Posted on

Singapore, @mcgallen #microwireinfo, November 7, 2017 – Dataiku Inc., the software developer behind the predictive analytics software platform, Data Science Studio (DSS), has today announced its intention to accelerate the expansion in Asia Pacific. This move comes in support of more customers in Asia Pacific, such as Samsung and Hyundai Steel in Korea, and the adoption of academic licenses by top universities such as National University of Singapore (NUS) in Singapore.

Dataiku comes at a time when there is an incredible growing demand to maximize in-house data production and analysis. As reflected by their growth and profitability since their founding, Dataiku has anticipated this demand with their unique enterprise platform designed for the increased productivity and collaboration of data scientists, programmers, and analysts within and across organizations. Its flagship product, Dataiku DSS, which provides end-to-end solution for developing and deploying predictive analytics solutions with speed and precision, is experiencing accelerated adoption in Europe, US and Asia Pacific.

To accelerate its expansion and support customers in Asia Pacific, Dataiku has appointed its regional lead, Albert Antoine, a veteran AI and data scientist based in Singapore. Antoine has extensive experience in Asia Pacific, having started the operations of business optimization software leader ILOG in Asia Pacific in January 1989 and led it for 17 years. Antoine has a masters in robotic and artificial intelligence from the International Institute of Artificial Intelligence of Marseille, France, as well as a masters of business administration (MBA) in strategic management and management of technology from the Massachusetts Institute of Technology, Sloan School of Management.

“Organizations in Asia Pacific are rapidly building up their complex data analyzing and relationship predicting capabilities. With Antoine at the helm, I am confident that he and his team will provide excellent support to our current customers, while strengthening Dataiku’s presence and partnerships in this region,” said Florian Douetteau, CEO and co-founder of Dataiku.

“I am privileged to work with Dataiku and Florian’s exceedingly brilliant team of researchers and technologists. The capabilities of Dataiku’s solutions will find tremendous traction in many organizations, especially in governments, critical infrastructures, utilities, tertiary institutions, software enterprises, and so on. I look forward to growing the Dataiku presence in Asia Pacific, starting in Singapore where I called home for the last 26 years,” says Antoine, Senior Vice President, Asia Pacific, Dataiku.

Founded in Europe in 2013, the start-up has grown into a global brand synonymous with driving innovation through cutting-edge data science and machine learning technologies. The Dataiku platform combines these technologies with collaborative features that allow anyone in an organization to contribute to the data science production process. By effectively ‘democratizing data science’ it enables each team member, from coders to analysts, to contribute to the data production and analysis process using the tools they know best. It addresses the shortage of people with technical, data science capabilities by enabling technical data scientists to work alongside data analysts to build and deploy models into productions, creating meaningful analysis out of data, within a short time. What used to take days, now takes only hours.

“Our driving philosophy at Dataiku is the idea that everyone should be able to contribute or gather insight from data science,” said Florian Douetteau, CEO of Dataiku. “We adhere to this because, in today’s world, we know that the most competitive data-driven organizations are the ones that make the most of all of their data, and the most effective way to do this is to empower people to use the tools they know best. This is why we strive to deliver the best possible platform for collaboration that also combines the most advanced data science and machine learning technologies.”

Today, hundreds of companies around the world, from Fortune 500s to SMBs, including L’Oreal, Kuka, Samsung, Hyundai Steel and many others, use Dataiku on a daily basis to create, build, and run predictive applications that leverage data to address challenges and improve processes, sales and marketing functions.

“A vital part of helping everyone, everywhere with their data analysis and data modeling skills is to provide free licenses of our software and specific support resources for academics, researchers, and personal learning to help the next generation of data scientists learn, create, and succeed.” added Florian Douetteau, CEO and co-founder of Dataiku.

The Dataiku Academic Program, is an initiative launched in May 2017, to provide completely free licensing, support, and learning resources for teachers, researchers, and students in data science and business analytics fields.

NUS Business Analytics Centre (BAC) and Dataiku are exploring the collaboration in Artificial Intelligence (AI) area. Both parties will work together to provide the world-class AI education and research opportunity to the students in NUS Master of Science in Business Analytics (MSBA) programme.

To learn more visit:

Here is a video of the media lunch in Singapore:

About Dataiku
Dataiku develops Dataiku Data Science Studio, the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, users can easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows. Hundreds of customers in industries ranging from e-commerce, to industrial factories, to finance, to insurance, to healthcare, and pharmaceuticals use DSS on a daily basis to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more. Visit: