Vidhi is an award-winning AI/ML innovation leader who works at the intersection of data science, product and research teams to deliver business value and insights. She carries over a decade of experience enabling data-driven solutions, and is a leading expert in data governance with a vision to build trustworthy AI solutions.
April 6, 2026
Best Data Governance Tools for Enterprises: 2026 GuideFor years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from inconsistent data, and suddenly, governance…
As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…
March 30, 2026
Why AI Agent Governance is the Latest Priority for EnterprisesOver the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…
March 27, 2026
AI vs. BI: Differences, What Changed, and Why Semantics Became CriticalEnterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…
March 26, 2026
AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise DataAutonomous AI agents, which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management. It's no surprise that, as regulatory…
March 16, 2026
Using AI Agents for Data Analysis: How Autonomous Agents Are Changing AnalyticsFor a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…
November 29, 2022
How Semantic Layer Helps Scale up DataOpsThis blog is written by Vidhi Chugh, Staff Data Scientist at Walmart Global Tech. Vidhi is an award-winning AI/ML innovation leader who works at the intersection of data science, product and research teams to deliver business value and insights. She carries…
October 27, 2022
How To Improve Data Quality Using a Semantic LayerData quality is one of the most difficult — yet essential — elements for businesses to master to achieve their operational goals. This post explores multiple facets of data quality and explains how to turn fragmented, inaccurate, and unusable data…
October 11, 2022
How to Leverage Analytics Like a LeaderUsing data has become all the rage — there is hardly any organization that does not have a data and analytics team to understand their customer preferences better and gain a competitive advantage. As per a survey by Forrester, 63%…
September 22, 2022
Using the Semantic Layer for AI/ML Product DevelopmentThe influx of data has increased exponentially over the last decade. As illustrated below, data creation is expected to grow by 86% by 2025 due to an increased digital footprint during the pandemic. [caption id="attachment_20629" align="aligncenter" width="450"] Source: https://www.statista.com/statistics/871513/worldwide-data-created/[/caption] Many…