Dataiku

📣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

AI leaders are all-in on #GenAI, are you? 💡 In collaboration with Databricks we surveyed 400 senior AI professionals and found that 90% are already investing in GenAI — whether through IT, data science, or new dedicated budgets. 📊 It’s clear: GenAI isn’t just a trend, it’s becoming the new industry standard as organizations move from pilot projects to full-scale integration. 🚀 Discover how your organization can stay ahead of the curve with the latest insights, spending patterns, and winning strategies in our infographic: | https://bit.ly/3ZTaZRx |

According to a Dataiku and Cognizant survey of 200 analytics and IT leaders, 70% of respondents are using Generative AI and LLMs. What is the key to safe #GenAI scaling? How can IT leaders protect sensitive data, control costs, and create future-proof solutions that won't need to be re-architected every time a newer generation of models emerges? 🤔 The answer is the Dataiku LLM Mesh, which provides a scalable framework for efficiently building safe, secure, GenAI-powered applications while addressing IT concerns related to cost, compliance, and technological dependencies. Want to find out more about Dataiku and the LLM Mesh? You're in luck: We were recently named a Leader for the third year in the 2024 Gartner® Magic Quadrant™ for Data Science and ML Platforms. Check out the full report for why we believe, with Dataiku, IT teams don't need to choose between enabling transformation and ensuring control: | https://bit.ly/3A03SMr |

💡Clinical Site Intelligence, explained in this quick clip, is just one of the many cutting-edge healthcare solutions from Dataiku! 🤖💊💉 Whether you're looking to streamline operations, enhance patient care, or unlock other powerful insights, we’ve got the tools to help you optimize every step. 🧠 Learn more: https://bit.ly/3YnzgOy #AIinHealthcare #LifeSciencesAI #HealthcareInnovation

Curious about how top cybersecurity firms, like Palo Alto Networks, drive innovation with AI? At our recent Everyday AI Summit in San Francisco, Palo Alto Networks presented their use of AI in enhancing their support and marketing strategies. With Dataiku and our #Explainability features, they have been developing 3️⃣ key use cases — #CustomerRetention, #EscalationManagement, and #ContentGeneration. Explore the full story 👉 | https://bit.ly/4gNY4q5 |

EXCLUSIVE, EARLY ACCESS 👀 CIOs & IT leaders: Want to go from monolithic to modular? Want to raise your organization's complexity threshold for #LLM apps? Chapter 2 of our technical guide published by O'Reilly unpacks the LLM Mesh architecture to help you do both. Standardize, abstract, and accelerate GenAI development with the objects of an LLM Mesh: | https://bit.ly/403SpGe |

Struggling with #GenAI outputs? Your #DataQuality might be the reason. In the age of GenAI, poor data quality can lead to biased models, flawed decisions, and even compliance issues. But there are clear ways to improve it. 👉 5 ways to boost your data quality: 1️⃣ Don’t overcomplicate — focus on "good enough" data. 2️⃣ Make data quality a shared responsibility across teams. 3️⃣ Embed data quality into every analytics and #AI project. 4️⃣ Understand how data quality requirements for GenAI differ from traditional AI approaches. 5️⃣ Integrate data quality into larger #Governance efforts for consistent, reliable AI. Don’t let poor data hold back your AI efforts — discover how to safeguard your AI initiatives from risk: | https://bit.ly/3XJgpvD |

💥 Closing out Dataiku #ProductDays with a bang! 💥 Here’s your recap of the final day of the event: 🔹We kicked off with an in-depth look at LLM-powered architectures for the enterprise. 🔹Rio Tinto showcased how they empower citizen data scientists with real-time monitoring dashboards. 🔹We explored operational efficiency in the energy sector using AWS Bedrock & Dataiku. 🔹We learned how to accelerate data prep with #AIAssistants. 🔹We dispelled myths about #AutoML and explained how to keep control with Dataiku. 🔹And... 🥁 we wrapped up with the announcement of the Frontrunner Awards winners! Congratulations to all of our Frontrunner Awards winners, finalists, and Founder's Vision distinctions and thank you to all our Product Days attendees and participants 🙏 Enjoy this little video highlighting some key speakers of the four-day event, including Enza Iannopollo, Fabrice Ciais, Andrew P. Charland, and Kurt Muehmel. We hope to see you soon at another Dataiku event! Check out the full calendar here ➡️ https://bit.ly/4h5M6bf

Curious about building #AIAgents powered by #LLMs? Check out this technical blog post on open-source frameworks for LLM-powered agents! From LangGraph’s fine-tuned control over agent behavior to CrewAI’s multi-agent collaboration, there’s a framework for every use case. This post explores LangGraph, LlamaIndex, AutoGen, and CrewAI, highlighting their capabilities for tasks like retrieval-augmented pipelines, multi-agent systems, and natural language directives. Whether you’re scaling your LLM applications or looking for human-in-the-loop interactions, these frameworks are the building blocks of cutting-edge AI systems. 🔧🤖 Check it out here: | https://bit.ly/3XNCEkd | #GenAI #OpenSource