Leveraging Institutional Knowledge to Improve AI Success

  In an age where organizations are seeking competitive advantages from new technologies, having high-quality knowledge readily available for use by both humans and AI solutions is an imperative. Organizations are making large investments in deploying AI. However, many are turning to knowledge and data management principles for support because their initial artificial intelligence (AI) implementations have not produced the ROI nor the impact that they expected. Indeed, effective AI solutions, much like other technologies, require quality inputs. AI needs data embedded with rich context derived from an organization’s institutional knowledge.