KSTEC Partners with Dataiku to Bring Enterprise AI to Businesses
The partnership will accelerate the growth of machine learning and data science in the region.
SEOUL - March 25, 2019 - KSTEC, a SW company handling big data, analytics, optimization, RPA solution and consulting services, today announced its partnership with New York-based Dataiku, one of the worlds leading Enterprise AI and machine learning platforms.
The KSTEC big data department is looking forward to paving the way for portfolio expansion about data analytics and AI. They said that KSTEC will be collaborating sooner or later with Korean Statistics Society, Korean Data Industry Association, Korean Operations and Management Science Society.
KSTEC will be reselling Dataiku in Korea through this partnership. Dataiku is the centralized data platform that moves businesses along their data journey from analytics at scale to Enterprise AI. By providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment, Dataiku is the catalyst for data-powered companies around the world.
Customers across retail, e-commerce, health care, finance, transportation, the public sector, manufacturing, pharmaceuticals, and more use Dataiku to power self-service analytics while also ensuring the operationalization of machine learning models in production. By removing roadblocks, Dataiku ensures more opportunity for business-impacting models and creative solutions, allowing teams to work faster and smarter.
Mr. Lee, CEO of KSTEC, said that “KSTEC started data business only from 2 years ago, but finished data analytics projects in local major pharmaceutical and confectionery industry very successfully”, and added “optimization and AI technical skills accumulated during the last 20 years was a key driver of success”.
He also added that “KSTEC is looking forward to skill-up of integrated data science through business partnership with Dataiku”, and “KSTEC will do the best for this year to be the first year to expand data science business.”