Hendrik Neumann

So funktioniert Prompt Injection #ai #artificialintelligence #artikel

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Join us to enjoy new feature in #CHECK24 app ⚽️ Reminds me of good memories about developing 90(Navad) TV Show app 🏆 #CHECK24 #EM24

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Lieber besser vorher die #User #Community fragen, bevor man #große #Deals abschließt, um mit ihren Daten #AI zu trainieren: "#Stack #Overflow users sabotage their posts after #OpenAI deal Anti-AI users who change or delete answers in protest are being punished." "I hate this. I'm just going to delete/deface my answers one by one," wrote one user on sister site Stack Exchange. "I don't care if this is against your silly policies, because as this announcement shows, your policies can change at a whim without prior consultation of your stakeholders. You don't care about your users, I don't care about you." https://lnkd.in/emqQSkk9

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I had a blast at Workwise but after half a year it's time to return to easybell GmbH (big shoutout by the way for letting my rejoin on a few days notice 👏) Don't get me wrong, both companies are awesome in their own ways, but here's one piece of advice I got out of this transition: Nobody cares if you know 25 different languages and frameworks. What matters is that you went all the way with a few of them, to build things that others cannot. You need to be able to solve every problem in your stack. How to deal with A/B-testing, performance issues (and when to ignore them), migrations, scaling, changing requirements, overengineering, cargo cult programming, test suites, dealing with legacy, pipelines, expectation management, data protection concerns, leadership, dealing with an outage with thousands of customers affected and being the one responsible to fix it. And apart from all the technical and product management experience, you need domain knowledge, which has to be built up over years. Don't switch companies just to learn a new stack. You'll run into all the same problems and be less effective while dealing with them. Look for ways how to improve the skills within your own bubble and I guarantee there is always more than enough direction to grow.

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🚀 Reflections from the ITSMf Community Day “AI in Multi-Provider Management” 🚀 Our colleagues Philip and Hendrik had an amazing experience presenting at the itSMF Deutschland Community Day "AI in Multi-Provider Management". https://lnkd.in/eJ6-HxWG A huge thank you to the organizers of the community day, Joerg Bujotzek, Alexander Prosek and Ruediger Bellof for putting together this great forum to explore the rapidly evolving applications of AI in the field of IT Service Management. During the session on "AI-based Process Scoring in Multi-Provider Management", Philip and Hendrik delved into how our ITSM Process Scoring approach uses various AI models to automate IT Service Provider performance evaluation and comparison. Here are some key takeaways from their presentation: 🔍 Enhanced Provider Performance: AI-driven analytics automate the assessment of IT service providers, allowing businesses to quickly identify patterns and trends, ensuring providers consistently meet expectations. 📈 Objective and Comprehensive Evaluation: Our ITSM Process Scoring method defines ideal ITSM processes, sets key performance indicators (KPIs), scores them and automates measurements. This leads to an unbiased and thorough evaluation of service quality, providing transparency and confidence in provider performance. 🛠️ Leveraging Machine Learning for Deeper Insights: Techniques like Random Forests and Polynomial Regression translate KPIs into actionable scores, which are automatically weighted based on end user experiences. This detailed analysis provides businesses a good understanding of the impact of various factors on overall service quality, enabling more informed decision-making. 🤖 Improved Process Compliance and Efficiency: Process conformance checking compares actual process execution against ideal models by leveraging process mining techniques, identifying discrepancies and opportunities for improvement. This help identifying issues within processes and thus enhances efficiency, reducing errors and finally saves money. 💡 Proactive Problem Solving: By identifying trends and patterns early, AI helps businesses proactively address underlying issues, leading to smoother operations and improved customer satisfaction. 🌟 Sustainable Performance Improvement: Continuous monitoring and automated scoring foster a culture of ongoing improvement. Service Managers and Providers can see exactly where they stand and what they need to do to enhance their services, leading to sustained performance gains. We hope our insights sparked new ideas and discussions among attendees about the future of AI in ITSM. It was a pleasure to connect with so many like-minded professionals and exchange knowledge on this exciting topic. Let's continue to innovate and drive forward the integration of AI in multi-provider management! #AI #ITSMf #MultiProviderManagement #ProcessScoring #MachineLearning #ProcessSquad

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  𝗛𝗼𝘄 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝘁𝗶𝗺𝗲 𝗳𝗹𝗶𝗲𝘀... ⏳   It's been 5 months at roosi GmbH and what a fantastic journey it's been so far! A big thank you to all my colleagues for the warm welcome!   What have I been up to these past few months? After onboarding and writing my first articles and white papers, I've mainly been focusing on a new project called smart data worx - a collaboration between Oldenburgisch-Ostfriesischer Wasserverband (OOWV), AKDB, NIEDERSACHSEN WASSER Kooperations- und Dienstleistungsgesellschaft mbH and us at roosi GmbH. smart data worx targets key areas such as Water Resources Management, Climate Impact Adaptation, Geo Intelligence, Data Science and AI, Data Management and Analytics, as well as Smart City and IoT technologies. 🌍💡 There are 3 tools being developed currently: 𝘄𝗮𝘁𝗲𝗿 𝘀𝗽𝗼𝘁 𝟯𝟲𝟬: This tool transforms raw data into actionable insights using advanced technology and IoT sensors. It enables proactive, data-driven decisions for efficient water management and resource allocation. 𝗦𝘂𝗯𝘀𝘂𝗿𝗳𝗮𝗰𝗲𝗩𝗶𝗲𝘄𝗲𝗿: A comprehensive solution for advanced geological analysis and modelling. The latest version introduces semi-automated modelling and an expanded database for more accurate geological assessments. 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗿: Helps communities, public services and businesses develop climate action plans. It connects and processes data for effective communication, contributing to economic development, social cohesion and quality of life.   For more information visit 👉 smartdataworx.com   At the moment, all our content is published in German, but we plan to publish English content in the future.   We appreciate every follow on LinkedIn: smart data worx 🙌

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Wieder mal ein herausragend guter Growth Memo Newsletter Kevin Indig ! (+ gleichzeitig proof of concept: herausragender Content erzeugt Links/Shares) "𝐎𝐥𝐝 𝐖𝐨𝐫𝐥𝐝 [𝐨𝐟 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧]: 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐧𝐠 𝐢𝐧 𝐒𝐄𝐎 𝐦𝐞𝐚𝐧𝐬 𝐜𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐜𝐨𝐧𝐭𝐞𝐧𝐭, 𝐟𝐚𝐬𝐭𝐞𝐫. - Basic process: Keyword research > content brief > draft in SEO editor > edit > publish. - The mental model is summarizing and covering all topics of the top results for - a keyword. - Hire many writers for SEO. 𝐍𝐞𝐰 𝐰𝐨𝐫𝐥𝐝 [𝐨𝐟 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧]: 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐧𝐠 𝐢𝐧 𝐒𝐄𝐎 𝐦𝐞𝐚𝐧𝐬 𝐬𝐮𝐫𝐟𝐚𝐜𝐢𝐧𝐠 𝐚𝐧𝐝 𝐟𝐢𝐧𝐝𝐢𝐧𝐠 𝐧𝐞𝐰 𝐚𝐧𝐝 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. - Talk to customers on a regular basis about their problems and questions on a topic. - Hire researchers to find and add 1st party data to search-optimized content. - Hire subject matter experts to answer questions that really matter. - Make it convenient and pleasant to consume content. - Monitor content engagement and get qualitative reader feedback." 𝐔𝐧𝐝 𝐦𝐞𝐢𝐧 𝐋𝐢𝐞𝐛𝐥𝐢𝐧𝐠𝐬𝐬𝐚𝐭𝐳: "A better approach to content creation might be to insert a research phase after identifying the most important topics and prioritizing topics based on user interviews instead of search volume." Mein Reden. Danke :)

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To ensure that the digital world becomes accessible to everyone.

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#OMR Festival 2024 Learning from Live Experience into Mixed Reality UX Our CEO, Digital Transformation Expert Ulrich Buckenlei, is just back from the Hamburg Online Marketing Rockstar Festival 2024. He brought with him a backpack full of information, stories, and impressions, some of which have already influenced our app web and pipeline development, like our new spatial computing Apps for the Apple Vision Pro Headset we're developing for businesses worldwide. Here's a glimpse of the key insights: 👉 **Shaping Mixed Reality UX Development:** Insights from engaging with cutting-edge innovators like Google, SAP, and the Finance Forward conference). 👉 **Masterclasses on AI:** Unlocking the Google AI Advantage, Practical Generative AI Solutions, and Adaptive Customer Engagement. 👉 **Digital Trends to Mixed Reality:** Two inspiring days filled with masterclasses, guided tours, and side events at the OMR Festival, where over 70,000 digital enthusiasts gathered. We love to share our OMR festival with you. If you want to know more, ore discuss the hottest New Stuff send a PM to Ulrich Buckenlei. #AIdrivenMarketing #ImmersiveAdvertising #DigitalStorytelling #CustomerEngagementStrategies #MRAppsDevelopment #DigitalTransformationExpert #DigitalInnovator

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Search ist Search. Chat ist Chat.

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Very cool document on how to use GenAI tools in business with an eye for the bias in their results. If you don't speak German, maybe DEEPL can help to translate most of it. Take a look Fiona Ruff, Dr. Larysa Visengeriyeva, Barbara Lampl. There are comments in the original thread on how obviously the issue starts in the biased training data. Which is exactly why it's so important to know about how to check for diversity in the training data, when you build AI products, so this issue does not even show up in the default outcomes (which you should also check of course). Honestly this is the work we are all invited to do: unlearning the bias that surrounds us in the world - even without AI tools. We're all parts of the systems that created the biased training data to begin with. And we all internalized a lot of biased language and behavior that deserves reflection.

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