About The Event

Why AI India 2019?

In recent years, the use of Artificial Intelligence (AI) is on the rise rapidly in various industries. With this background, AI India 2019 is planned as India’s first global trade show focused on AI.

AI India will offer a unique opportunity to bring together the worldwide AI community to tackle the challenges of digital future in India, all facets of the evolving and exploring opportunity under one roof.

The 3-day extravaganza will showcase case studies, research, applications, equipment, Next-Gen technologies and strategies from the world of Artificial Intelligence. Thereby providing an opportunity to explore and discover the practical and successful implementation of AI in India to drive business forward in 2018 and beyond.

Participant will have a never before opportunity to engage and interact with global thought leaders in the field of AI. They will also be able to network with relevant global professional and explore Business Intelligence, Deep Learning, Machine Learning, AI Algorithms, Data & Analytics, Virtual Assistants, Chatbots and more.

Event Highlights

  • Dedicated event to AI applications for enterprises
  • Network with potential clients & partners
  • Experience intelligent real-life networking application services
  • Promote brand as an AI innovator and thought leader
  • Showcase products and services to industry leaders and investors
  • Launch new initiatives
  • Associate their brand with cutting edge AI technology
  • Hear the most inspirational case studies and solutions presented
  • Join the community of world’s top technology provider
  • Engage with the industry’s leading solution providers, spearheading innovation in AI research and product development

Application of Artificial Intelligence

The first wave of AI models (early 2000s) were human rules driven, it is the reasoning model. The machine would explore the specifics based on causality or logic (the human defined rules). This AI capability is scoring well in reasoning over narrowly defined problems (such autonomous driving in a segregated area) but has no learning capability and poor handling of uncertainty.

The second wave of AI is the learning model. Engineers create statistical models for specific problem domains and train them on big data to make predictions. This was this type of AI used by IBM deep Blue beating on Kasparov on a chess game, but that kind AI cannot plan and make decision (reasoning) and is not able to play checkers or any other board game by itself unless reprogrammed for such new application.

The third up-coming wave of AI is the self-learning model that will allow the machine to adapt to different contexts and environment to a certain extent to better deal with real world phenomena. Deep Learning is the disruptive breakthrough because it provides self-learning technology that can then reproduce its own set of data and rules.

Some of the applications of AI in key verticals as follow:

S No Industry Verticle Applications of Artificial Intelligence
1 Aerospace and Defense
  • Optimization of manufacturing processes
  • Smart maintenance, flight operations optimization, training or even virtual assistants for pilots and crew
  • Increasing automation of piloting as well as safety by predicting when airplanes need maintenance
2 Agriculture & Food Processing
  • Help farmers determine best times for seeding and for sowing their crops
  • Monitor Crop & Soil Health
  • Predict various environmental impacts
  • Autonomous robots to handle essential agricultural tasks such as harvesting crops at a higher volume and faster pace.
  • Sorting products and packages
  • Food safety compliance
  • Improved cleanliness
  • Produce development
  • Marketing
3 Automotive
  • Driverless cars
  • Driver-Assist Features like Automatic braking, collision avoidance systems, pedestrian and traffic alerts, and intelligent cruise controls;
  • Track driver alertness, near misses, and unsafe driving habits
  • Logistics and predictive maintenance
4 Financial Services
  • Quicker forecast of change in stock trends and manage finances
  • offer suggestions to the clients
  • Keep a track of the customer base, addressing their needs
  • Check suspicious transactions
5 Energy
  • Make smart electric grids more efficient in delivering energy
  • Lower the usage of fossil fuels if algorithms detect that renewable energy is producing a lot of electricity on particularly windy or sunny days
  • Predict when batteries and other equipment will fail
  • Find energy sources more efficiently through data analytics and other methods
6 Media & Entertainment
  • In Games, imparting personalities to the characters
  • For music and movies, the users are recommended to watch or listen to certain creations
7 Technology & Communications
  • Enhance security across a number of business sectors, including retail and financial
  • Augment human decision-making with increased precision & Reduce false positives with behavior analysis
  • Handle threats on their own
  • Virtual Personal Assistants like Siri, Cortana, and Google Now
  • Required data is fetched for the queries of the users and to suit the user’s preferences
  • Creating Bots which can be able provide any information that people want
  • Smarter fitness tracking apps
  • Intelligent chatbots.
8 Healthcare
  • Assisting with the diagnosis and treatment procedures
  • suggest different kind of treatments based on the patients’ medical history
  • Surgical Robotics
  • AI solutions for chronic disease management in the areas of cancer and diabetes
  • Smart Electronic Health Records
  • Accelerating drug discovery and Manufacturing
  • Augmenting the work of drug development researchers
  • Discover new drug targets and alternative drug indications
  • Clinical Trial Research
  • Analyse patents and other genetic and biological information
9 Education & Skills
  • Reports
  • Data Driven Analysis
  • Automated writings in future
  • Public health, law and order, education and even city sanitation and cleanliness
  • Helping create good governance
10 Transport & Logistics
  • Prediction of price, weather and traffic etc
  • Anticipatory logistics are based on predictive algorithms running on big data about the consumer demand & patience
  • Self-learning logistics systems recognizes patterns in data, analyzing them, and issuing accurate reports or actions
  • Supplier inventory management & Disruption management
11 Manufacturing
  • Monitor, record, and analyze everything in manufacturing from Design to delivery to find problems and solutions
  • Adaptive Manufacturing
  • Predictive Maintenance
  • Automated Quality Control & Demand-Driven Production
12 Retail & E-commerce
  • Recommending the customers what to purchase
  • Providing chat bots for seeking guidance or for solving queries
  • Chat bots that are trained to respond and extract the required knowledge from the site and present it to the customer
  • Learn the behavior and usage pattern shown by the user and then accordingly the appliance starts behaving in a similar manner on its own without needing any instructions
  • Smart appliances is the ability for self-diagnostics

Government of India initiatives in AI

The Ministry of Commerce and Industry has set up this Task force on Artificial Intelligence to kick-start the use of AI for India's economic transformation.


Leverage AI for Economic Benefits. Creation of policy and legal framework to accelerate deployment of AI technologies Concrete 5 year horizon recommendations for specific Government, Industry and Research programs


Embed AI in our Economic, Political and Legal thought processes so that there is systemic capability to support the goal of India becoming one of the leaders of AI-rich economies