正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

$SNOW doesn't need to know whether usage is coming from a human analyst or an AI agent but just needs more workloads running through the platform. Thats why Snowflake is trying to become the governed data layer where enterprise data, AI models, applications & workflows all come together.

Shay Boloor

428,369 subscribers

60,355 次观看 • 1 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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.

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 次观看 • 2 个月前

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows

Shay Boloor

397,599 次观看 • 2 个月前

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 次观看 • 4 个月前

Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate, without blocking on engineering. Every VP of Data and CIO is trying to figure out how to lock down their data, harden their permissions, and gain centralized visibility. That’s exactly what this partnership unlocks. Superblocks becomes the enterprise platform for governed vibe coding across business teams, deeply embedded within Snowflake: > Snowflake Postgres becomes your secure vibe coding database. Superblocks spins it up in every app for fast writes and net new operational workflow data >Snowflake Cortex becomes the inference engine for Superblocks. Your prompts and vibe coded AI features run within your trusted security perimeter >Snowflake Warehouse governance is enforced. AI apps use federated token passthrough so your existing row level access policies, dynamic data masking, tag-based-access controls are respected “With Superblocks on Snowflake, any business team can safely build AI applications governed on their Snowflake data. It’s a dream come true.” -Unmesh Jagtap, Director of Product, Snowflake Now enterprises can stop playing whack-a-mole, and move your organization past the AI prototype graveyard. If you’re a Snowflake customer, book a demo (link in comments) Thanks to the Snowflake team for the partnership: Christian Kleinerman, Vivek Raghunathan, Bala Kasiviswanathan, Unmesh Jagtap, and Myles Borins for helping shape how the industry democratizes governed AI app development while centralizing control on the AI Data Cloud.

Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate, without blocking on engineering. Every VP of Data and CIO is trying to figure out how to lock down their data, harden their permissions, and gain centralized visibility. That’s exactly what this partnership unlocks. Superblocks becomes the enterprise platform for governed vibe coding across business teams, deeply embedded within Snowflake: > Snowflake Postgres becomes your secure vibe coding database. Superblocks spins it up in every app for fast writes and net new operational workflow data >Snowflake Cortex becomes the inference engine for Superblocks. Your prompts and vibe coded AI features run within your trusted security perimeter >Snowflake Warehouse governance is enforced. AI apps use federated token passthrough so your existing row level access policies, dynamic data masking, tag-based-access controls are respected “With Superblocks on Snowflake, any business team can safely build AI applications governed on their Snowflake data. It’s a dream come true.” -Unmesh Jagtap, Director of Product, Snowflake Now enterprises can stop playing whack-a-mole, and move your organization past the AI prototype graveyard. If you’re a Snowflake customer, book a demo (link in comments) Thanks to the Snowflake team for the partnership: Christian Kleinerman, Vivek Raghunathan, Bala Kasiviswanathan, Unmesh Jagtap, and Myles Borins for helping shape how the industry democratizes governed AI app development while centralizing control on the AI Data Cloud.

Brad Menezes

12,869 次观看 • 2 个月前

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:

We’re expanding our strategic partnership with Microsoft to: ⚡ Deliver OpenAI’s state-of-the-art models in Snowflake Cortex AI on Microsoft Microsoft Azure. Customers will soon be able to build AI-powered data agents to run analytical workflows on structured and unstructured data using OpenAI’s models. ⚡ Make Snowflake Cortex Agents available in Microsoft 365 Copilot and Microsoft 365 apps, ensuring AI insights become more accessible for users and enabling better decision-making across the enterprise. Learn more about how we’re bringing easy, efficient, and trusted AI to enterprises around the world:

Snowflake

11,011 次观看 • 1 年前

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

Today, Story becomes The DATA Foundation. $IP is now $DATA. The Story Network is now DATA Network, tracking 1B+ data records with a singular mission: to become the trust layer for all AI training data. Welcome to The DATA Foundation.

The DATA Foundation

358,375 次观看 • 18 天前

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

Neurochain.AI

105,340 次观看 • 2 年前

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026

Bharat is investing across the full AI value chain! ➡️From applications & models to semiconductor chips, data centres, and energy - every layer of the AI stack is being strengthened. 📍Rajasthan Regional AI Impact Conference 2026

Ashwini Vaishnaw

43,080 次观看 • 6 个月前

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

Marc Benioff

44,727 次观看 • 1 年前

💥 Nexus is LIVE! Your data. Your AI. Finally connected. Ask questions about your data, build powerful agents, and automate workflows — all in one platform. This is where AI gets real: from insight to action 👇 #RealStartsHere #NexusLive

💥 Nexus is LIVE! Your data. Your AI. Finally connected. Ask questions about your data, build powerful agents, and automate workflows — all in one platform. This is where AI gets real: from insight to action 👇 #RealStartsHere #NexusLive

Nuklai

47,908 次观看 • 11 个月前

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

Data is the foundation of any AI training. All of the GPUs in the world can't train an AI model if they don't have data to train it on. Don't forget: Grass is the data layer of AI.

Grass

211,934 次观看 • 2 年前

$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

36,546 次观看 • 1 个月前

Larry Ellison basically explained why OpenAI is positioned to win the AI race. Today’s models all trained on the same thing: public data. The internet. Books. Papers. General knowledge. Impressive, but capped. Ellison’s point: peak value only comes when AI is trained on private data. That’s where OpenAI is moving: • partnerships with universities to work with unpublished research • experts teaching models real job tasks, not just theory • deep access to how science, medicine, law, and finance actually work Public data makes AI smart. Private data makes it decisive. The next AI leap won’t come from reading more of the internet. It’ll come from being invited behind the curtain. That’s the real moat.

Larry Ellison basically explained why OpenAI is positioned to win the AI race. Today’s models all trained on the same thing: public data. The internet. Books. Papers. General knowledge. Impressive, but capped. Ellison’s point: peak value only comes when AI is trained on private data. That’s where OpenAI is moving: • partnerships with universities to work with unpublished research • experts teaching models real job tasks, not just theory • deep access to how science, medicine, law, and finance actually work Public data makes AI smart. Private data makes it decisive. The next AI leap won’t come from reading more of the internet. It’ll come from being invited behind the curtain. That’s the real moat.

VraserX e/acc

167,043 次观看 • 6 个月前

Siloed data is stalling your AI. The Dell AI Data Platform with NVIDIA helps you discover, prepare, and activate enterprise data — so your AI actually delivers. ⚡

Siloed data is stalling your AI. The Dell AI Data Platform with NVIDIA helps you discover, prepare, and activate enterprise data — so your AI actually delivers. ⚡

Dell Technologies

17,912 次观看 • 3 个月前

Coming soon: $AI gensyn, the network for machine intelligence, is an open infrastructure layer for AI. It provides infrastructure AI needs to operate at scale: compute, data, and information exchange. Get ready →

Coming soon: $AI gensyn, the network for machine intelligence, is an open infrastructure layer for AI. It provides infrastructure AI needs to operate at scale: compute, data, and information exchange. Get ready →

Kraken Listings

53,061 次观看 • 2 个月前

Strong Q1 for Snowflake. ❄️ $1.33B product revenue, up 34% YoY. Accelerating from 30% last quarter and 26% a year ago. AI is strengthening Snowflake on multiple levels: → core platform growth accelerating as customers get their data AI-ready → AI products Snowflake Intelligence and CoCo seeing rapid adoption → use of AI products increasing overall platform consumption This is the flywheel of the Agentic Enterprise.

Strong Q1 for Snowflake. ❄️ $1.33B product revenue, up 34% YoY. Accelerating from 30% last quarter and 26% a year ago. AI is strengthening Snowflake on multiple levels: → core platform growth accelerating as customers get their data AI-ready → AI products Snowflake Intelligence and CoCo seeing rapid adoption → use of AI products increasing overall platform consumption This is the flywheel of the Agentic Enterprise.

sridhar

26,385 次观看 • 1 个月前

🚀 Introducing the AI Alliance: Shaping the Future of AI and Data Security We’re proud to unveil the AI Alliance, a collaboration of expert teams from ARC, DMAIL.AI and XAlpha AI Agent to name a few, who are working together to drive innovation in AI and data security. By leveraging the power of LLMs (Large Language Models), we’re building the foundation for future AI applications. 🌐✨ 💡 This is just the beginning! Stay tuned for more insights and updates from this recently held AI Alliance AMA. We’ll dive deeper into how these teams are helping to shape the future of AI.

🚀 Introducing the AI Alliance: Shaping the Future of AI and Data Security We’re proud to unveil the AI Alliance, a collaboration of expert teams from ARC, DMAIL.AI and XAlpha AI Agent to name a few, who are working together to drive innovation in AI and data security. By leveraging the power of LLMs (Large Language Models), we’re building the foundation for future AI applications. 🌐✨ 💡 This is just the beginning! Stay tuned for more insights and updates from this recently held AI Alliance AMA. We’ll dive deeper into how these teams are helping to shape the future of AI.

ARC

20,658 次观看 • 1 年前

The French startup, Mistral AI unveils Forge, a platform enabling enterprises to build AI models grounded in their own data, workflows, and systems. Not generic AI, but tailored intelligence. ASML, ESA, Ericsson already onboard. Europe is stepping up 🇪🇺

The French startup, Mistral AI unveils Forge, a platform enabling enterprises to build AI models grounded in their own data, workflows, and systems. Not generic AI, but tailored intelligence. ASML, ESA, Ericsson already onboard. Europe is stepping up 🇪🇺

Frid 🇪🇺🦌

105,617 次观看 • 3 个月前

I just watched an AI agent operate my Mac like a real human. This AI agent responded to candidates' emails and scheduled Zoom meetings, all from a plain English prompt. Skip the Zapier spaghetti. This is agentic AI; you need to know about:

I just watched an AI agent operate my Mac like a real human. This AI agent responded to candidates' emails and scheduled Zoom meetings, all from a plain English prompt. Skip the Zapier spaghetti. This is agentic AI; you need to know about:

Shruti

36,489 次观看 • 1 年前

Enterprise AI hits its ceiling at the data layer. Storage bandwidth, data orchestration, and GPU efficiency are where the token economy is actually won or lost. Patrick Moorhead and Daniel Newman sat down with Dell Technologies ISG CTO Ihab Tarazi and Jason Hardy VP NVIDIA at Dell Technologies World 2026, to break down the Dell AI Data Platform, Exascale Storage, and what co-engineering actually means for enterprise AI at scale.

Enterprise AI hits its ceiling at the data layer. Storage bandwidth, data orchestration, and GPU efficiency are where the token economy is actually won or lost. Patrick Moorhead and Daniel Newman sat down with Dell Technologies ISG CTO Ihab Tarazi and Jason Hardy VP NVIDIA at Dell Technologies World 2026, to break down the Dell AI Data Platform, Exascale Storage, and what co-engineering actually means for enterprise AI at scale.

Six Five Media

91,546 次观看 • 1 个月前