Active Hackathon

Dataiku Announces New Version For AI Governance And New Tools For MLOps

Dataiku 10 features a built-in suite of tools to help IT operators and data scientists automatically evaluate, monitor, and compare models under development or in production.

Everyday AI platform Dataiku recently announced new AI governance and oversight as part of the company’s unified AI platform to allow organizations to scale analytics and AI initiatives under one centralized control tower. Dataiku 10 features a built-in suite of tools to help IT operators and data scientists automatically evaluate, monitor, and compare models under development or in production.

Also added in Dataiku 10, organizations can deliver value faster with packaged industry solutions, dedicated workspaces for business users, and accelerators for exploratory data analysis, geospatial analytics, and computer vision. Examples of newly available Dataiku solutions across industries include market basket analysis, product recommendations, plant electricity and CO2 emission forecasting, and real estate pricing, with more in the works.


Sign up for your weekly dose of what's up in emerging technology.

“We’ve always believed that to scale AI, organizations need to enlist non-experts to the cause and bring more people into the fold to ensure project success. Dataiku 10 helps make that a reality. This latest version is focused on governance, MLOps, and industry solutions that increase involvement from AI-adjacent roles such as IT operators, risk managers, project managers, and domain experts,” said Clément Stenac, CTO and co-founder at Dataiku.

Dataiku 10 introduces enhancements to its MLOps suite of tools to help IT operators and data scientists evaluate, monitor, and compare ML models, whether under development or in production. Automatic drift analysis and enhanced what-if simulations give teams better visibility into the behaviour and performance of live models. 

AI Governance in Dataiku provides a dedicated watchtower in Dataiku where AI program and project leads, risk managers, and key stakeholders can systematically govern projects and models and oversee progress across the entire AI portfolio. Customers will be able to see all their models in a central model registry, regardless of whether they were developed natively in Dataiku or externally using tools like MLflow. Structured frameworks for project workflows, approvals, and project qualification provide superior AI oversight for enterprise customers. 

Organizations can accelerate speed to value by leveraging our off-the-shelf projects for various vertical use cases that customers can adapt and apply for their own purposes. Examples of advanced tools include new geospatial analytics, native deep learning capabilities, assisted data exploration, and enhanced visual interactive insights.

More Great AIM Stories

Victor Dey
Victor is an aspiring Data Scientist & is a Master of Science in Data Science & Big Data Analytics. He is a Researcher, a Data Science Influencer and also an Ex-University Football Player. A keen learner of new developments in Data Science and Artificial Intelligence, he is committed to growing the Data Science community.

Our Upcoming Events

Conference, in-person (Bangalore)
Cypher 2022
21-23rd Sep

Conference, in-person (Bangalore)
Machine Learning Developers Summit (MLDS) 2023
19-20th Jan

Conference, in-person (Bangalore)
Data Engineering Summit (DES) 2023
21st Apr, 2023

3 Ways to Join our Community

Discord Server

Stay Connected with a larger ecosystem of data science and ML Professionals

Telegram Channel

Discover special offers, top stories, upcoming events, and more.

Subscribe to our newsletter

Get the latest updates from AIM

Council Post: Enabling a Data-Driven culture within BFSI GCCs in India

Data is the key element across all the three tenets of engineering brilliance, customer-centricity and talent strategy and engagement and will continue to help us deliver on our transformation agenda. Our data-driven culture fosters continuous performance improvement to create differentiated experiences and enable growth.

Ouch, Cognizant

The company has reduced its full-year 2022 revenue growth guidance to 8.5% – 9.5% in constant currency from the 9-11% in the previous quarter