Ajay Vohora, CEO and Lester Waters, CTO of Io-Tahoe joined theCUBE's Dave Vellante to discuss Adaptive Data Governance, demonstrating how to automate the alignment of enterprise metadata with business ontology and governance polices that are fully sensitive to business context. #theCUBE #IoTahoe https://siliconangle.com/2020/12/10/automation-boosts-data-governance-for-financial-industry-through-combined-io-tahoe-and-oracle-solution-dataautomated/ Writing custom data rules One of the most significant pain points encountered by businesses is the growing need to meet standards for regulatory compliance. In today’s computer-driven world, data often sits at the heart of those standards and the penalties for non-compliance can be severe. In the medical field, the Health Insurance Portability and Accountability Act, or HIPAA, is the governing standard for sensitive patient data protection. In addition, states across the country are beginning to pass legislation, such as the California Consumer Privacy Act, or CCPA, which impacts the use of data collected on e-commerce sites and social media platforms. These and other regulations mean that businesses must stay on top of the data collected to avoid potential fines for non-compliance. “Within the Io-Tahoe platform, there are over 300 predefined policies, such as HIPAA and CCPA,” Zeimet explained. “One can choose which of these policies to run against the data. A service that Io-Tahoe provides is the ability to write custom data quality rules and understand how the data pertains to these rules.” What Zeimet described is a process known as Adaptive Data Governance. It’s not enough to simply find the data and know the rules. It’s about enabling the use of the data to be applied in specific situations, equipped with a high level of knowledge and understanding generated through artificial intelligence and machine learning. “Adaptive data governance is about achieving business outcomes through automation,” Waters said. “It’s important with the bulk of data that we deal with to pass through that data on a single pass and do the analytics that are needed.”