Acceldata, the market leader in agentic data management, today announced AI Observability, a solution that brings observability for LLM and agentic AI applications to Acceldata’s xLake Data & AI ...
Innovent is the creator of FindTuner, a search optimization platform for eCommerce that helps organizations continuously ...
The Reserve Bank of India (RBI) has proposed a comprehensive data governance framework requiring banks, non-banking financial companies (NBFCs) and other regulated entities to strengthen data risk ...
Regulated entities (REs) such as commercial banks, co-operative banks and NBFCs will have to implement a data governance framework (DGF) proportionate to their size, complexity, business model and ...
China will make vehicle connectivity a mandatory part of its automotive safety framework, as Washington seeks to block Chinese cars using the technology over national security concerns. A national ...
The goal of our new reports: Help travel leaders determine how much time, resources, and focus to commit to new trends. The Skift Research Team is launching another new report format: The Skift ...
Identity lifecycle management was architected around a person with an employment record, a manager, and a departure date. AI agents have none of those. As autonomous principals proliferate across ...
The Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law was adopted on 17 May 2024 by the Committee of Ministers of the Council of Europe ...
Backed by major auto markets — the US, China, EU, Japan, Canada, and the UK support the framework, accelerating worldwide deployment. Accompanied by updates to existing UN vehicle regulations ...
Data governance is a system to define who within an organization has authority and control over data assets, and how those data assets may be used. It also encompasses the people, processes, and ...
China's digital economy has entered a stage in which data have become a key factor of production, an important strategic resource and a vital driver of innovation. Against this backdrop the release of ...
The first wave of enterprise AI concern was straightforward. It was simply employees pasting sensitive data into public AI tools. Security teams responded with usage policies, domain blocks, and data ...
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