DataArt

You've picked your agentic AI framework. But have you defined what business problem it actually solves? If the answer requires a pause, that's the problem. The 2026 Gartner® "The 10 Deadly Mistakes That Turn Agentic AI Into a Costly Failure" identifies Mistake #1: "Equating Product Strategy With AI Agent Framework or Tool Selection." In our experience, the pattern looks familiar: a platform gets selected, momentum builds, and the question of what measurable outcome we're driving toward comes later. Sometimes much later. The fix isn't complicated, but it has to come first: define the business problem, required capabilities, and governance structure before any vendor conversation begins. This mistake is common. It's also entirely preventable. We've seen what getting this right looks like, and what it costs when teams don't. Access the full Gartner® report: https://lnkd.in/eYyeqKWs #AgenticAI #AIStrategy #DigitalTransformation #EnterpriseAI #DataArt

We’re honored to see 𝗔𝗿𝘁𝗶𝘀𝘆𝗻 𝗿𝗲𝗰𝗼𝗴𝗻𝗶𝘇𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗚𝗹𝗼𝗯𝗲𝗲® 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗔𝘄𝗮𝗿𝗱 in the 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 & 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲 category! It reinforces what many organizations are already experiencing: the future of software delivery will depend on turning AI into a disciplined, repeatable part of how work gets done. The question is no longer whether to adopt AI, but how to apply it responsibly while maintaining governance, compliance, and control in complex delivery environments. That challenge is exactly what Artisyn was built to address. Learn more: https://lnkd.in/dCCRfsi9

What does DataArt actually expect from ML engineers at different levels? This guide breaks it down — Junior, Middle, Senior — with no buzzwords and no “know everything” myth. The key insight: 👉 60–70% coverage is enough to start. The rest is learned on real projects. From classical ML to GenAI, from production-ready code to client communication — this is what growth looks like in practice. Thinking about an ML role at DataArt? This is your map https://lnkd.in/dpsFhhWk #DataArt #MachineLearning #MLCareers #AIEngineering #TechCareers

Partnership that really matters: DataArt has received an OroCommerce EMEA Spirit Partner Award 2026 As an OroCommerce Gold Partner, we've been helping manufacturers, distributors, and wholesalers worldwide modernize their B2B commerce operations, combining OroCommerce's AI-enabled B2B Commerce Platform with DataArt's expertise in data, AI, and digital transformation. The award recognizes not only the success we've delivered for our joint customers, but also the strength of our go-to-market collaboration, turning shared expertise into tangible business results and new opportunities across the globe. We look forward to continuing to help #B2B organizations innovate, grow, and lead in an AI-driven future. #b2bcommerce #digitaltransformation

We’re proud to share that 𝗗𝗮𝘁𝗮𝗔𝗿𝘁 is now a 𝗦𝗲𝗹𝗲𝗰𝘁 𝗽𝗮𝗿𝘁𝗻𝗲𝗿 in the 𝗖𝗹𝗮𝘂𝗱𝗲 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗧𝗿𝗮𝗰𝗸, expanding the company’s ability to support organizations implementing Claude technologies in large scale enterprise environments. Teams across DataArt are already working on initiatives involving Claude for Enterprise and Claude API integrations, alongside 𝘈𝘳𝘵𝘪𝘴𝘺𝘯, our AI-enabled operating model for software development. In client engagements, 𝘈𝘳𝘵𝘪𝘴𝘺𝘯 has contributed to up to 70% faster prototyping and a 30% improvement in development efficiency. As enterprise AI adoption continues to mature, organizations are placing greater attention on how these technologies operate in production environments where engineering quality and operational stability matter at scale. Read the press release: https://lnkd.in/dZ3QGhcx Anthropic

3 ways to build the same AEM microsite. The results aren’t equal. Aliaksandr Mikhailau, our AEM Expert, tested all Edge Delivery Services authoring options in one POC. ⏱️ AEM Sites: ~30 min ⏱️ Google Docs: ~40–50 min ⏱️ da.live: ~1 hour Frontend? A custom component took ~1 hour vs 8–16 hours in classic AEM. Aliaksandr shows how each option behaves in practice—and where each one makes sense when speed, governance, and developer experience matter. 👇 https://lnkd.in/dwSSgG8r #DataArt #AEM #AdobeExperienceManager #WebDevelopment #DXP #Frontend

𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗱𝗮𝘁𝗮 workflows are complex by design. The key challenge is not whether AI can add value, but 𝗵𝗼𝘄 𝘁𝗼 𝘃𝗮𝗹��𝗱𝗮𝘁𝗲 𝘁𝗵𝗮𝘁 𝘃𝗮𝗹𝘂𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗰𝗼𝗺𝗺𝗶𝘁𝘁𝗶𝗻𝗴 𝘁𝗼 𝗳𝘂𝗹𝗹-𝘀𝗰𝗮𝗹𝗲 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻. Many organizations understand the potential of AI in this space. Fewer have a structured path to move from concept to production without significant upfront investment or uncertain outcomes. DataArt's 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗳𝗼𝗿 𝗜𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁 𝗗𝗮𝘁𝗮 𝗣𝗼𝗖 helps financial services teams test AI-powered investment data processing on Azure and confirm results before scaling. 👉 Available on the Microsoft Marketplace: https://lnkd.in/eNZ_Y67v #FinancialServices #InvestmentData #AIAgents #MicrosoftAzure #DataArt

In June, our Co-Founder and CEO, Eugene Goland, visited Ukraine and spent time with colleagues at the company’s R&D centers in Lviv and Kyiv. As part of the visit, Eugene hosted Q&A sessions where colleagues could connect directly, ask questions, and discuss the topics that matter most to them. The majority of questions focused on artificial intelligence, including its practical applications, future development, and the role it will play within the company. Eugene addressed every question and expressed his sincere appreciation and support for the Ukrainian team, recognizing their resilience, professionalism, and unwavering commitment in the face of the challenging and unpredictable realities of life in Ukraine.

𝗔𝘀 𝗔𝗜 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁, 𝗮 𝗻𝗲𝘄 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗶𝘀 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝗵𝗮𝗿𝗱𝗲𝗿 𝘁𝗼 𝗶𝗴𝗻𝗼𝗿𝗲: 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗺𝗮𝗸𝗶𝗻𝗴 𝗶𝗻𝘀𝗶𝗱𝗲 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝘀 𝘀𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘁𝗼 𝗸𝗲𝗲𝗽 𝘂𝗽. Engineering teams can now prototype and build much faster than before, but that speed only matters when organizations can evaluate opportunities, make decisions, and act on them quickly enough. In his latest article for Forbes Technology Council, our CTO Yuri Gubin shares why successful AI adoption depends on the ability to turn insight into action. 📰 Read the full article: https://lnkd.in/gsp_q9E8

𝗖𝗹𝗶𝗻𝗶𝗰𝗶𝗮𝗻𝘀 𝘀𝗽𝗲𝗻𝗱 𝗮 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁 𝗽𝗼𝗿𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲𝗶𝗿 𝘁𝗶𝗺𝗲 𝗼𝗻 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗱𝗲𝘀𝗽𝗶𝘁𝗲 𝘁𝗵𝗲𝗶𝗿 𝗳𝗼𝗰𝘂𝘀 𝗯𝗲𝗶𝗻𝗴 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗰𝗮𝗿𝗲. Administrative workload related to medical note-taking affects clinician capacity, reduces time with patients, and impacts care delivery efficiency. It remains a persistent operational challenge across healthcare systems, with AI offering a pathway to meaningful improvement. DataArt's 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗖𝗹𝗶𝗻𝗶𝗰𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗡𝗼𝘁𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 reduces documentation burden through AI-powered transcription built on Azure, designed to integrate into existing clinical workflows rather than operate as a standalone tool. 👉 Available on the Microsoft Marketplace: https://lnkd.in/eCrksh2t #HealthcareAI #ClinicalTranscription #MedicalNotes #MicrosoftAzure #DataArt