Your AI Fantasy Can Now Be Your AI Reality
Check out the Dataiku Digest each month to get caught up with the latest knowledge and news you need in order to elevate your data and analytics projects and make strategic decisions around AI innovation with confidence.?
Making Everyday AI a Reality in the Age of Generative AI ??
Undoubtedly, Generative AI presents numerous opportunities. However, realizing its potential requires a solid grasp of the fundamentals. This talk from the Everyday AI New York conference explores the groundwork for Everyday AI which encompasses democratization, acceleration, and trust.
From Chatbots to Agents: Augmenting LLMs With Tools ???
Learn how Large Language Models (LLMs) tackle challenges like limited knowledge and poor task performance. Explore more about the transformation of LLMs into agents that enable real-world interactions with external tools in this blog.
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Aviva: Uniting Data Analysts and Auditors With Process Mining ??
Aviva leverages Dataiku to enhance process analytics, fostering collaboration between data analysts and auditors. The data analytics team's partnership with Dataiku propels efficiency, elevating auditing processes at Aviva to new heights. Learn more in the full customer story.?
The Dynamic Duo: Shaping Generative AI With Tech-Agnostic Platforms and Governance ??
How does Dataiku make developing LLMs easier, ensure seamless governance, and future-proof against tech debt? One hint: From data access to fine-tuning, the LLM Mesh revolutionizes true transparency and fosters collaboration between IT, data scientists, and business users.?
"Dataiku is a very important, if not the backbone, of this data mesh infrastructure. Dataiku is integrated with our data governance tool and data fabric tools to create a very cohesive environment that allows us to virtualize, stitch, curate, and provision the data to the end consumers. Moreso, the environment allows us to use the same platform to give our end users the ability to search, discover, request, and get access to the data. So the environment is a win-win for the business users and technology. You basically have Dataops, Devops, and MLOps working together in the same environment.”?- Linda Lillard, Managing Director, BNY Mellon