Together, Dataiku and KPMG will modernize analytics, propelling enterprises toward AI Success.
Dataiku and KPMG LLP have partnered to modernize analytics and accelerate the adoption of AI technologies by enterprises. The collaboration leverages Dataiku’s comprehensive AI platform and KPMG’s experience in cloud migration, platform modernization, and AI Governance, to help data leaders securely and efficiently advance their AI strategies (including Generative AI).
As enterprises seek to drive innovation and improve optimization, outdated analytics systems, underused cloud commitments, and the need for trusted AI and stringent AI Governance present new challenges. Through this strategic alliance, Dataiku and KPMG will help clients streamline their data and AI infrastructures, and foster secure, compliant technology deployments to meet the needs of the evolving market.
“Enterprises that want to fully unlock the transformative potential of AI need to tackle comprehensive platform modernization, and integrate advanced analytics with cloud-native data architectures. Marrying KPMG’s experience in technology strategy, cloud migration and modernization, AI Governance, and business-ready solutions with Dataiku’s enterprise-ready platform to support data, machine learning, and Generative AI, will help our joint clients achieve their AI goals,” stated Dr. Sreekar Krishna, National Leader, Artificial Intelligence, KPMG US.
“Generative AI will continue to disrupt industries and put pressure on C-suite executives at enterprise companies to adopt solutions that not only enhance AI capabilities, but also prioritize data security and governance. Our alliance with KPMG not only addresses the technological needs of modern enterprises to meet their business goals, but also ensures that these advancements are implemented in a secure and compliant manner,” said David Tharp, SVP of Ecosystems and Alliances, Dataiku.
KPMG plans to incorporate Dataiku into its Digital Lighthouse service offerings and Modern Data Platform solution, with the goal of helping clients to be able to modernize Legacy Data and Analytics Systems. They will efficiently deploy data and AI workloads that fully leverage cloud investments and committed spend, reduce waste and boost financial performance.
