Welcome to December 2024’s “Book of the Month” column. This month, we’re featuring “AI Governance Comprehensive: Tools, Vendors, Controls, and Regulations” by Sunil Soares, available for free download on the YourDataConnect (YDC) website.  This book offers readers a strong foundation in AI governance. While the emergence of generative AI (GenAI) has brought AI governance to the forefront of discussions, Sunil emphasizes the extensive nature of various other AI use cases…

Read more about author Alok Abhishek. In the AI era, organizations are eager to harness innovation and create value through high-quality, relevant data. Gartner, however, projects that 80% of data governance initiatives will fail by 2027. This statistic underscores the urgent need for robust data platforms and governance frameworks. A successful data strategy outlines best practices and establishes a clear vision for data architecture, ensuring data remains accessible, secure, and ready for advanced…

Read more about co-authors Prashanth Southekal, Varun Vemula, and Zain Raza Nayani. Extracting tangible business benefits from data and analytics projects, including those involving AI, has proven challenging for most enterprises. In 2019, VentureBeat reported that 87% of data and analytics (D&A) projects failed to reach production. In 2022, Gartner found that only 20% of insights derived from analytics translated into business outcomes. Despite various reasons for this low success…

Read more about author Todd Fisher. The rush is on to deploy chatbots. Chatbots rely on data to power their outputs; however, companies that prioritize data quantity over quality risk creating systems that produce unreliable, inappropriate, and simply incorrect responses. Success in this field depends on rigorous data standards and ongoing quality control rather than simply accumulating more training data. When It Comes to Data, More Is Good, but Good…