Operationalization With Dataiku
Deploy machine learning models in production seamlessly with Dataiku's robust operationalization features.
Learn MoreWho is Wipro:
Wipro Limited is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, a strong commitment to sustainability and good corporate citizenship, we have over 160,000 dedicated employees serving clients across six continents.
Wipro’s deep domain expertise and experience in implementing transformative projects complement the capabilities of Dataiku’s platform. The partnership helps organizations roll out their enterprise AI/ML offerings, and be one step closer to transforming into intelligent enterprises.
Dataiku & Wipro Partnership:
“The partnership between Dataiku and Wipro will help enterprises scale up and transform their AI and insights initiatives on the path to an Intelligent Enterprise. Wipro’s deep domain experience and years of implementing insights transformation initiatives coupled with Dataiku’s platform will allow businesses to seamlessly roll out their enterprise A/ML offerings in their data to decisions journey.” – Kunal Tarakhia, General Manager, Head of Decision Science & AI Practice, DAAI, Wipro
Value Proposition:
Wipro’s Intelligent Enterprise Solutions are fast transforming customers to become data-driven future-ready organizations augmenting core capabilities for data, platform, and insights. Different users across the organization are enabled with an agile and collaborative environment for AI project acceleration, scalability, and governance.
We give our customers a perpetual insight of AI processes which has a positive effect on revenue streams with security, quality, and regulatory data compliance. Wipro’s capability is underpinned by technologies such as the Dataiku DSS studio and Snowflake cloud, data management harnessing multiple internal and external data sources to the same work platform where clickers, coders, and business decision-makers collaborate for speed and accuracy. Our clients’ decision making is enhanced with augmented intelligence and process automation driving enterprise AI projects with more ease and transparency.
Wipro, Dataiku & Snowflake
“The partnership between Dataiku and Snowflake will change the way enterprises look at their data and insights transformation initiatives. Wipro’s deep domain expertise and years of experience in implementing transformative projects complement this partnership. Businesses will now be able to seamlessly roll out their enterprise AI/ML offerings on a highly scalable data infrastructure in their data-to-decisions journey, and be on step closer to transforming into intelligent enterprises.” – Jayant Prabhu, Vice President and Global Head, DAAI, Wipro
Learn everything you ever wanted to know about Dataiku (but were afraid to ask), including detailed specifications on features and integrations.
Get the Data SheetDeploy machine learning models in production seamlessly with Dataiku's robust operationalization features.
Learn MoreDataiku and Snowflake are complementary solutions that combine Snowflake’s highly scalable computational power and processing flexibility with Dataiku’s machine learning and model management capabilities.
Lern MoreLearn more about how Dataiku is designed for data teams from the ground up.
Learn MoreWatch the on-demand demo video to get an overview of all of Dataiku's features - from raw data to deployment production - in less than 15 minutes.
Watch NowA composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.