Enterprises spent the last cycle chasing model benchmarks, yet the most successful teams quietly shifted focus to the one lever that consistently moves real outcomes: engineering the context that models use to think, decide, and act in the flow of work. This roundup gathers perspectives from CIOs,
Allow me to introduce Anand Naidu, a seasoned development expert with a wealth of knowledge in both frontend and backend technologies. With a deep understanding of various coding languages, Anand brings a unique perspective to the rapidly evolving world of AI-native databases and the agentic era.
In an era where enterprise IT environments face relentless pressure to adapt to rapid technological shifts, consider the staggering reality that over 90% of Fortune 500 companies rely on Linux-based systems for their critical operations, with Red Hat Enterprise Linux (RHEL) standing at the heart of
In the fast-paced realm of technology, few events capture attention like the announcement of a multi-billion-dollar partnership between industry giants, promising to reshape the future of innovation through groundbreaking advancements. The recent $38 billion, seven-year agreement between Amazon Web
Introduction In the early days of generative AI, a small team of developers at a tech startup stumbled upon a novel way to solve complex coding problems by using AI tools to produce creative solutions in mere minutes, a practice dubbed "vibe coding." This informal, experimental approach often led
Setting the Stage for a Data-Driven Showdown In today's fast-paced enterprise landscape, where unstructured data accounts for a staggering 80-90% of all business information, the ability to extract actionable insights from complex documents has become a critical competitive advantage for companies
