From the mundane to breathtaking, AI is disrupting virtually every business process in all sectors. People are ceasing to associate Artificial Intelligence with science-fiction dystopias as Artificial Intelligence (AI) is taking more commonplace in our daily lives. While such acceptance in mainstream society is a new phenomenon, it is not a new concept in business. Today, AI has become imperative to maintain a competitive edge. This guide will help business owners who are serious about maintaining a competitive edge in their business sector by adopting AI.

"The human language, as precise as it is with its thousands of words, can still be so wonderfully vague." Human language is unique and complex. Encoding human language is considered a difficult task. For starters, you can arrange words in infinite ways to form a sentence. Also, each word can have several meanings.

AI is not just a technology; it has become part of daily lives. We can access many points with AI now more than we could ever before. From the research that we do on the internet to the goods that come to our doors, AI is directing our lives and business. It has solved many problems faced by humanity. And, revolutionized technology in all industries. Coined at Dartmouth College in 1956, Artificial Intelligence (AI) gave succeeding generations a potential for information technology that can benefit humans in a profound way.

AI in the mining industry can help increase productivity, reduce industrial waste, and enhance machine reliability!

The pandemic is now the biggest and most critical challenge of traditional banking. Some of these challenges are revenue pressure, data security, customer service management, data collection and analysis, risk management, and so on. These are the warning lights and alarm bells that call for caution over emerging risks. AI (Artificial Intelligence) has gained recognition as an effective solution. AI is empowering the banking industry to provide individualized frictionless customer experiences.

RL algorithms can be used to solve tasks where automation is required. However actual implementation is easier said than done. You can ease your pain by using TF-Agents, a flexible library for TensorFlow to build reinforcement learning models. TF-Agents makes it easy to use reinforced learning for TensorFlow. TF-Agents enables newbies to learn RL using Colabs, documentation, and examples as well as researchers who want to build new RL algorithms.