Blog - AI & Machine Learning

The EU AI Act is often associated with large AI platforms, cloud models, or data-science companies. But the regulation reaches much further. Many embedded products already fall within its scope — sometimes without teams realizing it. If your device includes data-driven inference, predictive logic, or trained models, it may legally qualify as an AI system […]

Organizations that treat AI agents as privileged digital identities, implement context-aware controls, and design for resilience will lead safely in the agentic era. Security must evolve as quickly as autonomy.

In the previous article, we examined AI through the lens of John Maynard Keynes and the history of technological change. If we accept that automation does not eliminate work entirely but transforms its nature, a new business question emerges: What happens when technology evolves faster than new markets and roles can form?

Almost a century ago, John Maynard Keynes predicted that technological progress would eventually solve humanity’s problem of scarcity. Instead of working to survive, future generations, he believed, would work to fulfill themselves.

Commerce is entering a phase where software not just assists the buyer but can act on their behalf. This has become possible with AI shopping agents that are transforming the process of product discovery, comparison, and purchasing.

Artificial intelligence is no longer just about smart models answering single questions. In modern enterprises, AI is expected to plan, decide, act, and adapt. It must do this across many systems, teams, and channels. That expectation has pushed AI beyond the limits of the single-agent model. Multi-agent LLM orchestration is the answer. It allows many […]

Modern commerce is undergoing a quiet but profound transformation. From people actively shopping we are moving to software acting on behalf of people. And from obsessing over conversion optimization to delegated decision-making, where intelligent systems decide what to buy, when, from whom, and under which conditions. This blog post explores the question “What is agentic […]

Organisations can no longer rely on performance alone; they must be prepared to prove that their AI was trained on legitimate data, operates safely, respects privacy, and produces auditable outputs. Verifiable AI supplies this proof.

Picture a robot that can pick up a box on a conveyor belt. In a demo, the box is perfect: crisp edges, consistent weight, predictable lighting. In a real facility, the box is dented, the label is half-torn, the belt jitters, and a human steps into the workspace to clear a jam.