As already alluded to, one of the main uses for HDLs is backtesting, a cornerstone of financial strategy development. With ...

high-quality insights from this data is dependent on effective data governance. Implementing data governance is critical, but like all data initiatives, it requires internal adoption and ...

Data Governance - Use AI instead of a team of people for: ...

There is always the need for computing to be more available and distributed, especially given the data volume generated from ...

Smart Data Lake Builder is a data lake automation framework that makes loading and transforming data a breeze. It is implemented in Scala and builds on top of open-source big data technologies like ...

In my discussions with CIOs over the last several years, they have repeatedly told me that they strongly dislike traditional data governance. And asked at times, could they just be data custodians.

Devin Redmond, Co-Founder & CEO, Theta Lake SANTA BARBARA ... Act (HIPAA), and General Data Protection Regulation (GDPR). In addition, they must adhere to corporate governance guidelines, such ...

The conversational capabilities of large language models (LLMs) are reshaping business workflows, from customer support and knowledge management to advanced analytics and decision making. However, ...

VB Lab Insights This is a VB Lab Insights article presented by Capital One. AI offers transformative potential, but unlocking its value requires strong data management. AI builds on a solid data ...