Dr. Johannes Rippberger

💡 BARC-QLIK-Study: The Future of BI & Analytics. Adopting Generative AI for Analytics: Early Trends, Lessons and Best Practices (Teil 6 von 8)

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I have stilll in mind your keynote speech at ManCon. One key take away - start thinking - start change.

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Thanks to Martin Moeller for sharing this insightful report and commentary. Aside from how the market for engaging with AI takes shape, there is so much growth to be expected across AI that it’s a truly exciting and energizing time to be engaged in this space. The relevance of applications that deliver tailored AI-powered experiences will only continue to increase.

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𝗜𝗻𝘃𝗲𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗬𝗼𝘂𝗿 𝗨𝘀𝗲𝗿𝘀 𝗪𝗶𝗹𝗹 𝗗𝗿𝗶𝘃𝗲 𝗬𝗼𝘂𝗿 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗳𝗳𝗼𝗿𝘁𝘀 At the last Celosphere, Bayer AG earned the Celonis Game Changer Award for Excellence. One of their key success factors was achieving widespread adoption across the organization. - In 2023, they raised Process Mining awareness among 5,000 employees, delivered 3,900 trainings, and increased the user base from 300 to 2,700 people. - However, this success didn't come overnight. They have been using Celonis for 12 years, constantly evolving their solutions and onboarding new users. Their consistency paid off, showing that Digital Transformation is a marathon, not a sprint. - They have created a culture of continuous improvement, empowering employees to drive process improvements across the entire organization. - And they are not resting on their success. They are now working to onboard even more users by leveraging the capabilities of the Celonis Process Copilot. This will ease interaction with Celonis and deliver faster insights to all existing and new users. Bayer AG’s journey proves that investing in users boosts the usage, adoption rate, and effectiveness of your solutions. Their consistent commitment to innovation has paid off, making them a leader in Process Mining. Credit to Tom Smith for sharing the insights in his article. How are you taking care of your user base? Share your thoughts and experiences! #ProcessMining #DigitalTransformation #ProcessOptimization

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Very insightful report about AI

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Unlock the Power of Generative AI for Customer Segmentation German companies are embracing Generative AI to transform how they segment customers and score leads. With 49.4% already using or planning to use AI for data analysis, it’s clear this technology is revolutionizing B2B sales. AI can analyze unstructured data like purchasing habits and online behavior to create detailed customer segments, enabling sales teams to: ✅ Tailor their outreach to specific segments ✅ Prioritize high-value leads with AI-powered lead scoring ✅ Improve engagement by understanding each segment's unique needs With AI, customer segmentation is no longer a guessing game—it's driven by data. 🚀 How are you using AI to enhance your customer segmentation strategy? #AIMastery #B2BSales #SalesStrategy #CustomerSegmentation #LeadScoring #AIinSales #DigitalTransformation

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+++ Expanding the automation horizon in #manufacturing with GenAI-enhanced #robotics +++ New automation opportunities can unlock huge productivity gains in manufacturing over the upcoming years +++   🤖 New Automation Capabilities: The integration of GenAI and advanced robotics is redefining automation in manufacturing. By enabling robots to identify objects and understand their environments, we can now automate the handling of a huge array of products & parts. Covariant has successfully demonstrated it. 🚀 Profitable automation: GenAI not only enhances the technological capabilities of robots but also significantly slashes the cost of automation. The increased versatility of robots coupled with easier programming—through simple prompts or verbal commands—means automation becomes financially feasible in many situations.   Stay connected as we continue to explore and expand the potential of AI and robotics in transforming towards the #FactoryoftheFuture. #Innovation #Technology #AI Source: https://lnkd.in/ggBMW_62

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Next Level AI: Anthropic Sets A New Benchmark! 🏆🚀 The artificial intelligence sphere is buzzing with groundbreaking news! Anthropic, the AI research lab co-founded by the Amodei siblings, Dario and Daniela, just made a remarkable breakthrough in the world of Artificial Intelligence, aka AI. 🧪🥇 They have launched an AI model that is, by far, the most potent we've seen yet, a truly unprecedented feat! They've taken AI power and performance up a few notches in a bid to push the envelope in AI research and development.💡🏁 This outstanding achievement is set to have ripple effects across industries, marking the dawn of a new era in the use of AI. From healthcare and finance to tech and beyond, businesses are gearing up to leverage this panoramic revolution. 🌐🌅 Kudos to the entire Anthropic team for laying down the gauntlet! They are indeed driving ahead in redefining the horizon of AI capabilities and possibilities. 🍾🎉 And guess what? This is just the beginning! Can't wait to see where this thrilling journey to the future of AI takes us next. Stay tuned to https://lnkd.in/eQkQFbYw for all the latest hypes in the digital world.🎧📥 #AI #Breakthrough #Anthropic #Innovation #TechNews #AIRevolution #TechBuzz🚀

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BARC-QLIK-Study: The Future of BI & Analytics. Adopting Generative AI for Analytics: Early Trends, Lessons and Best Practices (Teil 8 von 8)

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@BMW Group is turning Generative AI concepts into scalable successes with support from @BCG and @BCG X. Many AI projects in the automotive industry often stall at the proof-of-concept stage, but BMW took a different approach. They began by mastering unstructured data, such as contracts and bids, which laid the foundation to integrate, optimize, and transform their workflows, driving stronger business alignment. My colleague @Andrej Levin visited BMW Group’s @Oliver Ganser at their Research and Innovation Center to discuss how to successfully adopt and scale AI. Learn more about their journey here: https://lnkd.in/eFDukUZd #Automotive #GenerativeAI #Innovation #DigitalTransformation

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𝐈𝐬 𝐒𝐰𝐢𝐭𝐳𝐞𝐫𝐥𝐚𝐧𝐝 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐀𝐈 𝐟𝐮𝐭𝐮𝐫𝐞? This weekend, I shared my insights in #Blick about Deloitte Switzerland’s newest AI survey: ✔️ 75% expect AI to make work simpler. ✔️ Yet 37% fear replacement - especially women. ✔️ Without transparent communication, trust falters. The US and China are racing ahead. Are we going to keep up, or miss the AI train entirely? As I mentioned in the interview, “𝑇ℎ𝑒 𝐴𝐼 𝑡𝑟𝑎𝑖𝑛 𝑤𝑜𝑛’𝑡 𝑤𝑎𝑖𝑡.” 𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐥𝐞𝐚𝐝𝐞𝐫𝐬 𝐝𝐨 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐭𝐫𝐮𝐬𝐭 𝐚𝐧𝐝 𝐮𝐧𝐥𝐨𝐜𝐤 𝐀𝐈’𝐬 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥? 1️⃣ 𝐄𝐦𝐩𝐨𝐰𝐞𝐫 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐞𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧: Show your teams how AI tools can help them achieve more in less time. Familiarity erases fear. 2️⃣ 𝐀𝐝𝐝𝐫𝐞𝐬𝐬 𝐟𝐞𝐚𝐫 𝐝𝐢𝐫𝐞𝐜𝐭𝐥𝐲: Ask employees what concerns them most about AI and address it head-on. Building trust starts with listening. 3️⃣ 𝐒𝐭𝐚𝐫𝐭 𝐬𝐦𝐚𝐥𝐥 𝐛𝐮𝐭 𝐯𝐢𝐬𝐢𝐛𝐥𝐞: Lead by example - begin with a small AI pilot program and share the results transparently with your teams. AI isn’t just about tools, it’s about creating a culture of trust and innovation. What’s your take? How are you ensuring transparency in your AI initiatives? #AI #Leadership #Innovation #Deloitte

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“The New Agile Economics” – a great talk by Daniel Vacanti at AgileByExample Conference 2023. About 👉 knowledge of variation, which we all need to be familiar with, if we would like to be successful when transforming the way we work and be truly agile. illustrated with the story of  famous basketball game from 1962, during which Wilt Chamberlain score 100 points.   Talk conclusions? 🔔 All process is variations. 🔔 To be truly agile, it  encompass some level of flow. You have to understand flow to be agile. 🔔 You can have flow without agility. But you can’t have agility without flow. 🔔 We need the New Agile Economics.   Fascinating, inspiring, practical talk. The link you will find in the comment below. #variation #flow #management #agility #abe

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𝐇𝐚𝐬 𝐭𝐡𝐞 𝐀𝐈 𝐖𝐢𝐧𝐭𝐞𝐫 𝐚𝐫𝐫𝐢𝐯𝐞𝐝?🤔 Stanford University publishes the "Artificial Intelligence Index Report" every year. What can be said for 2024? 𝐇𝐮𝐦𝐚𝐧 𝐛𝐞𝐢𝐧𝐠 𝐬𝐭𝐢𝐥𝐥 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐞𝐚𝐝 🧠 Artificial intelligence surpasses human capabilities in individual tasks such as image recognition, but still lags behind human capabilities in more complex tasks. However, progress in AI capabilities is currently continuing at a rapid pace (see example of imaging AI in the photo). 𝐀𝐈 𝐚𝐬 𝐚 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐛𝐨𝐨𝐬𝐭🚀 Studies show that AI helps people in particular to perform their tasks faster and better and can therefore help unskilled workers in particular to perform higher-value tasks. 𝐅𝐞𝐚𝐫 𝐢𝐬 𝐟𝐨𝐥𝐥𝐨𝐰𝐞𝐝 𝐛𝐲 𝐫𝐞𝐠𝐮𝐥𝐚𝐭𝐢𝐨𝐧🔒 It is not only investment and the resulting scientific advances that have risen sharply in the last year, but also people's fears and anxieties. More than half of people (52%) now also have concerns about AI. Consequently, politicians are responding by increasingly regulating the technology, not only in the EU but also in the USA. What are your thoughts on this? Martin Wunderwald Alexander Drechsler #Studie #Stanford #ArtificialIntelligenz #Wissenschaft #KI #ArtificalGeneralIntelligence 𝘚𝘰𝘶𝘳𝘤𝘦: 𝘩𝘵𝘵𝘱𝘴://𝘢𝘪𝘪𝘯𝘥𝘦𝘹.𝘴𝘵𝘢𝘯𝘧𝘰𝘳𝘥.𝘦𝘥𝘶/𝘸𝘱-𝘤𝘰𝘯𝘵𝘦𝘯𝘵/𝘶𝘱𝘭𝘰𝘢𝘥𝘴/2024/04/𝘏𝘈𝘐_2024_𝘈𝘐-𝘐𝘯𝘥𝘦𝘹-𝘙𝘦𝘱𝘰𝘳𝘵.𝘱𝘥𝘧 “𝘛𝘩𝘦 𝘈𝘐 𝘐𝘯𝘥𝘦𝘹 2024 𝘈𝘯𝘯𝘶𝘢𝘭 𝘙𝘦𝘱𝘰𝘳𝘵,” 𝘈𝘐 𝘐𝘯𝘥𝘦𝘹 𝘚𝘵𝘦𝘦𝘳𝘪𝘯𝘨 𝘊𝘰𝘮𝘮𝘪𝘵𝘵𝘦𝘦, 𝘐𝘯𝘴𝘵𝘪𝘵𝘶𝘵𝘦 𝘧𝘰𝘳 𝘏𝘶𝘮𝘢𝘯-𝘊𝘦𝘯𝘵𝘦𝘳𝘦𝘥 𝘈𝘐, 𝘚𝘵𝘢𝘯𝘧𝘰𝘳𝘥 𝘜𝘯𝘪𝘷𝘦𝘳𝘴𝘪𝘵𝘺, 𝘚𝘵𝘢𝘯𝘧𝘰𝘳𝘥, 𝘊𝘈, 𝘈𝘱𝘳𝘪𝘭 2024.

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At BCG, #AI is more than a buzzword. We have not only adopted GenAI tools - we have also embedded them into the very fabric of our operations. And the benefits are standing out. It has allowed us to operate at unprecedented speeds and to drive impactful results a lot quicker.   In this interview with Forbes, my colleague, Vlad Lukic highlights the strategic importance of AI at BCG: https://lnkd.in/eVDzTa27   While we are deploying #GenAI across our operations, one of our favorites is GENE, a creative AI personality originally programmed to be the co-host of a podcast. GENE has evolved into a versatile tool for client engagement and content creation.

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In my last post, I highlighted the transformative potential of generative AI in the workplace. Our latest research shows that 45% of work time in Switzerland could be impacted by gen AI. (read more about it here: https://lnkd.in/dvk37Jmm) This insight aligns with broader global trends. The OECD predicts that 1.1 billion jobs will be transformed by the technology in the next decade. What does this mean for the workforce and the skills needed? How can we responsibly and effectively integrate AI into our workflows to generate value? What does the potential replacement or creation of jobs by AI look like in practice, and what opportunities arise from this? I look forward to discussing these questions as a panelist at the NZZ “Zukunftsdebatte" in Zurich on September 12, together with Afke Schouten, Marisa Tschopp, and Lukas Mäder. Interested to join? Tickets are selling quickly, so register here: https://lnkd.in/dxKHA3bz    Please note: The language of the panel discussion is German.    #AI #GenerativeAI #NZZ #ThoughtLeadership #nzzlive

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Inspired by ulrike reinhards 9 Principles for successful transformation, our team member Benjamin di Lorenzo has written an excellent article on the principle of "systems over objects" in the context of data & AI. 👏🙏 In contrast, most companies today focus on optimizing single objects (entities, actions etc.) with data & AI, but do not transform their system (business model, processes etc.) into a data-driven and AI-powered organization. The starting point is the design of a holisitic data & AI strategy that serves as a guideline for the transformation. Learn more 👇and follow Datentreiber for the next articles about the 9 Principles for Change.

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Auditing AI will be the most challenging task ever ! Complexity and Opacity: AI systems, especially those involving deep learning, can be highly complex and opaque. The decision-making process within these systems can be difficult to interpret and audit. Data Quality and Bias: AI systems are only as good as the data they are trained on. Ensuring data quality and checking for biases is crucial but challenging. Auditors need to assess the data sources, data preprocessing methods, and the potential for bias in the data. Ethical Considerations: Auditors must consider the ethical implications of AI, such as fairness, transparency, and accountability. This involves ensuring that AI systems do not discriminate against certain groups and that their use aligns with ethical standards. Regulatory Compliance: AI systems must comply with various regulations and standards, which can vary by industry and region. Auditors need to be familiar with these requirements and ensure that AI systems adhere to them. Security and Privacy: AI systems can introduce new security and privacy risks. Auditors must evaluate how well these systems protect sensitive data and whether they are vulnerable to attacks, such as adversarial examples or data poisoning. Continuous Monitoring: Unlike traditional systems, AI systems may require continuous monitoring and auditing due to their dynamic nature. They can change over time as they learn from new data, necessitating ongoing oversight. Interdisciplinary Knowledge: Auditing AI requires knowledge of not only IT and cybersecurity but also data science, machine learning, ethics, and specific industry practices. This interdisciplinary nature makes it a challenging field.

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Public sharing this Sunday about "AI+: What is the new paradigm of the consulting services in the era of AI". Details in picture... AI for translation Registration here: https://lnkd.in/eFK-sAmb #ai #consulting #marketintelligence #research

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