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Author: Apoorva
Generative AI: Another .com in the making?
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…
Could the Future of AI be Event Driven?
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…
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…