Dataiku Announces a Single Control Center for AI Governance and New Tools for MLOps

Dataiku

PR93356

 

NEW YORK, Dec. 1, 2021 /PRNewswire=KYODO JBN/ --

 

-Designed for all stakeholders, Dataiku 10 empowers everyone from IT operations

and domain experts to data scientists and risk managers

 

Dataiku, the platform for Everyday AI (https://www.dataiku.com/), today

announced new AI governance and oversight as part of the company's unified AI

platform (https://www.dataiku.com/product/) 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. In addition, 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, Real Estate Pricing, with more

in the works.

 

With the rapid adoption of AI, AI governance has become a major pain point for

every industry as it was never designed to manage the copious amounts of data

we see today or the democratization of machine learning (ML). From CMOs to CFOs

data is crucial to any organization's ability to allow employees in all

departments to make impactful business decisions. However, without a modern

data governance strategy (https://pages.dataiku.com/ai-governance-capgemini)

today's organizations are opening themselves up to unnecessary risks.

 

"The new risk and value assessment capabilities in AI governance plans allow

businesses to assess and manage projects across multiple divisions, which now

brings together IT leaders, product managers, operations and more. These

departments have historically worked in silos, but data has made it imperative

to break down these silos," said Ritu Jyoti, group vice president, AI and

Automation Research at IDC. "As all industries have scaled usage of AI and ML,

it's no longer the sole domain of data scientists and IT managers, but a

requirement of the C-Suite and more to be able to access and understand. The

only way to make this happen is to have one simple language for how departments

manage MLOps creating a consistent framework and approach for every project."

 

"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," said Clément Stenac, CTO and

co-founder at Dataiku. "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."

 

Today's announcement is the most significant update to the Everyday AI

platform, focused on three core functionalities and themes:

 

1. MLOps - Safely scale with oversight for analytics and AI initiatives

 

Dataiku 10 introduces enhancements to its MLOps suite of tools to help IT

operators and data scientists evaluate, monitor and compare machine learning

models, whether under development or in production. Automatic drift analysis

and enhanced what-if simulations give teams better visibility into the behavior

and performance of live models.

 

2. Governance and Oversight

 

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.

 

3. Deliver value faster with business solutions and accelerators

 

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.

 

Additional Resources

 

-Get started with Dataiku 10 (https://www.dataiku.com/product/get-started/).

Start an online hosted trial, download the free edition, or compare the

features of the Lite, Team, and Enterprise editions.

-Register now

(https://events.dataiku.com/product-days-december-2021?promo=PR&tr=true) to

attend the Dataiku Product Days series this December 2, 9, and 16 and learn how

Deloitte, Snowflake and others are using Dataiku to enable Everyday AI across

their organizations.

 

About Dataiku

Dataiku

(https://events.dataiku.com/product-days-december-2021?promo=PR&tr=true) is the

platform for Everyday AI that allows companies to leverage one central solution

to design, deploy, govern, and manage AI and analytics applications. Since its

founding in 2013, the company has been the leader in democratizing data and

empowering organization-wide collaboration. Today, more than 450 companies

worldwide use Dataiku to integrate and streamline their use of data and AI,

driving diverse use cases from fraud detection and customer churn prevention,

to predictive maintenance and supply chain optimization. Stay connected with us

on our blog (https://blog.dataiku.com/), Twitter (@dataiku

(https://twitter.com/dataiku)) and on LinkedIn

(https://www.linkedin.com/company/dataiku/).

 

Source: Dataiku

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