3 Enterprise AI Trends To Watch For in 2025
Listen to the blog: 2024 has been quite a year for AI. As an enthusiast, several key developments caught my attention. For starters, the enterprise landscape saw a significant surge in AI adoption, escalating spending from $2.3 billion in 2023 to more than $13 billion in 2024, with nearly 65% of companies regularly using gen-AI […]
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, […]
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 […]
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 […]
Data Lake vs Data Warehouse: How to Choose the Right Solution in 2024
For folks new to data & analytics, it’s not uncommon to be confused between data warehouses and data lakes. Both are repositories to store large volumes of data, but they have distinct characteristics and core use cases. This article aims to educate you on data warehouses and data lakes, when large organizations use them, and […]
How are Huge Corporate Files Archived?
Large corporations accumulate massive amounts of data through direct collection from websites, apps, surveys, and POS systems and indirect collection from IoT devices, public sources, third-party providers, partnerships, and mergers and acquisitions. These datasets can be categorized into structured, unstructured, and semi-structured data, all meant to be dealt with differently. This often leads to redundant […]