Program

Key Themes

Governance Services and Role of AI & IoT

The Government of India has announced an ambitious plan. The primary focus is on trending technologies like robotics, artificial intelligence, analytics, etc. as far as skill building initiatives have been given a boost. It remains to be seen how partners from the private sector eco-system with knowledge and expertise in these areas will get involved in these initiatives. Some of the initiatives are – AI-based Sowing App (Agriculture), Road safety measures, Interactive Cane for Visually Challenged (Healthcare), Water quality for Citizens, ABHED (Artificial intelligence Based Human Efface), etc.

SMART City Solutions and AI & IoT

Improving cities is a pressing global need as the world’s population grows and our species become more urbanized. Thanks to the relative ease with which government can now gather real-time data, combined with the capabilities of artificial Intelligence, cities are realizing interesting new ways to run more efficiently and effectively.

New Generation Technological Innovations

The new and trending technologies will reshape how firms acquire and develop technology, how business partnerships will change, and how businesses fundamentally operate as robots become more human. It is imperative to learn the new rules and strategies to survive in the new age.

It is worth seeing the new technological disruptions through RPAs, Blockchain, Machine Learning, Deep Learning, Chatbots, Augmented Intelligence, Artificial Intelligence, Internet of Things, Augmented Reality, Virtual Reality, etc.

Business Transformations through AI & IoT

The Internet of Things (IoT) coupled with advanced analytical capabilities such as AI can lead to next-level solutions and experiences. To realize greater value from the network, and to radically transform their business and operating models, industry leaders are integrating AI with incoming data from a vast array of IoT devices. Forward-thinking leaders are building scalable digital platforms that help uncover new insights about customer behaviors, perform predictive maintenance on key components and enhance manufacturing, agriculture and logistics networks.

Connected World through AI & IoT

The objective of the theme is to flesh out the actual applications of combining AI and IoT being used in industry today, and to demonstrate important trends and future use cases for technologists who want get an idea of how artificial intelligence might help in making sense of the connected devices in the coming decade. (Examples - Automated vacuum cleaners, Facebook’s facial recognition, Apple’s Siri, Smart Homes, Security and safety, Automated self-driving cars, and so on).

  • Real-world use cases of artificial intelligence combining with the IoT
  • Potential applications in the industry and for consumers

Cyber Security & Data Privacy

While we see the benefits of IoT, AI and conversational systems to achieve operational excellence and customer satisfaction, the biggest risk enterprises experience is in security. With potential GBs of raw data, security is at stake. For an organization to be able to effectively manage the risks of its ecosystem, it needs to clearly define the limits of that ecosystem.

Understanding AI & IoT through Geo-enabling Location Intelligence

When data volume grows beyond human ability to discern the patterns in it—when a company is faced with truly a big data, we need a new form of intelligence. GIS, infused with artificial intelligence, can help decision makers make better decisions at all levels of policy, business, operations, etc. Organizations today are using location-based data and analytics to do just that in a number of ways, from reducing costs through augmenting address verification, to improving customer experiences with in-store location technology and enhancing civic and community engagement in local government with spatial analysis software.

Future Roadmap: Adopting Hybrid Agile Model

Over the last few years, product life cycles have continued to shorten, particularly when it comes to software. However, in the age of IoT, these product life cycles will have to hit hyper drive. To meet this increasingly frantic pace, organizations will need to adopt a hybrid agile model, borrowing key capabilities from the automotive industry and other sectors with high maturity and long life cycles, while accelerating the pace of release for key software components. A robust framework to identify the right mix of capabilities for product delivery and rapid deployment will be key to success.