Dataiku strives to bring large-scale adoption of analytics at scale to all enterprises through both self-service analytics and operationalization. That happens through enabling everyone across the enterprise - this video breaks down the features available in Dataiku for each member of the team.
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.
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.
Dataiku strives to bring large-scale adoption of analytics at scale to all enterprises through both self-service analytics and operationalization. In our experience with companies around the world, this approach is the difference that brings business-impacting change; mass adoption is more powerful than early adoption of specific new technologies.
Dataiku provides the technology that allows companies to:
Dive in and get moving quickly on analytics, data science, machine learning, and AI at scale to stay competitive and overcome the fear of waiting for the right moment or right technology.
Effectively navigate and adapt to the perpetual stream of new technologies, allowing them to work with data efficiently at scale.
Move quickly and iterate along the way, emphasizing and enabling putting good models in production (which is worth ten perfect models in the sandbox).