According to McKinsey, by building machine learning into processes, leading organizations are increasing process efficiency by 30% or more while also increasing revenues by 5%-10%. However, not all organizations are implementing AI and ML as successfully. High performing AI adopters build the critical foundations that allow them to govern and scale their practice for long term success.
During this roundtable, we will be looking into how to successful start, scale, and govern an AI practice:
Madhan Seduraman
Deputy VP OPEX CoE, AI & Automation
Prudential Assurance Company

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.
More information on www.dataiku.com