RACE360 - Emerging Technology Conference 2019, Bengaluru

Artificial Intelligence

Artificial Intelligence is arguably the most revolutionary technology in several decades that would completely turn the world upside down and then shape it along with new contours. AI will reinvent everything from the nature of work to our modes of communication and transportation. ML/AI are among the highest paying jobs and companies are re-aligning their process and resources with AI. The track on AI have a series of knowledge sessions and Panel Discussions from industry leaders driving AI initiatives. Workshop session will provide the delegates a hands-on experience of building AI Systems.

Panel Discussion

Topic: Data-Driven Innovations with Emerging Technologies

The recognition that the data is the lifeline of innovation in organizations, has paved the way to optimal exploitation of existing data. The opportunities available to the companies in leveraging exponential technologies like AI, Blockchain, Cloud etc is immense. However, to gain competitive advantage, the companies need to carefully craft a data-driven innovation strategy. The panel will discuss along the below lines:

• Best practices of data-driven innovations from their experience.
• Opportunities and Challenges in commercialising these innovations
• Future prospects of these innovations.

Workshop in AI

Topic: Computer Vision with AI

Thanks to advances in deep learning, computing storage, and the explosion of big visual datasets, Computer vision applications is found in every day applications in fields as diverse as autonomous vehicles, healthcare, retail, energy, linguistics, and more.

In this workshop, the participants get to understand how computer vision actually works in a real-time scenario. The workshop will cover basics of neural networks, artificial Intelligence followed by a hands-on session, building a state-of-art Convolutional Neural Network to identify objects and people.

Pre-requisites: The attendee should have a basic understanding of computing. Knowledge of machine learning or deep learning is not required to attend this workshop.