Artificial Intelligence

TL;DR  Enterprises fail with agentic AI when they prioritize demos over defined business problems  Giving agents unrestricted access too early increases risk and slows trust  Poor data quality undermines intelligent agent performance  Without evaluation and feedback loops, AI systems stagnate  The fastest path to ROI is launching one measurable agent...

In the age of digital transformation, organizations are under increasing pressure to streamline operations, reduce manual workloads, and extract actionable insights from their data. Yet, for many businesses, a significant portion of critical information remains locked in paper documents, PDFs, emails, and other unstructured formats.   This...

Challenges faced by businesses in AI adoption Author: Varghese Chacko -Director of Technology TL;DR Many businesses struggle with AI adoption due to lack of skills, poor data quality, and unclear ROI expectations Integration challenges and infrastructure gaps often slow down enterprise AI initiatives Strong leadership support and governance are critical for...