Operational Database Management Systems
This section contains dedicated contributions from ODBMS.ORG’s Panel of Experts.
Q1. Bill, in your recent writing, you’ve noted that “Agentic AI Governance Is Failing.” Standard governance models are built around predictable workflows where a human initiates an action and a machine processes it. When AI...
Q1. Your book (*) draws on case studies from four continents. What is the most profound lesson you both learned from these global examples regarding how regional infrastructure and cultural attitudes alter the way entrepreneurs...
Q1. Your book (*) focuses on moving beyond just training a model to the complete engineering process of “Deep Edge” AI. For an embedded developer who is completely new to machine learning, what is...
Q1. Giorgio, you describe (*) the KV cache on ADI as “fast enough to sit in the serving path.” Traditionally, storage has been too slow for this role, which is why the KV cache has...
Q1. Many organizations still judge AI coding and delivery tools by output: code generated, tickets closed, hours saved. A recent survey of 300 engineering leaders by Undo (*) found that 79% say release cycles...
Q1. For years, the enterprise data conversation was dominated by getting data into centralized stores — warehouses, lakes, lakehouses. You describe the current shift as the inverse challenge: organizations now need to get data...
Q1. Having served as the CIO for the City of Palo Alto, you have been at the epicenter of urban innovation and smart city development. As cities deploy increasingly pervasive IoT sensors, autonomous systems, and...
Q1. You and your co-editor I. Glenn Cohen brought together a genuinely international collection of legal experts spanning Asia, Europe, and the US, examining both major religious and secular ethical traditions alongside legal frameworks....
Q1. You moved from managing databases at a Belgian university to becoming a dedicated MySQL DBA, then to consulting at Pythian, and now to supporting large enterprise customers running MySQL at scale at PlanetScale....
Q1. At Kepler, your team focuses on “separating what AI does well from what code does well” to ensure absolute ground truth. In the context of financial services—where a misplaced decimal point can break a...