Artificial Intelligence and Data Science is a new branch of study that deals with scientific methodologies, processes, and techniques drawn from different domains like statistics, cognitive science, and computing and information science to extract knowledge from structured data and unstructured data. This knowledge is applied in making various intelligent decisions in business applications. It is a specialised branch that deals with the development of data-driven solutions, data visualization tools and techniques to analyse big data. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real-world problems.
While its early forms enabled computers to play games like checkers against humans, AI is now part of our daily lives. We have AI solutions for quality control, video analytics, speech-to-text, and autonomous driving, as well as solutions in healthcare, manufacturing financial services, and entertainment. Artificial intelligence can be a very powerful tool for both large corporations generating significant data and small organizations that need to process their calls with customers more effectively. AI can streamline business processes, complete tasks faster, eliminate human error, and much more.
Today, AI is used in a variety of applications across industries, including healthcare, manufacturing, and government. Here are a few specific use cases:Prescriptive maintenance and quality control improves production, manufacturing, and retail through an open framework for IT/ OT. Integrated solutions prescribe best maintenance decisions, automate actions, and enhance quality control processes by implementing enterprise AI-based computer vision techniques.
Speech and language processing transforms unstructured audio data into insight and intelligence. It automates the understanding of spoken and written language with machines using natural language processing, speech-to-text analytics, biometric search, or live call monitoring.
Video analytics and surveillance automatically analyzes video to detect events, uncover identity, environment, and people, and obtain operational insights. It uses edge-to-core video analytics systems for a wide variety of workload and operating conditions.
Highly autonomous driving is built on a scale-out data ingestion platform to enable developers to build the optimum highly-autonomous driving solution tuned for open-source services, machine learning, and deep learning neural networks.
The top job profiles for Artificial Intelligence and Data Science graduates are Data Scientist, Machine Learning Engineer, Database Developer, Business analyst, Business Intelligence Developer, Big Data Engineer/ Architect, etc.