Ralf-Dieter Wagner

CIO Look magazine has recognized Cognizant’s Dr. Kathrin Kind as one of the Top AI leaders for 2024 Many congratulations to Dr.Kathrin! Read the interview with her in CIO Look magazine. #TopAI #becognizant #GenAI

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3rd day at #HIMSS24Europe. I joined a panel today of the DACH Delegation with the title: The value of data! which fits with our AWS motto Better Data, Better Insights, Better Outcomes. Luiza Dobre from Komed Health AG was moderator, strong health experts with Dr. med. Peter Gocke from Charitè, Jamey Baszuk from Hymed Healthcare and Stephan Schug from IQmed Healthcare were on the panel. Underlying topic and call out was to build person centered multi modal data platforms (healthlakes) including genomics and environmental data. Commen sense was the paradigmshift of health data management needs cloud. We do have the compliance rules in place to use Cloud in Germany. Open Standards like openEHR, FHIR are the foundation for persistance of data and data exhange. AI will help to turn unstructured data into structured and to increase the quality of the data. EHDS and national compliance guidances are needed to have common guardrailes for interoperabilty. Better connected data with AI will help to support the doctor and nurses with digital agents on the point of care, patient in preventing and managing their treatment and researcher in there drug and therapy discovery. A game changer is to implement the role of the chief data officer in hospitals, to define a holistic data strategy and enhance the enterprise architecture with the data platform as new building block. Big thanks to Amber Hidding from HIMSS and Jeremy Dähn for organizing this panel and Hyland Healthcare for being the sponsor. #HIMSS24EUROPE, #AWS, #Cloud, #GenAI #Healthdata

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On a sunny Tuesday evening on 18 June, a very relaxed #SnowflakeUserGroup Meetup was hosted by Manuel Ifland & team in and outside the synvert Data Insights office in Munich. The group discussed the numerous innovations - especially in the area of #ML and #AI - that were announced and showcased at this years #SnowflakeSummit in San Francisco. How to combine Snowflake's latest #Geospatial features with newly gained insights from ML & AI for #NextGen #BusinessIntelligence or data apps was the scope of my talk with two live demos, including:  ➡️ Acquiring data from the Snowflake #Marketplace and from external storage  ➡️ Cleansing and transforming event and time series data using Snowflake's new set of #H3 SQL functions  ➡️ Training of a forecast model and predicting results with #SnowflakeML  ➡️ Using the instruction following #CortexAI #LLM Complete Function to classify customer sentiment and extract the underlying reasons for that sentiment derived from a customer reviews table  ➡️ Visualizing and exploring Discrete Global Grid #H3 data with #Streamlit in Snowflake (SiS) Unfortunately you couldn't make it to the Meetup in Munich and want to find out more? No problem, give this hands-on lab a try: Geospatial ML and AI using Snowflake Cortex - https://lnkd.in/egXJdMcG I'm already looking forward to the next Snowflake Meetup here in Munich or elsewhere in Germany: with practical examples, exchange of new ideas and best practices from real-world projects and the latest news from our data superheroes. #Snowflake #TechMeetUp #synvert #SnowflakeUserGroup

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The opening of the AI Innovation Centre from our partner's Phoenix Systems in Allschwil was my highlight of the week. Thomas Taroni showcased exceptional AI use cases powered by #OpenShiftAI & #WatsonX on the Phoenix AI Cloud. Here are my key takeaways from the event: - AI is disruptive. Start now. AI will be a game-changer for innovation. There are many enterprise use cases that can be implemented much more quickly using AI than by implementing software  - AI is becoming accessible. Anyone can train a model, as was highlighted in the announcement of the #instructLab at the Red Hat Summit. - The future is leaning towards models: Richard Zobrist quoted Chris Wright predicting a shift from 100% applications to 50% AI models and 50% applications soon - Securing models in the sovereign cloud is key, because models are so powerful and anyone can retrieve sensitive data through simple inference Thomas Taroni Thank you for inviting us to this great event. Looking forward to many great joined AI customer success stories

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Satya's vision for the future of technology is profoundly impactful: 1. AI Integration: Satya emphasized the transformative power of AI in various sectors. Microsoft’s commitment to integrating AI into their products promises to revolutionize industries from healthcare to education. 2. Cloud Innovation: The advancements in Azure's cloud services showcase Microsoft's dedication to providing scalable and secure cloud solutions. This will undoubtedly accelerate digital transformation across the globe. 3. Sustainability: A significant focus was placed on sustainability. Microsoft's strategies to reduce carbon footprints and promote green technologies are commendable and set a benchmark for the tech industry. Microsoft’s strategy to democratize technology ensures that advanced tools are accessible to everyone, fostering innovation and growth worldwide. Their emphasis on ethical AI and robust cybersecurity measures highlights a responsible approach to technological advancements. While the vision is grand, it's crucial for all of us to stay adaptable and continuously upskill to keep pace with these rapid changes. Collaboration and continuous learning will be key to leveraging these advancements to their fullest potential. #Microsoft #SatyaNadella #Innovation #AI #CloudComputing #Sustainability #TechLeadership #DigitalTransformation https://lnkd.in/gBgjwWSf

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I'm not sure if we are entering the age of Industry 5.0 or if AI makes the great push for Industry 4.0 real. Siemens and Microsoft are working together bringing AI capabilities onto the shopfloor to enable digitalization @ scale, which from my point of view is the missing link to truly establish Industry 4.0. The Siemens Industrial Copilot, a generative AI assistant for industry scenarios, is a great showcase of this capability and is on display at the Microsoft Experience Center EMEA in Munich - take a look and see what this kind of capability might be able to do for you and your business. #GenAI #Copilot #Industry4 #Azure https://lnkd.in/dS7jYD3Z

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The Seed is an amaizing real opportunity to accelerate the pace of research in the biopharmaceutical industry thanks to the power to manage complex systems and data models!

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This is how Sapphire 2024 sums up (rather expands) for me: S: SAP in all its glory! Ah the buzz of a 52-year old startup. Only James Bond and our 3 Khans looked as young and charismatic in their 50s as SAP does. A: Artificial Intelligence & Art of Possible with #SAPBusinessAI P: Partnership as a key enabler – Shout out to a whopping 101 sponsoring partners who made this massive event possible, and to thousands of partners who make our customers #runbetter P: People, Product, Process - All about enhancing Performance of 3Ps H: Hasso Plattner’s lasting legacy seen in style - though probably for the first time without him in person at Sapphire I: Innovation and Indians everywhere! Yes, every 6th person in the world is an Indian but the representation seemed even higher at Sapphire! R: Reese Witherspoon, and her inspiring story of Resilience & Recognition E: Energy on the floor & Entertainment Night at Disney Ending on a High! Election results in India also added to the spice. Interestingly, SAPPHIRE anagrams to HI SAP ERP 😊 No surprise given so much of buzz around RISE & GROW! Observed an interesting thing during this trip: Almost every product I touched - toothpaste to transport, phone to pizza, car to clothes, shoes to snacks, bags to beer, internet to entertainment – came from touching an SAP system. Finally, a qualitative takeaway of an event like this. When personal stories and smiles creep between those business conversations, we make beautiful connections that stand the test of time. Truly precious!

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Another fantastic blog from Sophie Pagalday and Dimitrios Spiliopoulos IoT - filled with insights on how generative AI is transforming manufacturing. A must read!

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𝐌𝐨𝐭𝐢𝐯𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐨𝐧𝐝𝐚𝐲: Embrace Innovation in Leadership! As we kick off another week, let's channel the spirit of innovation and forward-thinking into our leadership approach. 𝐐𝐮𝐨𝐭𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐚𝐲: "Innovation distinguishes between a leader and a follower." – Steve Jobs In today’s rapidly evolving world, staying ahead requires us to constantly innovate and adapt. Here are three ways to embrace innovation in your leadership this week: 1️⃣ Encourage Creative Thinking: Foster an environment where your team feels empowered to share new ideas and solutions. 2️⃣ Leverage Technology: Use AI and other cutting-edge technologies to enhance your decision-making and streamline processes. 3️⃣ Stay Agile: Be ready to pivot and adapt your strategies to meet changing market demands and opportunities. Let's lead with vision and creativity, making this week our most productive yet! 𝐀𝐜𝐭𝐢𝐨𝐧 𝐒𝐭𝐞𝐩: Challenge yourself to think outside the box and implement one new idea in your team or project this week. Follow Cdr Hemant Kaushik #MotivationalMonday #Leadership #AILeadership #LeadershipDevelopment #HemantKaushik #AgileLeadership #CreativeThinking

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The Future is Now: How BMW and AWS are Pioneering Generative AI BMW's ICCA is a testament to the powerful collaboration between industry leaders and cutting-edge technology. By utilizing AWS Generative AI tools, BMW has pushed the boundaries of cloud infrastructure management. Key Takeaways: Generative AI is rapidly transforming industries and unlocking new possibilities. Collaboration between industry expertise and AI innovation fosters groundbreaking solutions. The future of cloud infrastructure is intelligent, automated, and optimized with generative AI. Be part of the generative AI revolution. More about this topic on AWS official site. And if you want to find out more about cloud cost optimization visit https://umbrelly.cloud/!

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🚀 IBM Unveils the Next Chapter of watsonx 🌟 At the annual THINK conference, IBM announced groundbreaking updates to its #watsonx platform, pushing the boundaries of #AI innovation. 🧠 Key Highlights: - Open Source Power: IBM released its advanced #Granite models into open source, outperforming larger models on industry benchmarks. - InstructLab: In collaboration with Red Hat, this new model alignment technique will revolutionize open-source AI contributions. - Generative AI & Automation: Enhanced capabilities are set to transform IBM assistants, automation, and infrastructure. 🤝 Strengthened Collaborations: IBM is expanding its ecosystem with Amazon Web Services (AWS), Adobe, Meta, Microsoft, SAP, Salesforce, and more, bringing flexibility and governance to enterprise AI. IBM is making changes to make AI more open, cost-effective, and scalable. More on: https://lnkd.in/gCQEDZ9s #AI #Innovation #OpenSource #EnterpriseAI #watsonx #IBM

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🚀 Just wrapped up an energizing week at #HMI2024 in Hannover, and I'm excited to share my Top 5 Takeaways from this landmark event focused this year on AI, GenAI, and [Simulation] Copilots. 👩‍🚀 1. A Head Start is Critical: If you haven’t started using AI [#Simulation] Copilots, now's the time! While there’s plenty of buzz around GenAI, the reality is just as compelling. It’s also crucial to embrace sustainability (for the better!); those who don't will likely rapidly fall behind. 2. Purpose-Driven AI: The conversation has shifted from whether to use AI to why and for what purpose. Integrating AI must align with the latest Tech advancements to help enterprises make optimal decisions amidst a myriad of possible options, focusing on #performance, #risk, and #sustainability. 3. Value-Driven Discussions: I enjoyed the engaging talks about prioritizing valuable use cases with our partners, including a notable discussion organized by our partner Microsoft on the BXT framework highlighting business viability, experience desirability, and technical feasibility. This framework is key to identifying high-value applications for AI #Simulation Copilots. 4. Sustainability in Industry: The shift towards sustainable industrial growth is undeniable. I was particularly impressed by the focus on #future-readiness, especially in making supply chains more resilient, embracing uncertainty, and sustainability including discussions on the circular supply chain model of the (hopefully not too far away) future. 5. Strengthening Partnerships: This week highlighted numerous strengthened strategic alliances. It’s clear that the future of industry lies in further breaking down organizational silos and reinforcing collaboration to address the complex issues the world and enterprises are faced with. These partnerships are more crucial than ever for pioneering sustainable solutions! A big thank you to all our partners and customers for their inspiring discussions. We’re leaving #HMI2024 full of ideas and energy, ready to tackle future challenges together. Can’t wait to start transforming insights into action with you! And a special thank you to the Cosmo Tech team who prepared and participated with a great level of energy and enthusiasm to this year event! You rock! 👩‍🚀 #AISimulation #Sustainability #SupplyChain #StrategicPartnerships #Innovation #Technology #Simulationcopilot La French Tech Think Smartgrids Want to Learn More about Cosmo Tech? Discover Cosmo Tech: https://lnkd.in/e8HTnHVZ Check out our Supply Chain Vulnerability Scan solution developed alongside SAP and Accenture: https://lnkd.in/gfcetnkH Explore our suite of Simulation Copilot solutions: https://lnkd.in/eDWC7mxV

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Microsoft Copilot is a suite of AI-powered tools and capabilities designed to enhance productivity and decision-making across various industry scenarios. Here is a reason why Microsoft Copilot is beneficial in industry contexts:

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A new generation of Industrial Copilots are here...

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By OpenAI CAN private companies pushing forward the frontier of a revolutionary new technology be expected to operate in the interests of both their shareholders and the wider world? When we were recruited to the board of OpenAl -Tasha in 2018 and Helen in 2021 - we were cautiously optimistic that the company's innovative approach to self-governance could offer a blueprint for responsible artificial intelligence (Al) development. But based on our experience, we believe that self-governance cannot reliably withstand the pressure of profit incentives. With Al's enormous potential for both positive and negative impact, it's not sufficient to assume that such incentives will always be aligned with the public good. For the rise of Al to benefit everyone, governments must begin building effective regulatory frameworks now.

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An insightful panel at #hfsdisrupt: Human Relevance: How do we as human beings maximize our place in the work place. We all know that the Gen AI disruption brings great promise, but also challenges to all of us in the workplace. One of the key messages for me focused on the leadership principles (Authenticity, Collaboration, Optimism and Empathy) necessary in this times of disruption. Malcolm Frank’ s point on leading our teams to the right place and giving them optimism is key.

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The evolution towards smaller, more efficient models does not just signify a technical adjustment but a strategic realignment of the AI field towards sustainability, accessibility, and practical usability. Historically, the development of LLMs focused on scaling up — larger models, more parameters, and increasingly complex architectures. However, the future seems to be pivoting towards smaller models. Here's why: 🔥 Speed and performance: In real-world applications, the speed of inference can be just as important as accuracy. Small LLMs often provide faster responses with minimal compromise on performance, essential for user-facing applications requiring real-time interaction. 🎯 Specialization: Tailored for specific tasks, small LLMs can achieve exceptional performance without the bulk of larger counterparts. 💡 Innovation: Advances like knowledge distillation and pruning are shrinking model sizes while maintaining their robust capabilities. 🌱 Efficiency and sustainability: As we become more conscious of the environmental impact of computing, the efficiency of small LLMs stands out. They consume less energy, which is not only cost-effective but also better for the planet. 🌍 Accessibility and democratization: Small LLMs require less computational power for training and inference, making them more accessible to researchers and developers with limited resources. This democratization of technology can lead to more innovation and broader participation in AI development. As we continue to innovate, the development of small LLMs will likely play a pivotal role in shaping the future of artificial intelligence.

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5 Challenges of implementing AI in organizations - 1. Inflated Management expectations 2. Managing AI like IT projects 3. Missing data in- and output links to existing systems 4. The question of why 5. Dynamic environments Really interesting article in California Management Review on Organizational Implementation of AI. Also has insightful discussion on craft and mechanical based work. Lots to learn for firms implementing AI-based solutions in their operations, especially in #hrautomation. We at entomo actively try to address these challenges by identifying the idiosyncratic elements of every project and partner.

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