Author: Apoorva

In the ever-evolving data landscape, the humble data catalog is no longer just a digital filing cabinet. It’s transforming into an intelligent, conversational partner, powered by the twin engines of Generative AI and Natural Language Processing (NLP). Gone are the days when business users had to dig through cryptically labelled data assets or learn SQL to find what they needed. Today’s smartest catalogs can talk back, make suggestions, and even learn as they go. Welcome to the era of AI-native data catalogs – where data isn’t just stored, it’s contextualised, connected, and, crucially, made discoverable in plain English. From Metadata to Meaning: GenAI Turns Catalogs…

The 1990s saw the emergence of the World Wide Web (WWW), still informally called the ‘Internet’. This technology revolutionised humanity by providing newer, cheaper means of communication, enabling real-time news reporting, and enabling the financial sector access to data critical for decision-making. However, while the decade opened on a high point because of the benefits offered by the Internet, it closed on a low note because of the .com bubble. What is a bubble? A bubble is the price of specific company shares hitting unreasonably high values when compared to the shares’ base value. This may be done by artificially…

Automation has come a long way since the early RPA bots quietly started replacing repetitive tasks behind the scenes. But as we look toward the future of business process management (BPM), the big question is no longer whether we can automate, but rather is whether we can orchestrate autonomously. Despite waves of investment in digital workflows, AI, and intelligent automation platforms, most organizations still operate in silos, with bots, rules engines, and workflows disconnected from a unified intelligence layer. The march toward autonomous process orchestration is happening, just slowly, and not without growing pains. Are We Really Moving Toward Autonomous…

AI is evolving, not just in intelligence, but in how it listens, responds, and acts. As enterprises build increasingly autonomous, multi-agent systems, the question isn’t just how powerful AI models can be. It’s how responsive they are. That brings us to a pivotal shift: moving from static, API-bound workflows to event-driven architectures that prioritize real-time signals. In an AI-first world, agility is foundational, and event-driven systems may hold the key to unlocking autonomous intelligence at scale. How Event-Driven Architectures Help AI Agents Break Free Traditional AI operates on request-based models. An API call is made, a response generated, and the…

Once upon a time, employee experience meant open-plan offices and perks. Today, in 2025, it means something radically different – a seamless, smart, and frictionless Digital Employee Experience (DEX). Whether at home, in-office, or hybrid, employees expect work environments that are as responsive and intuitive as the apps they use in their personal lives. DEX is no longer a perk, but rather a strategic necessity – and the frontline of productivity, retention, and digital agility! The Critical Components of a DEX Strategy in Today’s Times A future-ready DEX strategy goes beyond handing out collaboration tools. It starts with designing every…

There was a time when Business Intelligence (BI) was all about static dashboards, drill-down charts, and canned reports. We called it data-driven decision-making, but in truth, it was decision support at best. In 2025, that simply doesn’t cut it. Today, analytics is less about rearview reporting and more about foresight. The very foundation of BI is shifting, toward autonomous systems, context-aware insights, and generative storytelling. We’re not just visualizing data anymore; we’re rather conversing with it. This evolution is being powered by three transformative forces: Generative BI: The End of Static Dashboards? Generative BI is the rising star of the…

There was a time when task mining meant one thing – screen capture and activity logs. But that era is quickly fading. In today’s tech-driven workplace, task mining is evolving from a passive data collector to an intelligent enabler of optimising systems. We’re witnessing the transformation of task mining from a tool used to identify inefficiencies to one that can recommend, and even autonomously implement, improvements. For enterprises, the implications are massive. Productivity no longer needs to rely solely on manual audits or operational guesses. With the right approach, task mining can now help build the blueprint for autonomous optimisation…

In an age where data is currency and speed is strategy, the idea of a data fabric – an integrated architecture that seamlessly connects data across platforms and environments, has gone from buzzword to boardroom priority. As organizations race to modernize data infrastructure, the stakes rise – agility still must not compromise governance, and automation must not eclipse accountability. As we stand on the edge of a hyperconnected future powered by AI, edge computing, and 5G, the data fabric becomes the neural network of intelligent enterprises. But building this smarter fabric demands more than technology; it requires careful calibration of…

From Workflow Execution to Autonomous Intelligence There was a time when automation was largely synonymous with logic trees, ‘if-then’ rules, and systems that did exactly what they were told, nothing more, nothing less. In today’s enterprise landscape, however, that’s no longer enough. Businesses are now looking for digital systems that can understand goals, respond to context, and make decisions with a level of autonomy once thought to be impossible. Welcome to the era of Agentic AI – and with it, the beginning of a bold new chapter in Intelligent Process Orchestration (IPO). The Rise of Agentic Orchestration In 2025, IPO…