Andreas Welsch's Linkedin Analytics

𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗲𝘃𝗼𝗹𝘃𝗲 𝘄𝗵𝗲𝗻 𝗮𝗴𝗲𝗻𝘁𝘀 𝗲𝗻𝘁𝗲𝗿 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲? 80-85% of AI projects don’t deliver the value they’ve set out to create. That number has stayed consistent over the past 10 years: Machine Learning > Generative AI > Agentic AI (projected) What’s changed: Technology What hasn’t: Leaders’ approach to adoption As we move toward higher levels of autonomy and automation with AI agents, keeping trends, people, and data in view remains key. This morning, 25 executives and leaders in the Philadelphia area learned about the key skills leaders need to advance—and how to develop them. Thank you, DAMA Philadelphia and Delaware Valley, for inviting me the latest insights from the AI Leadership Handbook! #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗗𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗺𝗲𝗮𝗻 '𝗿𝗶𝗽 & 𝗿𝗲𝗽𝗹𝗮𝗰𝗲.' Rebuilding entire systems to accommodate AI sounds ideal—but it’s rarely realistic. In this short clip from the latest "What’s the BUZZ?" episode, 𝗧𝗼𝗺𝗮𝘀 𝗚𝗼𝗴𝗮𝗿 (CEO & Co-Founder of Rossum) draws a powerful parallel between self-driving cars and AI agents in the workplace: - Work with what’s already there - Blend human and machine intelligence - Make change sustainable Watch the clip to see how this mindset shapes real-world AI deployment. Catch the full episode on the “What’s the BUZZ?—AI in Business” podcast: https://lnkd.in/dE9d9df8 𝘗𝘚: 𝘛𝘩𝘢𝘯𝘬 𝘺𝘰𝘶 𝘵𝘰 𝘵𝘩𝘦 𝘵𝘦𝘢𝘮 𝘢𝘵 𝘙𝘰𝘴𝘴𝘶𝘮 𝘧𝘰𝘳 𝘴𝘱𝘰𝘯𝘴𝘰𝘳𝘪𝘯𝘨 𝘵𝘩𝘪𝘴 𝘦𝘱𝘪𝘴𝘰𝘥𝘦. #ArtificialIntelligence #GenerativeAI #AgenticAI #Sponsored #IntelligenceBriefing

𝟴𝟱% 𝗼𝗳 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗵𝗮𝘃𝗲 𝗳𝗮𝗶𝗹𝗲𝗱—𝗳𝗼𝗿 𝘁𝗵𝗲 𝗽𝗮𝘀𝘁 𝟭𝟬 𝘆𝗲𝗮𝗿𝘀. “In biopharma, that would be considered good,” one executive remarked, “so why should AI projects have a higher success rate?” 1) AI is primarily a people topic that requires bringing people along on the journey and communicating your intent clearly. 2) Most businesses treat AI as an incremental innovation and give their employees Copilot or some other AI feature and neglect the transformational aspects of how work changes 3) Innovation management shows that building the equivalent of a blockbuster medicine in a business is incredibly hard when you need to adhere to corporate budgets, processes, guidelines, performance metrics, … But nonetheless, if you’re a leader, you *can* drive that change—*you* can drive that change. When AI tech gets cheaper and the push to do AI increases, you need to prepare your leadership to close that gap—and get closer to 85% success than 85% failure. Thank you, DAMA Philadelphia for inviting me to speak in the city this week, and for the insightful and curious questions in the room. How does leadership evolve when more AI joins the workplace?—Get in touch to inspire your team! #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗔𝗿𝗲 𝘄𝗲 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗲𝗺𝗯𝗿𝗮𝗰𝗲 𝗮 𝗳𝘂𝘁𝘂𝗿𝗲 𝘄𝗵𝗲𝗿𝗲 𝗰𝗼𝗱𝗶𝗻𝗴 𝗶𝘀 𝗮𝘀 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝗮𝘀 𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝗮 𝘁𝗲𝘅𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲? In this week’s episode of the “What’s the BUZZ?” podcast, I sit down with 𝗠𝗮𝘁𝘁 𝘃𝗮𝗻 𝗜𝘁𝗮𝗹𝗹𝗶𝗲, founder and CEO of Sema, to explore the emerging trend of vibecoding and its implications for both tech teams and investors. Here’s what you’ll uncover: 1) 𝗧𝗵𝗲 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Vibe coding allows non-coders to create fully functional applications using natural language prompts. This shift empowers a broader range of professionals, especially in product management, to contribute to the developmental process and prototype faster without draining developers' valuable time. 2) 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗥𝗶𝘀𝗸𝘀 𝗪𝗵𝗲𝗻 𝗨𝘀𝗶𝗻𝗴 𝗔𝗜 While vibe coding can accelerate innovation, it comes with significant risks. From security vulnerabilities to issues with code quality and maintainability, Matt emphasizes the crucial need for human oversight to ensure the reliability of AI-generated code—especially in enterprise environments. 3) 𝗧𝗵𝗲 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗥𝗼𝗹𝗲 𝗼𝗳 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 Despite the rise of AI in coding, developers remain indispensable. They not only provide the expertise needed to refine AI-generated code but also ensure compliance with intellectual property standards and help prevent pitfalls that could arise during technical due diligence. If you're a founder or leader navigating the complexities of AI in software development, this episode is packed with insights that could reshape your approach to technology in your organization. Don’t miss out on Matt’s expert analysis. Subscribe to “What’s the BUZZ?” now, and tune in when the episode drops tonight at 8pm ET. #ArtificialIntelligence #GenerativeAI #Vibecoding #SoftwareDevelopment #IntelligenceBriefing

𝗖𝗮𝗻 𝗔𝗜 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗰𝗵𝗶𝗹𝗱𝗵𝗼𝗼𝗱 𝗱𝗿𝗲𝗮𝗺𝘀 𝗰𝗼𝗺𝗲 𝘁𝗿𝘂𝗲? (Here is what I learned...) This week’s hottest AI trend on the Internet: Turning yourself into an action figure. Using ChatGPT, I started a new chat for each image: “Draw a picture of me as a real-life action figure. Be as specific as possible based on what you know about me. Put multiple interesting things that represent who I am inside the packaging.” (ChatGPT creates the top-left image. Hmm...) Observation #1: ChatGPT knows a lot about what I do (and what I use it for). But it is pretty clueless about everything else about me, like appearance, ethnic background, etc. (I do this a few more times, getting more and more curious about what it will make up and come up with.) Time to amend the prompt to get a more accurate representation: “What additional information about me do you need?” (ChatGPT asks about aspects of myself that it did not know. I uploaded a recent picture of myself. And the final image is much closer to my real appearance.) Observation #2: OpenAI has added diversity to its image-generation features. In the absence of details, GPT-4o incorporates several different ethnic backgrounds—something that models struggle with by default. Observation #3: Generative AI tools will make things up if you don’t provide any details or ask it to ask you in case of incomplete information. (It's been known for a while, but this is a good visual example.) Observation #4: OpenAI’s image generation is impressive. But editing only certain parts of the image (e.g., cup or book) can still mess up others that were perfectly fine. But… You will only learn any of this first-hand if you use these tools yourself. The same applies to the employees in your business, too. It is why tools and training have to go together. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗹𝗮𝘁𝗲𝘀𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝘁𝗼𝗼𝗹𝘀? #ArtificialIntelligence #GenerativeAI #LIPostingDayApril

𝗧𝗲𝗰𝗵 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝗶𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲𝗿𝘀 𝗸𝗲𝗲𝗽 𝘁𝗮𝗹𝗸𝗶𝗻𝗴 𝗮𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗹𝗮𝘁𝗲𝘀𝘁 𝘁𝗲𝗰𝗵 𝗶𝗻 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜. But few talk about how to actually monetize your Agentic AI solutions—because they can't. Based on 23 years at the largest enterprise application vendor on the planet, SAP, I'm sharing how you can create a commercial model for Agentic AI that disrupts your incumbents. When agents move from playground to production, you need more than a fancy tech stack and a finger in the air. Product Managers, Product Marketers, GTM Leaders, and Founders will learn how to make money with agents when costs are highly variable and the price is fixed. My next course starts on Monday. Join here (discount applied): https://lnkd.in/dsrgXkqs 𝗪𝗵𝗼'𝘀 𝗿𝗲𝗮𝗱𝘆 𝘁𝗼 𝗺𝗼𝗻𝗲𝘁𝗶𝘇𝗲 𝘁𝗵𝗲𝗶𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀? #ArtificialIntelligence #GenerativeAI #AgenticAI #IntelligenceBriefing

Adopting AI starts with the leader's mindset. But what aside from the unique challenges and opportunities of the business determines AI success? Is it navigating capacity constraints, cultural readiness, and psychological safety—especially as AI amplifies change at an accelerated pace? In this episode of “What’s the BUZZ?”, host Andreas Welsch talks with 𝗠𝗮𝘁𝘁 𝗟𝗲𝘄𝗶𝘀, Chief Augmented Intelligence Officer at LLMental, about how leaders can position themselves and their organizations for sustainable AI adoption. 𝗖𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗕𝗨𝗭𝗭: • How to foster mental wellness and resilience during AI-driven change • Critical enablers for building trust and psychological safety around AI • Practical actions for aligning leadership, operations, and talent for AI AI success isn't just a technical journey—it’s a human one. This conversation offers grounded insights for leaders seeking to build transformation capacity beyond budgets and tools. Don’t miss this one—see you there! *********** 𝘋𝘪𝘴𝘤𝘭𝘢𝘪𝘮𝘦𝘳: 𝘝𝘪𝘦𝘸𝘴 𝘢𝘳𝘦 𝘵𝘩𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴’ 𝘰𝘸𝘯 𝘢𝘯𝘥 𝘥𝘰 𝘯𝘰𝘵 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵 𝘵𝘩𝘰𝘴𝘦 𝘰𝘧 𝘢𝘯𝘺 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵’𝘴 𝘱𝘢𝘴𝘵, 𝘱𝘳𝘦𝘴𝘦𝘯𝘵, 𝘰𝘳 𝘧𝘶𝘵𝘶𝘳𝘦 𝘦𝘮𝘱𝘭𝘰𝘺𝘦𝘳𝘴. 𝘗𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘵𝘩𝘪𝘴 𝘦𝘷𝘦𝘯𝘵 𝘪𝘴 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘵 𝘰𝘧 𝘢𝘯𝘺 𝘱𝘰𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘳𝘦𝘭𝘢𝘵𝘪𝘰𝘯𝘴𝘩𝘪𝘱 (𝘱𝘢𝘴𝘵, 𝘱𝘳𝘦𝘴𝘦𝘯𝘵, 𝘰𝘳 𝘧𝘶𝘵𝘶𝘳𝘦) 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘵𝘩𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘯𝘵𝘴 𝘰𝘳 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘵𝘩𝘦𝘪𝘳 𝘦𝘮𝘱𝘭𝘰𝘺𝘦𝘳𝘴.

𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗴𝗼𝗼𝗱 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 “𝗴𝗿𝗲𝗮𝘁”? They don’t have to get caught up in the weeds to know what’s going on. Instead, they create environments where teams can do their best work by removing obstacles, setting clear priorities, and trusting their people to get things done. But many organizations are the complete opposite. As a leader, you often find yourself buried in endless meetings, constantly checking in, and getting bogged down by tons of updates that prevent you from focusing on the bigger picture. I remember when our team was managing the AI idea pipeline using a gigantic spreadsheet. It was a nightmare—150 ideas, endless details, multiple stakeholders, different statuses, team members, KPIs... you name it. It was crazy. Ad-hoc requests? Total scramble. In the old-school way of running things, technology was often the bottleneck. But as a leader today, you should focus on one thing: removing friction. Enable your teams to move quickly, without waiting for permission at every turn. When everything is scattered across different systems, it’s impossible to get a clear picture of what’s going on. Deadlines slip, resources aren’t fully utilized, and you start calling individual team members for the latest status. But when everything comes together in a single space, you can finally see what’s happening in real-time, without drowning in clutter. Gone are the days when spreadsheets were your only option to keep track of things. When you streamline your process on a single platform, you stop wasting time hunting for updates, searching for emails buried in your inbox, and chasing down every detail. As a leader, you don’t need to micromanage every detail. With the right platforms in place, you can stay out of the weeds and focus on leading, not managing. You need to give your teams the trust and space to execute with clarity—and the results speak for themselves. 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝗸𝗲𝗲𝗽 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗼𝗻 𝘁𝗿𝗮𝗰𝗸 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝘁𝘂𝗰𝗸 𝗶𝗻 𝘁𝗵𝗲 𝘄𝗲𝗲𝗱𝘀? If you're looking for more tips and insights on leading effectively, I’d recommend following monday.com. They share a wealth of advice on how to streamline your processes, boost collaboration, and lead with clarity. #ArtificialIntelligence #mondaypartner #GenerativeAI #Leadership #Sponsored

“𝗗𝗮𝘁𝗮 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗼𝗶𝗹”—𝘄𝗵𝘆 𝗮𝘀𝗸 𝗳𝗼𝗿 𝗱𝗿𝗶𝗹𝗹𝗶𝗻𝗴 𝗿𝗶𝗴𝗵𝘁𝘀, 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗼𝘄𝗻 𝘁𝗵𝗲 𝗼𝗶𝗹 𝗳𝗶𝗲𝗹𝗱?! Why xAI buying X (fka Twitter) matters: AI labs have been sharing for a while that they’re running out of training data: - Meta seems to have taken a shortcut (LibGen) and trained Llama3 on millions of pirated books and papers - OpenAI might haven gotten lucky with the latest update and millions of users voluntarily uploading their photos But last night’s announcement from xAI/ X makes it unmistakably clear: Data > AI > Products are intertwined—and you don’t want to own just one part of the supply chain. Assume for a second that the industry has indeed run out of additional human knowledge to train on, X gives xAI (and Grok) a continuous, fresh stream of data. It also shapes both: 1) what people talk about (because they want to talk about it) 2) what people talk about (because the algorithm/ AI wants them to talk about it) By combining data, models, and platforms, xAI creates a perfect flywheel. Hyperpersonalization for users, targeting users for ads with surgical precision and influence, and (presumably) building a better model based on all of that data are just three examples. If you have trouble getting support for a data project in your company, use xAI/ X as a flagship example why AI projects and Data projects go hand-in-hand. There are plenty of other angles in this event about media, discourse, and democracy. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝘁𝗮𝗸𝗲? #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗕𝗲𝗶𝗻𝗴 𝗮 𝗹𝗲𝗮𝗱𝗲𝗿 𝗱𝗼𝗲𝘀𝗻'𝘁 𝗷𝘂𝘀𝘁 𝗺𝗲𝗮𝗻 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀—𝗶𝘁 𝗺𝗲𝗮𝗻𝘀 𝗮𝗱𝘃𝗼𝗰𝗮𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 𝗮𝗻𝗱 𝗽𝗿𝗼𝘃𝗶𝗱𝗶𝗻𝗴 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽. 𝗛𝗮𝘃𝗶𝗻𝗴 𝗹𝗲𝗱 𝘁𝗲𝗮𝗺𝘀 𝗹𝗮𝗿𝗴𝗲 𝗮𝗻𝗱 𝘀𝗺𝗮𝗹𝗹, 𝗜'𝘃𝗲 𝗯𝗲𝗲𝗻 𝘁𝗵𝗲𝗿𝗲 𝗺𝘆𝘀𝗲𝗹𝗳. About three years ago, I brought on a new team member as an external hire. At that time, talent, character, and cultural fit were more important than location or proximity to an office. During the interview process, it was already clear that they were ambitious and looking for opportunities to build their network. The quicker a new hire integrates into the organization, the more self-sufficient they become. We discussed their career goals in one of our first conversations after they joined the company. While there are rules and processes that you need to adhere to as a manager, you can also choose to advocate for someone and sponsor them. In our case, I gave them my commitment to: - Introduce them to trusted leaders across the company - Share their career goals with the next two levels of managers - Put their name forward for career development programs & trainings In one instance, that gave them an opportunity to co-present with a C-Suite leader at a flagship event—which turned out great! Since then, they've progressed well and taken roles with increasing responsibility. As leaders, we have a responsibility to pay it forward and open doors when we see passion and potential. A few months ago, I connected with Rosalind Chow, an Associate Professor of Organizational Behavior at Carnegie Mellon University, on that very same topic. Her message about sponsorship deeply resonates with me. Her new book, "Doors You Can Open," is available now. Check it out! https://lnkd.in/d6u6kbb8 And start thinking about the doors that you can open—and for whom. 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀, 𝘄𝗵𝗮𝘁'𝘀 𝘆𝗼𝘂𝗿 𝗽𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲 𝗼𝗻 𝘀𝗽𝗼𝗻𝘀𝗼𝗿𝘀𝗵𝗶𝗽 𝗳𝗼𝗿 𝗰𝗮𝗿𝗲𝗲𝗿 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? #Leadership #Sponsorship

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗮𝗰𝗰𝗲𝗽𝘁𝗲𝗱 𝗹𝗲𝗮𝘃𝗶𝗻𝗴 𝗺𝗼𝗻𝗲𝘆 𝗼𝗻 𝘁𝗵𝗲 𝘁𝗮𝗯𝗹𝗲? (Or maybe you don't even realize it...) For all the startups claiming to offer "Agentic AI" solutions, the tech isn't what disrupts. It's how you value your offering—and what it achieves for your customers. But charging by user or some complex credit-based system means you're either: - leaving money on the table (agents are not SaaS) or - confusing your customers ("How many credits do I need, and what if I run out mid-month?") The best pricing is clear and simple—for your customers AND your sales reps. Because they simply get it. Today, it costs this, tomorrow it costs that. But simplicity in front of your customer means spending time upfront with your product managers and engineers to figure out your own fixed and variable costs. Disrupting the status-quo means seizing the opportunity to move from user- or value-based pricing to charging for outcomes. It's time to get ahead of the curve—not just in marketing messaging or tech, but in monetizing your offering, too. Create a foundation for pricing your Agentic AI product, based on 20+ years of deep knowledge in the industry. 𝗝𝗼𝗶𝗻 𝗼𝘂𝗿 𝘀𝗽𝗿𝗶𝗻𝗴 𝗰𝗼𝗵𝗼𝗿𝘁 ($𝟭𝟬𝟬 𝗼𝗳𝗳 𝗽𝗿𝗼𝗺𝗼 𝗲𝗻𝗱𝘀 𝘁𝗵𝗶𝘀 𝗦𝘂𝗻𝗱𝗮𝘆): https://lnkd.in/dsrgXkqs #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗧𝗵𝗲 𝘁𝗲𝗰𝗵 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴 𝗰𝗿𝗮𝘇𝘆 𝗼𝘃𝗲𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀. Here are 3 steps to get started: 1) Navigate internal processes 2) Embrace experimentation 3) Identify value to automate operations The key is to start small. Focus on well-documented and understood processes. Leverage technology to build momentum rather than attempting to build an overly complex autonomous system right from the get-go. When implementing AI agents, it's key to embrace a culture of experimentation. Start by leveraging existing tools designed to accelerate process automation. Use platforms that facilitate building and integrating AI agents with limited technical expertise. Analyze your current processes to identify bottlenecks or pitfalls that hinder efficiency: Are your employees spending a lot of time on administrative tasks? Do you have customer inquiries churning through the system without timely responses? AI agents can resolve these issues, providing not just answers but actionable solutions. As you move forward, consider documenting your findings and experimenting with automation strategies. Start with manageable processes, use existing solutions, and focus on areas ripe for enhancement. 𝗪𝗵𝗼'𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗲𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀? 𝘗𝘚: 𝘙𝘦𝘢𝘥 𝘵𝘩𝘦 𝘧𝘶𝘭𝘭 𝘢𝘳𝘵𝘪𝘤𝘭𝘦 𝘪𝘯 𝘛𝘩𝘦 𝘈𝘐 𝘔𝘌𝘔𝘖 𝘢𝘯𝘥 𝘨𝘦𝘵 𝘵𝘩𝘦 𝘯𝘦𝘹𝘵 𝘵𝘩𝘰𝘶𝘨𝘩𝘵-𝘱𝘳𝘰𝘷𝘰𝘬𝘪𝘯𝘨 𝘢𝘳𝘵𝘪𝘤𝘭𝘦 𝘪𝘯 𝘺𝘰𝘶𝘳 𝘪𝘯𝘣𝘰𝘹 𝘵𝘰𝘮𝘰𝘳𝘳𝘰𝘸.

What If Your Next Team Wasn’t Human?—Evolving Leadership in the Agentic AI Era   The pressure on leaders to incorporate AI into their business has never been higher. Despite their best efforts, 85 percent of AI projects fail. But that is rarely just because of technology. Between unrealistic expectations of what AI can do, isolated science projects turned into money pits, and employees looking for clarity on how AI influences their jobs, learning how to successfully introduce AI into your organization can be difficult. Getting it right on the second or third attempt is not an option. Spanning strategy, stakeholder management, collaboration, culture, ethics, data privacy, risk management, and technology, this session covers the key aspects that leaders need to keep in balance—and get it right on the first try.   Agentic AI is set to take center stage, with AI labs building the foundational capabilities and software vendors incorporating it quickly into their platforms and applications. But what does it mean when AI takes on more complex tasks? How will this adoption happen, and how can technologists lead this new way of working?   Just like during the previous Machine Learning and Generative AI hypes, business leaders will be compelled to find quick wins for this new technology. But in their rush to adopt Agentic AI, they will miss critical steps and aspects (again): Aligning AI with their business strategy, managing change, and taking a responsible approach to AI.   Between hype and hope lies the potential of Agentic AI to drive meaningful business impact. From single agents to departmental multi-agent systems, inter-departmental and inter-company agent systems, the progression towards increased autonomy and automation is already happening. Business and technology leaders need to collaborate with each other as well as their teams to ensure that the results that Generative AI and Agentic AI systems generate are timely, accurate, and valuable. Work with Andreas to prepare your leadership team with top insights and actionable steps to turn technology hype into business outcomes! #ArtificialIntelligence #GenerativeAI #AgenticAI #Leadership #Speaking

𝗔𝗳𝘁𝗲𝗿 𝗺𝘆 𝗳𝗶𝗿𝘀𝘁 𝗰𝗮𝗹𝗹 𝘄𝗶𝘁𝗵 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗹𝗮𝘀𝘁 𝘀𝘂𝗺𝗺𝗲𝗿, 𝗜 𝘁𝗵𝗼𝘂𝗴𝗵𝘁: “𝗧𝗵𝗮𝘁 𝘄𝗮𝘀 𝗶𝘁.” I took the call from the car. Two tired kids in the backseat constantly asking, “Are we there yet?!” And poor cell phone reception on top of it all. But instead of the end, it was the beginning of recording the first two introductory courses on Agentic AI on the platform. Just shy of 15,000 learners have taken them in the past 5 months! That’s why I’m so excited to see LinkedIn Learning launch AI Skill Pathways this week, which will enable more learners to upskill on AI. My courses are included and available to you even without a subscription until the end of July. In 23 minutes per course, you can acquire a foundational understanding of: Agentic AI: Challenges and Opportunities for Leadership https://lnkd.in/dutkAUWQ AI Agents: Preparing Your Organization for Change as a Business Leader https://lnkd.in/dcRS9-KE There’s never been a better time than now to upskill on AI! Whether you’re a business leader, team member, or L&D expert, check out 150+ pathways to help you develop, practice, and validate skills at all levels of AI knowledge and expertise and by role. 𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝘁𝗮𝗸𝗲𝗻 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗰𝗼𝘂𝗿𝘀𝗲𝘀, 𝘆𝗲𝘁? #AISkillPathways #ArtificialIntelligence #AgenticAI Alison Katlyn

🚨 𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚 𝗡𝗘𝗪𝗦: 𝗔𝗜 𝘄𝗮𝘀 𝗷𝘂𝘀𝘁 𝗮 𝗳𝗮𝗱! (Sorry to disappoint you...) It's actually NOT going away. Here are the top resources to elevate your AI leadership skills: 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗰𝗼𝘂𝗿𝘀𝗲𝘀: AI Agents: Preparing Your Organization for Change as a Business Leader https://lnkd.in/d2ngy-Ty Agentic AI: Challenges and Opportunities for Leadership https://lnkd.in/dE6k5ZYt 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀: Get one thought-provoking article per week in your inbox with "The AI MEMO": https://lnkd.in/g9BgxaXZ Listen to the "What's the BUZZ?" podcast to learn how AI leaders are turning hype into outcomes: https://lnkd.in/dibKpBRb Elevate your AI leadership skills with the “AI Leadership Handbook”: https://lnkd.in/dM7GgaZt (available as paperback, e-book, and AI-voice-clone-narrated audiobook) 𝗔𝗻𝗱 𝗿𝗲𝗮𝗰𝗵 𝗼𝘂𝘁 𝗳𝗼𝗿 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗸𝗲𝘆𝗻𝗼𝘁𝗲𝘀, 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽𝘀, 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴𝘀 𝘁𝗼 𝗶𝗻𝘀𝗽𝗶𝗿𝗲 𝘆𝗼𝘂𝗿 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝘁𝗲𝗮𝗺 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗔𝗜 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀. #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing

𝗛𝗮𝘀 𝗠𝗲𝘁𝗮 𝘀𝘁𝗼𝗹𝗲𝗻 𝗼𝘂𝗿 𝟳-𝘆𝗲𝗮𝗿 𝗼𝗹𝗱 𝗔𝗜 𝗽𝗮𝗽𝗲𝗿? (I checked...) Another day. Another headline! This one is serious, though. And this time, it's Meta—the proponent of open-source GenAI models. The "good guys" in the AI arms race. To train Meta's Llama 3 model, engineers ingested millions of books and scientific papers they could find on the internet. I found a paper I've co-authored in the mix, too. Some authors have had 100s of their papers and books gobbled up. 𝗜𝘀 𝗶𝘁 𝗼𝗸𝗮𝘆 𝗳𝗼𝗿 𝗕𝗶𝗴 𝗧𝗲𝗰𝗵 𝘁𝗼 𝘂𝘀𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗲𝗰𝘁𝘂𝗮𝗹 𝗽𝗿𝗼𝗽𝗲𝗿𝘁𝘆 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗽𝗮𝘆𝗶𝗻𝗴 𝗿𝗼𝘆𝗮𝗹𝘁𝗶𝗲𝘀? #ArtificialIntelligence #GenerativeAI #Meta

𝗪𝗵𝗮𝘁 𝗱𝗼 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗸𝗻𝗼𝘄 𝗮𝗯𝗼𝘂𝘁 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜? Agentic AI is everywhere in the tech headlines—but what does it really mean for business leaders and their teams? In this live Office Hours session, LinkedIn Learning instructors 𝗔𝗻𝗱𝗿𝗲𝗮𝘀 𝗪𝗲𝗹𝘀𝗰𝗵 and 𝗖𝗵𝗮𝗿𝗹𝗲𝗻𝗲 𝗟𝗶 break down the hype and explain what decision-makers need to know about this rapidly evolving space. This session will explore: • Whether AI agents are genuinely transformative—or just automation 2.0 • How major enterprise vendors are productizing agentic capabilities • What a practical, low-risk starting point looks like for companies and teams • What to make of bold leadership memos like the one from Spotify’s CEO—and whether that’s a signal of what’s to come • Why concerns about job loss often miss the bigger picture: skills need to evolve, not disappear With the right mindset and tools with which leaders can empower their teams to adapt, experiment, and stay competitive. Join this session to learn how Agentic AI fits into today’s workplace. 𝗪𝗵𝗮𝘁’𝘀 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝘆𝗼𝘂’𝗱 𝗹𝗶𝗸𝗲 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻 𝗮𝗯𝗼𝘂𝘁 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜? —— Learn what AI Agents can do for your businsss with our courses: —— 𝗔𝗻𝗱𝗿𝗲𝗮𝘀 𝗪𝗲𝗹𝘀𝗰𝗵 is an internationally recognized AI leader, advisor, speaker, and best-selling author. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗖𝗵𝗮𝗻𝗴𝗲 𝗮𝘀 𝗮 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗟𝗲𝗮𝗱𝗲𝗿 https://lnkd.in/dK8bkYkh 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗮𝗻𝗱 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗼𝗿 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 https://lnkd.in/dR7YGfK5 𝗖𝗵𝗮𝗿𝗹𝗲𝗻𝗲 𝗟𝗶 is a best-selling business author and speaker on leadership, strategy, and branding. 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗮𝗻𝗱 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 https://lnkd.in/dzJYh8ui 𝗧𝗵𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗿'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗠𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 https://lnkd.in/dN8PEyaa #AISkillPathways #ArtificialIntelligence #AgenticAI #Leadership

𝗪𝗼𝘄! 𝗧𝗵𝗮𝘁 𝗱𝗶𝗱𝗻’𝘁 𝘁𝗮𝗸𝗲 𝗹𝗼𝗻𝗴! As quickly as vibecoding was pushed, the gaps are now starting to appear: Security holes. Bugs. And little idea how the app actually works. Three conclusions at this stage: 1) AI doesn’t replace the need for foundational knowledge (to judge the quality of the output) 2) AI augments humans’ skills (but it doesn’t replace them) 3) AI democratizes software development (all you need is an idea) 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝗰𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻𝘀?—𝗛𝗮𝘃𝗲 𝘄𝗲 𝘀𝗲𝗲𝗻 𝗻𝗼𝘁𝗵𝗶𝗻𝗴 𝘆𝗲𝘁? PS: On a personal note, I’ll be spending some more time on my vibecoding project this weekend. Good vibes only! ✌🏻 #ArtificialIntelligence #GenerativeAI #Vibecoding #IntelligenceBriefing

Elon: “We have exhausted basically the cumulative sum of human knowledge in AI training." (Jan '25) Sam: "We are launching a new thing today—images in chatgpt!" (Mar '25) Every AI influencer: "Look what I created using a picture of myself—and you should do it, too!" Sam responds: (Thank you for giving us your data...) "Our GPUs are melting." So much for running out of data...huh? #ArtificialIntelligence #GenerativeAI #OpenAI

𝗔𝗱𝗼𝗽𝘁𝗶𝗻𝗴 𝗔𝗜 𝗶𝗻 𝗮 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗶𝘀 𝗻𝗼 𝗰𝗵𝗶𝗹𝗱’𝘀 𝗽𝗹𝗮𝘆. (The key is moving from simulation to implementation.) It’s a strategic commitment. It requires clear direction, measurable outcomes, organizational readiness—and the right leadership to drive it. Too many companies are still playing around with AI, stuck in prototype loops or pilot purgatory. What’s needed isn’t a gimmick—but action. That’s where I come in. As a top 10 AI Advisor and Thought Leader, I help enterprise leaders: - Define a focused AI strategy tied to business KPIs - Build AI opportunity roadmaps that drive ROI - Set up effective organizational structures and governance - Train leadership teams to make confident, informed decisions - Upskill teams how to use AI tools with impact - Inspire business audiences in keynotes and workshops to make AI tangible 𝗜𝗳 𝘆𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗶𝘀 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗵𝗲𝗹𝗽 𝘁𝗼 𝗴𝗲𝘁 𝘀𝗲𝗿𝗶𝗼𝘂𝘀 𝗮𝗯𝗼𝘂𝘁 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀—𝗹𝗲𝘁’𝘀 𝘁𝗮𝗹𝗸. #ArtificialIntelligence #GenerativeAI #IntelligenceBriefing