UnionAll

UnionAll

Datainfrastruktur och -analys

Stockholm, Stockholm County 645 följare

Data Commerce Made Easy.

Om oss

UnionAll is an AI-powered platform designed to streamline the establishment and management of branded data marketplaces for businesses. It facilitates effortless data listing publishing, multi-marketplace management, advanced data discovery, efficient data delivery, and opportunities for upselling and cross-selling. With UnionAll, data sellers gain a competitive edge, while newcomers can quickly launch their data marketplace, ensuring rapid entry into the data market and sustainable growth. UnionAll also offers expert consulting services in data strategy, data stack modernization, and AI acceleration.

Webbplats
https://www.unionall.ai/
Bransch
Datainfrastruktur och -analys
Företagsstorlek
2–10 anställda
Huvudkontor
Stockholm, Stockholm County
Typ
Privatägt företag
Grundat
2023

Adresser

Anställda på UnionAll

Uppdateringar

  • Visa organisationssidan för UnionAll, grafik

    645 följare

    UnionAll has been featured in MMC Ventures recent report in the data serving category! 🌟 It's exciting to see data sharing gaining momentum and attracting increasing levels of funding. 📈

    Visa organisationssidan för MMC Ventures, grafik

    23 497 följare

    We're excited to share our latest research. We have mapped c.250 startups within the European data ecosystem and answered questions such as: - In which areas are the most startups being founded? 📊 - How have funding trends evolved over the last five years? 💰 - How many data infrastructure startups are AI-powered, and how are they using it? 🧠 (hint - it's A LOT and growing...) - What developments in the AI space could help or hurt data infrastructure businesses? ❌ Read the full report here: https://lnkd.in/d9CA6nQ5 #Data #AI #Startups #DataInfrastructure #EuropeanTech

    250 European Data Infrastructure startups and what we learned from them | MMC Ventures

    250 European Data Infrastructure startups and what we learned from them | MMC Ventures

    https://mmc.vc

  • UnionAll omdelade detta

    Visa profilen för Pedram Birounvand, grafik

    CEO and Founder at UnionAll

    🚀 Thrilled to share that I had the privilege of joining the MetaDAMA podcast once again!🎙️ Had an insightful conversation with Winfried Adalbert Etzel about the future of data architecture and the transformative role of LLMs and vector databases in enhancing data literacy and driving data-driven decision-making. We also dove into the critical elements for fostering innovation within organizations and the key success factors that can empower an innovation team to truly excel. Looking forward to sharing these insights and continuing the dialogue on how we can all harness the power of data and innovation for the future. 🌐💡 🔗 Blog Post: A Paradigm Shift in Data Through AI https://lnkd.in/dKyBmF3q 🎧 Podcast on Spotify: https://lnkd.in/dMU3svMU #DataStrategy #AI #LLM #VectorDatabases UnionAll

    Visa organisationssidan för MetaDAMA, grafik

    511 följare

    «The notion of having clean data models will be less and less important going forward.» Unlock the secrets of the evolving data landscape with our guest, Pedram Birounvand, a veteran in data who has worked with notable companies like Spotify and in private equity. Pedram is CEO and Founder at UnionAll. Here are Winfried Adalbert Etzel's key takeaways: 🔹 When a new technology arrives, you need to adopt and figure out how to apply the new technology - often by using the new tools for the wrong problem. 🔹 There is substantial investment in AI, yet the use cases for applying AI are still not clear enough in many companies. 🔹 There is a gap I how we understand problems between technical and business people. Part of this problem is how we present and visualizer the problem. 🔹 You need to create space for innovation - if your team is bugged down with operational tasks, you are cannibalizing on innovative potential. 🔹 Incubators in organizations are valuable, if you can keep them close to the problem to solve without limiting their freedom to explore. 🔹 The goal of incubators is not to live forever, but top become ingrained in the business. 🔹 Find someone in the operational setting to take ownership from the start. 🔹 The more data you have to handle the better and clear should your Data Governance strategy be. 🔹 Small companies have it easier to set clear standards for data handling, due to direct communication. 🔹 You want to make sure that you solve one problem really well, before moving on. 🔹 Before intending to change, find out what the culture and the string incentives in your organization are. LLMs as the solution for Data Management? 🔸 ChatGP already today very good at classifying information. 🔸 It can create required documentation automatically, by feeding the right parameters. 🔸 It can supersede key value search in finding information. 🔸 This can help to scale Data Governance and Data Management work. 🔸 Data Management will become more automated, but also much more important going forward. 🔸 RAG architecture - first build up your own knowledge database, with the help of vectorizing the data into a Vector-database. 🔸 The results from querying this database are used by the LLM for interpretation. 🔸 Find a way to consolidate all your input information into a single pipeline to build your knowledge database. 🔸 Building strong controls on naming conventions will be less important going forward. 🔸 Vectorized semantic search will be much faster. 🔸 Entity matching will become very important. 🔸 Fact tables and dimensional tables become less important. Data to value 💎 Be able to benchmark your internal performance to the market understand trends and how they affect you. 💎 How to use and aggregate third party data is even harder than internal data. 💎 You need to find ways to combine internal and third party data to get better insights. 🎧 👇 Data Management Association Norway (DAMA) Den norske dataforening (DND)

  • UnionAll omdelade detta

    Visa organisationssidan för MetaDAMA, grafik

    511 följare

    «The notion of having clean data models will be less and less important going forward.» Unlock the secrets of the evolving data landscape with our guest, Pedram Birounvand, a veteran in data who has worked with notable companies like Spotify and in private equity. Pedram is CEO and Founder at UnionAll. Here are Winfried Adalbert Etzel's key takeaways: 🔹 When a new technology arrives, you need to adopt and figure out how to apply the new technology - often by using the new tools for the wrong problem. 🔹 There is substantial investment in AI, yet the use cases for applying AI are still not clear enough in many companies. 🔹 There is a gap I how we understand problems between technical and business people. Part of this problem is how we present and visualizer the problem. 🔹 You need to create space for innovation - if your team is bugged down with operational tasks, you are cannibalizing on innovative potential. 🔹 Incubators in organizations are valuable, if you can keep them close to the problem to solve without limiting their freedom to explore. 🔹 The goal of incubators is not to live forever, but top become ingrained in the business. 🔹 Find someone in the operational setting to take ownership from the start. 🔹 The more data you have to handle the better and clear should your Data Governance strategy be. 🔹 Small companies have it easier to set clear standards for data handling, due to direct communication. 🔹 You want to make sure that you solve one problem really well, before moving on. 🔹 Before intending to change, find out what the culture and the string incentives in your organization are. LLMs as the solution for Data Management? 🔸 ChatGP already today very good at classifying information. 🔸 It can create required documentation automatically, by feeding the right parameters. 🔸 It can supersede key value search in finding information. 🔸 This can help to scale Data Governance and Data Management work. 🔸 Data Management will become more automated, but also much more important going forward. 🔸 RAG architecture - first build up your own knowledge database, with the help of vectorizing the data into a Vector-database. 🔸 The results from querying this database are used by the LLM for interpretation. 🔸 Find a way to consolidate all your input information into a single pipeline to build your knowledge database. 🔸 Building strong controls on naming conventions will be less important going forward. 🔸 Vectorized semantic search will be much faster. 🔸 Entity matching will become very important. 🔸 Fact tables and dimensional tables become less important. Data to value 💎 Be able to benchmark your internal performance to the market understand trends and how they affect you. 💎 How to use and aggregate third party data is even harder than internal data. 💎 You need to find ways to combine internal and third party data to get better insights. 🎧 👇 Data Management Association Norway (DAMA) Den norske dataforening (DND)

  • Visa organisationssidan för UnionAll, grafik

    645 följare

    🌟 Exciting News! 🌟 We're pleased to announce that Tharaka Romesh, our talented Software Engineer, just joined our team. Tharaka holds a Master's degree in Advanced Software Engineering from University of Westminister and brings 6 years of valuable experience, including a tenure at the Swedish fintech Anyfin. Tharaka will enable UnionAll's mission to make selling and buying data easier than ever. Welcome to the team, Tharaka! We're already impressed by your achievements this far. 🚀

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