Generative AI is revolutionizing how organizations innovate and operate, creating new content, automating processes, and making decisions. Understanding its capabilities and limitations is crucial for Chief Data and Analytics Officers (CDAOs), Chief Data Officers (CDOs), data architects, and other stakeholders responsible for building data and AI infrastructure and ultimately AI-powered services that create business value.
In this whitepaper we will explore the data-centric security, privacy, and ROI risks and challenges affecting AI. We describe how Granica addresses them, thus enabling enterprises and technology companies to build a strong data foundation for trusted, impactful, and efficient AI.
