DataArt

What does it take for agentic AI to become a trusted capability in regulated industries? At Swiss Biotech Day 2026, Basilea Pharmaceutica and Luzsana Biotechnology Europe AG discussed how agentic AI is delivering in trial execution today, and what realistically comes next. Together with PSI and Arango, we contributed to a discussion focused on real-world deployment challenges, including operational impact, data readiness, and how organizations can evaluate AI performance at scale. A pragmatic view on what it takes to move AI from experimentation to execution. Watch the discussion here: https://bit.ly/4wJVE3v #AgenticAI #DataStrategy #DigitalTransformation #SwissBiotechDay

As part of the #SupportUkraine initiative, DataArt and its partners have made a charitable contribution to the “Second Wind” Charitable Foundation. The foundation helps people recover physically and mentally after limb loss. Our contribution will support adaptive sports, climbing, and team-building activities within the veteran community. These activities help people rebuild strength, confidence, and a sense of possibility. 💙💛 Thank you to everyone involved for your tireless and inspiring work.

What stood out most? “It’s how much fun it is.” 𝗧𝗵𝗲𝗿𝗲 𝗶𝘀 𝗻𝗼𝘁𝗵𝗶𝗻𝗴 𝗯𝗲𝘁𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗵𝗲𝗮𝗿𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗮 𝗰𝗹𝗶𝗲𝗻𝘁! Caroline Baldwin, COO of The Entrust Group, shares what it’s actually like to work with DataArt — and it comes down to one thing: the right partner doesn’t feel external. They feel like a natural extension of your team. A big thank you to Caroline and the Entrust team for their trust, openness, and for being such a brilliant partner to build with. Watch the full story below 👇

“I don’t think AI is that intelligent.”    Our PM Elena Tkachenko (Verbitskaya), PhD in artificial intelligence, explains why AI isn’t another human – and why that’s exactly how it can help Product Managers.    Watch the Human in the Loop video on where AI helps, and where its limits matter.    #DataArt #ProductManagement #AIatWork #FutureOfWork #HumanInTheLoop 

🤖 𝗔𝗜 𝗶𝗻 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝘁𝘆 𝗶𝗻𝘀𝘂𝗿𝗮𝗻���𝗲 𝗶𝘀 𝗼𝗳𝘁𝗲𝗻 𝗳𝗿𝗮𝗺𝗲𝗱 𝗮𝘀 𝗮 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻. Agentic AI. AI-enabled underwriting. Smart workflows. But in our webinar on Monday, May 11, Khalid Desai, Arno de Wever, Ed Simmons, and oliver P. explored a less flashy — and much more critical — starting point: the data foundation underneath it all. Because without clean, connected, well-structured data, even the most advanced AI initiatives run into the same problems: messy bordereaux files, legacy schemas, unclear lineage, and one-off fixes that don’t scale. 𝗧𝗵𝗲 𝗱𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗰𝗼𝘃𝗲𝗿𝗲𝗱: • Why metadata and lineage still matter more than the latest AI acronym • How medallion-style architecture can bring order to underwriting and claims complexity • What a realistic path to data maturity actually looks like • Why data quality quietly drives every AI win the industry talks about 📊 AI hype comes and goes. Solid data foundations don’t. Watch the full webinar here: https://lnkd.in/dPc8PHN8

Ten months on the bench can feel like a career dead end. For Gustavo Meller it became a turning point. Gustavo, our Senior Developer, spent over 10 months without a client project. Twice, his contract was close to ending. Instead of waiting, he kept learning. A lot! 748.8 hours of internal courses – the highest number ever recorded at DataArt. New tech. New habits. Real practice, supported by AI-driven exercises. Two days before his contract expired, the right project finally appeared. 👉 Here is how Gustavo turned a difficult career phase into a thrilling result: https://lnkd.in/eTS3Pd-d #DataArt #CareerGrowth #LearningCulture #TechCareers #Upskilling

🎉 For the third consecutive year, DataArt has received the 𝟮𝟬𝟮𝟲 𝗕𝗘𝗦𝗧 𝗔𝘄𝗮𝗿𝗱 from the Association for Talent Development (ATD). Over the past year, we expanded our AI and data learning programs, introduced new initiatives around AI-enabled software development, and continued investing in large-scale reskilling efforts designed to help engineers stay ahead of a rapidly changing market. This included role-specific AI learning in multiple formats, comprehensive data learning paths, mentoring programs supporting career growth, and AI-powered learning tools that provide feedback on assignments, review code, and simulate client conversations. The #BESTAward is ATD’s highest recognition for talent development, and receiving it for the third year in a row reflects how deeply learning is embedded in DataArt’s engineering culture and day-to-day work. A huge thank you to everyone across DataArt who shares knowledge, mentors colleagues, and helps build learning programs that ultimately strengthen the value we deliver to clients. Learn more about our awards and recognitions: https://dataart.com/awards Maryna Melnik, CPTD, Kseniya Zhytsina, Anna Horeva, Regina Khalikova, Viktoryia Smalenskaya, Evgeniya Pomazay, Alena Belova, Dmitry Provad, Yuliia H., Tetiana Shevchenko, Yelyzaveta Zolotarova, Yenlik Tazabek, Yurii Yurchenko, Viktoriia Kudoiarova, Meruyert Orazbayeva, Alexander Krivitskiy, Ivan Shamis, Євген Герко, Juri Danilov #ATDAwards #ATD26

“You have to change your mindset radically. If you don’t think critically, you will degrade.” DataArt Delivery Manager Andrey Sadakov explains how to treat AI as a thinking companion, not an answer machine. Watch the new Human in the Loop video on how humans stay in control. #DataArt #AIatWork #DeliveryManagement #FutureOfWork

We’re proud to sponsor the 2026 𝗟𝗼𝗻𝗱𝗼𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗦𝗰𝗵𝗼𝗼𝗹 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗛𝗮𝗰𝗸𝗮𝘁𝗵𝗼𝗻, uniting students, healthcare leaders, and technology experts to explore disruptive ideas and create meaningful advances in healthcare through digital innovation. Hosted by London Business School Healthcare Club and London Business School, the hackathon will take place on 30 May, gathering more than 100 students from leading UK universities, including University of Cambridge, University of Oxford, Imperial College London, and University College London. Participants will work on a challenge co-defined with LBS academics, developing rapid MVPs on a low-code platform with guidance from mentors across healthcare, healthtech, and technology. We’re especially excited to see Volodymyr Tymashov joining the judging panel, and Nikita Kozlov supporting teams as a mentor throughout the event. Looking forward to a day of collaboration and innovation in healthcare! #Healthcare #HealthTech #DigitalHealth #Hackathon #LondonBusinessSchool 

Cortex Code changes an important assumption in data engineering: the AI assistant now lives inside the data platform, close to the workflows, metadata, and governance layer itself. We tested Snowflake Cortex Code live across onboarding workflows, dataset implementation scenarios, Streamlit integration, and CLI-based development. What stood out wasn’t just the acceleration. It was the dependency on structure. When architecture definitions, reusable patterns, and project standards already exist, Cortex Code can dramatically reduce onboarding time and automate repetitive implementation work. When they don’t, the assistant exposes the inconsistency instead of solving it. Ahead of 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲 𝗦𝘂𝗺𝗺𝗶𝘁 𝟮𝟬𝟮𝟲, we explored: • Where Cortex Code delivers real value • How spec-driven workflows change implementation • What still requires human oversight • Why architecture maturity matters more than prompts Read the full article by Mykyta Tkachenko, Solution Data Architect: https://lnkd.in/dC9iyUKa #Snowflake #CortexCode #DataEngineering #dbt #Airflow #DataPlatforms #AIEngineering