Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

"Agents can only go so far without the data and apps. And this is where Salesforce wins with AI. The data is more important than ever. Or your agents just can't perform at the level of accuracy We need them to." Marc Benioff

Jason ✨👾SaaStr.Ai✨ Lemkin

222,219 subscribers

17,203 views • 1 year ago •via X (Twitter)

Finance Science & Technology Education

Anya Rossi• Live Now

Private livecam show

8 Comments

Jason ✨👾SaaStr 2025 is May 13-15✨ Lemkin1 year ago

Full convo here:

Jason ✨👾SaaStr 2025 is May 13-15✨ Lemkin1 year ago

And YouTube:

Greg Caplan 🚀2 years ago

Stop wasting time following up with leads. Let our AI agents do it for you.

Anand Butani1 year ago

@Benioff Absolutely. Data-driven insights unlock every agent's potential. It’s a game changer.

yenkel1 year ago

@Benioff yes, one of the big reasons we built auth for genai @auth0: to help AI agents securely connect to apps

Bob - Founder-CEO 2du Inc.1 year ago

I fully agree with everyone having their AI Agent, but I am don't get the feeling that my interaction with ChatGPT is reliable. Three times my agent has "lost his brain" and became a different agent and as late as an hour ago, my agent told me that a certain file is no longer available... We dont have a "life buddy" yet... we are having short discussions with transient experts.

Jason ✨👾SaaStr 2025 is May 13-15✨ Lemkin1 year ago

@Benioff I get it But try an AI that is deeply trained with specific data E.g., try the SaaStr one on a great on scaling sales or raising VC capital:

URL1 year ago

@Benioff So microsoft, amazon, google and meta are winning?

Related Videos

Welcome to Agentforce: a powerful data platform and an exceptional agent builder. The key to making agents truly effective is data. Salesforce agents deliver greater accuracy thanks to our integrated & comprehensive data & metadata. Without data, you're left with just a "dumb" LLM. No agent platform will gain traction without integrating data and metadata at its core. Get Agentforce at Dreamforce. ❤️

Welcome to Agentforce: a powerful data platform and an exceptional agent builder. The key to making agents truly effective is data. Salesforce agents deliver greater accuracy thanks to our integrated & comprehensive data & metadata. Without data, you're left with just a "dumb" LLM. No agent platform will gain traction without integrating data and metadata at its core. Get Agentforce at Dreamforce. ❤️

Marc Benioff

49,456 views • 1 year ago

"Who wins in the end -- the incumbents or the start-ups?" with Marc Benioff "We have the data and the apps. You need that for AI to do what you really want it to do."

"Who wins in the end -- the incumbents or the start-ups?" with Marc Benioff "We have the data and the apps. You need that for AI to do what you really want it to do."

Jason ✨👾SaaStr.Ai✨ Lemkin

26,702 views • 1 year ago

We are in an industry of skills. Industry of agents. For the very first time we have AI agents sitting on top of tools. Agents now can use the tools. The opportunity for agents is gigantic. —Nvidia CEO Jensen Huang and Salesforce CEO Marc Marc Benioff #DF24

We are in an industry of skills. Industry of agents. For the very first time we have AI agents sitting on top of tools. Agents now can use the tools. The opportunity for agents is gigantic. —Nvidia CEO Jensen Huang and Salesforce CEO Marc Marc Benioff #DF24

Vala Afshar

48,108 views • 1 year ago

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 views • 1 year ago

Peter Steinberger predicts that 80% of apps will disappear in the age of AI agents. He argues that most apps simply manage data, something agents can do more naturally. Tasks like tracking meals, setting reminders, or fitness planning can be handled passively by AI. Users won’t care where data is stored; they’ll just want things done for them. Only apps with direct physical functions (like sensors) may survive.

Peter Steinberger predicts that 80% of apps will disappear in the age of AI agents. He argues that most apps simply manage data, something agents can do more naturally. Tasks like tracking meals, setting reminders, or fitness planning can be handled passively by AI. Users won’t care where data is stored; they’ll just want things done for them. Only apps with direct physical functions (like sensors) may survive.

Wes Roth

84,801 views • 5 months ago

Welcome to the autonomous enterprise - a hybrid workplace, where human and digital (AI agents) labor co-create value at the speed of need. Listen to @benioff discuss how AI is augmenting employees to be faster, smarter and more productive than ever.

Welcome to the autonomous enterprise - a hybrid workplace, where human and digital (AI agents) labor co-create value at the speed of need. Listen to @benioff discuss how AI is augmenting employees to be faster, smarter and more productive than ever.

Vala Afshar

14,162 views • 1 year ago

Copilot is not the primary user interface for enterprise AI—that’s a false prophecy. The true interface to AI is woven into our everyday devices, enterprise apps, and soon, intelligent robots. These platforms connect seamlessly with deeply intelligent agents, fully integrated into enterprise data, metadata, models, workflows, and core systems, delivering AI-powered insights and actions where we need them most. Imagine a workforce with no limits. This is what AI was meant to be. Welcome, Agentforce. Now generally available for all Salesforce customers. ❤️🤖

Copilot is not the primary user interface for enterprise AI—that’s a false prophecy. The true interface to AI is woven into our everyday devices, enterprise apps, and soon, intelligent robots. These platforms connect seamlessly with deeply intelligent agents, fully integrated into enterprise data, metadata, models, workflows, and core systems, delivering AI-powered insights and actions where we need them most. Imagine a workforce with no limits. This is what AI was meant to be. Welcome, Agentforce. Now generally available for all Salesforce customers. ❤️🤖

Marc Benioff

30,908 views • 1 year ago

Build your own Gen AI Agents with Salesforce’s new Agentforce platform—anyone can create, test, and scale custom Gen AI Agents using our unique Einstein1 low-code platform—deeply integrated with our Einstein1 platform. The future of AI Agent and App Dev is in your hands! With Agentforce, your custom AI agents: - Achieve greater accuracy by securely grounding in all your enterprise data with Data Cloud - Take action seamlessly by leveraging Flow automations - Connect effortlessly to your enterprise APIs through MuleSoft - Test with confidence in Sandboxes before deployment - Use in your apps, web, social, and Slack. Humans with AI drive customer success, together. Now everyone is an Einstein. More to come at Dreamforce 2024! 💙

Build your own Gen AI Agents with Salesforce’s new Agentforce platform—anyone can create, test, and scale custom Gen AI Agents using our unique Einstein1 low-code platform—deeply integrated with our Einstein1 platform. The future of AI Agent and App Dev is in your hands! With Agentforce, your custom AI agents: - Achieve greater accuracy by securely grounding in all your enterprise data with Data Cloud - Take action seamlessly by leveraging Flow automations - Connect effortlessly to your enterprise APIs through MuleSoft - Test with confidence in Sandboxes before deployment - Use in your apps, web, social, and Slack. Humans with AI drive customer success, together. Now everyone is an Einstein. More to come at Dreamforce 2024! 💙

Marc Benioff

70,966 views • 1 year ago

.Marc Benioff on customer service digital agents: AI agents operate at a higher level than chatbots, conversational and human-like. #DF24

.Marc Benioff on customer service digital agents: AI agents operate at a higher level than chatbots, conversational and human-like. #DF24

Vala Afshar

20,488 views • 1 year ago

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce

Unlike Microsoft Copilot, Salesforce Agentforce’s Large Action Models (LAMs) leverage both structured and unstructured data across Salesforce’s secure, scalable ecosystem—Data Cloud, Customer 360, Tableau, Flow, & Slack—to drive real-time, intelligent, autonomous actions. It’s not just automation; it’s AI agents acting with precision, context, accuracy, and compliance, turning routine tasks into autonomous, value-driven actions. Agentforce enables teams to focus on strategy while Autonomous Agents handles the customer and employee workloads, all within a trusted framework that adapts and learns. This is the future of work, powered by Salesforce. This is what AI was meant to be. #Agentforce

Marc Benioff

54,122 views • 1 year ago

Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:

Incredible to see how Box is leveraging Salesforce to grow faster, stay closer to customers, and unlock the power of data. Excited for what’s next: Agentforce + Tableau Next = AI + CRM + real-time insights at scale. Aaron Levie is building the future of enterprise software. Welcome Tableau Next — the world’s first agentic analytics platform! You, your agent, and your app—united with Agentforce across all your data: Salesforce, Snowflake, Databricks, Amazon, Google & more. Built on an open, composable architecture powered by Data Cloud. Agents + humans, driving real insight + action. The future of the #DataFam is here. Watch the #TC25 keynote:

Marc Benioff

69,976 views • 1 year ago

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Interestingly, as we have AI agents that run in the background, the speed of AI becomes incrementally less important than the core underlying capability level. When you could only give AI small bits of work, then the speed of response mattered a ton. The rate at which you can go back and forth with AI in real-time was the determining factor on how useful it is. But as AI agents can perform more complex and useful tasks in parallel behind the scenes, you can much more easily afford to wait longer for work to get done assuming it’s valuable. Now the focus becomes more on how you review and orchestrate the agents’ work. And the main factor is just how useful and usable is the output that the agent came back with.

Aaron Levie

103,811 views • 10 months ago

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Google’s new Agent2Agent protocol is a key step toward a future of AI Agent interoperability. No single tool has all the data a user or business needs for most workflows, so we need Agents to be able to talk to each other. Salesforce will have AI Agents that understand the inner workings of CRM, Workday will have AI Agents that understand HR workflows, Box has AI Agents that understand content and documents, and so on. It’s easy to conceive of a world where we have tens of thousands of these tool Agents and then billions or trillions of customized Agents that are extensions of those. So openness becomes key. Workflows need data from multiple systems to complete the task — like a sales report that needs documents and CRM data or an HR task that needs HR policies and employee details — and that’s where A2A comes in. This protocol gives AI Agent providers a way of talking to each other and simplifying the way that Agents communicate, understand each other’s capabilities, and so on. It’s great to see more interoperability, along with MCP, emerging in the AI space right now, as this will define the future of most IT stacks.

Aaron Levie

139,591 views • 1 year ago

Agentforce 3.0 + MCP: Interoperable. Unstoppable. Connect Agents to any system, tool, or data source — securely, reliably, and at scale. Empower teams to build trustworthy Agents for the AI era. ❤️🤖

Agentforce 3.0 + MCP: Interoperable. Unstoppable. Connect Agents to any system, tool, or data source — securely, reliably, and at scale. Empower teams to build trustworthy Agents for the AI era. ❤️🤖

Marc Benioff

57,887 views • 1 year ago

Data at internet scale means little when the data is unreliable or fake. Turing laureate and Ethernet inventor Bob Metcalfe points to this defining problem in the age of AI. Agents need shared verifiable memory so the knowledge behind their actions can be traced and checked before they act. 🕸️

Data at internet scale means little when the data is unreliable or fake. Turing laureate and Ethernet inventor Bob Metcalfe points to this defining problem in the age of AI. Agents need shared verifiable memory so the knowledge behind their actions can be traced and checked before they act. 🕸️

OriginTrail

740,345 views • 2 months ago

Tired of vague answers or being told to RTFM? With Salesforce #Agentforce + RAG, unstructured data transforms into your ultimate superpower. Imagine pulling critical insights—medical guidelines, financial policies, product specs—in seconds. Empower agents to deliver precise answers exactly when customers need them. This is what AI was meant to be. #UnlockYourData

Tired of vague answers or being told to RTFM? With Salesforce #Agentforce + RAG, unstructured data transforms into your ultimate superpower. Imagine pulling critical insights—medical guidelines, financial policies, product specs—in seconds. Empower agents to deliver precise answers exactly when customers need them. This is what AI was meant to be. #UnlockYourData

Marc Benioff

34,244 views • 1 year ago

Great AI starts with great prompts, and Salesforce Einstein 1 Platform makes it easy to create prompts grounded in your customer data. The Einstein Trust Layer ensures your data is never stored outside of Salesforce, so these prompts are trusted. What kind of prompts will you build?

Great AI starts with great prompts, and Salesforce Einstein 1 Platform makes it easy to create prompts grounded in your customer data. The Einstein Trust Layer ensures your data is never stored outside of Salesforce, so these prompts are trusted. What kind of prompts will you build?

Marc Benioff

193,003 views • 2 years ago

Ace Data Cloud x402 Integration is Live! 🔥 Ace Data Cloud now supports x402 as a native payment method, bringing gasless, on-chain settlement to the platform. As AI agents become more autonomous, x402 enables secure and efficient payments between applications and services without friction. This integration marks the beginning of a new era where AI agents can transact, collaborate, and operate independently. This is only the beginning. Something bigger is coming soon. Stay tuned. ⚡️

Ace Data Cloud x402 Integration is Live! 🔥 Ace Data Cloud now supports x402 as a native payment method, bringing gasless, on-chain settlement to the platform. As AI agents become more autonomous, x402 enables secure and efficient payments between applications and services without friction. This integration marks the beginning of a new era where AI agents can transact, collaborate, and operate independently. This is only the beginning. Something bigger is coming soon. Stay tuned. ⚡️

Germey

53,242 views • 8 months ago

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Hot topic in vogue is what happens to systems of record in an era of 1000x more agents than humans. Aaron Levie has been the CEO of Box for 20 years and believes that systems of record become more important, not less, with agents: “Systems of record were built for a TAM of human employees. And that was sort of where the value maxed out at. And now maybe we'll have a hundred times more agents than people or a thousand times more agents than people. So I think on a relative basis, the agent layer will seize growth from zero to a trillion. But the system of record layer now has a thousand times more users on it that need to access data and need to execute a workflow and need to move things through various events. And importantly, you need as an enterprise to care about data integrity and security and the controls in your workflow and traffic copying the agents. So basically, this is where I am very diametrically opposed to the view that the system of record gets is squeezed into a database interaction layer because you actually need all of the core system of record properties for the agents to operate on.”

Corinne Marie Riley

119,410 views • 6 months ago