Cut through the hype and get straight to what matters. AI in Action shows you how real people and companies are putting artificial intelligence to work—today as it reshapes industries and redefines possibilities. Navigate the AI era with clarity, confidence, and creativity—guided by perspectives from leading experts in the field. AI in Action is sponsored by SAP
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Henrik Werdelin explains how he’s using AI to launch new ventures with his startup studio Audos in this video with Bloomberg Television.
Henrik Werdelin, the entrepreneur behind brands like Barkbox, shares how he is using AI to help incubate and found new companies — with his new startup studio Audos. He speaks with Bloomberg Tech's Caroline Hyde bloom.bg/3XGMPXT
Cassie Kozyrkov talks about how leaders play a central role in safeguarding trust, brand, and accountability by managing data security, output quality, bias, privacy, and compliance. Each decision shapes organizational resilience in an AI-driven world.
CEO, Google's first Chief Decision Scientist, AI Adviser, Decision Strategist, Keynote Speaker (makecassietalk.com), LinkedIn Top Voice
AI risk isn’t someone else’s job. Too often, leaders assume it’s the domain of IT, compliance, or data science... but the truth is, AI risk cuts across every part of the business. Brand, trust, liability, reputation are all on the line. Here are five categories of AI risk every executive needs to own: 1️⃣ Data security: AI expands your attack surface in ways traditional systems never did. 2️⃣ Output quality: “Polished” ≠ “reliable.” Verification has to be part of the workflow. 3️⃣ Bias: Every dataset reflects human choices. Leadership decides whether to amplify or correct. 4️⃣ Privacy: AI can expose patterns you didn’t even know were sensitive. 5️⃣ Compliance: Global scrutiny is rising fast; reactive mode isn’t a strategy. Each of these connects directly to organizational trust and accountability. They’re not technical footnotes — they’re leadership imperatives. Your turn: what other category of AI risk do you think belongs on this list? Your comments make the (digital) world go around and your reposts ♻️ make my day. #AILeadership #DecisionIntelligence #GenerativeAI #AIinAction #Strategy #DigitalTransformation Don't forget to mash, ahem no, daintily tap that follow button for more.
AI projects succeed when teams define success from the start. Cassie Kozyrkov discusses how clear metrics guide risk, reduce rework, and ensure systems perform in real-world workflows.
CEO, Google's first Chief Decision Scientist, AI Adviser, Decision Strategist, Keynote Speaker (makecassietalk.com), LinkedIn Top Voice
Leaders are discovering the hard way that “plug-and-play AI” is mostly a myth. The tech may look polished, but the real work begins where the glossy demo ends. This new episode of AI in Action breaks down why so many teams burn budget, time, and momentum before they ever see meaningful value — and why the missing ingredient is almost always the same: precise, upfront definitions of success. ❌ Clear metrics aren’t paperwork. ✅ They’re strategic infrastructure. Without them, AI initiatives drift, stall, or quietly accumulate hidden costs. With them, teams avoid rework, manage risk, and actually ship systems that hold up under the pressure of real users and real workflows. If you’ve ever watched an AI project spiral because “it looked easy at first,” this one will resonate. We also dig in to an irreconcilable conflict between you and your vendor. 🎥 Video below. Your turn: What’s one “plug-and-play” promise you’ve seen turn into a long, messy integration story? Your comments make the (digital) world go around and your reposts ♻️ make my day. #AILeadership #DecisionIntelligence #GenerativeAI #AIinAction #Strategy #DigitalTransformation Don't forget to mash, ahem no, daintily tap that follow button for more.
Is your AI Agent making mistakes? “Agent Mode” in many AI tools can make unnecessary errors. Justin "Mr. Fascinate" Shaifer shows how to gain granular control over your AI workflows, giving you more precision in automating tasks. What methods do you use to guide AI decisions?
Empowering Leaders with AI Tools | Keynote Speaker | STEM Media Producer | Forbes 30 Under 30
"Agent Mode" in most AI tools makes unnecessary mistakes. I show an approach to gain more granular control over your AI Agent Workflow in this week's #AIinAction Video. I'm excited about the implications of having user-friendly tools that can give people more control over *how* they automate tasks. What other ways can you gain more control over your AI Agent's decision making process? Let me know in the comments!
Adopting the latest AI capabilities unlocks potential revenue, accelerates hiring, and boosts productivity. Zoom CMO Kimberly Storin joins Ed Ludlow to discuss how AI-driven collaboration tools are shaping the opportunities and strategies businesses need to thrive. Bloomberg Television
Falling behind on adopting the latest AI capabilities can result in lost potential revenue, slower hiring, and reduced productivity, according to a new Zoom and Deloitte report. Zoom CMO Kimberly Storin joins Ed Ludlow to discuss the challenges and opportunities for businesses using AI-driven collaboration https://lnkd.in/egVBu_Kt
Most people focus on AI’s time savings, but one of the biggest gains is better decision quality. Someone Allie K. Miller in Madison Square Park told her that AI helps them spot perspectives they’d never consider on their own. It adds foresight, reduces blind spots, and improves the decisions that matter most. What are your thoughts on this approach with AI?
#1 Most Followed Voice in AI Business (2M) | Former Amazon, IBM | Fortune 500 AI and Startup Advisor, Public Speaker | @alliekmiller on Instagram, X, TikTok | AI-First Course with 200K+ students - Link in Bio
A ton of people I talk to about AI immediately jump to productivity. "How many hours can I save?" When teaching AI in Madison Square Park, I asked someone: "Is AI adding new components to decision-making, or just enhancing what you already do?" They said AI is surprisingly good at finding the outside view, or the perspectives you wouldn't consider on your own. “In the old world”, you'd ask people in your industry what went wrong on similar projects. But now, AI can surface those blind spots instantly and add forethought you wouldn't have had otherwise. One of the more massive KPIs people often miss with AI is whether you made a better decision that's lower risk, more thoughtful, helps more people, and feels right. This wraps up my teaching AI to strangers series. Thanks for following along - more content coming soon.
Will AI make us smarter or more reliant? It can expand our thinking, but only if we stay curious and engaged. The goal isn’t letting AI think for us rather learning to think better with it. Bernard Marr
📖 Internationally Best-selling #Author🎤 #KeynoteSpeaker🤖 #Futurist💻 #Business, #Tech & #Strategy Advisor
🧠 Will AI make us smarter – or more dependent? In this video, I explore one of the biggest questions of our time: how artificial intelligence is influencing human intelligence. As we rely more on AI for problem-solving, creativity, and decision-making, are we expanding our capabilities – or outsourcing them? The truth might be somewhere in between. AI can amplify our potential, but only if we stay curious, critical, and actively involved in the process. It’s not about letting machines think for us, but learning how to think with them. 🎥 Watch now to explore whether AI will ultimately make us more – or less – intelligent. Do you think AI enhances or limits our ability to think for ourselves? Let me know your view in the comments 👇
AI helped Zoya Garg run a professional-grade marketing campaign while balancing college and life. From research to automation to social engagement, AI became her toolkit for success, selling 10,000 preorders and landing a NYT bestseller spot. More on this story with LinkedIn News
How do you sell 10,000 books before graduation? Ask AI. When comedian Zarna Garg asked her daughter Zoya Garg, a college senior studying computer science at Stanford, to lead the marketing campaign for her debut book, it took her by surprise. Zoya had zero experience in publishing. Still, between classes, exams, and comedy tour stops, Zoya built a grassroots campaign that sold over 10,000 preorders — and earned the book a coveted spot on The New York Times bestseller list. How did she do it? Through guerilla marketing, creative social media content, and AI agents. "I used every AI tool available to me to sell this book," Zoya says. "I just prompted and I learned, and I organized my research the way that an engineer would." By using AI to research marketing tactics, build automations, and optimize engagement, Zoya taught herself how to run a professional-grade campaign from scratch. Her biggest lesson: if you can master even one AI tool for a specific use case, you’ll always have an edge.
AI is changing leadership. Leaders give teams resources, time, and AI tools, fostering curiosity and experimentation. Your advantage comes from creating permission, not controlling output. What are your thoughts on this topic? Video by Cat G
The best leaders are changing how they lead. Instead of asking for polished deliverables, they ask for AI-assisted drafts. They aren't controlling experiments, they give teams budgets and demo slots. Rather than rewarding perfection, they reward curiosity. AI has flattened the hierarchy. Junior employees now have access to capabilities that used to live only at the top. Your edge isn’t perfecting output. It’s creating more permission. Stop hoarding control. Start multiplying potential. What's one way you're changing how you lead?
Justin "Mr. Fascinate" Shaifer discusses 5 in-demand skills during the AI Revolution. How are you implementing these skills in your day to day to help streamline tasks?
Empowering Leaders with AI Tools | Keynote Speaker | STEM Media Producer | Forbes 30 Under 30
What skills are most valuable during the AI revolution? I've included a few research-backed skills for this week's #AIInAction Video! Let me know of any others that come to mind!