Amsterdam AI’s Post

Well written piece in Solutions Review by Tim King Why You Should Attend 🧠 For data engineers: Broaden your knowledge and expand your skills by learning from industry experts and your peers how to deliver high-quality, reliable data for every use case from BI to AI. 🧠 For data scientists: Learn how lakehouse and tools like MLflow can accelerate productionization of models, increase productivity, reduce risk and increase ROI on new models. 🧠 For data architects: Architects require a future-proof, unified platform that facilitates all analytics and AI on one data copy, catering to diverse data types while ensuring organization-wide security and governance. 🧠 For data executives: Learn how the lakehouse architecture unifies data, analytics and AI on a single platform for better performance, lower TCO and faster innovation. There is still time to register! https://lnkd.in/gKQ_84Sh https://lnkd.in/gYHDwHb5

We are thrilled to share that our AI and Data Engineers: Joanna Gajda, Filip Sokołowski, and Maciej Bryński participated in the largest Data/AI conference in the CEE region, Data Science Summit   One point was Maciej Bryński's presentation, "Never Underestimate the Power of a Single Node."   In his talk, Maciej delved into an often-overlooked topic in today’s distributed computing era: the power and efficiency of well-optimized single-node solutions. He explored the performance trade-offs between distributed frameworks like Apache Spark and modern single-node tools like DuckDB, Pandas, and Polars.   We are proud to have been part of such an inspiring event and look forward to continuing the conversation about innovative approaches in data engineering and AI! 🚀   #DataScienceSummit #DSS24 #DataScience #MachineLearning

Next to all the developments in AI, it’s easy to forget more basic — but no less essential — skills such as being able to make sense of your data in the first place through data visualization. I will give a talk at the upcoming PyData Zurich meetup on Vega-Altair, a simple, friendly, and powerful data visualization library. Would be great to see you there!

"Skate to where the puck is going; not where it has been". Couldn't be prouder of what Dataiku has accomplished in this Magic Quadrant for Data Science & Machine Learning Platforms. When I joined Dataiku a couple years ago, we we're the Infrastructure Agnostic Underdog in a Hyperscaler dominated market. Fast-forward to today, and our success & adoption in Quebec continues to grow, with leading enterprises seeing the value of our Everyday AI vision. Come find out why we're positioned as a Leader with the highest "Completeness of Vision" score - thanks in part to our LLM Mesh.

LLMs hallucinate. These hallucinations aren't going anywhere without human intervention. So how do you begin solving this problem especially when you need your business to rely on these outputs? Check out our latest webinar with Imran Chaudhri and Biju George using the Progress Data Platform powered by Progress MarkLogic and Progress Semaphore to put human insight into the AI loop, at an enterprise scale, Evolving Your Data Architecture for Trustworthy AI Apps. Find out how to improve accuracy, and trust, and lower technical barriers, by combining LMMs with your private and proprietary data. #artificialintelligence #largelanguagemodels #datamanagement #dataplatform https://lnkd.in/eTp3k56j

Can officially say Data & AI Summit is next month! Two simple things I like about this event and the opportunity it brings our customers: 1) With our summit held June 10-13, your team can head back to the keyboard with fresh ideas and ~half the year left to bring more productivity to data pipelines. If your AI goals seem like they're currently a stretch for 2024, this event comes at great timing to find a way to make those a reality. 2) Being a Lakehouse, our platform is meant to serve data engineers, architects, scientists & analysts. We've made our event one that can serve the whole team as well! Check out the differing session tracks for more. For more reasons why to attend, check this out --> https://lnkd.in/gDF5piRC

📣 Here's a great set of talks shared by Data Engineering and Machine Learning Summit co-host Benjamin Rogojan.

Unlock the Power of Your Data with Databricks! Join us for an exclusive live webinar on how to modernize your data estate with Databricks. Hear from our experts Chandra Lakshminarayan, VP of Data & Analytics, and Suman Adhikari, AVP of Data & Analytics at WinWire, as they guide you through the journey of transforming legacy systems into a scalable, cloud-native data architecture. In this webinar, you’ll learn: 1. How to seamlessly move away from legacy systems. 2. The role of Databricks in unifying AI, machine learning, and analytics. 3. How to drive cost efficiency, boost innovation, and accelerate data-driven insights. Register now to secure your spot https://lnkd.in/ggC5tJJy #DataEstate #Databricks #Webinar #DataEstateModernization #Analytics

🚀 Thrilled to have been part of the Data + AI Summit 2024! 🌟 This event was an absolute must-attend for data leaders, engineers, scientists, and architects alike. I was especially excited to hear from industry titans like Ali Ghodsi (Databricks CEO), Jensen Huang (NVIDIA CEO), and Fei-Fei Li (Stanford University Professor). Their insights and innovations were game-changing. With over 500 sessions on topics like “AI and the Lakehouse” and “Software 2.0: Shipping LLMs with New Knowledge,” there was so much to dive into. The advancements in technologies like Apache Spark™, Delta Lake, MLflow, PyTorch, and more are set to redefine our field. It was incredible to get a sneak peek at the new features in the Databricks Data Intelligence Platform. I’m thrilled to announce that I’ll be attending in person next year! Looking forward to meeting everyone face-to-face and building stronger professional relationships. A highlight for me this year was the session on the “Unity Catalog Announcement and AI/BI Gen Project.” The insights shared were truly mind-blowing! 🤯 Can’t wait to continue this journey and see what the future holds for our community! #DataAI2024 #DataScience #AICommunity #DataAISummit #DataAI2024 #ArtificialIntelligence #MachineLearning #BigData #AICommunity #DataAnalytics #TechInnovation #OpenSource #Databricks

The TDWI conference is happening this week. I used to attend this conference annually before COVID. The sessions were great for brushing up on the basics and checking out the newest developments in data, especially in Data Warehousing and Data Lakes. One of the major topics of discussion a few years back was the debate between buying versus building in the Data Warehouse space. Solutions like Snowflake, Redshift, and others heavily influenced the trend towards buying. Most companies were already investing in off-the-shelf solutions across BI, Data Lakes, and Predictive Analytics. However, with the advent of Generative AI, I'm noticing a significant shift back towards in-house development. Building in-house requires fewer specialized skills, and the rise of no-code solutions has made it accessible to non-technical folks. For more technical products, the steep engineering productivity curve often tips the financial scales in favor of in-house development. I believe these trends are likely to accelerate further. Overall, with the advent of AI, in my opinion, it seems like more companies will choose to create their own technology solutions rather than buying them as the industry evolves. #dataanalytics #datawarehouse #datalake