04 Feb, 2025

Governance Challenges in Modern Data Platforms

Modern enterprise business strategies have become increasingly data-driven. With evolving data needs, enterprises have moved on from traditional data architectures like data warehouses and disparate siloes to more unified platforms for data management, like third-generation data lakes and data lakehouses. However, with evolving architectures, enterprises also face challenges in effectively governing and managing their data […]

5 mins read

Agentic AI and Generative AI: Understanding the Difference

Our perception of AI has dramatically evolved over the last few decades. Where we once imagined AI as an all-powerful, terminator-like machine that could potentially go rogue, we now interact with intelligent systems that seamlessly integrate into our everyday lives. From Hollywood-fueled fantasies of sentient robots to the practical, versatile AI tools we use today, […]

4 mins read

Federated Data Governance for the Enterprise

Today, enterprises adopt AI and machine learning to derive insights from their datasets, and it becomes increasingly critical to focus on effectively governing them. As data regulations around the globe impose heavy penalties on non-compliance, modern enterprises must have adequate governance capabilities to prevent exposure. Large corporations have diverse data needs; with multiple application owners […]

4 mins read

Enterprise Data Services: Navigating the Data-Driven Future

Enterprises today create and consume data on an unprecedented scale. Behind the scenes, various enterprise data services enable, support, or enhance all the data operations performed. These services consist of multiple components that work together to manage, mine, and monetize the large volumes of data that enterprises hold. Understanding what these enterprise data services do […]

9 mins read