Podcast
The AI Cookbook Show by Malcolm Werchota
Hosted by Malcolm Werchota · EN
Malcolm Werchota's AI Cookbook Show is where artificial intelligence meets authentic business transformation. Known for his direct style and willingness to show AI in action—even during live presentations—Malcolm helps organizations understand that AI isn't about replacing humans but amplifying their capabilities. From voice-note productivity hacks to real-time meeting intelligence, this podcast delivers actionable insights for immediate implementation.
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Episodes
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#119 - Why Token Dashboards Will Soon Decide Who Keeps Their Job
3d ago00:41:09Tap to summarizePicture this. It's Monday morning. You open your laptop, go to the internal portal — and for the first time, you see a dashboard where everyone in the company can see how heavily you're using AI. Not somewhere in the future. Not science fiction. Just a real management logic that's quietly being built right now inside major enterprises.In this episode, Malcolm explains why exactly those kinds of AI Adoption Dashboards, Token Leaderboards and internal AI shitlists will show up in European companies within the next 12 to 18 months. Not just at Meta, Disney, JP Morgan, Visa or Salesforce — but also at companies in Bregenz, Zurich, Vienna, Linz or Wolfsburg.The trigger for this episode is a hard reality check: Meta is rolling out its Model Capability Initiative — an internal system that tracks employee behavior on corporate laptops in fine detail. Keystrokes, mouse clicks, screenshots, browser activity. The point behind it is brutally clear: companies want to understand how people work today, so they can hand that work over to AI agents tomorrow.Malcolm connects this to a second development that hits even closer to most companies' daily reality: token dashboards. Who uses how much AI? Who burns the most tokens? Who's visibly working with Copilot, Claude or ChatGPT? And who shows up at the very bottom of one of these dashboards? The uncomfortable truth is this: in many companies, AI usage will no longer just be recommended — it will be measured, compared and culturally loaded.But this episode doesn't stay stuck in fear. For Malcolm, the real question isn't whether these dashboards are coming, but how companies design them. Most enterprises already sit on every data source they need: Copilot usage, VPN logs, endpoint data, Slack, Teams, Jira, ServiceNow, CRM systems and more. The infrastructure to make AI adoption visible already exists.The episode gets interesting where it stops being a control discussion and turns practical. Malcolm explains concretely how companies can push AI adoption without sliding straight into surveillance logic. That includes cash pools for teams that visibly automate work, CEO demos that send real signals, early adopters who get actual time to experiment, and an honest conversation with works councils — instead of dragging them in at the very end.The central message of this episode is uncomfortable but crystal clear: AI adoption is going to become measurable inside companies. And firms that pretend this is just a US problem or a narrow data protection topic are quietly sleeping through a shift that will reshape how they work, how their culture feels, and how they make personnel decisions.🎙️ About the HostMalcolm Werchota runs AI adoption programs for companies across Europe. After 15+ years in international corporations and leadership roles, his focus today is on practical AI rollout — no bullshit. He works with companies from manufacturing to pharma, from mid-size businesses to large enterprises, always with a sharp focus on real-world applicability and business value.🚀 Resources for Leaders📚 Chief AI Academy — AI for Decision Makers👥 AI Leadership Community📬 ContactLinkedIn: linkedin.com/in/malcolmwerchotaEmail: social@werchota.aiTags: #AI #AICookbook #AIAdoption #TokenDashboard #Copilot #Claude #ChatGPT #Meta #Disney #Productivity #Leadership #ChangeManagement #WorksCouncil #EnterpriseAI #FutureOfWork
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#118 - Your Project Management Is Broken — Linear Fixes It
3w ago00:36:15Tap to summarizeIf your projects last longer than a few days, then you already know the problem: action items everywhere, people joining and leaving, updates getting lost, and nobody really having a clean overview of what is going on.In this episode, Malcolm makes a very direct argument: the traditional role of the project manager — or Scrum Master in software teams — is becoming obsolete. Not because project management no longer matters, but because AI plus agent-native tooling can now do a huge part of it better, faster, and with far more consistency than humans can.The center of this episode is Linear — the project management tool Malcolm believes is currently the strongest option for AI-native project execution. Malcolm explains this through a real example: a complex EU-funded delivery made up of eight sub-projects, all running on a brutal deadline. In the past, that level of complexity would have triggered panic and a call to hire a dedicated project manager. Now, the work is coordinated through AI agents writing directly into Linear, while Malcolm can query the entire state of the project from his phone, generate Gantt charts, build dashboards, and even send updates while sitting in a car, walking outdoors, or preparing for a customer meeting.That leads to the key concept of the episode: hypervisibility. Instead of project status being buried in weekly review meetings, PowerPoints, Excel sheets, or filtered reports, everyone — including leadership — can ask the system directly what is happening, what is blocked, who is late, what has no due date, and what the next steps are. That changes project management from a ritual of chasing updates into a live system of transparency.The episode also lays out why Malcolm sees Linear as structurally different from older tools like Microsoft Project, Jira, and Asana. Those tools were not built for AI agents first. They can be made to work, sometimes painfully, but they are slower, heavier, more customized, and far harder for AI systems to reason across. Linear, by contrast, behaves more like an AI-native coordination layer.And perhaps the most surprising part of the episode is this: Malcolm argues that using AI for project management does not make work colder or more mechanical. It actually gives him more space to be human — less mental clutter, less fear of forgetting something, more presence with family, more calm, more energy, and more room for better conversations with colleagues and customers.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #Linear #ProjectManagement #AIAgents #Hypervisibility #ClaudeCode #Codex #AIAdoption #EnterpriseAI #ScrumMaster #Leadership #Automation #FutureOfWork
Transcribe →#117 Why Every Company Needs a Second Brain
4w ago00:33:44Tap to summarizeAbout 10 days ago, Malcolm met a business CEO at Zurich Airport who explained how he had built the second brain of his company in just 48 hours. That conversation changed everything.In this episode, Malcolm breaks down what a real company second brain actually is, why most firms still do not have one, and why that is becoming a serious competitive disadvantage. This is not just a chatbot, not just a better SharePoint search, and not just another enterprise AI wrapper. A real second brain continuously ingests company knowledge — emails, CRM data, SharePoint files, financial data, meeting notes, calendars, and more — and turns that into something the business can query, correct, and eventually act through.Malcolm explains why the missing ingredient was never just a vector database. The breakthrough came from a smarter architecture: a living company memory with a Wikipedia-like intelligence layer on top, plus bi-directional learning so the system can improve when people correct it. That is what turns a static company GPT into something much closer to an actual organizational brain.He also walks through concrete use cases already happening right now: preparing for customer meetings with far better context, compressing CEO onboarding from months into days, and giving teams access to a searchable memory layer that actually understands customers, projects, risks, invoices, and past work.The episode then zooms out to the bigger signal. Malcolm connects this directly to SoftBank’s investment thesis and the rise of second brains for robots. The argument is simple: robots need context to operate intelligently, and so do companies. If physical AI is getting a second brain before your employees do, something is off.At its core, this episode is about leverage. Most companies are still flying blind because their knowledge is fragmented across inboxes, folders, meetings, and disconnected systems. A second brain changes that. And the companies building one now will have a brutal advantage over the ones that wait.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #SecondBrain #EnterpriseAI #AIAdoption #KnowledgeManagement #MCP #VectorDatabase #CEO #Leadership #Robotics #PhysicalAI #Azure #Supabase #ClaudeCode
Transcribe →#116 - Copilot in Excel is the Trojan Horse of AI Adoption
Apr 1200:19:51Tap to summarize🎙️ Episode DescriptionFor the last few weeks, Malcolm has been doing the same trick in workshops — and it keeps producing the exact same reaction: silence.He walks into a room full of executives, opens a real Excel file, switches Copilot into Agent Mode, gives it one big instruction — build charts, surface insights, create a 90-day plan, flag business errors, add a Read Me tab — and then calmly walks off to make a coffee while Excel starts building the analysis live in front of everyone.That is the whole point of this episode: Copilot in Excel has quietly become one of the most powerful AI adoption tools inside companies.Not because it feels futuristic. Not because it is the most hyped AI product on the market. But because Excel is already where people live. Finance lives there. Sales lives there. Operations, controlling, production, R&D — everybody uses Excel. There is no new app to learn, no extra login, no dramatic workflow shift. The AI appears exactly where people already work.Malcolm argues that this is why Excel may be the real Trojan horse of AI adoption. The episode also explains why most users still underuse Copilot in Excel. They ask for one formula, one chart, one tiny adjustment. But the real leap happens when you go big: ask for multiple tabs, multiple charts, error analysis, color-coding, a 90-day plan, formatting improvements, broken links, wrong references, and a full explanation of what was done. That is where Agent Mode stops being a gimmick and starts becoming a weapon.Malcolm also gives an honest view on the competition. Claude for Excel and ChatGPT for Excel can be very strong in certain cases, and sometimes even outperform Copilot in specific error-finding tasks. But in real companies, Copilot often has one decisive advantage: it is already inside the Microsoft environment people are allowed to use. That makes it far easier to adopt at scale.This is not an abstract episode about “the future of work.” It is a field report from real workshops, real managers, real spreadsheets, and real moments where people suddenly realize that the AI adoption tool they were waiting for may already be sitting in the ribbon of a product they have used for 20 years.🎙️ ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe. After more than 15 years in international corporates and leadership roles, his focus today is practical AI implementation without the usual nonsense. He works with companies from manufacturing to pharma, from family-owned businesses to large global enterprises — always with a strong bias toward real-world adoption and business value.🚀 RESOURCES FOR LEADERS📚 Chief AI Academy — AI for Decision-Makershttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-started📬 CONTACTLinkedIn: https://linkedin.com/in/malcolmwerchotaE-Mail: social@werchota.ai🔎 TAGS#AI #AICookbook #Copilot #Excel #MicrosoftCopilot #AgentMode #AIAdoption #BusinessAI #EnterpriseAI #CFO #Controlling #ExcelAutomation #Leadership #FutureOfWork
Transcribe →OpenClaw: The Ultimate Rapid Prototyping Machine for the AI Era - #115
Feb 1800:36:39Tap to summarizeOpenClaw is not just another AI tool — it’s a fundamental shift in how companies build, automate, and operate.In this episode, Malcolm Werchota explains why we are entering the era of multi-agent systems and how OpenClaw enables businesses to prototype, deploy, and iterate at unprecedented speed.Instead of theory, Malcolm walks through a real enterprise implementation: a fully deployed financial automation system running on Azure that processes invoices, validates data across multiple AI models, and continuously improves through iterative feedback loops — all at minimal cost.You’ll hear how multi-agent orchestration frameworks like “Shakti” combine models such as Claude, Codex, DeepSeek, and Kimi to create a council of AI agents that collaborate, review, and validate each other’s outputs.The episode also explores:• Why OpenClaw is the most powerful rapid prototyping machine available today• How companies can automate complex workflows like invoice processing• Why multi-LLM validation dramatically improves reliability• The security realities of AI-generated code• How iterative agent feedback replaces traditional software sprints• Why voice-driven workflow design changes how we interact with systems• How organizations can build a “Second Brain” for operational knowledge• What enterprise leaders should do now to prepareMalcolm also shares practical guidance on how to safely experiment with OpenClaw, why sandbox environments matter, and how businesses can start thinking in agent-orchestrated workflows instead of single-tool automation.This episode is both a wake-up call and a practical roadmap for leaders who want to understand what the next generation of enterprise AI actually looks like.ABOUT THE HOSTMalcolm Werchota leads AI adoption programs for companies across Europe.After more than 15 years at global organizations including Novartis and Schlumberger, he now helps leadership teams separate AI hype from real strategic impact.He advises banks, industrial firms, and technology companies on AI transformation and teaches at leading institutions including ESADE and HSLU.FREE AI RESOURCES📚 Chief AI Academy — AI programs for executiveshttps://www.werchota.ai/chief-ai-academy👥 AI Leadership Communityhttps://chief.werchota.ai/getting-startedCONTACTLinkedInhttps://linkedin.com/in/malcolmwerchotaEmailsocial@werchota.aiTAGSAI agents, OpenClaw, enterprise AI, multi agent systems, AI automation, AI strategy, AI workflows, generative AI, enterprise software, AI orchestration
Transcribe →OpenClaw: The Moment AI Agents Started Talking to Each Other #114
Feb 100:23:54Tap to summarizeThis episode is a turning point.Over the past few days, Malcolm has been experimenting with OpenClaw (formerly ClaudeBot, then Maltbot) — an open-source agent framework that allows AI agents to communicate with humans and with other AI agents across email, WhatsApp, Telegram, Teams, voice notes, dashboards, APIs, and files.What emerges is not another productivity hack.It’s the beginning of agent-to-agent organizations.In this episode, Malcolm explains:Why OpenClaw represents a step-change, not a feature updateHow non-technical business leaders can deploy autonomous agentsHow company KPIs, dashboards, reminders, and follow-ups were set up in minutes, not weeksWhy the real bottleneck in companies is coordination, not codingHow agent-to-agent communication removes humans from endless ping-pongWhy productivity becomes collective and compounding, not individualAnd then it gets truly wild:OpenClaw agents have their own social network called Moldbook1.5 million agents are already interactingAgents share skills, complain about humans, hit rate limits, lose context — and learn from each otherEntire agent communities evolve without human orchestrationMalcolm also gives a clear warning:OpenClaw is powerful and dangerous if used carelessly. Open ports, prompt-injection risks, and unverified skills mean this is not something to casually install on your personal machine.This episode is not hype.It’s a first look at how work itself is being rewritten when AI stops waiting for prompts and starts coordinating autonomously.🎙️ ABOUT THE HOSTMalcolm Werchota runs AI adoption programs for companies across Europe.After 15+ years at Novartis and Schlumberger, he now helps leadership teams move from AI hype to real operational impact.Faculty at ESADE and HSLU.🚀 FREE AI LEADERSHIP RESOURCES📚 Chief AI Academy – AI courses for leaders:https://www.werchota.ai/chief-ai-academy👥 Join the AI leadership community:https://chief.werchota.ai/getting-started💼 CONNECTLinkedIn: https://linkedin.com/in/malcolmwerchotaEmail: social@werchota.ai🔎 HASHTAGS / TAGS#AI #AIAgents #OpenClaw #AgenticAI #FutureOfWork #AILeadership #TheAICookbook #EnterpriseAI #Automation
Transcribe →Weekly AI Recap - Tesla as a Data Center, UK Banks, Davos Shock & Claude’s Constitution - #113
Jan 2601:20:19Tap to summarizeWelcome to the weekly degustation menu — curated, high-signal, and focused on what actually matters from Week 3 of January 2026. Energy is now politicsTrump, Eric Schmidt (Davos), and Satya Nadella all circle the same point: the AI race is increasingly about megawatts, not just models. Data centers are becoming a national strategic asset, and Europe is being squeezed by energy prices, permitting timelines, and CAPEX realities.The Tesla “secret data center” leakA whistleblower claims xAI wants to distribute compute workloads to idle Teslas — your car receives a compute packet, processes it, sends results back… while you pay for the car, the parking space, and potentially the electricity.Why it’s plausible: powerful onboard chips, always-connected vehicles, thermal management, and a globally distributed fleet that’s idle most of the time. If this idea lands, it’s a new model of cloud infrastructure: capex off Musk’s balance sheet, onto yours.UK finance: 75% using AI, no AI stress testsUK lawmakers wake up and realize most financial firms are already using AI — but there’s almost no AI-specific oversight or stress testing. The fear isn’t just “hallucinations.” It’s systemic risk: black-box behavior, herd effects, flash crashes, and prompt-injection style attacks on financial workflows.Google makes SAT prep freeGoogle launches free SAT prep through Gemini in partnership with Princeton Review. This is one of the clearest examples of AI as a democratizer: expensive tutoring becomes a personalized, always-available coach at zero marginal cost. Education is about to be reimagined — whether institutions like it or not.Anthropic opens the black boxAnthropic publishes an updated Claude Constitution — now ~23,000 words. Key idea: helpfulness is the lowest priority; safety/ethics/oversight dominate. Claude can even refuse requests that concentrate power in illegitimate ways — including internal pressure.They also release it under Creative Commons, effectively offering a governance blueprint others can adopt.TakeawayThe era of “magic demos” is over. What matters now is implementation, energy constraints, regulation, and governance. AI is not just a tool — it’s reshaping business models, infrastructure, and power.---🎙️ Malcolm Werchota runs AI adoption programs for companies across Europe. After 15 years at Novartis and Schlumberger, he now helps leadership teams cut through AI hype. Faculty at ESADE & HSLU.---🚀 FREE AI LEADERSHIP RESOURCES📚 Chief AI Academy — AI courses for leaders:https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders:https://chief.werchota.ai/getting-started---💼 Connect: https://linkedin.com/in/malcolmwerchota✉️ Email: social@werchota.ai#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #Anthropic #Claude #AIEthics
Transcribe →I Built an AI Chief of Staff for €70 — And It Destroyed My Company - #112
Jan 2100:39:32Tap to summarizeWhere have I been for 10 days? Vibe coding. Building something that changed everything about how I see my own business.We built an AI Chief of Staff — a system that mines every email, every call recording, every file across our entire company. Not just my inbox. Everyone's. And then we gave everyone access to query it.What it revealed was brutal: ThyssenKrupp — one of the biggest defense contractors in Europe — reached out for a workshop. I never answered. NG Spain wanted to train 100 people. I ghosted them. Promised case studies to customers in November. Never sent. The list goes on.But here's what really hit me: I asked the AI, "What's the biggest bottleneck in this company?" And it said: YOU. You, Malcolm, are the biggest constraint on growth.This isn't a tool to show you how amazing you are. It's a tool that shows you 99% of your failures — every broken promise, every strategy drift, every customer you forgot. And it cost €70 to build.If you think you know what's happening in your company, you don't. Nobody does. And this episode is the raw, unfiltered truth about what happens when AI finally shows you.🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption.🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it🔗 LINKS & RESOURCES📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshow📱 FOLLOW MALCOLM▸ LinkedIn: https://linkedin.com/in/malcolmwerchota ▸ TikTok: https://www.tiktok.com/@malcolmwerchota ▸ Instagram: https://www.instagram.com/malcolmwerchotaai/
Transcribe →Weekly AI Recap - Cursor AI Agents, Anthropic Cowork, ChatGPT Ads, Grok Deepfakes - #111
Jan 1700:22:14Tap to summarizeAI agents just built a complete web browser — 3 million lines of code — in ONE WEEK. But first, they failed spectacularly. The lesson? It's not about smarter AI. It's about smarter AI organization. Plus: OpenAI adds ads, Google mines your Gmail, and the UK makes deepfakes illegal overnight.🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption. 🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it. People-first AI for companies ready to lead, not follow.🔗 LINKS & RESOURCES🌐 Website: https://werchota.ai 💼 LinkedIn: https://linkedin.com/in/malcolmwerchota📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshowDeutsch: ▸ Apple: https://podcasts.apple.com/in/podcast/das-ki-kochbuch-ki-tools-unternehmens-ki-leadership/id1823558282 ▸ Spotify: https://open.spotify.com/show/5Eph6u874EN8qGP2q7F7sT ▸ YouTube: https://www.youtube.com/@werchota-daskikochbuch📱 FOLLOW MALCOLM▸ LinkedIn: https://linkedin.com/in/malcolmwerchota ▸ TikTok: https://www.tiktok.com/@malcolmwerchota ▸ Instagram: https://www.instagram.com/malcolmwerchotaai/#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #AIAgents #Cursor #ChatGPT #Claude #Deepfakes
Transcribe →E110: Iran - The Algorithmic Intifada - AI, Censorship & Digital Resistance
Jan 1400:39:21Tap to summarizeWhat's happening in Iran is a preview of AI's role in future power struggles:Welcome to the algorithmic intifada.AI serves both resistance (circumvention, encryption, therapy, communication) and repression (facial recognition, DPI, automated enforcement)Chinese AI adoption is exploding in sanctioned countries – an unintended consequence of US policyLock-in effects on US tech stacks (Microsoft, OpenAI) are a strategic vulnerability for Europe🎙️ ABOUT THE HOSTMalcolm Werchota has led AI workshops for executives at Microsoft, LGT, Raiffeisen, Swiss MedTech, and ENGEL — and runs AI adoption programs for companies across Europe. After 15 years in corporate roles across pharma and oil & gas on multiple continents — including Novartis and Schlumberger — he now helps leadership teams cut through AI hype and drive real adoption.🚀 ABOUT WERCHOTA.AIwerchota.ai helps organizations turn AI from threat into competitive advantage. We believe AI adoption is a leadership challenge, not a technical one — and that it should amplify human capability, not replace it.🔗 LINKS & RESOURCES🌐 Website: https://werchota.ai 💼 LinkedIn: https://linkedin.com/in/malcolmwerchota📚 Join Chief AI Academy (cohort-based AI courses for leaders): https://www.werchota.ai/chief-ai-academy👥 Join our community of AI leaders: https://chief.werchota.ai/getting-started🎧 LISTEN TO THE PODCASTEnglish: ▸ Apple: https://podcasts.apple.com/in/podcast/the-ai-cookbook-ai-tools-enterprise-ai-leadership/id1823547405 ▸ Spotify: https://open.spotify.com/show/3MZ755kss8qdI5lQfxIUhH ▸ YouTube: https://www.youtube.com/@werchota-theaicookbookshowDeutsch: ▸ Apple: https://podcasts.apple.com/in/podcast/das-ki-kochbuch-ki-tools-unternehmens-ki-leadership/id1823558282 ▸ Spotify: https://open.spotify.com/show/5Eph6u874EN8qGP2q7F7sT ▸ YouTube: https://www.youtube.com/@werchota-daskikochbuch#AI #EnterpriseAI #AIStrategy #AIAdoption #TheAICookbook #Iran #DeepSeek #KI #Digitalisierung
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