As public and private sector leaders develop data, cloud, and Artificial Intelligence (AI) / Machine Learning (ML) strategies, the need for a unified framework has never been more apparent. These strategies naturally overlap, presenting challenges spanning strategy development, implementation, continuous delivery, and operations.
Curated, tracked, and governed data served through cloud native infrastructure fuels impactful and high value AI/ML solutions. Organizations and their respective data, cloud, and AI divisions need to coalesce around a unified vision, strategy, and execution plan. Additionally, they must bring to bear rigorous engineering practices, coupled with a scientific approach to continuously deliver solutions that shorten the time to customer value (TTCV) and build a sustained competitive advantage.