Klaus Blaschek

Having worked in both the DACH region and North America, I am always interested in the differences between these large markets for data & analytics solutions. The latest BARC Trend Monitor 2025 is a good source for analysis: so I selected and compared these two regions. Which trends were rated higher or lower in the DACH region compared to the US? I think the result is quite interesting and fun to interpret (help me in the comments if you like): - Data preparation by business users is rated 6 places higher by the Germanic community. Based on my personal experience, the traditional battle between IT and business users for business intelligence competence, which has been a topic in DACH forever, is the reason for this: Business Users demand independence. I have not perceived this as strongly in the US market. On the other hand, self-service analytics is valued more highly in North America: Business users seem to prefer being consumers of D&A there, German users want to be architects – that #GenAI for D&A is stronger in DACH than in North America surprises me: Probably the narrative reporting culture is more pronounced in DACH – data literacy is gaining ground in DACH: Carsten, your #dataliteracy podcast makes the topic more popular here ;) In North America, real-time analysis and decision-making intelligence are valued more highly: I suspect this reflects the generally higher level of maturity of D&A architectures and the faster pace of innovation. I think the users there are simply already one step ahead. If you want to do your own analysis, the complete document with the assessments of almost 1,800 end users is available here: https://lnkd.in/d3j8YNM3 It is free of charge - thanks to the sponsorship of Denodo and TARGIT!

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Curtain up for the 11th KnowHow-Meeting (20 - 22 Aug 2024) ... The Power of User engagement in data (Katharina M., Vattenfall) Data culture refers to an organization's values towards data. The quality of data is a pre-requisite to ease data driven decision making. Prioritizing the needs of the users and engaging them at an early stage can support data quality and minimize workload. Katharina Muth will guide through a user focus how the data catalogue can be used in a People & Culture project setup to ease governance and user engagement while ensuring day to day operations. Main learnings highlight the benefits of including stakeholders at an early stage, ensuring a close allignment between business, IT and end users. Information & registration ... https://lnkd.in/ecwbTzde #metadata #datagovernance #dataquality #datacatalog #datastrategy #knowhowmeeting #datacampus #dataculture #ai #datascience #masterdata

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What if your data tools let you focus entirely on what matters — your use case? That’s exactly what Felix Krueger, senior data scientist at DZ Bank AG, experiences with Dataiku. ✨ The benefit: With no setup hassles or distractions, Felix simply logs into Dataiku, and everything he needs is ready. This simplicity allows him to focus on his use cases without extra technical overhead. 🔄 The transformation: Felix’s team at DZ Bank moved from isolated reporting solutions to a unified system within Dataiku. Now, they generate reports and dashboards across departments and even perform additional analysis, extending their previous workflows. ⭐ Favorite feature? The prepare recipe which, as he says, "just makes things so easy." 💡 Advice for companies starting with AI: Felix recommends having a use case to start but thinking ahead. “Start slow, but build an architecture that can scale over time” to prepare for future needs.

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🌟 𝐓𝐡𝐞 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐋𝐞𝐚𝐝𝐞𝐫𝐛𝐨𝐚𝐫𝐝: 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐆𝐥𝐨𝐛𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐭𝐬 🌟 Last week, we hosted our first community webinar. Here are the highlights: Franziska Bell, PhD (bp): 𝑳𝒐𝒘𝒆𝒓𝒊𝒏𝒈 𝑩𝒂𝒓𝒓𝒊𝒆𝒓𝒔 𝒘𝒊𝒕𝒉 𝑵𝒆𝒙𝒕-𝑮𝒆𝒏 𝑨𝑰 - Synthetic Humans for market insights. - Enhanced Developer Productivity through AI-driven code reviews. - Quick Knowledge Retrieval for better decisions. Jack Lampka (Ex-MSD & HP): 𝑻𝒉𝒆 𝑯𝒖𝒎𝒂𝒏 𝑭𝒂𝒄𝒕𝒐𝒓 𝒊𝒏 𝑨𝑰 - Addressing user needs. - Clear communication of AI's business value. - Avoiding trends without business alignment. Cornelia Schaurecker (InnoTech AI): 𝑺𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒄 𝑨𝑰 𝑰𝒎𝒑𝒍𝒆𝒎𝒆𝒏𝒕𝒂𝒕𝒊𝒐𝒏 - Transparency in AI projects. - Building In-House Expertise. - Ensuring Data Availability. - Faster Time-To-Market with MLOps. - Standardizing Practices. Julien SIMON (Arcee.ai): 𝑨𝒅𝒗𝒐𝒄𝒂𝒕𝒊𝒏𝒈 𝑺𝒎𝒂𝒍𝒍 𝑶𝒑𝒆𝒏-𝑺𝒐𝒖𝒓𝒄𝒆 𝑴𝒐𝒅𝒆𝒍𝒔 - Cost-Effectiveness. - Customization. - Scalability. Burak Gokturk (Google Cloud): 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑴𝒐𝒅𝒆𝒍𝒔 + 𝑺𝒆𝒂𝒓𝒄𝒉 - Reduced Data Requirements. - Broadened Developer Access. - Combining AI with search for accuracy. Wei Li (Intel Corporation): 𝑻𝒉𝒆 𝑨𝑰 𝑪𝒐𝒎𝒑𝒖𝒕𝒊𝒏𝒈 𝑺𝒕𝒂𝒄𝒌 - Models: Large and small-scale. - Software: Performance and productivity. - Hardware: Advanced tech for AI. Our insight: ✅ Successful enterprise AI companies combine technology with a top-down strategic approach that focuses on people-centric strategies and business use cases. 👉 Dive deeper by reading the full article: https://lnkd.in/dRFk7_eU #AI #EnterpriseAI #GlobalExpert #Community

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For those who missed our webinar "LLMO: How to gain visibilty in results of generative AI like ChatGPT, Gemini or Copilot." The recording is online now. Only in german but you can use Youtube Translation... https://lnkd.in/dGTj9rqy

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Want to learn key strategies for successful early Data Mesh adoption? 👇 The takeaways: 👉 Prioritize product thinking for data 👉 Focus on governance from the start 👉 Secure buy-in from domain teams 👉 Balance technical and cultural aspects Many thanks to the data experts who shared their insights! Wannes Rosiers, Jochen Christ & Amy Raygada! 𝗔 𝗳𝗲𝘄 𝘁𝗵𝗶𝗻𝗴𝘀 𝘁𝗵𝗮𝘁 𝘀𝘁𝗼𝗼𝗱 𝗼𝘂𝘁: 🛑 Put in place governance proactively, not reactively 🛑 Establish solid data contracts to prevent dependencies 🛑 Show benefits to domain teams to encourage ownership 🛑 Start with an MVP in an easy domain to quantify benefits 🛑 Define data product standards and minimal requirements early #datafam #datamesh #datagovernance

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We've open-sourced 𝐎𝐩𝐭𝐢𝐋𝐞𝐚𝐫𝐧! What is it? 𝐎𝐩𝐭𝐢𝐋𝐞𝐚𝐫𝐧 enables AI models to adapt to changing preferences for optimal solutions. These preferences, often rooted in domain knowledge, typically evolve over time and require frequent iterations. Traditionally, this would mean retraining a model from scratch whenever preferences change. With 𝐎𝐩𝐭𝐢𝐋𝐞𝐚𝐫𝐧, that’s no longer necessary. It trains 𝐚𝐝𝐚𝐩𝐭𝐚𝐛𝐥𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 𝐭𝐡𝐚𝐭 𝐜𝐚𝐧 𝐛𝐞 𝐭𝐮𝐧𝐞𝐝 𝐭𝐨 𝐧𝐞𝐰 𝐩𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐫𝐞𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠, saving both time and resources. 🔍𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Python, PyTorch, Scikit-learn 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: Custom modules for data loaders, models, evaluation metrics, and loss functions 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗧𝗮𝘀𝗸𝘀: Multi-objective & single-objective classification 𝗠𝗼𝗱𝗲𝗹 𝗧𝘆𝗽𝗲𝘀: Neural networks, decision trees, scikit-learn models 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗧𝘆𝗽𝗲𝘀: Image classification, tabular data 🔧 𝗪𝗵𝘆 𝗢𝗽𝘁𝗶𝗟𝗲𝗮𝗿𝗻? 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗔𝗱𝗮𝗽𝘁𝗮𝘁𝗶𝗼𝗻: Change preferences without retraining 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴: Integrated with neptune.ai 𝗤𝘂𝗶𝗰𝗸 𝗦𝘁𝗮𝗿𝘁: Seamless setup with Poetry and pytest We welcome everyone to explore, contribute, and innovate with us.

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SenseTime SenseNova 5.5 Challenges OpenAI at WAIC 2024 - SenseTime’s New Language Model: SenseNova 5.5 emerges as a direct competitor to OpenAI's GPT-4o at the WAIC 2024. - Performance Boost: With a 30% improvement over its predecessor, SenseNova 5.5 sets new standards in AI development. - Multimodal Capabilities: The model integrates synthetic data, significantly enhancing inference and reasoning abilities. #artificalintelligence #ai https://lnkd.in/ezb588zw

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💛 working with TMDL on Direct Lake I tested my personal new highlight feature of this month today with Marcus Wegener and Andrea Hupp - it works on all explicitly created Semantic Models - the "edit mode" has to no report - like in the Web-Service. But the DAX query view feels "more close" - all changes are synched to the published model. No saving needed. 🤯 but the real game changer is to export the Power BI file a project, then I can: - edit everything in TMDL code and sync the changes fast to the published model (but also beeing able to refuse the changes). Deployment never have been so easy 🤩 - as an empty report appears when I open the .pbip file, I am able to test my changes in real visuals. Even when I love the DAX query view... sometimes visuals show me more insights when I investigate some data issues 😉 👾 Doing the Video was also a chance to use the AI Dubbing one more time - it still feels a little strange, but I still like it and its faster doing the recording multiple times. I still sound different in real english tutorials I do from time to time 😅 Looking forward for more news from the European Microsoft Fabric Community Conference ..! 😃 #powerbi #fabric #update

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Curtain up for the 11th KnowHow-Meeting (20 - 22 Aug 2024) ... "Make some master data" (statement from management some years ago) In his presentation at 11th KnowHowMeeting, Steffen Ober (Team Leader Master Data Management at Raiffeisen Waren) will take us on a journey through time from a 126-year-old agricultural trading company to a data-driven business. The Raiffeisen Waren Group with its more than 3,000 employees stands for a long history that still characterizes its business today - from the cooperative idea to the now internationally active wholesale company. The systemic path of the RW Group is characterized by constant development and was given a new facet in 2022. “Make some Master Data” were the introductory words of the management, combined with the desire to create a solid database for articles and business partners. The journey seems to be the goal and this is characterized by changes, emotions, systemic hurdles, organizational changes and the development up to the SAP S4/Hana migration last year. Agenda & Registration 11th KnowHow-Meeting ... https://lnkd.in/eAetnvkc #masterdata #datagovernance #dataquality #datacatalog #datastrategy #knowhowmeeting #datacampus #dataculture #datascience

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Experience the future of #banking with AI! 🚀 Swiss banks often struggle with outdated systems and increasing security requirements. We see this as an opportunity to innovate. adesso: Your partner for #AI implementations With our conversational AI we improve customer service, efficiency and security. Our solutions include - Automated product information - Personalised #chatbots - Next best offer & next best action - Error-free transaction processing - Fraud detection - Prevent customer churn Learn more: https://lnkd.in/e8bdDq4n #BankingInnovation #DigitaleTransformation

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Data First: The Key Building Blocks of a Future-Proof Data Architecture 🧱 Data is the key to a company's future - but what does a good data architecture look like? In practice, I have often seen how innovative data strategies can drive companies forward. But also examples of companies that have fallen behind due to outdated processes. That's why I'm excited about this new article by our data expert and consultant Anja Schroeder. She clearly explains the core components that an architecture should have today. Here's the link to the @BigData-Insider article 👉 https://lnkd.in/eGVC5BWa #data #governance #analytics

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Much more than an ETL tool: Object wizards like with Pimcore Copilot (only better integrated, e.g. add a button in your class layout to start an object wizard dataport. This triggers automatic text generation, translation or any automation but it is much closer in the object editing workflow than Pimcore Copilot. But this release also enhances other Pimcore core features: - automatically reload objects if they have changed in the background to always see latest state - automatic tab management: if opened tabs exceed viewport width, close the one which has not been accessed the longest time - expand main menu to open object with direct access by indexed fields, e.g. directly open a product with a certain SKU - integrated path formatters to not always show object full path (which consists in 99% of cases of the same prefix path which even sometimes hides the actually interesting object key - automatic creation of perspectives based on class groups We continue our way to get the best out of #Pimcore - without any additional programming effort!

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📝 It's a wrap 📝 This week, we published research updates on OHB SE, USU Solutions DACH, Einhell Germany AG, Lloyd Fonds AG, Engel & Völkers Digital Invest as well as on four of our Alpha Picks ZEAL Network SE, NFON, Nynomic AG and Nabaltec AG. The highlight of the week: Our colleagues Henry Wendisch and Maxi Gutmann visited MLP's CEO Uwe Schroeder-Wildberg. Are you interested in a deep dive? Download our research for free on our website or contact the analysts directly. #nuways #equityresearch #investorrelations #smallandmidcaps 🎯

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Will generative AI change how we work and what our tasks at work are?   The short answer is “yes”. In our new Accenture report Competitive Switzerland 2024, we found that 45% of work time in the country could be impacted by the technology. What follows from this?    While some might argue that companies will use the technology to reduce their workforce, our research found that a people-centric approach will benefit them much more. If companies use the technology to enhance rather than replace jobs, they could add an additional 1.9% to the Swiss GDP by 2030.   In addition, we found that only 7% of Swiss executives - less than the global average - are primarily seeing generative AI as a tool to reduce costs. And employees are ready to: 92% say that they see value in working with AI and 93% want to adapt their way of working and learn new Gen AI skills.   If you’d like to learn more about the potential of generative AI to boost innovation and revenues at your company - and why a people-centric approach is your best option - read our new report Competitive Switzerland 2024.   Download the full report here: https://lnkd.in/dcvqk4_S   #CompetitiveSwitzerland #GenAI

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"AI needs data more than data needs AI," as noted in a Forbes article last October - and Kai Müller at EVACO GmbH couldn't agree more. Join us in a conversation with Evaco to understand why exceptional AI cannot exist without good, clean, and well-prepared data: https://lnkd.in/eUq_fCic #AI #DataQuality #timextender

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Great presentation from Patrick Mathers and Romano Roth, full of insights of the #DevOps Switzerland market. If you want to know more, you can download the report at https://lnkd.in/enJRzsjS DevOps Meetup Zurich #DigitalTransformation #PlatformEngineering

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🚀 Discussing collaboration between startups and corporates. Is it startups x corporates or startups vs. corporates? 🤔 I'm excited to be joining a vibrant panel at the ERGO Group AG Digital Kick-Off Event in Nuremberg this coming April 29. We'll dive deep into how start-ups like apinity can effectively collaborate with large corporations. It's a critical conversation, especially as many big players still struggle to integrate agile start-up innovations into their established environments. ERGO’s new approach under Chief Digital Officer Mark Klein and his great Team Hanbing Ma, CFA and Bessem Ayari, who focusing on proactive collaboration, sets a fantastic stage for us to discuss the "how" of partnerships, rather than "if" they should happen. I'll be sharing the stage with some fantastic minds: Marc Lampe from Miss Moneypenny Technologies, Angela Strahleck and Oliver J. Blauth from Celonis, Oliver L. from Realytix Zero by Munich Re. Looking forward to exchanging ideas and experiences that push the boundaries of what we can achieve together. Let’s reshape the future of business partnerships! #ERGODigital2024 #StartupCollaboration #Innovation #DigitalTransformation #apinity

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