that the shift to AI could bring.

VICE News

14,430 Aufrufe • vor 2 Monaten

Good AI governance isn’t about doing everything fast. It’s about understanding what matters before taking action. Most companies rush into AI governance by adding random rules, checklists, and risk assessments. But the smarter approach is to pause first and ask: - What AI systems are we actually using? - Which laws and regulations apply to us? - What risks do we truly care about? - Who are our clients and stakeholders? Because if you skip this clarity step, you’ll keep rebuilding everything later. Read the blog attached to learn more about AI governance layers.

Good AI governance isn’t about doing everything fast. It’s about understanding what matters before taking action. Most companies rush into AI governance by adding random rules, checklists, and risk assessments. But the smarter approach is to pause first and ask: - What AI systems are we actually using? - Which laws and regulations apply to us? - What risks do we truly care about? - Who are our clients and stakeholders? Because if you skip this clarity step, you’ll keep rebuilding everything later. Read the blog attached to learn more about AI governance layers.

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰

20,749 Aufrufe • vor 5 Monaten

AI Governance and The Agentic State

AI Governance and The Agentic State

Greg Reese

65,380 Aufrufe • vor 1 Jahr

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

26,032 Aufrufe • vor 5 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

65,329 Aufrufe • vor 9 Monaten

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

18,565 Aufrufe • vor 5 Monaten

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

12,216 Aufrufe • vor 1 Jahr

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

25,893 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 8 Monaten

The next AI stack isn’t just about better models. It’s about connecting the request, the model decision, and the economics into one system.

The next AI stack isn’t just about better models. It’s about connecting the request, the model decision, and the economics into one system.

Tiffany Fong

28,693 Aufrufe • vor 3 Monaten

Databricks CEO Ali Ghodsi went off on a16z pod about enterprise AI adoption: "They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali says most companies are still just using chatbots. There's hardly any agentic transformation. Why is that? "The models are smart enough, but they just don't have the context that exists inside of any organization." "They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "If you just fused that and gave that context into the AI models...there's so much productivity gains you could get for any organization on the planet." Context Creation is the biggest opportunity in AI right now.

Databricks CEO Ali Ghodsi went off on a16z pod about enterprise AI adoption: "They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali says most companies are still just using chatbots. There's hardly any agentic transformation. Why is that? "The models are smart enough, but they just don't have the context that exists inside of any organization." "They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "If you just fused that and gave that context into the AI models...there's so much productivity gains you could get for any organization on the planet." Context Creation is the biggest opportunity in AI right now.

Mike Fishbein

151,263 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 9 Monaten