Patrick Klingler

🤖 They drive Data & AI to value. The Data:Lab team in Munich is pioneering in the field of artificial intelligence. With practical research and development, they have created many technological and methodological foundations for the AI use cases that we have implemented as Global IT. Always under the premise of value contribution to our company. Now we are scaling what has been achieved. Integrated into our ONE STRONG GLOBAL NETWORK, we make well aligned use of the know-how and capacities in our entire IT organization. This will make us even faster and more efficient in the rollout of AI applications. The topic of Data & AI is gaining momentum throughout the Group, in all brands, regions and business areas. And all together, we drive it to value.

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#AlephAlpha, the German #AI #startup, has announced they are halting work on Large Language Models (#LLM). But is this a clever strategic decision or a missed opportunity? 🤔 As we see major players like OpenAI’s GPT-4, Google’s Gemini Ultra, and Meta’s LLaMA rapidly expanding, LLMs seem to be dominating the AI landscape. These models are trained on massive datasets, using billions of parameters. But here’s the point – building these foundation models requires billions in monetary investment and specialized talent. So, realizing a positive business case has proven difficult. It’s no surprise that only a handful of #tech giants can afford to compete. ➡️ What’s next? My prediction: While a few large players will continue building foundation models, most companies will shift their focus to building applications and services on top of these models, especially in niche markets. ℹ️ Take Aleph Alpha, for example. They're now pivoting to #PhariaAI, an operating system for generative AI (#GenAI). Even OpenAI’s latest model series, OpenAI o1, is designed to solve specialized problems in science, math, and coding. So, what’s your take? Will we see more foundational models, or is the future all about specialized AI services? 👇 📱 Source:

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🔥 Get exclusive access to the Product Discovery Cheat Sheet 🔥 with 26 Product Discovery Methods that will enable you to "build the RIGHT THING" and not just "build the THING RIGHT" for your users. At konversionsKRAFT AG, we collected the most relevant methods that we have used in order to help our clients build and grow their digital products - you can use this board to evaluate your status quo and select the matching methods based on where you stand. To get access, follow these simple steps: 1️⃣ Connect with me and Anastasia Shvedova 2️⃣ Like this post ❤️  3️⃣ Comment on this post ("Brilliant, I want access!") 🚨 Disclaimer: this is the first version of the Product Discovery Cheat Sheet and we are looking forward to your questions and feedback while you are using it. Please feel free to approach us any time with your thoughts! #productdiscovery #discoverycheatsheet #productexperimentation #cromethods #testing #experimentation #growthmarketingsummit #growthmindedsuperheros #productmanagement

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🚀 Accelerating (Gen)AI competence at Mercedes-Benz Group AG with the #GenAI Campaign! 🎓 I recently held my last impulse talk about about how to leverage tangible business value with #AI, including #GenAI. I received this great opportunity to inspire more than 1.000 business experts to help them understanding the potentials and limitations of AI. Besides my contribution, there is a big choice of impulse talks, web-based trainings and readings available, severing thousands of people. Many thanks to everyone who joined, listened and took part at the discussions! 🙏 💻 GenAI isn‘t only a tool for #data and AI experts but for all office workers to boost #productivity. It dramatically reduces the barriers to use AI disciplines like natural language processing, image processing or data mining. For this reason, everybody has to be equipped with the ability to map AI capabilities to the business domain you are working in. 🙏 Many thanks to Silke Silva and all other colleagues of MB Learning who are the driving forces behind this valuable program! 👏 🎄🎓Are you also interested in getting more than just holiday weight over Christmas break? You‘re invited to join my #Udemy course to learn the essentials of applied AI and receive a Christmas discount for registration. Happy learning! ➡️ https://lnkd.in/eFRyfX6F ➡️ Voucher code: AI4CHRISTMAS #artificialintelligence #datascience #machinelearning #learning #training

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𝐂𝐡𝐚𝐭𝐆𝐏𝐓 - 𝐈𝐦𝐢𝐭𝐚𝐭𝐢𝐧𝐠 𝐨𝐮𝐫 𝐨𝐰𝐧 𝐯𝐨𝐢𝐜𝐞: 𝐂𝐫𝐞𝐞𝐩𝐲 𝐚𝐧𝐝/𝐨𝐫 𝐚𝐧 𝐚𝐦𝐚𝐳𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭? The idea that ChatGPT might suddenly start imitating your own voice during a conversation is unsettling. BuzzFeed data expert Max Woolf aptly wrote on X, "OpenAI just revealed the plot for the next season of Black Mirror." Perspective 1: The technology behind GPT-4o is groundbreaking – it can mimic human voices with uncanny accuracy, elevating AI interaction to a new level. OpenAI emphasizes that safeguards have been implemented to prevent misuse. Perspective 2: However, the fact that the AI "unexpectedly" imitated the user's voice raises serious concerns. Is it really acceptable for an AI to so easily take over your voice? And once again, a report that mainly highlights the risks. How can we arrive at a neutral assessment? 𝐖𝐡𝐚𝐭 𝐝𝐨 𝐲𝐨𝐮 𝐭𝐡𝐢𝐧𝐤? 𝐂𝐫𝐞𝐞𝐩𝐲 𝐚𝐧𝐝/𝐨𝐫 𝐚𝐧 𝐚𝐦𝐚𝐳𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭? https://lnkd.in/eQBT68yb

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Rapid prototyping is a catalyst for learning, collaboration, and creating tangible solutions to pressing problems. It ensures that prioritization discussions are transparent and meaningful for everyone involved. Make sure to follow for more discussions about business transformation. #BusinessIntelligence #AgileBI

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Apple didn’t do it, xiaomi did it. Copying the Germans car makers and adding modern user experience on top, all for an incredible price. So far so good, German car manufacturers, what’s your next move ? ♟️ #xiaomi #automotiveindustry #automotivenews #automotivetechnology

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"🚀 Start Your Engines! The #ForumUnternehmerTUM 2024 is gearing up in Munich, poised to explore resilience in business and society. This gathering is the perfect setting for visionaries to connect, fostering rich dialogues and innovative solutions in #ArtificialIntelligence, #Innovation, and responsible leadership. Can’t wait to delve into these transformative discussions! #Leadership #Sustainability"

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🔥 "Give your awesome data work the spotlight and impact it deserves." This was my rallying cry at our recent Munich Datageeks e.V. Meetup, where I had the opportunity of presenting "Attention is (almost) all you need - Storytelling for Datageeks." 🤯 As data professionals, we often find ourselves immersed in algorithms, databases, and complex analyses. But how often do our brilliant ideas go unnoticed?   💡 Over the years, I've experienced that great ideas or content doesn't always speak for itself – sometimes, it needs a little help to unfold its full impact. In my talk, I addressed a key challenge: How can we harness the power of storytelling to amplify our work's impact without becoming Storygeeks or sacrificing precious time for our core data responsibilities? To tackle this, I shared what I’ve seen work best - both in my own experience and for others to make our data projects more compelling without compromising our data-driven focus.   📝 I really enjoyed the plentiful questions and engaging discussions afterwards with our community. As some of you asked me to share the four takeaways for storytelling in practice, tailored to different awareness levels and time constraints, I am happy to do so - see PDF👇🏻   📘 Beside the great and inspiring books of Nancy Duarte (resonate, Data Story), Brent Dykes (Effective Data Storytelling) or Donald Miller (Building a Storybrand), that I can really recommend – you will for sure find many other great sources of inspiration that I may have missed so far. Let me know… 😉   🎯 Our data ideas, discoveries, and products have the power to propel research, businesses, and society to thrive. Don't let the fear of "marketing" hold you back. A touch of storytelling can transform the way your data work is received, ensuring it gets the attention it deserves – and the impact you strive for. PS: the Post It for Situation, Complication, Resolution is intentionally Verivox GmbH - branded - as we use this approach a lot (for good reasons). 😉

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"It's like they turn data into art!" Amazing job Elisabeth Gamperl and Julia Kandler and teams for this year's personal SZ review! 👉 www.sz.de/mein-2024 For me, another crazy year with AI has almost passed and, of course, I had to create a special version of my personal SZ review. So I fed mine into Google's NotebookLM and let it create an (English) podcast which I put into a video with one of the sharing cards and auto captions. While this has been super fun, there are also two messages in this which I'd like to share - one for data and one for product people: Data only becomes really useful when you start telling stories. I love how in the podcast they actually interpret the stats of my SZ reading behavior and discuss them. Why was the election bot my favorite article? Why do I read most on Mondays and at nights? What does it tell about me and who am I? “Maybe she was just curious about those bots everyone was taking about.” From time to time, product requires some crazy shots. We want to solve (user) problems and it's absolutely right to focus on that. NotebookLM (and probably also my audio SZ 2024 review) isn't something that people have asked for though and it's unclear (to me) what user problem it solves. Yet it has become so popular, fuels creativity and might inspire real products. Do what you want to and experiment every now and then! #datastorytelling #productinnovation #genai

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👉 𝐀𝐈 + 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬 2024 After the big event in June, Data Masterclass goes into the next round on September 26th with a focus on #AI and #Analytics. ❓ Till Plumbaum and me will answer the following questions: - How do you ensure output quality for #LLMs? - How do you evaluate LLMs (#LLMevaluation)? - How do you mitigate associated risks?

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🚀 Exciting News for European AI and Data Innovation! 🚨 📢 As a data specialist, I am thrilled for this announcement: DataHub Europe is here! 😎 👏 The platform, a collaboration between Schwarz Digits, Deutsche Bahn , and top European institutions like Aleph Alpha, DFKI, and TU Darmstadt, is hosted on STACKIT Cloud. This initiative, announced at the German government's yesterday during the Digital Summit 2024, marks a critical milestone for Europe in achieving digital independence. By bringing together leading industrial, media, and research partners, Europe is collectively moving towards a future where "AI made in Europe" leads the way. ☘️ What’s even more impressive is the commitment to data sovereignty, #GDPR compliance, and alignment with the EU AI Act. The platform demonstrates how AI innovation can thrive within the highest standards of data protection, while fostering collaboration across industries. 🤝 With DataHub Europe running on #STACKIT Cloud, the potential for groundbreaking AI applications is limitless! 🌍 #DataHubEurope #AIinnovation #DigitalIndependence #Data

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Lieber besser vorher die #User #Community fragen, bevor man #große #Deals abschließt, um mit ihren Daten #AI zu trainieren: "#Stack #Overflow users sabotage their posts after #OpenAI deal Anti-AI users who change or delete answers in protest are being punished." "I hate this. I'm just going to delete/deface my answers one by one," wrote one user on sister site Stack Exchange. "I don't care if this is against your silly policies, because as this announcement shows, your policies can change at a whim without prior consultation of your stakeholders. You don't care about your users, I don't care about you." https://lnkd.in/emqQSkk9

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The first project that gets all my attention focuses on Commercial Excellence in the pharmaceutical industry. As a cancer survivor, this has been both exciting and encouraging for me. 🎀 The innovation being driven by new technology even in its various intricate regulatory restriction, is truly astonishing. The future promises a more integrated healthcare system. I strongly believe in incorporating more holistic approaches into #healthcare. A #DigitalTwin could change how we think about next best actions in a way that makes sense for the industry and is the best for the patient. Bringing conversations like this to the forefront, especially with experts from #Grünenthal, #Pfzier, #Bayer and other pace setters in this industry, is very enlightening. #GenerativeAI, makes me more confident than ever that there is a better way to do things. This is a great step forward in getting to understand those limitations and possibilities. Looking forward to learning more and onboarding great minds!

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Are we asking the right questions? Leading virtual teams - distributed, asynchronous, collaborative… what’s most important? For me: 1. Giving and Rising #Trust 2. Triggering #Creativity and #Growth 3. Sharing #Responsibility 4. Ensuring #Productivity 5. Establish #Belonging / #Connection 6. Ensuring #Health and #Growth … those are not “extra” tasks, but the result of emotional leadership, mature use of todays NewWork communication and collaboration and ability to role model digital skills (and digital tools) … once capable of leading like that “in the digital age”, you’re ready to work with #networks and #communities too. The origin/trigger of this has been a LinkedIn Post, asking people to share their experience /together with #AI. I really like those reflections, just in my eyes the topics in the LinkedIn post are not going in the right direction, as they just repeat, what management has always done/asked in the past Well, it’s also a known issue with AI generated /but also human issue: “applying past knowledge to todays/future challenges” What do you think? What are your most relevant focus topics/experiences around leading virtual teams? Here are my answers - trying to change focus: https://lnkd.in/dQ-RuVaB

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Due to some lunch talks in the last weeks about books, i thought it could be valuable for you, to share a bit about my book readings from this year. No. 1 "Gamification, Digitization and Industry 4.0" is an interesting book for anyone dealing with the creation of new SaaS products, the future of work and general tech. management. It offers from my opinion valuable insights into the opportunities that arise from the digital transformation and shows how gamification can be used to seize these opportunities. In all of the three dimensions: product development, future of work and management as such. Everything explained on real gamification examples. Target group: all product developer, product manager and software manager, software developer, ux folks which are or want to work in the SaaS business or/and are (they should!) interested in the future of work. https://lnkd.in/eAWYGMUB #gamification #industry40 #digital #futureofwork #book #recommendation

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𝗬𝗼𝘂 𝗱𝗼𝗻'𝘁 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝗲𝗰𝗼𝗺𝗲 𝗱𝗮𝘁𝗮-𝗱𝗿𝗶𝘃𝗲𝗻! 𝗝𝘂𝘀𝘁 𝗮𝘃𝗼𝗶𝗱 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗱𝗮𝘁𝗮-𝘀𝘁𝘂𝗽𝗶𝗱. When a company aims for using data more efficiently to support its vision, everybody is speaking of becoming data-driven. Recently other people came up with alternative terms like data-supported, -guided or -inspired (famously coined by fellow Dr. Sebastian Wernicke). But why are smart people from Data suddenly coming up with other phrases? To my experience, this is because a lot of companies (and people) actually became data-stupid, when trying to leverage the potential of Data. But what does data-stupid mean: ❌Using data only for increasing efficiency ❌Stop the data-journey after harvesting the low-hanging fruits 🍎🍐 ❌Investing only in low-risk or no-risk projects While this gives a short-term boost in many relevant KPIs (esp. short-term earnings), it can severely harm the companies long-term performance. De-risking the product portfolio is a great way to hinder innovation and become outdated by the competition. Instead a good data strategy also means: 💡Exploring new data-based products 💡Taking more calculated risks in developing new products and services 💡Spend efficiency savings on strategic projects That way the data journey: ✅Supports the companies long-term success ✅Actively contributes to revenue Did you ever see someone actually become data-stupid? What is your favorite data-phrase?

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𝗣𝗹𝗲𝗮𝘀𝗲 𝘂𝘀𝗲 𝘆𝗼𝘂𝗿 𝗯𝗿𝗮𝗶𝗻 🧠 𝘄𝗵𝗲𝗻 𝘂𝘁𝗶𝗹𝗶𝘇𝗶𝗻𝗴 𝗚𝗲𝗻𝗔𝗜. 𝗘𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗹𝘆 𝗶𝗻 𝘀𝗼𝗰𝗶𝗮𝗹 𝗺𝗲𝗱𝗶𝗮! More and more Tools and even social media platforms offer integration of GenAI for content creation. And so often when I see people using them it reminds me of the "Magic the Gathering" Card "Mindless Automaton" (the german translation is even more hilarious). Just automatically generated, flavorless, mindless phrases stitched together to form an amalgam of arbitrariness. 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘀𝗲𝗲: • Zero emotions. • No opinion. • Just a waste of time. 𝗧𝗵𝗲 𝘀𝗮𝗱 𝗽𝗮𝗿𝘁: 𝗚𝗲𝗻𝗔𝗜 𝗰𝗼𝘂𝗹𝗱 𝗿𝗲𝗮𝗹𝗹𝘆 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘁𝗵𝗲𝗿𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗶𝗻𝗴𝘀: • Come up with a draft you can edit. • Gather your ideas. • Structure your thoughts. • Correct your mistakes (you'll find plenty here as this post is hand-written) 𝗢𝗿 𝗲𝘃𝗲𝗻 𝗴𝗼 𝗵𝗮𝗿𝗱𝗰𝗼𝗿𝗲: • Finetune a model with your body of work • Make it recreate your style   Then edit and adapt to make it truly your content. 𝗦𝗼 𝘁𝗼 𝗸𝗲𝗲𝗽 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝘀𝗼𝗺𝗲𝘄𝗵𝗮𝘁 𝗵𝘂𝗺𝗮𝗻: • Please use your most valuable asset (🧠) • Don't become an AI Clown 🤡 • Or a mindless posting machine. 𝗙𝗼𝗿 𝘁𝗵𝗲 𝗰𝗼𝗺𝗺𝗲𝗻𝘁𝘀 𝗵𝗲𝗿𝗲 𝗻𝗼𝘄 𝗶𝘁 𝘆𝗼𝘂𝗿 𝘁𝘂𝗿𝗻: Why is MtG the best game in the world? Are you botting? For a shoutout use🧠 emote and tag your favorite human content creator. Or start a witch hunt with the🧙emoji and tag your best spambot (NO don't do it, just kidding)

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