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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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10,736 views • 2 months ago •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

12,317 views • 2 months ago

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.

Dell Technologies

6,506,465 views • 3 months ago

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

28,475 views • 10 months ago

i just cracked the code on ai digital products... every product costs $0 to build and takes under 2 minutes to make. i built an ai agent that turns any niche into a ready-to-export digital product in whatever format you want, pdf, notion template, ebook, guide, you name it. drop in your niche and one problem. the system analyzes demand, maps buyer desires, builds you the full product, and you watch it happen in real time. then the agent gives you the path, what to do next, rates each module, edits everything, practically sells it for you. you just follow it. i'm making full end-to-end products in under 2 minutes with this system. so i packaged the whole thing up. you're getting an ai that: - picks your niche - calculates demand - builds the product in any format - gives you the selling blueprint to go with it. rt + reply "product" and i'll show you how to access (must be following so i can dm)

i just cracked the code on ai digital products... every product costs $0 to build and takes under 2 minutes to make. i built an ai agent that turns any niche into a ready-to-export digital product in whatever format you want, pdf, notion template, ebook, guide, you name it. drop in your niche and one problem. the system analyzes demand, maps buyer desires, builds you the full product, and you watch it happen in real time. then the agent gives you the path, what to do next, rates each module, edits everything, practically sells it for you. you just follow it. i'm making full end-to-end products in under 2 minutes with this system. so i packaged the whole thing up. you're getting an ai that: - picks your niche - calculates demand - builds the product in any format - gives you the selling blueprint to go with it. rt + reply "product" and i'll show you how to access (must be following so i can dm)

MONTE

15,918 views • 1 month ago

#IBMPartner Are you measuring AI by developer productivity or by business capacity? That's a question more CIOs and CFOs are beginning to ask. Enterprise AI creates value by modernizing legacy systems, reducing risk, preserving institutional knowledge, and expanding business capacity. My conversation with Christina Adames, AI Practice Strategy Lead at CDW Corporation, discussed how CDW Corporation and IBM are approaching enterprise AI through Bob, not simply as a coding assistant, but as a platform for software modernization. Watch the full CXO Spice conversation: Learn more about Partner Plus here: #EnterpriseAI #AITransformation #CIO #CFO

#IBMPartner Are you measuring AI by developer productivity or by business capacity? That's a question more CIOs and CFOs are beginning to ask. Enterprise AI creates value by modernizing legacy systems, reducing risk, preserving institutional knowledge, and expanding business capacity. My conversation with Christina Adames, AI Practice Strategy Lead at CDW Corporation, discussed how CDW Corporation and IBM are approaching enterprise AI through Bob, not simply as a coding assistant, but as a platform for software modernization. Watch the full CXO Spice conversation: Learn more about Partner Plus here: #EnterpriseAI #AITransformation #CIO #CFO

Helen Yu

12,579 views • 1 month ago

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.

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.

Sajith Wickramasekara

30,767 views • 4 months ago

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.

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.

Burke Holland

26,933 views • 5 months ago

Sam Altman: "One person who knows how to use AI can do a week of work in 20 minutes." In 30 minutes he breaks down exactly what those people do differently, and how you can too. The gap isn't between AI and humans. It's between people who know AI and people who don't. Watch it, then read what knowing AI can actually do below

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Mahax

17,829 views • 16 days ago

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

231,980 views • 1 year ago

Your AI is only as smart as the context it runs on. Have you built your shared enterprise brain yet? At Databricks Data+AI Summit, I spoke with Prukalpa ✨, co-founder and co-CEO of Atlan, to go deeper on the AI Context Layer in practice. The concept of a shared enterprise brain resonated with me. It is a foundation that every AI agent draws from, learns from, and contributes back to. "The future of organizations are going to be the fastest learning organizations." - Prukalpa ✨ Sankar, co-founder and co-CEO of Atlan Watch the full interview on YouTube: Check out the live demo by Atlan on Building Context for Your AI Agents - #EnterpriseAI #ContextLayer #Data #AI #AtlanPartner Matthias Heidrich

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Helen Yu

10,982 views • 2 months ago

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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Helen Yu

12,148 views • 2 months ago

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:

Sundar Pichai

1,105,899 views • 10 months ago

Just announced at Retool Summit: A new way to build. Describe the app you want, and Retool generates it instantly. We’re bringing AI AppGen to the enterprise—on your data, in your cloud, with your security built right in.

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Retool

1,484,411 views • 11 months ago

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!

Hurley

33,232 views • 4 months ago

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.

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 views • 1 year ago

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 views • 3 months ago

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

the IBM earnings reinforced something I think Wall Street is still underestimating: IBM is becoming an operating system for enterprise AI. The initial earnings reaction focused on the familiar metrics—revenue growth, infrastructure, margins and quarterly expectations. But that misses the bigger transformation underway. The AI market is bifurcating. On one side are companies building frontier models. On the other are companies helping enterprises operationalize AI—integrating it with existing systems and data, governing it, securing it, and turning AI into measurable business outcomes. IBM is increasingly positioning itself for that second market. And that's important because the enterprise AI conversation is moving from models to tools, from experimentation to outcomes, and ultimately toward autonomy and agents. IBM has decades of enterprise infrastructure, software, data and consulting relationships sitting underneath that transition. The mainframe isn't necessarily legacy in this world—it can become part of the context and transaction infrastructure AI acts upon. Wall Street initially looked at the quarter. I think the more important question is what IBM is becoming. My commentary below. #IBM #AI #EnterpriseAI #AgenticAI #HybridCloud

John Furrier

47,663 views • 1 month ago

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

25,616 views • 2 months ago

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

14,898 views • 1 year ago

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

36,339 views • 3 months ago