Along with cloud, advancements in AI have transformed the tech landscape and business outcomes. As AI continues to evolve, not only is the underlying data architecture critical to deriving value from AI solutions, but it also depends on the quality of the data. Securing and protecting data is fundamental to trustworthy data and a critical requirement for adopting AI.

Data security is the foundation of leveraging any digital technology in a responsible and enabling way. As companies begin incorporating AI into their operations, part of the adoption strategy should include access to data security and AI skills. Embracing the ecosystem, from adopting open technologies, to collaborating within and across the organization, to developing strategic partnerships, can help fill skills gaps.