About this webinar
Artificial Intelligence (AI) is buzz in every industry. AI is an area of computer science ultimately working to make computers perform human tasks. AI is a constellation of many different technologies working together to enable machines to sense, comprehend, act, and learn with human-like levels of intelligence. Maybe that’s why it seems as though everyone’s definition of artificial intelligence is different: AI isn’t just one thing. Different categories of AI include Robotics, Speech and Text, Automation and Machine Learning. Each one is evolving along its own path and, when applied in combination with data, analytics, and automation, can help businesses achieve their goals, be it improving customer service or optimizing the supply chain.
Machine Learning is a core part of AI and is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. It’s essentially the science of getting a computer to act without programming. There are three types of machine learning algorithms: Supervised, Unsupervised and Reinforcement Learning. AI has made its way into a wide range of areas including Healthcare, Business, Education and Finance – AI is changing the world. In this webinar you will understand what the essential things are, you need to consider while working in AI and how you can develop and upgrade your skillsets to work into AI.Takeaways
• Subdomains of AI & AI in Industrial applications
• Overview of Deep learning & Machine Learning applications
• Roadmap towards AI development & essential AI skillsets
• Concept of AI Hub in India
• Challenges in developing & deploying AI Applications.
Preparation
● We will provide the zoom link before the webinar.
About the instructor

Bhushan Muthiyan
Bhushan is a data scientist professional, a software engineer who is keen on applying algorithmic models
to ease business challenges by making cutting edge Artificial Intelligence accessible to all. He is
Graduated from San Jose State University with MS in ML and Embedded Systems. He has an industry
experience to generate breakthrough ideas and commercialize innovation and growth solutions on a
global scale. He is specialized in designing and developing AI infrastructure for organizations. He is
working with companies to create STRATEGIES and build business INNOVATION through smart
adoptions of AI technology. His background and experience allow me to engage and provide services in
the following areas:
• Machine Learning Modeling
• Deep Learning modeling
• Micro-services architecture
• Cloud and Managed Services Strategy
(www.automatonai.com)