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Taking off with Bombardier! They’re boosting sales productivity using Salesforce #Agentforce + #DataCloud! ✈️✨ With legacy systems grounded, it was tough knowing when customers were ready to buy. Now Data Cloud unifies the data, and Agentforce supercharges the sales teams. 💪🤖 So when it’s time for that new jet,... show more

Marc Benioff

4,244,181 subscribers

24,144 次观看 • 1 年前 •via X (Twitter)

#Agentforce #DataCloud

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Welcome Agentforce Coworker. 🤝 Your new AI teammate is now inside every Salesforce search bar. It doesn’t just find things — it works with you. Agentforce now instantly taps into your CRM data, workflows, customer history, opportunities, and cases… then takes action in real-time. ❌ No copy/paste ❌ No tab hunting ❌ No context switching Just ask. Act. Close faster. 🔥 Plus, build custom agents that run natively in Slack, Teams, and mobile. Available today for every Agentforce customer. We went from internal dog fooding to your hands in record time. The pace at Salesforce is absolutely WILD right now ⚡️Be a Trailblazer — turn yours on today! 👇

Welcome Agentforce Coworker. 🤝 Your new AI teammate is now inside every Salesforce search bar. It doesn’t just find things — it works with you. Agentforce now instantly taps into your CRM data, workflows, customer history, opportunities, and cases… then takes action in real-time. ❌ No copy/paste ❌ No tab hunting ❌ No context switching Just ask. Act. Close faster. 🔥 Plus, build custom agents that run natively in Slack, Teams, and mobile. Available today for every Agentforce customer. We went from internal dog fooding to your hands in record time. The pace at Salesforce is absolutely WILD right now ⚡️Be a Trailblazer — turn yours on today! 👇

Marc Benioff

197,231 次观看 • 3 个月前

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

54,124 次观看 • 1 年前

The brain of #Agentforce is our #Atlas learning and reasoning engine, developed by Salesforce AI Research 🧠 Atlas reasons, generates a plan, evaluates, and refines until it feels confident it knows how to accomplish your goals. It pulls in the data it needs from Data Cloud using advanced #RAG and custom CRM #embeddings. Then Atlas takes action across the Customer 360, whether that’s automating a campaign in Agentforce Marketing, resolving a case in Agentforce Service or, in OpenTable’s case, confirming that perfect dinner reservation for your friend's birthday. The more you use Atlas, the smarter it gets. We've pioneered reinforcement learning based on customer outcomes (#RLCO)— Agentforce is continuously tuning to align with your business outcomes, such as higher conversion and increased CSAT. Your data is never our product, which means your outcome data is proprietary to you. The results we're seeing are incredibly promising. Agentforce powered by Atlas delivers 33% more accuracy and 2x more relevance than DIY AI. It's the difference between a DIY science project and a trusted enterprise-grade agent you can confidently deploy into production. #DF24 #agents #enterprise #reasoning #dreamforcekeynote

The brain of #Agentforce is our #Atlas learning and reasoning engine, developed by Salesforce AI Research 🧠 Atlas reasons, generates a plan, evaluates, and refines until it feels confident it knows how to accomplish your goals. It pulls in the data it needs from Data Cloud using advanced #RAG and custom CRM #embeddings. Then Atlas takes action across the Customer 360, whether that’s automating a campaign in Agentforce Marketing, resolving a case in Agentforce Service or, in OpenTable’s case, confirming that perfect dinner reservation for your friend's birthday. The more you use Atlas, the smarter it gets. We've pioneered reinforcement learning based on customer outcomes (#RLCO)— Agentforce is continuously tuning to align with your business outcomes, such as higher conversion and increased CSAT. Your data is never our product, which means your outcome data is proprietary to you. The results we're seeing are incredibly promising. Agentforce powered by Atlas delivers 33% more accuracy and 2x more relevance than DIY AI. It's the difference between a DIY science project and a trusted enterprise-grade agent you can confidently deploy into production. #DF24 #agents #enterprise #reasoning #dreamforcekeynote

Clara Shih

11,145 次观看 • 1 年前

Claude and ChatGPT can now securely access your Salesforce data 💪 We’re changing how you interact with your sales pipeline When your CRM goes headless: ↳ Instant Answers: Ask Claude for your top Q2 opportunities and pull live pipeline insights directly into your workflow ↳ Built-In Governance: No rebuilding security from scratch. Claude only sees what you have permission to see ↳ Enterprise-Grade Trust: Powered by the exact same sharing model that has protected your customer data—and kept interns out of board-level decks—for 25 years

Claude and ChatGPT can now securely access your Salesforce data 💪 We’re changing how you interact with your sales pipeline When your CRM goes headless: ↳ Instant Answers: Ask Claude for your top Q2 opportunities and pull live pipeline insights directly into your workflow ↳ Built-In Governance: No rebuilding security from scratch. Claude only sees what you have permission to see ↳ Enterprise-Grade Trust: Powered by the exact same sharing model that has protected your customer data—and kept interns out of board-level decks—for 25 years

Salesforce

18,155 次观看 • 22 天前

Last week OpenAI launched ChatGPT Canvas, an interface that displays text, code, and visualization outputs. In the enterprise, we rely on more structured, trusted UX elements -- record details, lists, dropdowns, dashboards. Salesforce Page Layouts and Dynamic Forms control how components are presented, but it's time-consuming and hard to anticipate what data and workflows each user will need. But what if it didn't have to be this way? So excited to share the new Salesforce Generative Lightning UX ⚡️which dynamically generates layouts including tables, charts, news, Lightning components, powered by Agentforce. 🔹 Empowers CRM teams with ready access to essential info and insights, and ability to take action by talking or typing 🔹 Personalized to each user and adapts dynamically to each job to be done 🔹Secure and trusted, respecting data-sharing rules and permissions configured in your Salesforce instance We know AI can generate code, text, and video. Now AI can dynamically generate enterprise UX/UI too. You'll never experience enterprise apps the same again. 🤯 In pilot starting now. Look forward to your feedback so that we can productize next year! Salesforce Research Blog: Generative Lightning on AppExchange: #GenAI #UI #UX #Interfaces #Design #PageLayouts

Last week OpenAI launched ChatGPT Canvas, an interface that displays text, code, and visualization outputs. In the enterprise, we rely on more structured, trusted UX elements -- record details, lists, dropdowns, dashboards. Salesforce Page Layouts and Dynamic Forms control how components are presented, but it's time-consuming and hard to anticipate what data and workflows each user will need. But what if it didn't have to be this way? So excited to share the new Salesforce Generative Lightning UX ⚡️which dynamically generates layouts including tables, charts, news, Lightning components, powered by Agentforce. 🔹 Empowers CRM teams with ready access to essential info and insights, and ability to take action by talking or typing 🔹 Personalized to each user and adapts dynamically to each job to be done 🔹Secure and trusted, respecting data-sharing rules and permissions configured in your Salesforce instance We know AI can generate code, text, and video. Now AI can dynamically generate enterprise UX/UI too. You'll never experience enterprise apps the same again. 🤯 In pilot starting now. Look forward to your feedback so that we can productize next year! Salesforce Research Blog: Generative Lightning on AppExchange: #GenAI #UI #UX #Interfaces #Design #PageLayouts

Clara Shih

123,803 次观看 • 1 年前

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.

We just made the Warp API and MCP completely free. Most HR platforms make you sit through a sales call and a questionnaire just to reach your own data. We think that's backwards. You can pull your entire company and employee data, time off, compensation, payroll, IT, basically anything in Warp. Build your own dashboards. Connect Warp to your internal systems. Run your own automations on top of your data. We built this because our customers are technical and AI-native. They don't want to stare at a dashboard. They want to build on top of their data. Legacy platforms silo it on purpose, and the API, when it exists at all, is a pricey add-on buried behind a sales process. We shipped the API eight weeks ago, and some of our top customers have already built real tools on top of Warp. Today we're removing the last barrier to doing that. If you're an AI-native founder, exec, CIO, or Chief People Officer who's been duct taping this together, the API and MCP are now included free on most plans. On Enterprise, a small fee unlocks the more powerful version with uptime SLAs, webhooks, and audit logs. Your data should be yours. Excited to see what you build with it.

Ayush S

730,614 次观看 • 2 个月前

Do you know the top 3 reasons you're losing deals by ARR? That's the power of Enterpret. When I was a VP of Product at Apollo io, it was a superpower as a product leader. Enterpret allowed us to aggregate: • Sales calls • Support chat • Social media mentions • Customer success interactions And connect that to data in Salesforce and Snowflake to create a holistic look of the issues our customers faced. (And no, this isn't a sponsored post.) It allowed our CPO Shek Viswanthan to drive a company-wide Voice of Customer program that wasn't based on manual tagging or small samples. And it wasn't just restricted to sales prospects. We could connect this to our biggest customer accounts to identify the most likely reasons for churn. So we mobilized all the product teams to rigorously eliminate these top human contact reasons. The results? A more self-serve product ↳ More users solving their problems in the product ↳ Lower support and CSM needs ↳ Higher retention It's no wonder Enterpret has won customers like Notion, Canva, and Figma.

Do you know the top 3 reasons you're losing deals by ARR? That's the power of Enterpret. When I was a VP of Product at Apollo io, it was a superpower as a product leader. Enterpret allowed us to aggregate: • Sales calls • Support chat • Social media mentions • Customer success interactions And connect that to data in Salesforce and Snowflake to create a holistic look of the issues our customers faced. (And no, this isn't a sponsored post.) It allowed our CPO Shek Viswanthan to drive a company-wide Voice of Customer program that wasn't based on manual tagging or small samples. And it wasn't just restricted to sales prospects. We could connect this to our biggest customer accounts to identify the most likely reasons for churn. So we mobilized all the product teams to rigorously eliminate these top human contact reasons. The results? A more self-serve product ↳ More users solving their problems in the product ↳ Lower support and CSM needs ↳ Higher retention It's no wonder Enterpret has won customers like Notion, Canva, and Figma.

Aakash Gupta

11,098 次观看 • 2 年前

We built a B2B SaaS sales company and here’s what it taught us about B2B SaaS sales 🧵👇 (but actually) Today we’re launching Rox, the first publicly available AI agent swarm for the top sales teams, and in the private beta it already helped reps grow their books 30%. 2025 is going to be a huge year for growth. Enterprises are doubling next year’s revenue goals, but no one is doubling team sizes. Every rep will have to bring in more, and AI can help them do that. But there’s a wrong way and a right way. Much of today’s AI aims to replace low-value work. But sales follows a power law: 90% of revenue comes from the top 15% of enterprise sales reps. The greatest gains will come from supercharging the highest value work — raising the ceiling, not the floor. Rox equips the very best with a swarm of AI agents, acting as an army of analysts to help them plan, prioritize, research, engage, and keep up with their customers. Over 35 of the best-performing enterprise sales teams have adopted Rox virally. For example, Ramp has rolled it out to their AE and AM teams, and we are now integrating their internal data systems with Rox. The Enterprise AE team alone gains 225+ hours per week to boost pipeline execution activities. Rox is now in public beta. No barriers. No need to request a demo. Try it now for free →

We built a B2B SaaS sales company and here’s what it taught us about B2B SaaS sales 🧵👇 (but actually) Today we’re launching Rox, the first publicly available AI agent swarm for the top sales teams, and in the private beta it already helped reps grow their books 30%. 2025 is going to be a huge year for growth. Enterprises are doubling next year’s revenue goals, but no one is doubling team sizes. Every rep will have to bring in more, and AI can help them do that. But there’s a wrong way and a right way. Much of today’s AI aims to replace low-value work. But sales follows a power law: 90% of revenue comes from the top 15% of enterprise sales reps. The greatest gains will come from supercharging the highest value work — raising the ceiling, not the floor. Rox equips the very best with a swarm of AI agents, acting as an army of analysts to help them plan, prioritize, research, engage, and keep up with their customers. Over 35 of the best-performing enterprise sales teams have adopted Rox virally. For example, Ramp has rolled it out to their AE and AM teams, and we are now integrating their internal data systems with Rox. The Enterprise AE team alone gains 225+ hours per week to boost pipeline execution activities. Rox is now in public beta. No barriers. No need to request a demo. Try it now for free →

Rox

242,016 次观看 • 1 年前

It was a big day for me. For the FIRST TIME in a long time, I bought more $XRP with the intention of holding it and adding to my long term bag. It’s been tough to want to buy above $2, because I got in so early at $0.17 - $0.50 and packed my bags. The only time i’ve bought more in the past couple years was for the purpose of using it to trade memecoins on the XRPL. Why haven’t I bought more? Because I was stacking my bags with other tokens and expanding my portfolio!

It was a big day for me. For the FIRST TIME in a long time, I bought more $XRP with the intention of holding it and adding to my long term bag. It’s been tough to want to buy above $2, because I got in so early at $0.17 - $0.50 and packed my bags. The only time i’ve bought more in the past couple years was for the purpose of using it to trade memecoins on the XRPL. Why haven’t I bought more? Because I was stacking my bags with other tokens and expanding my portfolio!

MASON VERSLUIS

65,617 次观看 • 7 个月前

a new vmin trainee days story🥺😭 🐥: during trainee days, i bought pants with tae for the first time. From the money we got from appearing as dancers in mv’s 🐥: i saved up and got pants and tae said, 'it’s so pretty' and i bought it. They were a bit tight, so i was like, 'aren’t they a bit small?' but he kept saying, 'no, it’s pretty!' 🧸: 😂 🐥: when i got home, the hyungs said, 'why did u buy it?' and tae was right next to me saying 'i told u not to buy it!'😆

a new vmin trainee days story🥺😭 🐥: during trainee days, i bought pants with tae for the first time. From the money we got from appearing as dancers in mv’s 🐥: i saved up and got pants and tae said, 'it’s so pretty' and i bought it. They were a bit tight, so i was like, 'aren’t they a bit small?' but he kept saying, 'no, it’s pretty!' 🧸: 😂 🐥: when i got home, the hyungs said, 'why did u buy it?' and tae was right next to me saying 'i told u not to buy it!'😆

vmin bubble

1,070,875 次观看 • 8 个月前

James Vowles back at LVGP explaining understanding data and having engineering competence is now a fundamental part of being fast in F1, and giving an example of how Carlos excels at it ✨ “In the case of what we are talking about there, it’s, Carlos was back with our aerodynamicists, 15 aerodynamicist when i found him, surrounded by them and they were going through the car data, it was about 50 thousands channel of data and 2 cars on 1,000 channels of data” “He was really boiling it down to; ‘at this point here, exactly when I’m turning, tell me what happens with your floor pressure sensors’ it’s about 200 of them, and that level of detail and way of working is a complete change of where it was just five years ago” “And it’s data at the core, but with humans able to really hone in on where we should be looking” 📹tayloraduffy

James Vowles back at LVGP explaining understanding data and having engineering competence is now a fundamental part of being fast in F1, and giving an example of how Carlos excels at it ✨ “In the case of what we are talking about there, it’s, Carlos was back with our aerodynamicists, 15 aerodynamicist when i found him, surrounded by them and they were going through the car data, it was about 50 thousands channel of data and 2 cars on 1,000 channels of data” “He was really boiling it down to; ‘at this point here, exactly when I’m turning, tell me what happens with your floor pressure sensors’ it’s about 200 of them, and that level of detail and way of working is a complete change of where it was just five years ago” “And it’s data at the core, but with humans able to really hone in on where we should be looking” 📹tayloraduffy

ari 🦄✨

59,781 次观看 • 8 个月前

🚨 AMAZON IS DOWN - AND WORKERS THINK THE “KILL SWITCH” JUST GOT FLIPPED An Amazon employee recorded this during the outage: “It’s been three hours. No info. Nothing.” “I believe in the kill switch. They’re just testing it out to see if it works. and it does, it’s working.” “They’re cleansing us right now from everything.” Normally when systems crash, Amazon offers VTO (Voluntary Time Off) so people can go home. This time? No VTO. No answers. Everyone kept inside. If Amazon really runs the backbone of the internet… what happens when someone flips that switch for real?

🚨 AMAZON IS DOWN - AND WORKERS THINK THE “KILL SWITCH” JUST GOT FLIPPED An Amazon employee recorded this during the outage: “It’s been three hours. No info. Nothing.” “I believe in the kill switch. They’re just testing it out to see if it works. and it does, it’s working.” “They’re cleansing us right now from everything.” Normally when systems crash, Amazon offers VTO (Voluntary Time Off) so people can go home. This time? No VTO. No answers. Everyone kept inside. If Amazon really runs the backbone of the internet… what happens when someone flips that switch for real?

HustleBitch

4,594,186 次观看 • 10 个月前

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Major program launch: Data Analytics Professional Certificate! This large, five-course sequence takes you all the way to being job-ready as a data analyst, and shows how to use Generative AI as a thought partner to enhance your work in this role. Offered by on Coursera, this is taught by Sean Barnes, Ph.D., a Data Science & Engineering Leader at Netflix. Analyzing data remains one of the most important skills in where the world is going with AI. This comprehensive certificate takes you all the way to being job-ready. Each course comes with practical projects demonstrated in real-world contexts, such as analyzing sales data for a Korean bakery, video game sales trends across different regions, or identifying factors impacting customer retention for a communications company. You'll also work on estimating fire distribution for forest fire prevention, analyzing how a diamond's properties affect its market value, and developing predictive models for retail sales analysis, carbon emissions, and coral reef conservation. Here's some of what you'll learn: - How to define data and categorize it into its many types such as discrete & continuous numerical, structured & unstructured, time series, categorical, and know what insights can be derived from the different types of data categories. - How to differentiate between data-related job roles and their responsibilities, and how data flows through an organization from the moment of capture to decision-making. - How to perform data processing functions and apply conditional formatting in spreadsheets to extract business value from your data using statistical calculations and best practices for visualizing and interpreting data. - How to use LLMs for stakeholder analysis, data exploration, and data visualization. - Best practices for using LLMs for as a thought partner to data analysis work By the end of this professional certificate program, you will have learned core statistical concepts, analysis techniques, and visualization methodologies that will serve as the foundation for working as a data analyst. The world needs more data analysts, especially ones who know how to use modern generative AI. With data science roles projected to grow 36% by 2033, the skills taught in this program create new professional opportunities in data. Sign up here!

Andrew Ng

85,012 次观看 • 1 年前

Yesterday I met with a $100M brand completely swamped trying to build AI agents. They were duct taping together N8n, Gumloop, Make, Lindy and Zapier hoping it would help automate. Here’s the thing: Those tools are great but only if your data is clean, connected, and actually usable by AI. For example you can’t build a real media buying agent if it doesn’t know: – What’s in stock – What your customers LTV – How your sales change by season Triple Whale brings all of your data into one place. So when you ask our AI a question, it doesn’t guess because it already has the data. And it knows how to use it. We’ve spent 920 days and hired 72 full-time engineers to build the most advanced data layer in ecom designed for AI from day one. Wallaroo Media figured it out👇 They dropped every other platform for Triple Whale. ❌ No more scattered agents ❌ No more platform-hopping ✅ Better answers, better automations, better results Shout out to Justin Doyle and the whole Wallaroo team for the incredible partnership!

Maxx Blank 🐳

47,002 次观看 • 1 年前

Some of you will be old enough to remember this. Defragging - and it actually did serve a purpose. It was essential for optimizing slow, mechanical hard drives by rearranging scattered data into contiguous blocks. By doing so increased data load times (since the physical head of the hard drive didn't have to move that much). However, what I remember most was the almost hypnotical satisfaction of seeing all those little blocks flashing, being organized, and just "knowing" that it was good for my computer. In times when you fiddled around with autoxec.bat and config.sys, when every little Kilobyte of RAM mattered, and when hard drives were measured in Megabytes, not Terrabytes, the weekly routine of defragging almost felt like cleaning up your room.

Some of you will be old enough to remember this. Defragging - and it actually did serve a purpose. It was essential for optimizing slow, mechanical hard drives by rearranging scattered data into contiguous blocks. By doing so increased data load times (since the physical head of the hard drive didn't have to move that much). However, what I remember most was the almost hypnotical satisfaction of seeing all those little blocks flashing, being organized, and just "knowing" that it was good for my computer. In times when you fiddled around with autoxec.bat and config.sys, when every little Kilobyte of RAM mattered, and when hard drives were measured in Megabytes, not Terrabytes, the weekly routine of defragging almost felt like cleaning up your room.

exQUIZitely 🕹️

537,023 次观看 • 7 个月前