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How do you de-risk enterprise AI without choosing between moving fast and getting it right? Most enterprises are solving the wrong problem. At #PegaWorld I built a full retail banking blueprint in minutes and spoke with Pegasystems CPO Kerim Akgonul about what it takes to build AI systems that... show more

Helen Yu

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10,724 次观看 • 1 个月前 •via X (Twitter)

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One CIO burned their entire AI token budget in Q1. That was the opening gut punch at #PegaWorld today. Here are my 3 takeaways from Day 1: 1️⃣Token reality check with Pegasystems CEO Alan Trefler: Most architectures assume tokens are free. That's a design flaw. Pega's approach → spend at design time, reuse workflows, minimize runtime cost. Predictable AI spend by design. 2️⃣The "muffin moment" with Pegasystems CPO Kerim Akgonul: AI drew a muffin with dog ears instead of his dog… Then generated a perfect face just not his. AI is confident, not always correct. Funny in demos. Risky in production. Confidence without traceability = liability at scale. 3️⃣Legacy, redefined (Amazon Web Services + Pegasystems): The bottleneck is understanding. AWS Transform + Pega Blueprint: 3 hrs assess → 3 wks POC → 3 mos production. Speed is table stakes. Engineered reliability is the moat. Check out this 40-second video that captured these moments. #EnterpriseAI #PegaInfinity26 #PegaPartner

One CIO burned their entire AI token budget in Q1. That was the opening gut punch at #PegaWorld today. Here are my 3 takeaways from Day 1: 1️⃣Token reality check with Pegasystems CEO Alan Trefler: Most architectures assume tokens are free. That's a design flaw. Pega's approach → spend at design time, reuse workflows, minimize runtime cost. Predictable AI spend by design. 2️⃣The "muffin moment" with Pegasystems CPO Kerim Akgonul: AI drew a muffin with dog ears instead of his dog… Then generated a perfect face just not his. AI is confident, not always correct. Funny in demos. Risky in production. Confidence without traceability = liability at scale. 3️⃣Legacy, redefined (Amazon Web Services + Pegasystems): The bottleneck is understanding. AWS Transform + Pega Blueprint: 3 hrs assess → 3 wks POC → 3 mos production. Speed is table stakes. Engineered reliability is the moat. Check out this 40-second video that captured these moments. #EnterpriseAI #PegaInfinity26 #PegaPartner

Helen Yu

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AI budgets are in. Projects are moving. Now the business wants to know when it pays off. Arthur Lewis at Dell Technologies World: the enterprises with an answer built the right foundation first. See how we engineer enterprise AI end to end.

AI budgets are in. Projects are moving. Now the business wants to know when it pays off. Arthur Lewis at Dell Technologies World: the enterprises with an answer built the right foundation first. See how we engineer enterprise AI end to end.

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Every once in a while, you have a conversation that lingers, not just because of what’s spoken, but because of how deeply it reframes your thinking. My recent conversation with Vishal Sikka was exactly that. From leading SAP’s HANA revolution and driving Infosys’ transformation to now reimagining enterprise AI at Vianai Systems, Inc., Vishal has lived at the intersection of technology, philosophy and leadership. We spoke about what “enterprise-grade AI” really means in a world obsessed with speed over reliability, why enterprises are more like mangrove forests than machines (intricate, resilient & capable of withstanding shocks) and how India can shape the future of AI through its unique blend of scale, talent and systems thinking. Besides, if there’s anyone who can weave an analogy between mangrove forests and enterprises and make it click, it’s Vishal! These are insights that could only come from someone who has built, led and now re-imagines what the enterprise of the future looks like. Watch the full conversation at And of course, a massive thank you to Vishal for making the time for this conversation!

Every once in a while, you have a conversation that lingers, not just because of what’s spoken, but because of how deeply it reframes your thinking. My recent conversation with Vishal Sikka was exactly that. From leading SAP’s HANA revolution and driving Infosys’ transformation to now reimagining enterprise AI at Vianai Systems, Inc., Vishal has lived at the intersection of technology, philosophy and leadership. We spoke about what “enterprise-grade AI” really means in a world obsessed with speed over reliability, why enterprises are more like mangrove forests than machines (intricate, resilient & capable of withstanding shocks) and how India can shape the future of AI through its unique blend of scale, talent and systems thinking. Besides, if there’s anyone who can weave an analogy between mangrove forests and enterprises and make it click, it’s Vishal! These are insights that could only come from someone who has built, led and now re-imagines what the enterprise of the future looks like. Watch the full conversation at And of course, a massive thank you to Vishal for making the time for this conversation!

Alok Goyal

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In the AI era, the traditional biopharma industry is the underdog. Big tech and AI labs are building wet labs. China has overtaken Europe in molecules produced. But the tools available to the industry discuss science, not do it. The hard problem in AI for science is at the interface between the physical and digital worlds. We built an AI Scientist at that seam. It wires together the digital and physical worlds of R&D. Predictive models, data infrastructure, wet lab execution feed into a single loop that reasons, acts, and improves with every experiment. Our ambition: get molecules to the clinic twice as fast. Last fall I wrote about why biotech needs to be rebuilt for the AI era. Today I'm sharing the next chapter: what the AI Scientist is, a blueprint for how it works, and why even Richard Feynman couldn't hack it in a wet lab.

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Sajith Wickramasekara

30,566 次观看 • 2 个月前

You can legit build your own OpenClaw🦞 from scratch in about 20 minutes with the @GitHub Copilot SDK. And when you build it, you can make it do anything. Here's how to build a personal AI assistant, and how I'm using one today.

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Burke Holland

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Wow. AI agents are here I've been using Manus AI the last week and it actually is insane While at dinner I prompted it to build me a full app. By the end of dinner the app was done In this video I walk through Manus and show you how to build incredible apps (ya, bookmark this)

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Alex Finn

231,889 次观看 • 1 年前

What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model — it will be the infrastructure that delivers data with reliability, security, and visibility. The last mile of AI is becoming a first-class product decision, not just an infrastructure one. Watch the full conversation: Register for AI Virtual Summit (free) #AI #CTO #CIO #EnterpriseAI #Infrastructure #Cybersecurity #F5Partner

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Today we introduced Gemini Enterprise, built with our most advanced Gemini models. It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context. Have a look at how it helps you build an agent for almost anything:

Today we introduced Gemini Enterprise, built with our most advanced Gemini models. It allows you to chat with your company’s documents, data and apps as well as build and deploy AI agents, all grounded in your information and context. Have a look at how it helps you build an agent for almost anything:

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The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever. And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work because it requires the precision and control that your average AI just can’t provide. That’s why today, we’re introducing Stability AI Solutions: A new offering designed to help enterprises scale creative production with generative AI.

Stability AI

14,610 次观看 • 11 个月前

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

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AI is moving fast. And OpenAI's new image model proves it — knowing how to use AI images to your advantage is now crucial for designers. So we teamed up with Nick St. Pierre (The AI Image Master) to walkthrough one of the best AI image generation tools right now, Midjourney, and build a full website using only AI images, in 1 hour. Watch the full breakdown👇

AI is moving fast. And OpenAI's new image model proves it — knowing how to use AI images to your advantage is now crucial for designers. So we teamed up with Nick St. Pierre (The AI Image Master) to walkthrough one of the best AI image generation tools right now, Midjourney, and build a full website using only AI images, in 1 hour. Watch the full breakdown👇

Relume

14,706 次观看 • 1 年前

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤

SpaceX just agreed to buy Cursor for $60 billion. Everyone is talking about the product, the models, the valuation. I’m interested in the human side of this AI story. Who built the team behind one of the fastest-growing software companies in history, and how do they think about talent at the frontier of AI? For the first episode of my new podcast, Below the Surface, I sat down with Adam Ward, Cursor 's Head of Talent, to find out. Before Cursor, Adam helped scale Facebook through its IPO, ran global recruiting at Pinterest from 200 to 2000+ people, and built Growth by Design Talent, the advisory firm behind OpenAI, Anthropic, Stripe, Notion, and Figma … until Cursor acquired it last year. We talked about what hiring looks like when the market is moving this fast, how Cursor does it differently, and what it actually takes to build a high-performance team right now. One of my biggest takeaways: the companies that win in AI won’t just have better models. They’ll have better systems for finding, assessing, and enabling exceptional people. Watch the full episode here: Or subscribe wherever you get podcasts: 🎧 🎤

Joelle Emerson

24,821 次观看 • 24 天前

Anthropic's Chief Economist: "The gap between AI capability and what people actually understand about it is enormous." In 30 minutes he explains how millions of workers are already pasting sensitive company data into AI tools without knowing where it goes. Watch the interview, then save full privacy setup below 👇

Anthropic's Chief Economist: "The gap between AI capability and what people actually understand about it is enormous." In 30 minutes he explains how millions of workers are already pasting sensitive company data into AI tools without knowing where it goes. Watch the interview, then save full privacy setup below 👇

darkzodchi

36,227 次观看 • 1 个月前

How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

Robert Scoble

16,341 次观看 • 7 个月前

The biggest lie in AI is that you need technical expertise to build useful workflows. You don't, and this video proves it. Build your first AI workflow in <10 minutes. I walk you through EXACTLY what to do (no-code):

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Miles Deutscher

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Enterprise developers, first look: Enterprises want AI, but can’t ship it. Why? Compliance risk, legacy systems, red tape. 🎯 Enter Iridius AI — a “Solution Factory” that lets devs + execs co-create full AI apps (not just agents) that are: ✅ Compliant by design ✅ Modular + scalable ✅ Multimodal (text, sketch, convo) ✅ Audit-ready with transparency cards ✅ Plug-in-anywhere (GPT-4o, Gemini, Claude, internal LLMs) 👀 Think Palantir for the AI-native era — but multi-agent, open, and fast. Built by ex-Microsoft, OpenAI forum leads, and startup vets. 💥 Demo: They built a claims automation app live—docs → agents → connectors → BPMN → code → compliance checks → deploy. This is the last mile for enterprise AI. Learn more at

Robert Scoble

60,275 次观看 • 1 年前

Dominion AI (Dominion AI) is a new, Christian-built alternative to mainstream AI models like ChatGPT and Claude. I had a conversation with the founders to learn about why they created it, what it can do, and who it's for. The full interview is now on X. Try Dominion here:

Dominion AI (Dominion AI) is a new, Christian-built alternative to mainstream AI models like ChatGPT and Claude. I had a conversation with the founders to learn about why they created it, what it can do, and who it's for. The full interview is now on X. Try Dominion here:

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18,040 次观看 • 1 个月前