AI Trends in 2020 and Beyond

AI TRENDS TO WATCH IN 2020 AND BEYOND Al and ML have seen a rapid rise in the year that passed touching almost all different business verticals such as healthcare, agriculture, legal, manufacturing, automobile Queppelin to name a few. While there are several predictions and expectations from Al and related technologies, sharing top 20 predominant trends that will dominate Al. 01 Automated Machine Learning will become critical AutoML will help developers and business analysts to enhance machine learning models to cater to complicated scenarios without learning or getting trained on ML models. It is expected to give a lot of flexibility along with portability of custom data. 02 Edge Computing will unlock the combined power of loT and AI It is expected that advanced Machine Learning models that are grounded in neural networks will be perfect to run on edge. These can manage time series data, video frames, and ease of managing unstructured data generated from cameras, sensors and microphones. 03 The rise of Al-enabled chips Tech giants like Google, Facebook and Amazon will spend much on the research and development of these specialized chips. These chips will find applications in a number of industries that rely on Al applications to deliver intelligent solutions to their end users. 04 Al will automate DevOps through AIOps AlOps will allow you to apply Al to operations to revamp infrastructure management. When the Machine Learning and Artificial Intelligence concepts are applied to infrastructure management, it helps to perform a defined and truthful root cause analysis for the operations team. 05 loT meets AI loT will utilize much of Al capability. Industrial loT (IloT) will lead the scenario in its use of Al to perform detection, predictive analysis and report generation of equipment. 06 Voice-based customer interactions As voice becomes more useful for consumers, we'll see the volume of voice queries explode. Each of these queries represents a consumer intent, generally highly correlated with an action consumers want to take -add to my shopping cart, etc.-high value, transaction-oriented consumer intents. 07 Chatbots Will Master Human Interactions With constant algorithmic advancements and models wired with self- learning algorithms, the year 2020 would initiate natural conversations with chatbots. Businesses will be able to capitalize on the bot's human-like interactions by gaining maximum customer loyalty across borders and timezones. 08 Substantial Machine Learning Applications with TensorFlow The trajectory of TensorFlow-based applications is witnessing an </> upward graph since last year. Its agile architecture enables developers to practice ML models using their most preferred programming languages like Python, Javascript, and Swift. 09 Improve the employee experience (EX) In 2020, Al will dramatically improve the employee experience (EX). The ability to automatically and instantly collect data from across multiple channels, analyze it and provide actionable insight will enable support agents to more quickly, easily and accurately address customer inquiries and come to highly satisfactory issue resolution. 10 Al will be more accessible to non-technical SEOS. From Al automating meta descriptions, to automating titles or redirects, the technology will permeate day-to-day tasks that are normally time- consuming but necessary. Specialists should keep a pulse on the industry innovation and align more closely with the data science field whenever possible