Tobias Jonas

🔝 Check out the new article: "Data products, data mesh, and data fabric" by Ivo Blohm, Felix Wortmann, Christine Legner & Dr. Felix Köbler. Discover potential paradigm changes for data and analytics! This article explores data products, data mesh, and data fabric, highlighting their potential to revolutionize data management and analytics. Read more: https://lnkd.in/e7F-z6p6 #BISE #InformationSystems #IS #Research

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Google Cloud Summit Süd: Unveiling the Power of AI and Cloud ☁️🤖   Our team, represented by Marijana Simonova, Artem Borisov, and Maksim Blekhshtein, recently had the pleasure of attending the Google Cloud Summit Süd in Munich. Special thanks to Carolin Egger and Michael Korbacher for an impressive keynote session 🎤, and to @Anna-Maria Martini and @Cheyenne Edwards for outstanding session moderation. 🙌 It was an incredible experience, packed with insightful demonstrations, engaging workshops, and valuable connections with Google Cloud practitioners. 🤝 We also enjoyed to meet Sinja Haagen who supported Eufomex on our journey to become Google Cloud Partner.   One of our highlights was the Data Beans Demo. ☕ This immersive experience showcased the potential of #GenAI and #BigQuery on Google Cloud. Through the example of a fictitious coffee truck company, the demo illustrated how these powerful tools can be harnessed to drive real-world business results. 📈   Beyond the demos, the Summit offered a wealth of learning opportunities. 📚 We actively participated in workshops covering various topics relevant to our field. This allowed us to gain practical knowledge and explore innovative ways to leverage Google Cloud technologies. 🚀   The Summit fostered a vibrant exchange of ideas and experiences with data practitioners from a diverse range of industries. 🌐 We had the opportunity to connect with colleagues facing similar challenges, share best practices, and learn from each other's expertise. 🧠   Overall, the Google Cloud Summit Süd was a resounding success. 🎉 It provided an invaluable platform to explore the cutting edge of cloud and AI technologies. We left feeling inspired and equipped to implement these advancements within our own projects. 💡   #GoogleCloudSummit #DataBeansDemo #GoogleCloud #AI #Innovation #TechSummit #CloudComputing

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You want to know how to escape the ops hamster wheel to free up time for more interesting tasks? If you missed my webinar, here is the recording and slides. And as I held the Webinar in German, here's the summary in English: 💡 𝗔𝗜𝗢𝗽𝘀 = Utilizing Machine Learning and Big Data to tackle IT Operations challenges 💡 AIOps 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀:   - Anomaly Detection   - Event Correlation & Alert Grouping   - Intelligent Root Cause Analysis   - Chaos Engineering with AIOps (addressing ‘unknown unknowns’)   - Supporting Continuous Deployment and shift right strategies (e.g canary release) with AIOps Insights 💡 The need for AIOps can be a sign of poor system design -> also focus on DevOps / Shift Left / Platform Engineering 💡 AIOps in a first place (e.g. alert grouping, noise reduction) can you free up time to get there 💡 AIOps 𝗜𝗺𝗽𝗮𝗰𝘁:    - Reduced Mean time to Detect & Restore (MTTD/MTTR)   - Shorter Time to Market for new solutions   - Breaking down Product Team Silos through shared data / insights   - More time for Innovation due to reduced ‘Ops’ work 💡 AIOps 𝗱𝗿𝗶𝘃𝗲𝗿𝘀:   - The shift towards decoupling/microservices led to an exponential growth of possible failure modes   - Systems have become increasingly observable   - The customer experience is becoming a digital experience, high availability is king   - Democratisation of Machine Learning 💡 AIOps 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗣𝗮𝘁𝗵:   - Set actionable goals with meaningful metrics to track progress    - Bring the right skills/people together   - Implement a first case early and iterate, but don’t forget to lay the foundational layer such as architecture, data sources, model selection

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🚀 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐋𝐢𝐟𝐞 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐬 🌱 (𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 : 𝐏𝐚𝐫𝐭 2 𝐨𝐟 2) Thank you again, René Krause, for the interview and opportunity to share my insights 🙏 It was a great pleasure to immerse myself in #scenarios, #trends and #technologies with you, especially in the 𝒍𝒊𝒇𝒆 𝒔𝒄𝒊𝒆𝒏𝒄𝒆𝒔 𝒊𝒏𝒅𝒖𝒔𝒕𝒓𝒚 💡There are a lot of debates about digital twins these days - I find the topic of the digital 𝒉𝒖𝒎𝒂𝒏 twin absolutely impressive and it will certainly be an absolute game changer in the future 👀 I also think it's important not to lose sight of the ongoing revolution of experience management #XM - be it the employee experience #EX, customer experience #CX or supplier experience #SX - alongside all the discussions about the availability and explosion of #data. S̳e̳c̳t̳i̳o̳n̳s̳ ̳o̳f̳ ̳i̳n̳t̳e̳r̳v̳i̳e̳w̳:̳ (𝒗𝒊𝒅𝒆𝒐 𝒍𝒊𝒏𝒌 𝒊𝒏 𝒄𝒐𝒎𝒎𝒆𝒏𝒕𝒔 𝒃𝒆𝒍𝒐𝒘 👇) 0:11 Intro 0:51 vision of metaverse 2:08 trend databases 3:17 tech convergence 4:20 metaverse x experience management 5:27 Digital Twins 7:22 data and blockchains 8:51 post-smartphone era #metaverse #EmergingTech #FutureTech #LifeSciences #Metaverse #DataSovereignty #TechConvergence #ExperienceManagement #ExperienceEconomy #ReturnonForesight #KPMG #Innovation #Bettertogether #ExtendedReality

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“After one year of reading and working daily with LLMs, here are the 𝘁𝗼𝗽 𝟭𝟮 𝗯𝗹𝗼𝗴𝘀 on 𝗟𝗟𝗠𝘀 & 𝗥𝗔𝗚 I 𝗿𝗲𝗮𝗱 𝘄𝗲𝗲𝗸𝗹𝘆 and 𝗿𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱 ↓”

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👉 Personalised Message to all people costs 2.1m CHF - supported by a GenAI tool Great talk from Nick Gushchin from Gutschwald Ai Zentrum ! How do you personalize your client messages? Live from GenAI Zürich #GenAIZurich #GenAIZurich2024

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Very nuanced, deep and well thought-through article on the use/assistance of #genai in #softwareengineering by Alexander Pretschner on the Frankfurter Allgemeine Zeitung this morning. Key message: it needs (now & in the future) human insight to perform the many decisions involved in going from user needs to requirements to code. This in turn means that the education of software engineers doesn’t need to change much: in order to judge modelling and design decisions in software development, the young engineer needs to be able to do it. Otherwise he or she cannot prompt. Only then, prompting and AI-assisted programming should be taught and used. Alexander Pretschner hypothesizes that these ideas transfer also to other domains. I very much agree. cc Patrick Feisthammel , ZHAW Institut für Informatik (InIT) , Marcela Ruiz

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💗🙋🏼‍♀️Women power in tech is unstoppable! 🙋🏼‍♀️💗 Join us on September 26th for Women in Tech: Learning & Leading with AI at IBM Studio Hamburg. Connect with inspiring women, dive into AI, and be part of the change! Let’s lead the future together! 🚀 #WomenInTech #AI #Leadership #Networking"

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🚀 Big News for #AzureSQL Users! 🚀   Our upcoming release of Speedgain for Databases is packed with a comprehensive new set of built-in alerts specifically tailored for Azure SQL Databases! 🎉   We’re delivering a powerful toolkit to help you monitor and optimize your databases with ease. Here’s what’s coming:   ✅ DTU Usage Alerts: Get notified when your DTU usage exceeds 95%, so you can scale up before performance is impacted.   ✅ CPU and Storage Monitoring: Keep an eye on CPU usage and local storage, with alerts triggered when usage exceeds 70% and 90%, respectively.   ✅ Data File Management: Avoid downtime by receiving alerts when data files are nearing full capacity or when database space might run out in less than 4 hours.   ✅ Log Write Rate and Session Management: Monitor log write rates and session counts to ensure they stay within optimal limits.   ✅ Worker and Buffer Cache Turnover Alerts: Stay ahead of worker thread issues and buffer cache turnover, ensuring your system operates smoothly.   With these alerts, you can:                •            Proactively Manage Resources: Ensure you’re never caught off guard by performance bottlenecks.                •            Optimize Costs: Scale resources efficiently to match your workload.                •            Boost Operational Efficiency: Spend less time on manual monitoring and more on delivering value.   These alerts are just the beginning—your databases will be in the best hands with Speedgain. Stay tuned for more details and get ready to take your Azure SQL Database management to the next level! 🚀 https://www.speedgain.com/   #DatabaseManagement #CloudPerformance #DBA #AzureSQL #SpeedGain #DevOps #CloudComputing #Observability

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The Current State of AI in Germany: Opportunities and Challenges https://buff.ly/3X7dqNm @[Startuprad.io](urn:li:organization:4837115)

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Excited to share that the German Research Center for Artificial Intelligence 𝗗𝗙𝗞𝗜 and 𝗔𝗰𝗰𝗲𝗻𝘁𝘂𝗿𝗲 are entering the next phase of our partnership, focusing on three key areas: "AI in Software Engineering", "Connected Products & Industrial AI" and "AI's Impact on Org Design & Talent" I'm particularly excited to share that Daniel Porta and I will be the topic owners for "𝗦𝗺𝗮𝗿𝘁 𝗗𝗲𝘃𝗶𝗰𝗲𝘀 & 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗔𝗜 " stream, focused on challenges and research areas in AI within Engineering and Manufacturing domains 🏭⚙️. As product complexity grows and concepts like the circular economy and software-defined products evolve, the demand for automation and AI-driven solutions is rising significantly. (Generative) AI has immense potential to enhance and reinvent industrial processes by enabling 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗵𝘂𝗺𝗮𝗻𝘀 𝗮𝗻𝗱 𝗺𝗮𝗰𝗵𝗶𝗻𝗲𝘀, 𝗲𝗻𝗵𝗮𝗻𝗰𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, and accelerating 𝗱𝗮𝘁𝗮 𝗱𝗿𝗶𝘃𝗲𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗺𝗮𝗸𝗶𝗻𝗴. 𝗢𝘂𝗿 𝗴𝗼𝗮𝗹 𝗶𝘀 𝘁𝗼 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, driving the development of smart connected products and industrial AI solutions that will transform production and operational efficiency. With DFKI’s cutting-edge AI research, hands-on expertise in Industry 4.0, and Accenture’s leadership in digital transformation and system integration, our mission is to translate innovations into scalable, real-world applications, ensuring secure, trustworthy, and scalable Industrial AI. Looking forward to keeping you updated on this journey ahead and thanks to Antonio Krüger, Dr. Galia Diez, Dr. Harun Karimpur, Dr. Jochen Malinowski, and the whole team for the great setup and exciting topics ahead. #DFKI x #Accenture #Research #Innovations #AI

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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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I am happy to announce our next Munich Datageeks e.V. meetup at QAware GmbH on October 24th. Stefan Billet and Marcelin Gallezot will hold talks about data in cars and Quantum Machine Learning. Register here: https://lnkd.in/e-_TBnCy #datageeks #meetup #munich #research #machinelearning #artificialintelligence #ai #ml #quantummachinelearning

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5 business days, 5 appearances: I just finished my first-ever "Conference Sprint" 🏃‍♂️. I need some advice before I talk again at this frequency... 😅 - Last Wednesday it was "The AI-Powered Developer" (in German) at #CLC_Conf in Mannheim with Daniel Hartung. - Then off to Cologne the next day for the same talk in English at #CTWebdev. - On Friday I held an online workshop "Consulting with Impact" for the internal #codecentriccrew (thanks to positive feedback, it may be developed into a public talk). - On Monday Janine Felten and I held the full-day online workshop "Professional GenAI Software Development in Practice" (in German) with 24 participants - many more than we planned. I'm glad to say that their great work and knowledge sharing in groups made it possible. - On Tuesday we held our complimentary talk "GenAI Crafting: Best Practices für professionelle GenAI-basierte Softwareentwicklung" at the same conference - #InfoDays #GenAI für Entwickler. In-between, I handled project needs which came up. Now I finally have a moment to rest and catch up... and I ended up giving input for someone's upcoming keynote 🙂. I feel quite mentally drained after a normal conference appearance. What helped me was to do significant exercise every day. I know a few speakers who do a lot of conferences - how do you identify the limit, and how do you stay fit and healthy? #PublicSpeaking

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In the latest post from Jan Bosch he explains very well why we need to adjust our ways to govern, steer, plan, invest and execute the development of software... Working close together with Rasmus Thornberg embedded in Tetra Pak Decision Science Team led by Alberto Barroso, PhD this insight was the starting point for comming up with a lingo and approach how adoption centred goverance for decision science products would work at scale in TetraPak.. In data and AI heavy projects and products this insight POPS even more... Since in nature these projects are probabillistic. And if we go to Deep Learning we get all the way to "tinkering", trial and error to see what weights work. and how to make the system work.. So in essence the old way of looking at Software development comes from a determinisitic project oriented view and governance and if we interpret Jan We believe we must shift to a probabillistic product life cycle view. It means most frame works we all use have major blind spots, since we are governing project value, user and the outcome as it is known when in fact we need to govern a innovation adoption cycle. The current frameworks have merit, but big blindspots. They are governing good stuff but still not adressing wtat needs to be of highest concern... adoption....IF Jan is correct. For TetraPak We developed a pilot. 1 day training on adoption centered governance for Data and AI products for Program leaders, product leaders and sterco members. If you want to know more and contribute to developing these ideas as part of an open innovation initiative... Develop ideas into practical and operartional governance and product managment. Read up on the pilot training outline that essentially start off where Jan leaves us in this post... find our in the comments below Ping me. Dairdux

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