Krina Kumbhani

Agentic AI represents a new phase of workplace automation. Instead of waiting for commands, these systems take initiative, manage workflows, and pursue goals—helping teams reduce busywork, scale output, and collaborate more effectively without losing human oversight.

AI models have evolved from simple rule-based systems to powerful learning engines. This article explores the past, present, and future of AI model types—and why understanding their evolution helps businesses, developers, and users prepare for what’s next.

AI has mastered patterns—but reasoning is harder. This article explores how mathematicians are teaching machines to think step by step, bringing logic, structure, and trust to the next generation of artificial intelligence.

As AI systems compete for attention, speed, and market share, truth can quietly become negotiable. This article explores how incentives shape AI behavior, why misinformation becomes a risk, and why trust—not speed—will decide which systems endure.

As AI becomes more embedded in daily life, its ability to understand Indic languages is critical for digital inclusion. From translation and voice support to regional content creation, this article examines how far AI has come—and where it still needs to grow.

Cybersecurity in 2026 will be less about isolated breaches and more about how organizations adapt to constant risk. As AI-driven attacks grow, identity replaces the perimeter, and regulations tighten, the focus shifts from prevention alone to resilience, trust, and leadership responsibility.