Marthe Moengen

Are you considering starting your journey from Tableau server to cloud? Then come and hear how others have already done it 🚀 Devoteam x Tableau event coming up next Thursday 30th of may from 9-13 at our Copenhagen office right next to Vesterport station and you are invited 😎 The agenda is the following: 9.00-9.30: Breakfast 🥐 9.30-9.55: Tableau cloud By Janne Lind, Tableau. Discover the advantages of Tableau Cloud and why it’s the smart choice for your data needs. Learn about performance, security, and a host of innovative features that add value to your operations, all through the convenience of the cloud. 9.55-10.15: Tableau pulse By Janne Lind, Tableau. One of the key features unlocked by using Tableau Cloud is Tableau Pulse. We’ll explore how Tableau Pulse enables you to achieve larger and quicker insights. 10.30-11.00: How to succeed in your journey to become more data driven By Cedric Wacker, Senior Consultant, Devoteam Data Driven 11.00-11.30: Lenus eHealth By Adithya Sailesh, Lenus eHealth. Insights and experiences from their Tableau journey from Server to Cloud. 11.30: Lunch and networking Sign up here: https://lnkd.in/e2eW722X Are you interested in hearing more about our other events like Snowflake meetup, free training, data platform, AI or other interestering topics! Please just reach out ⭐ #Tableau #Datadriven #Devoteam #Dataplatform #consulting

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🎙️ #TheDataDemocracyPodcast Episode 29 is out now! 𝐌𝐞𝐬𝐡𝐞𝐝 𝐔𝐩 𝐓𝐞𝐫𝐦𝐬: 𝐀𝐥𝐢𝐠𝐧𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 𝐌𝐞𝐬𝐡, 𝐃𝐞𝐛𝐚𝐭𝐢𝐧𝐠 𝐭𝐡𝐞 𝐃𝐢𝐜𝐭𝐢𝐨𝐧𝐚𝐫𝐲 ✔️📖 In this podcast episode, host Ole Olesen-Bagneux sits down with Jon Cooke, the founder of Dataception and a seasoned pioneer in the realms of data architecture and AI. He takes us through his diverse career journey, starting from his early days in virtual reality and aerospace to spearheading innovations in data strategies and AI at major consultancies and enterprises. Jon delves into the practical challenges of implementing data mesh architectures, sharing his nuanced views on the transition from vision to execution. He critiques common terminologies like 'data products’, proposing clearer communication to bridge the gap between technical teams and business stakeholders. Throughout the conversation, he emphasizes the importance of composable data architectures and the evolving role of generative AI in transforming how businesses handle and leverage unstructured data. As the discussion unfolds, Jon highlights his current work on cutting-edge projects that integrate AI with traditional data processes, reshaping risk assessment and decision-making frameworks. His insights offer a glimpse into the future of data management, where AI and data mesh principles converge to create more adaptive and intelligent enterprise ecosystems. 🎥 Watch this episode on YouTube: https://hubs.ly/Q02t6ZQd0 📻 Listen to this episode on your favorite podcast platforms: https://hubs.ly/Q02t71rb0 #podcast #datademocracy #datamesh #dataproducts #AI

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When Kai Stenberg, Knut Relbe-Moe and I checked the sessions, we had really difficult choices to do. But we were happy, that Mark Rackley decided to come from US to join our Oslo Community. Mark will share, how to create your own GPT Assistant with Azure OpenAI and Power Automate. Join us and learn a lot on November 30! #ai #powerautomate #azure #openai

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There are many ways to benchmark LLMs - is there a consensus which benchmarks can be used for Nordic languages or should we create one? The current ones used in research often rely on logprobs so can't be used with API based models. PS. phi-3 performance is quite wild

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I'm on the #Hyperight Nordic 100 list 🎉 🎉 🎉 The Hyperight Nordic 100 in Data, Analytics and AI list features Data, Advanced Analytics & AI practitioners or individuals strongly dedicated to supporting the data community and accelerating the Data and AI innovation capabilities in the Nordic region. They are Data and AI practitioners working in midsize companies or enterprises, academics, individuals promoting ideas or actions to increase the maturity in the area, experts in vendor organizations or agencies, governmental initiative representatives, spokesmen, or simply innovators developing new ways of working, new products or services. The Hyperight Nordic 100 In Data, Analytics and AI 2024 is divided into 9 categories depending on the area that practitioners are working in or supporting: Data Management, Business Analytics, and BI, Data Science, Machine Learning, AI, Data Engineering, Applied Analytics, Innovation and finally Ethics, Diversity, and Regulation. The List changes every year with 100 NEW names, and it is designed to recognize and celebrate the work and the efforts of exceptional individuals in our network who are driving the Data and AI innovation forward, selflessly sharing their knowledge with others, and inspiring young generations and other practitioners to follow the same path. The list should not be, in any way, perceived as a competition or a ranking list. Official Link to the List: https://lnkd.in/dqD8Yfy6 #HyperightNordic100, #Hyperight

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Curious about how Data Vault can improve the lifetime value of your data warehouse? Luckily for you, our Data Vault Experience Workshop is coming up in Munich next week, on September 17! At the totally free workshop, ADE crew members Greg G., Johanna Vainio, Tevje Olin, and Paula Ahonen will be ready to demonstrate how well you can optimize your Data Lakehouse when you power Data Vault with Agile Data Engine in your Databricks environment. According to Greg, Data Vault is especially helpful in designing and implementing data warehouses that are consistent, efficient, and scale easily. He appreciates how - with the right automation tools and organizational processes - Data Vault truly shines in setups with multiple sources and rapidly changing requirements. Grab your spot now: https://lnkd.in/dqg9xbMB **As a reminder, this event takes place at the offices of our implementation partner, Solita, located in the heart of Munich at Design Offices München Nove** Christoph Papenfuss Martin Zanker Florian Disson Anna-Maija S. Frank Zscheile Reinhard Seifert #DataVault #Databricks #DataLakehouse #DataVaultAutomation #DataModeling #DataModelingTraining #dataengineering #DataEventsBavaria

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How to… build a bridge between university and business? In a world where data is the new gold, data scientists play a crucial role in mining valuable insights and information for every company. And so we joined forces with UHasselt to bring together the data scientists of tomorrow with leading logistics companies. And what a succes that was! Read all about the project, the students’ experiences and the companies (read: Casa International point of view here 👇 Know anyone in the retail & distribution sector who might be interested? Tag them in the comments! PS. Triggered after reading? Join our event!

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"Are We Running Out of Data for AI?" (Featuring Encord) I’m very excited to share our latest episode of Artificially Ever After, where Riku and I dive into the (perhaps surprising) topic of data scarcity in AI. In this episode, we demystify: - The critical role data has played in recent AI breakthroughs, - How much data has been used so far...and how much is left, - What happens if we run out, - Potential solutions like synthetic data, multimodal labelling, and novel architectures. We were also fortunate to pick the brains of Oscar Evans from Encord, who shared invaluable industry insights on how companies are tackling this challenge through improved data curation and labelling. If you’re curious about the near-term future of AI development and the role of data, this episode is for you! 🎧 Listen now on Spotify, Apple Podcasts, Audible, and YouTube Music. 🔜 Stay tuned for our next episode, where we explore all things AI in sport! https://lnkd.in/e2kY6t6j

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🎉 Join us in welcoming Fivetran as a partner for the 10th jubilee edition of the Data Innovation Summit, on the 7th and 8th of May in Stockholm. Fivetran, the global leader in modern data integration, powers high-volume data movement for the enterprise. Built for the cloud, their mission is to make access to data as simple and reliable as electricity. They enable data teams to effortlessly centralize and transform data from hundreds of SaaS and on-prem data sources into high-performance cloud destinations. Fast-moving startups and the world’s largest companies use Fivetran to accelerate modern analytics and operational efficiency, fueling data-driven business growth. To learn more about the 10th Jubilee edition or sponsor the Data Innovation Summit visit https://hubs.ly/Q02-wHTX0 #DISummit2030 #GenerativeAI #LLM #AppliedAI #DataAnalytics #Analytics #DataManagement #DataGovernance #DataScience #DataEngineering #DataVisualization #DataMesh #DataQuality #DataSecurity #BigData #IoT #MachineLearning #ML #MLOps #DeepLearning #ArtificialIntelligence #AI #AIEthics #DBMS #DevOps #AppliedInnovation #ResponsibleAI #AIforSustainability

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Simplify the evaluation & implementation of AI by being unapologetically practical & objective of how it can be beneficial to you. Read these wise words from Lasse Rindom below. My top 3 favorites are: 💡 How people and enterprises work with AI 💡 What AI can and cannot do 💡 How AI works when touching the real world #ai #genai #innovation

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Is it time to release the full potential of your iManage Work platform? Contact Martin, Bjørn Tore, Benjamin, or Stefan to discuss e.g., 🚀 Process and data integration based on Custodian iPaaS. 🚀 Smart automation using Power Automate. 🚀 Extending the solution capabilities with our Smart Apps. 🚀 Adding capabilities with additional iManage products. 🚀 Improving user adoption. #MakingKnowledgeWork #LegalTech #CloudDMS #LegalInnovation #LegalDesign #LegalOps #LawTech #IntegrationAsAService

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Awesome catching up with the always inspiring Martin Lassen-Vernal for a walk n’talk in the wonderful Danish summer 🚶🚶☕️ Discussion points revolved around: - AI creativity following my post this morning - Is bias something we should accept wholeheartedly as we are biased creatures, accept reluctantly as a necessary evil, or combat fiercely as a flaw in our being (and in our AI models)? - How AI ideation is moving from business model revamps to a realisation that scaled atomic use cases might be the most realistic approach for now - The drain of energy it is to try to stay on top of AI development and make sense of it all as a voice of reason Did I forget anything, Martin? 😊 Talks like this always spur innovation and curiosity and I feel utterly energised from the exchange 🙏 Here’s to many more coffee chats that inspire! #network #coffee #ai #change 🤝 #Connect or #Follow for a blend of serious insights and lighthearted humor about everything IT and business 🎧 #Listen to The Only Constant podcast

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I've been busy designing a domain specific language for the statistics department at DNB, as part of the new generic statistical platform we are building on top of Fabric. This language allows the business to express what they want the system to do, with their data, instead of telling how to do it. This approach really resonates as the statistics compilation process is in many ways like software development. Having a language to express this proces in is really powerful. So I'm working with yaml and python code to define the spec and recipes in the custom language. Working with copilot is really wonderful for this scenario, as it excels in language skills. You can have lengthy discussions about your language spec, ask advice how to code it, find bugs and correct them. It has been a great time saver for me. Since we are designing a business language, I expect that copilot can help them in expressing their processes as well. You can give copilot the language spec and then let it generate the recipes you want by telling what you want to do. Really powerful stuf.

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This Fall we are teaching a course on LLMs and Generative AI at the University of Helsinki, together with Aarne Talman, PhD (Accenture) and Jussi Karlgren (Silo.AI, now AMD). Course page: https://lnkd.in/dqHAhEPA Aarne and Jussi took care of the foundation: intro to LLMs, prompt engineering, fine-tuning and evaluation. I gave the lecture on RAG (Week 5), which included a live demo built with Gemma LLM, SBERT and streamlit, allowing you to query your PDF files with natural language questions. The code runs locally, which means there is no dependency on any API provider. This certainly also means, that LLM inference may be much slower if ran on CPU (though having a local GPU isn’t a rarity today!). However, such an approach has certain benefits, for example the ability to query a sensitive PDF (say, a statement from your bank) without worrying that your precious data goes onto the cloud. In the blog post you will also find the lecture recording. I’d like to thank Aarne Talman, PhD for inviting me to co-teach this course, and to Atita Arora for helping out with some RAG materials and sharing her slides. In the lecture I have also relied on the work done by Daniel Bourke.

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Last week, I had a pleasure to teach the Week-6 topic: "Use cases and applications of LLMs". We looked at multimodal LLMs, as a very interesting, and in many ways still an emerging trend in the LLM world, covering text, image, video and audio modalities (you can ask: "What do you hear in this video?", for example, - besides a more regular "Does the man wear glasses?"). We covered PaliGemma, ColPali, Video-LLaMA models. I've also demoed various industry-grade LLM applications, including: * TomTom's Intelligent Vehicle Assistant - shoutout to Massimiliano Ungheretti, PhD (who starred in the lecture) and IVA team Ola Aleksandra Ferdzyn-Grzelak, Alexey Samuleenkov Cezary Draus and the rest of the team * BabyAGI - built by a VC, showing the power of modern LLMs to solving multihop challenges, like assembling a list of under-represented topics for a blog post * Code assist (GitHub Copilot, Cursor) and "office-assist" * Multimodal vector search we have built with Aarne Talman, PhD for the GSI Technology In the end we had a fun group brainstorming session, where students came up with the fields deserving to be improved by LLMs, benefits, risks and their mitigation. Sessions like this sparkle creativity in the audience and turn the class around (students help me complete the slides, which is always cool and appreciated). In the lab we looked at: 1) querying tables (extracted from PDF files) using natural language: "What was Google's operating margin for 2024?" -> "According to the table, Google's operating margin for 2024 is 32%." 2) generating synthetic data Link to the YT recording in the comments below. Follow the podcast for more content and interviews around LLMs, search, RAG, and emerging trends.

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We’re honoured to welcome Matthias Seeger, Principal Applied Scientist at Amazon AI, to the leading data science, ML, and AI event in the Nordics - NDSML Summit 2024, scheduled for the 23rd and 24th of October in Stockholm! On the Machine Learning + MLOps, Matthias will be presenting on "Challenges of Evaluating AI-Powered Troubleshooting Assistants". Matthias is a leading mind in machine learning and one of the scientists behind Amazon Q! With a Ph.D. from Edinburgh University, postdoc work at UC Berkeley, and a career spanning roles at the University of Saarbrueckens and EPF Lausanne, Matthias has made a huge impact in the AI and tech space. Since joining Amazon in 2014, he’s helped revolutionize how customers build, optimize, and operate applications on AWS. Oh, and did we mention he’s also an ICML Test of Time Award winner? Don’t miss this opportunity to meet Matthias and 400+ like-minded practitioners! Book your tickets at https://hubs.li/Q02RsQKs0 #NDSMLSummit #DataScience #AppliedDataScience #MachineLearning #ML #ArtificialIntelligence #AI #EnterpriseAI #DeepLearning #DataEngineering #MLEngineering #DataPipelines #BigData #Automisation #GenerativeAI #EthicalAI #TrustworthyAI #LLMs #DataOps #MLOps

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🌟 Proud to share that I was chosen as the Advanced Analytics Solutions Knowledge Sharing Presenter of the Year at CGI! 🌟 In our regular knowledge-sharing sessions, members present projects, explore new technologies, and share learnings. Anyone that knows me well is familiar with my passion for knowledge sharing between peers, both in and outside of work (hint: salsa 😉). So ever since I first joined CGI, I’ve been a consistent participant, presenting regularly. But frequency alone isn’t the goal, quality matters most. That’s why it feels so great to be recognised as the best presenter this year! Knowledge sharing is crucial in Data & AI consultancy, where: 🏎️ The technological landscape evolves rapidly, often too fast for any single person to keep pace alone. 💡 Though we work on separate projects, we often encounter similar challenges that benefit from shared insights. 🤝 Beyond just sharing information, these sessions connect us with the right people and spark engaging conversations around solutions and best practices. Shout-out to Jussi Heino for organising the sessions. I’m grateful to work in an environment that values collaborative learning highly. Here’s to more shared insights and continued growth! 🚀

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🚀 Reflecting on an Inspiring Day at #AppliedAINordics! 🤖✨ A few weeks ago, I had the pleasure of attending the Applied AI Nordics conference at the stunning DR Koncerthuset, and wow, what an experience! Some highlights from the day include: 1. ML vs AI: The mantra from the keynote speaker, Cassie Kozyrkov - “If it’s written in Python, it’s probably Machine Learning. If it’s written in PowerPoint, it’s probably AI.” - hit home💡👨‍💻 2. Strategic Thinking Over Tactical: A key takeaway was the importance of having a strategic plan for AI implementation. It’s not just about using tools like ChatGPT but aligning them with long-term goals. 🎯📈 3. Data Quality is King: The reminder that “garbage in, garbage out” underscores the crucial need for clean, representative data, whether for simple analysis or advanced AI models. It’s essential for ensuring accurate and reliable AI outputs. . 📊👑 A huge thanks to Todai and all the amazing speakers and organizers for a day packed with insights and energy. Excited to apply these lessons and follow the AI journey taking place at my own workplace VELUX! 🌟🚀 #AI #MachineLearning #GenerativeAI #TechConference #AIApplications

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