TriggerMesh Aims to Orchestrate Serverless Computing on Kubernetes

When we talk about cognitive computing, we are referring to a set of technologies designed to mimic the way the human brain works. They work a little differently from “narrow” AI. Put simply, (narrow) AI can solve problems that humans set for it, but the system has no inherent “intelligence”. This is not to diminishes the impact of AI, which has unquestionably been put to use in great ways. Take for example the AI algorithms that are increasingly diagnosing illnesses more effectively and faster than human doctors can. The same system that can diagnose cancer, can’t do other tasks. By contrast, the technologies behind cognitive computing are known as artificial general intelligence. The goal of these algorithms is to be able to make sense of complex situations, to interpret vague, incomplete or conflicting data, to learn from past experience and to apply that understanding to future scenarios.Cognitive services are a big growth area. Valued at USD 4.1 billion in 2019, the market is predicted to grow at a CAGR of around 36 percent (Mordor Intelligence). Enterprises are using cognitive services to improve insights and user experience and to increase operational efficiencies through process optimization. Cognitive services are set to be a significant competitive differentiator. They will enable those organizations that successfully leverage cognitive to be streets ahead of the competition when it comes to understanding and improving customer experience.