AI to Become More Accurate in 2019 and Fuel Robotics Automation

AI to Become More Accurate in 2019 and Fuel Robotics Automation

Authored by Mr. Jagat Pal, CTO, Cybage

The year 2019 will be dominated by Machine Learning (ML) and Artificial Intelligence (AI). I am not skipping Internet of Things (IoT) and Robotic Process Automation (RPA) here, as they will be propelled largely by ML and AI advancements. Although Supervised Learning has been the backbone of ML, data scientists have managed to implement Segmentation and Unsupervised Learning with high velocity and volumes of unstructured data. Couple this with the advancement in computation capability, and you will find self-learning and deep learning feasible at a reasonable cost today. All of this is helping AI to become more accurate, which in turn fuels RPA to become an intelligent one. Another technology that's disrupting business is blockchain—especially in industries where tracking is important—for instance, in supply chain to prevent loss, adulteration, and counterfeit products.

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