Sticker recommendation and AI-driven innovations on the Hike messaging platform
Ankur Narang offers an overview of the cutting-edge AI-driven innovations on the Hike messaging platform, such as sticker recommendation with multilingual support—a key innovation driven by sophisticated natural language processing (NLP) algorithms. Sticker recommendation enables effective communication between users without the inconvenience of and the need for a keyboard but requires processing millions of messages across multiple languages and generating semantically relevant recommendations in real time. Ankur also highlights other areas of innovation driven by AI, including vision, fraud detection and mitigation, and personalization.
Ankur Narang is the vice president of AI and data technologies at Hike. Hike is a homegrown AI- and ML-led internet startup behind some of the country’s most innovative platforms such as Hike Messenger and more recently Hike Sticker Chat. He leads state-of-the-art research and development projects on natural language processing (NLP), chatbots, computer vision, speech recognition and related AI and ML areas. Ankur has over 25 years of experience in senior technology leadership positions across multinational corporation (MNCs), including IBM Research India and Sun Research Labs (Oracle), California. He was among the top 10 data scientists in India in 2017 (Analytics India Magazine) in recognition of solid scientific and industry contributions to the field of data science and artificial intelligence. In 2018, he was given the Top 50 Analytics Award at the Machine Conference in recognition of exemplary leadership and contributions to ML and 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 a BTech and a PhD, both in CS&E, from IIT Delhi and has 40+ publications in top international computer science and 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, parallelizing compilers, and IT for healthcare and oil and gas.
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