- Gartner predicts that artificial intelligence implementation will move away from the pilot stage toward operationalisation at 75% of companies by 2024.
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As the use of data science, machine learning and AI in the enterprise space is gaining traction and entities are trying to make use of their data and get insights from it, US-headquartered Dataiku is aiming to bring agility and preparedness to the business through the use of data by everyone from analysts to data scientists.
The data science startup has raised $100 million in a “Series D” round led by Stripes and Tiger Global Management.
It has been doing AI/ML work for over a decade, using a collaborative, cross-departmental approach to help their more than 300 customers integrate AI throughout their operations and offerings.
Untapped potential
Florian Douetteau, co-founder and CEO of Dataiku, said that its leadership in enterprise AI continues to attract world-class investors and they are positioned to help businesses realise the untapped potential for AI to transform the enterprise.
Gartner predicts that artificial intelligence implementation will move away from the pilot stage toward operationalisation at 75% of companies by 2024, which means that the next four years will see a five-fold increase in streaming data and analytics infrastructures adoption.
“In a global business market rocked by the changes 2020 has brought, AI has proven to be a critical element of organizational success driving business growth in every major vertical market,” he said.
Dataiku was founded in 2013 by Douetteau and three fellow Frenchmen – Marc Batty, Clement Stenac and Thomas Cabrol.
The progression of AI in the enterprise has moved rapidly from experimentation to real-life implementations at scale in 2020, Ron Shah, Partner at Stripes and added that Dataiku is at the forefront of that shift with the most comprehensive, secure and enterprise ready product.
“What we’ve seen in Dataiku is not only a commitment to developing future-proof technology for customers ranging across nearly every major industry and geography, but perhaps more importantly, a team of dedicated professionals and global organisation working to ensure trust, safety and resilience through machine learning,” Paul Melchiorre, Operating Partner at Stripes, said.