Dataiku’s Post

📣This just in: Dataiku is now officially a 3x Gartner® Magic Quadrant™ Leader! Shout out to our partners and friends at Databricks, AWS, Microsoft, and Google for helping make our vision of an infrastructure-independent AI platform come to life. With our innovative approach to enterprise-grade Generative AI (👋 hello, LLM Mesh!) and commitment to a people-first, collaborative approach, we believe Dataiku — the Universal AI Platform — provides an unmatched choice for organizations looking to power AI transformation at scale and also control AI operations. Be the first to check out the just-released 2024 Magic Quadrant™ for Data Science and Machine Learning Platforms and see why Gartner not only named us a Leader, but placed Dataiku the furthest on the “Completeness of Vision” axis: | https://bit.ly/45Agl4J | #DataScience #ML #ScalingAI

Air Canada estimates an opportunity cost of 96% improvement with Dataiku over their prior unscalable manual solution. 😱 With more than 200 campaigns or potential post-campaign analyses (PCAs) per year, it would have cost over $400,000 in average data scientist salary to produce all these insights as opposed to a fixed cost of ~$15,000 with the new automated PCA process. Read the full story to learn more about how Air Canada increased marketing effectiveness with Snowflake and Dataiku: https://bit.ly/3L3TepV

🏢 From manual scripts to seamless deployment pipelines — OHRA's data team transformed their approach to AI with Dataiku. Discover how they're meeting customer demands faster while ensuring fairness and compliance: | https://bit.ly/49v64rt | #ROAI

What's keeping CIOs up at night? 🤔 Our survey with Cognizant reveals surprising barriers in scaling #GenAI and modernizing #TechStacks. Learn about these major obstacles and the effective strategies you need to get ahead. 📘 Dive into the full report for exclusive insights and strategic solutions to unlock the full potential of GenAI: | https://bit.ly/3VOOgCh |

🌟 There was a time when we captured data on paper with pencils. Today, the #LifeSciences landscape is being transformed by #GenAI, accelerating drug development and refining precision medicine backed by modern data architectures such as a #DataMesh. Episode 4 of #AI&Us Season 2 takes you deep into this revolution in gene therapy and beyond, underscoring the crucial roles of stringent oversight and robust data integrity (check out the full video below!). 🎥 Tune in to see leading experts discuss AI’s pivotal role in enhancing treatment outcomes and reducing costs in the series: | https://bit.ly/3L4bWOe | 🚀

Want to see why Gartner® named Dataiku a Leader in the 2024 Magic Quadrant™ for Data Science and ML Platforms? Join us on July 17 for an action-packed webinar where the team that built our Gartner Magic Quadrant™ demo will take you behind the scenes to demonstrate how they developed and delivered an end-to-end data solution — including several #GenAI elements — in just three weeks. Plus, you’ll get to ask your burning questions to 5️⃣ Dataiku subject matter experts! Don’t miss out: | https://bit.ly/4bB5MQA | #ScalingAI #DSMLPlatforms

Julius Bär x Dataiku: Watch the Q&A with Marek Kochanek, Head of Data & Analytics at Julius Bär, at the Everyday AI Conference in Frankfurt to learn how Dataiku serves as a one-stop-shop for data science, enabling low- and no-code users to collaborate seamlessly. 🏦✨https://bit.ly/3VFmacy #Dataiku #EverydayAI #AIinBanking #ROAI

What’s your plan to achieve EU AI Act readiness❓Jacob Beswick, Director of AI #Governance Solutions at Dataiku, will share tips and key foundations of the #EUAIAct to keep in mind at tomorrow’s webinar, ”Key Pillars for Achieving EU AI Act Readiness.” ✅ Sign up today (if you haven’t already!): https://bit.ly/4cxaLmp

🚀 How do organizations stack up when it comes to #ModernAnalytics? We partnered with Cognizant to find out, surveying 200 senior IT leaders to reveal key insights into the current landscape of #GenAI, tech stacks, and data challenges. The findings highlight a significant gap between CIOs' aspirations and execution capabilities. 👨💻 While 70% have adopted GenAI, many face soaring costs that overshadow benefits, stressing the need for modernized analytics infrastructure and better cost management. 📝 This VentureBeat article highlights the key findings from our study on the adoption, challenges, and future trends of GenAI. Read now to stay ahead in the evolving landscape: | https://lnkd.in/djXv9QFC |

🔦 Spotlighting Joe DelPercio, Head of Data & Analytics and AI at Zeus: Under his leadership, Zeus and Dataiku demonstrate the power of teamwork in revolutionizing manufacturing analytics. Discover how collaboration fuels innovation: | https://bit.ly/4cTK1gO | #AIinManufacturing #ManufacturingEfficiency #ROAI 💡📈