The global market for AI data management is projected to grow to $70B by 2026, driven by the increasing demand for AI solutions across industries. However, the success of AI initiatives depends largely on the quality and governance of data. Without high-quality, governed data, AI systems cannot function effectively, leading to unreliable outputs and potential ethical issues. This white paper explores the importance of data governance for AI initiatives, the challenges and opportunities in data management, and the strategic approaches and best practices for empowering AI with governed data. It also showcases the partnership between Paradigm Technology and Informatica, which provides organizations with the expertise and tools needed to harness the full potential of data for AI. By implementing robust data governance frameworks and leveraging advanced AI tools, organizations can ensure their AI projects are ethical, compliant, and effective, and achieve better outcomes and drive innovation.
Artificial intelligence is transforming industries by enabling organizations to make smarter, data-driven decisions and automate complex processes. However, the journey from AI pilot projects to full-scale production remains fraught with challenges. In fact, according to Gartner, only 54% make it over the threshold. One of the most significant obstacles is the management and governance of data. Data is the building block for AI, and without high-quality, governed data, AI systems cannot function effectively, leading to unreliable outputs and potential ethical issues. Governed data plays a critical role in AI initiatives – harnessing its power means achieving organizational AI goals.