Joerg Funder, Prof. Dr.’s Post

🌟 Event Alert: Ladies in #Logistics & AI. Looking forward to a great #SupplyChain Event hosted by BVL - Bundesvereinigung Logistik and PwC on June 11. Registration and more information below. Paretos CEO & Co-Founder Thorsten Heilig will be on stage to showcase how companies can and should leverage #DecisionIntelligence for more efficient and sustainable #SCM. #event #ceoinsights #supplychainmanagement #paretos

📢 We're excited to share an exclusive interview with Dr. Andreas Liebl, Managing Director of appliedAI Initiative GmbH featured in Handelsblatt. 📰 Key Takeaways: 1️⃣ AI’s Potential in Product and Service Innovation: AI is now a standard tool, used in optimization systems and computer vision, like Miele's new ovens and Linde's gas separation controls. 2️⃣ Network Effects and Data Sharing: AI benefits more from data sharing than model sharing. Federated learning, which trains models on local servers, encourages new types of collaboration. 3️⃣ Competitive Advantage through AI: Not using AI puts companies at a disadvantage. Integrating AI accelerates processes, enhances quality, and drives innovation, from customer service to production efficiency. 4️⃣ Challenges in AI Implementation: Implementing AI needs a strategic, committed approach. Companies must build maturity step-by-step to fully realize AI’s potential. 5️⃣ The Importance of Experimentation: Strategic experimentation with AI is crucial. Companies should aim for scalable, long-term solutions instead of getting stuck in endless trials. 💡Additionally, Dr. Liebl emphasizes the need for a clear vision to unlock AI’s full potential. Companies must ensure that their AI implementation is sustainable and scalable to maintain competitiveness. 👉 Ready to explore how AI can transform your business? Read the full interview for more insights: https://lnkd.in/dS_jxxMq #AI #ArtificialIntelligence #Innovation #BusinessTransformation #AIinBusiness #AppliedAI #Handelsblatt #AILeadership #FutureOfWork #DigitalTransformation #AICompliance

AI offers enormous opportunities for the automotive industry – how can your company benefit? 🚗🤖 My colleague Christoph Nützel dives into specific use cases and strategies in his latest blog post, exploring how companies can leverage AI to shape the future of mobility.

👍🏻From CIO to C-AI-O 👍🏻 By 2029, CIOs are expected to evolve into C-AI-Os, taking on a pivotal role in shaping their companies' strategies and operations with ML and AI. This article from Tobias Regenfuß is in German, but let me summarize my Key Takeaways: ➡️AI at the Core: By 2029, ML will be embedded in every aspect of business, driving competitiveness and innovation. GenAI will be (and in certain areas already is) commodity. 📉Data Mastery: The ability to harness data and AI effectively will be a critical differentiator for companies. 💪🏻Expanded Responsibilities: C-AI-Os will utilize robust AI platforms and ensure responsible AI governance. 🌍Integrated Data Ecosystem: Leading companies will seamlessly connect data from classical business IT, external research and market data and all kinds of agents through AI-driven data platforms, emphasizing data quality. How do you see AI transforming leadership roles and business strategies in your industry over the next five years?

I'm excited to share that I recently had the opportunity to write a guest article for the latest issue of maschinenbau. Das Schweizer Industriemagazin on the topic of AI in logistics.   In the article, I explore how AI is poised to revolutionize the Swiss logistics industry, from optimizing routes and enhancing warehouse safety to enabling predictive maintenance and more sustainable supply chains. However, companies also need to be mindful of challenges such as over-automation and the need for upskilling employees to thrive in an AI-driven future.   You can read the full article here: https://lnkd.in/dffFTS_P   #Accenture #Logistics #AI #Switzerland

❓ What are the next steps of the AI revolution ❓ Fabian Hefner and I have summarized our perspective and the most important developments and required next steps in the Handelsblatt Live blog article below. 👇 1️⃣ : Accessibility of internal company knowledge by AI 👩🎓 2️⃣ : Process improvements with AI 💫 3️⃣ : Improvement of integrated processes with AI🏗 4️⃣ : Scaling of AI ↗ 5️⃣ : Responsible exponential growth of productivity 🚀 We set in context how organizations can react on and prepare for those developements. If you plan to attend the Handelsblatt KI Summit then do not miss to attend Björn Bringmann's session on his perspective of AI in Europe! 💡 Feel free to reach out for further discussions! And if you are still going for a ticket, then do not hesitate to reach out to me for potential discounted tickets. Dr. Sarah J. Becker Dr. Jan-Niklas Keltsch Peter Fach Alexander Mogg Stephan Schuessler Marc Beierschoder Nicole Tranker Liegl Dr. Marco Pötke Benjamin S. Fritz Thomas Gonnermann

🚀 Is your company navigating the complexities of AI implementation? Discover a structured framework that can elevate your AI initiatives to new heights! Our latest article introduces the AI-Stage-Gate Model – a game-changer for companies striving to systematically develop and expand AI projects. From the initial "Minimum Loveable Idea" to full-scale enterprise deployment, this five-phase approach ensures focused progress and increased success rates. 🔍 Uncover how each phase, marked by specific criteria, helps drive innovation while prompting companies to reevaluate and improve existing processes. This methodical strategy is critical for businesses amid digital transformation, ensuring that AI efforts are effective and strategically executed. If you want to know more, click here: https://lnkd.in/ew-z-D7H #genAI #stagegate #TransformOrDie

Companies at the GenAI crossroads. After experimenting last year, companies are now investing in GenAI quickly and at scale – with different expectations. The clock is ticking. According to professional services provider Genpact and analyst firm HFS Research, companies only have two years to exploit the full potential of generative AI before they face competitive disadvantages. This is the conclusion of a recent survey (Link in the article)) of 550 executives. The study divides companies into four AI maturity levels based on their investments and the extent of AI implementation: - Pioneers (5 percent) are taking a leading role in integration and setting benchmarks because they expect AI technologies to have a direct impact on their growth, such as a higher market share and competitive advantages. - Fast Followers (27 percent) uses AI strategically to achieve efficiencies and focus on using AI to improve the customer experience. - Hesitant and observers (45 percent) are postponing investments because they want to use AI primarily to increase operational efficiency and productivity. - Refusers (23 percent) are opposed to generativeAI, skeptical and miss out on potential innovations. At which materity level are You? When do you plan to move on? What do You expect to achieve? Read more in the article .... https://lnkd.in/dahfxjSH #GenAI #companies #invest #competition #Study #Genpact #HFSResearch #MaturityLevel #expectations

Swarm intelligence, also known as collective intelligence, refers to the phenomenon where groups of individuals collaborate and interact to find solutions that are better than those of the individual members. When swarm intelligence is combined with artificial intelligence (AI), remarkable advantages emerge that can promote both efficiency and innovation. One major advantage of this combination lies in improved decision-making. By using AI algorithms, large amounts of data can be analyzed to identify patterns and trends that would be difficult for humans to grasp. This data analysis can then be supplemented by the collective intelligence of a group, which proposes creative and flexible solutions. Quentities.com, a platform specializing in collective intelligence, demonstrates how companies can develop better business strategies by integrating swarm intelligence and AI. Here, the insights from AI are combined with the experiences and knowledge of employees to make informed decisions. Another advantage is scalability. AI systems can process large amounts of data in real-time, thereby supporting the collective decision-making process. This enables companies to respond quickly to market changes and adjust their strategies accordingly. Finally, the combination of swarm intelligence and AI fosters innovation. By collaborating with different perspectives and analyzing large data sets, new ideas and solutions can be developed that were previously not possible. This leads to a more dynamic and adaptable corporate culture that is capable of meeting the challenges of the modern market. #SwarmIntelligence #CollectiveIntelligence #ArtificialIntelligence #AI #MachineLearning #AIInnovation #SmartTechnology #DataScience #AIResearch #FutureOfAI #TechInnovation #AIRevolution #AICommunity #DeepLearning #TechTrends #AIApplications #AIDevelopment #DigitalTransformation #BigData #AIandSwarmIntelligence

Just finished the course “Generative AI for Business Leaders” by Tomer Cohen! Check it out: https://lnkd.in/ehjCb5w5 #generativeai #artificialintelligenceforbusiness.