Ankur Narang

Vice President - AI and Data Technologies at Hike Messenger

Dr. Ankur Narang has 25 years of experience in Senior Technology Leadership positions across MNCs including IBM Research India and Sun Research Labs (Oracle), CA, USA. He was one amongst Top-10 Data Scientists in India in 2017 (Analytics India Mag) in recognition of solid scientific and industry contributions to field of Data Science and Artificial Intelligence. In 2018, he was given the Top 50 Analytics Award at MachineCon conference in recognition of exemplary leadership and contributions to ML/AI (Analytics India Magazine). He was also conferred Top 100 Innovative CIO Award in 2019, for distinguished leadership in Innovative Technologies based Digital Transformation (CIO Axis). In 2002, he was awarded Sun Microsystem’s prestigious “Innovation Leadership Award” for significant contributions to the Phaser Hardware Acceleration Project.

He holds B.Tech. & Ph.D. from IIT Delhi in CS&E and has 40+ publications in top international Computer Science & Machine Learning conferences and journals, along with 15 granted US patents. He has held multiple Industrial Track and Workshop Chair positions, and has given invited talks in multiple international conferences. His areas of interest and expertise include: Artificial Intelligence and Machine Learning. Big Data Analytics, High Performance Computing, Distributed Systems, Parallelyzing Compilers and IT for Healthcare & Oil & Gas. As Vice President – AI and Data Technologies, at Hike, he leads state-of-the-art research and development projects on NLP, Chatbots, Computer Vision, Speech Recognition and related AI/ML areas.

All Sessions by Ankur Narang

  • Day 2

    Sep 19, 2019

  • 16:00  - 16:30
    Quantum Computing is a promising computing paradigm that has made good advances in recent years with latest hardware platforms including Google’s 72 qubit Bristlecone processor and trapped ion quantum computer with 160 stored and 79 processing qubits from IonQ. There are many emerging and proven applications of Quantum Computing including molecular modelling for faster simulations leading to development of more efficient products, cryptography for more secure encryption techniques, financial modeling, weather forecasting, particle physics modelling for complex physics simulations and artificial intelligence. In the last few years, researchers have investigated leveraging quantum computing to improve classical machine learning algorithms. Ideas range from running computationally expensive algorithms or their subroutines efficiently on a quantum computer to the translation of stochastic methods into the language of quantum theory. In this talk, I will give a systematic overview of the emerging field of quantum artificial intelligence, along with current approaches and technical details and will highlight the opportunities and challenges for practical AI applications.
    Hall 2: Knowledge Talks



Don’t forget:

September

21-23, 2022

Bangalore, India

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Ankur Narang