Henrik Göthberg’s Post

Highlights from the Zurich AI Conference!   Yesterday’s AI Conference in Zurich brought together brilliant minds and thought-provoking ideas! Here are our top 3 insights from each panel discussion:   1️⃣ Embracing Data Ownership for Business Success   In today’s fast-paced world, businesses must secure a solid data foundation to stay ahead. Peter Wanda emphasized the importance of focusing on “easy wins” to build momentum before launching large-scale solutions. His advice? Aim for that “wow effect” with smart, well-executed implementations. The innovation pipeline starts small but scales big!   2️⃣ Infrastructure First, AI Second   Dr. Sina Wulfmeyer underscored the importance of strong data architecture for successful AI. Flashy applications can’t reach their full potential without the right infrastructure. Her mantra: “Start with the basics, then scale.” Aaron Hand raised another crucial point—sustainability. As AI models grow larger, the industry must prioritize reducing their environmental footprint to align with broader sustainability goals.   3️⃣ Striking a Balance Between Regulation and Innovation   Ken Forster's insights on EU vs. US approaches to AI regulation sparked a lively discussion. From an EU perspective, this was also recently emphasized in the European Commission competitiveness report. More concretely, Christian Kronseder reminded us that AI’s potential goes beyond LLMs in which high quality data infrastructure is essential to support all advancements.   At moe & company, these takeaways strengthen our commitment to turning data into value both effectively and sustainably. We could not agree more with the importance of laying a strong data foundation in order to be effective in the analysis capabilities empowered by AI. On that topic - stay tuned for our next post, where Andreas Margelisch will dive deeper into the relevance of a proper strategy to achieve this!   Thanks again to Adam Fulham and Startup Network Europe for organizing this fantastic conference! It’s inspiring to see Zurich become a hub for exchanging ideas on the future of AI and data science.   #AI #DataScience #Innovation #Sustainability #ZurichAI #TechTrends #FutureOfAI

🔥On October 9th, at the first edition of the #AISummitPoland2024 conference, I will participate in the panel discussion titled "Are Polish companies ready for the AI revolution?" moderated by Przemyslaw Gamdzyk, CEO and Meeting Designer at Evention. Along with Jakub Borowiec, Partner and Leader of the Analytics & AI team at PwC, Andrzej Sobczak, Professor at the Warsaw School of Economics, Szymon Walach, Vice President for Digital and Strategy at InPost, and Marek Wilczewski, Managing Director for Information, Data, and Analytics at Grupa PZU, we will discuss: 👉       whether Polish enterprises are ready to implement AI-based solutions; 👉       traditional industries that have been hesitant to adopt technological innovations and whether they can effectively implement AI; 👉       the requirements of the AI revolution and the gaps that Polish companies need to address in IT infrastructure and organizational competencies. The #AISummitPoland2024 conference focuses on the potential of artificial intelligence, the challenges that its rapid development poses for organizations, and whether they will be able to compete in an increasingly demanding market if they do not take action in this direction. You can read more about the conference here: https://lnkd.in/d6hPuzSK #AISummitPoland #AIrevolution #AIpotential #AIchallenges #techrevolution #innovations 

So inspiring. Everyone gains through collaboration

The highlight of the week was definetely participation at the Data Innovation Summit i Stockholm. It is all about data when it comes to building readiness for adoption of AI in different fields. Most large companies face same challenges but it is a question which companies are quickest to change. After all, it is also all about people, company culture and collaboration. My colleagues from Nordea Technology, Adarsh Mahesan Shyna and Yatin Mittal gave a great presentation on dynamic data masking as an example of innovation related to data quality. Great stuff! #DataInnovationSummit #DIS2023 #mynordea #AI #Data #changemanagement #collaboration

🚀 Weekly Tech Roundup: Unveiling the Latest Innovations! 🌟 In this week's blog post, we dive into some groundbreaking developments in the tech world that you won’t want to miss! 🤖 Generative AI:  Discover the insights from MarkTechPost on RAG AI Agents, exploring their unique functionalities and future implications. Join the conversation about the complexities of AI agents—are they a boon or a challenge? 🔧 Build Your Agents from Scratch:  Hamza Farooq takes us on an exciting journey to create custom AI agents, emphasizing hands-on development over pre-built frameworks. This approach empowers us to unlock endless possibilities in AI! 🔍 Microsoft's RD-Agent: Learn how this open-source tool is revolutionizing research and development by automating repetitive tasks, allowing researchers to focus on innovation. How will RD-Agent change the R&D landscape? 📊 Streaming Insights: Delve into the inner workings of **Apache Kafka** with a deep dive into producer requests and understand how to optimize your Kafka setups for improved performance. 🏗️ The Stream House Concept: Hubert Dulay explores how merging streaming platforms with lakehouse architectures can streamline data management and enhance real-time insights. Could this redefine data processing for businesses? 📈 RisingWave v2.0 Highlights:  Discover the exciting new features in RisingWave's latest release, including time travel queries and better compatibility with Parquet files, enhancing the way we handle streaming and batch data processing! 🌍 WIND (What Is Niels Doing): Join us in preparing for the Data & AI Community Day Durban: Season of AI - Copilots & Agents event on November 23. We're excited to bring together experts for a day of learning and networking. Want to be a speaker? Check out the Call for Speakers! 🔗 Stay informed and join the conversation by checking out the full blog post! Your thoughts and insights are always welcome! 💬 👉 https://lnkd.in/dZyyPNYx #AI #GenerativeAI #aiagents #mvpbuzz #aimldatadurban #dataaicommunityday #SeasonOfAI #datacommunity #StreamingAnalytics #realtimeanalytics

At the Nordic Data Festival, Peter Sarlin succinctly responded to a query about the definition of AI: ~ We stop talking about AI when we start doing it. The answer underscores the integration of AI into everyday applications like automated logistics, autonomous vehicles, medical diagnostics, office and home security, resource optimisation, content curation, text generation..... Generative AI can be regarded as a collection of models, tools, and algorithms that embed data into services and products. Understanding your data is crucial, ranging from harvesting open web data to proprietary organizational data. Sovereign models with closed loops differ significantly from open-source foundational models. Presentations on data space networks and initiatives across Europe emphasize the importance of enabling data exchange and access across organizations, industry sectors and value chains to foster shared data ecosystems. Can data spaces enable development of domain-specific foundational models and vice versa? Domain and industrial solutions call for infrastructures like data spaces to spur innovations within data ecosystems. In the future, foundational AI and LLMs are anticipated to evolve toward industry-specific applications. At the European level, it is vital to ensure that LLM advancements encompass regional languages, reflecting in AI-enhanced services and products. The role of software companies in value distribution is significant. In summary, the development of AI models and data spaces should be interconnected to advance mutual goals. Data spaces facilitate large-scale data exchange for processing with AI, creating a "virtuous circle" at its best that enhances also model and data quality for solutions beneficial to European industries. This vision necessitates pragmatic collaboration among businesses, tech and software developers, public entities, and policymakers. Most importantly, it calls for recognizing these opportunities in partnership with individuals as customers, professionals, citizens, and future generations. It was so nice to meet many old and new data friends and colleagues! Thank you our Gaia-X team and partners at Business Finland and VTT for putting together this event and for all insightful presentations. #NordicDataFestival

🚀 Great Speech by Sorin Cheran , CTO of Data and AI and Innovation at #HPE at Big Data Warsaw Summit 🚀 "Generative AI technologies have taken the world 🌍 by surprise...." In a presentation, Sorin Cheran elucidated the 'Pyramid of Usage' 🔺️ - a framework that illustrates the journey from basic AI consumption to the creation of new architectures and sophisticated model fine-tuning. This model underscores the increasing demands for computational resources, expertise, and infrastructure as organizations progress from utilizing AI to customizing it. For enterprises embarking on the AI journey, adopting a strategic approach is a must. Following Sorin's recommendations: 🧭 Identify where your organizational needs fall within the "Pyramid of usage" and build strategy based on this 🔒 Establish robust governance to protect IP and ensure data privacy. 🤝 Evaluate AI partners based on their technology, ethical considerations, and how well they align with your business objectives. 💡 Engage proactively in Proof of Concept (POC) projects to assess capabilities and compatibility. 🌐 Cultivate partnerships and keep pace with the fast-evolving AI ecosystem. Kinga Piecuch Karolina Solecka Krzysztof Chibowski Artur Studziński Marcin Kołakowski Gabriela Piątkowska Maciej Grabowski Paweł Hałoń

In the past couple weeks #SASInnovateOnTour stopped in Central & East Europe with incredible events in Warsaw, Frankfurt, and Milan engaging with more than 1500 customers and partners. The energy and enthusiasm from all participants were palpable, making each event a vibrant exchange of ideas and insights. Here are my top three takeaways from this inspiring tour: Driving business value with data and AI: We heard from thought leaders, SAS executives, customers, and partners on how to harness the power of data and artificial intelligence to drive business value. The discussions were a testament to the transformative potential of these technologies. Exploring the latest trends: The sessions unveiled the latest trends in #technology and AI, and gave us a sneak peek into the SAS roadmap for the future. It was fascinating to see how AI and #GenAI are shaping the business landscape and society at large. Unmatched passion and curiosity: The hackathon sessions were a highlight, showcasing the passion and curiosity of all participants. I am incredibly proud of the dedication and energy my teams poured into organizing these events. At SAS Innovate on Tour, we went all in on #data and #AI, championing a human-centric approach to technology and innovation. Looking forward to continuing this journey of growth and innovation together! #SASInnovateOnTour #Data #AI #Innovation #Growth #Technology @SAS

Only a week away from the 9th edition of the Data Innovation Summit❗📣 Next up, we're ecstatic to announce Giuseppe Mura, the Director of Solution Engineering, EMEA from StreamSets Inc. . He will be addressing yet another important topic in the #AI world. With the imminent mass adoption of AI, the possibilities for good are stunning, so too is the potential for calamity. #AImodels rely on a constant influx of high-quality #data for training and inference. Yet #datamanagement is still a huge challenge for enterprises. Key takeaways: ⚝ The challenges of scaling AI ⚝ How modern data integration can remove AI scaling challenges ⚝ Moving beyond data integration for even better AI results 💥 Get some of the last remaining tickets for the Data Innovation Summit 2024 and be a part of the biggest Data, AI & Advanced Analytics event of the year in the Nordics and Beyond! 💥 Register at https://lnkd.in/dRZnqxj . . . #datapipelines #analytics #machinelearning #datasets #qualitydatasets #dataops #mlops #automl #cloudml #fastdata

I recently had the privilege of attending the #AfricaTechFestival focused on the transformative power of #AI and its growing impact on businesses across industries. The event showcased cutting-edge technologies and innovative solutions, but one theme stood out prominently: the critical importance of #dataquality and #masterdatamanagement in the era of #AI. As someone deeply engaged in #SAPMasterDataManagement, it was energising to see how conversations consistently emphasised that #AI’s effectiveness hinges on high-quality, well-managed data. Whether it’s predictive analytics, automation, or decision-making systems, the outcomes are only as good as the foundation they’re built on—and that foundation is reliable, consistent, and accurate data. Key takeaways for me: 📌 AI is only as smart as the data it’s fed—garbage in, garbage out. 📌 Master data management is the unsung hero behind successful digital transformation journeys. 📌 Collaboration across departments is vital to ensure that data governance frameworks are established and followed. Events like these remind me why I’m passionate about working in this space and contributing to the future of data-driven decision-making. #ArtificialIntelligence #MasterDataManagement #DataQuality #ITFestival #DigitalTransformation