AI agents are about to move from hype to reality, and for many businesses, that shift will be uncomfortable. In 2026, autonomous digital workers will start making decisions, triggering actions and reshaping how work gets done across entire organizations. The promise is enormous, from dramatic efficiency gains to entirely new

The Pre-training Paradox: Knowledge vs. Intelligence Pre-training on internet text delivered the current generation of AI systems, but this approach faces fundamental limits that no amount of scaling will overcome. The problem isn’t simply running out of data, though that constraint is real. The deeper issue is understanding what pre-training

In today’s financial landscape, AI in banking has transcended buzzword status to become a non-negotiable pillar of strategic operations. It is the engine powering a fundamental shift from intuition-based decisions to data-driven precision, directly impacting a bank’s survival, regulatory compliance, and growth. This isn’t about a vague, magical solution; it’s about deploying

In the world of Reinforcement Learning (RL), we often start with a simple picture: an agent interacts with an environment. The agent takes an action, the environment responds with a new observation and a reward, and this loop repeats. The agent’s goal is to learn a strategy that maximizes its total reward over

By 2026, artificial intelligence (AI) will no longer sit on the fringes of healthcare innovation. What began as isolated pilot projects, largely limited to radiology imaging, billing automation and experimental chatbots, has evolved into a foundational layer across the entire healthcare value chain. Between 2018 and 2021, AI adoption in