Ameya Velankar Steps Down as Uber Marketing Head for India
Ameya Velankar has recently left his position as Head of Marketing for India and South Asia at Uber, after dedicating over seven years to the company. His exit signifies the conclusion of a long journey during which he played a significant role in defining the brand's presence in a key global market.
Velankar joined Uber in 2019, where he held various positions in product and category marketing before eventually being promoted to oversee the function for the region.
Also Read: Cycle Pure Agarbathi Acquires Satvik, Enhances Omnichannel Reach
In 2021, he was named the Head of Marketing for India and South Asia after temporarily leading the team, and played a crucial role in enhancing Uber's reputation in a fiercely competitive and dynamic transportation market.
Throughout his time in the position, Velankar played a crucial role in steering the marketing strategy and implementation, emphasizing the development of tailored storylines and expanding the usage of products. His efforts extended to various services in the Indian market, such as Auto, Moto, Rentals, and Intercity, showcasing Uber's commitment to customizing international platforms to meet the specific demands of local customers.
Before starting at Uber, Velankar developed his marketing experience at prominent consumer companies such as SC Johnson and Marico, where he managed various category and product leadership positions.
He initiated his career at RPG Enterprises, providing him with a solid foundation in brand development and business strategy across different industries.
Uber recently made public its intentions to enhance its infrastructure and artificial intelligence (AI) functionalities through Amazon Web Services (AWS). This strategic move involves the utilization of AWS Graviton instances to back a larger portion of its Trip Serving Zones, which form the backbone of the real-time operations for all rides and deliveries.
Also Read: Rohan Mehta Named CTO at Omnicom Advertizing India
In addition, Uber has initiated a pilot program to train certain AI models using Trainium, leading to expedited rider and delivery matching processes, improved global demand management, and more sophisticated, customized experiences for the millions of users who engage with the platform on a daily basis.
Uber's Trip Serving Zones play a crucial role in ensuring the seamless operation of every ride and delivery, involving the generation of numerous forecasts and the rapid processing of location information in a matter of milliseconds. In an effort to enhance the real-time capabilities of Trip Serving Zones, Uber has decided to increase its utilization of AWS compute, storage, and networking services.
By leveraging AWS Graviton4 for a greater portion of these tasks, Uber aims to not only decrease energy consumption but also facilitate rapid scalability in times of heightened demand, thereby reducing latency and enhancing cost-efficiency. The exceptional performance of Graviton4 is instrumental in executing real-time computations that facilitate quicker matching of riders with drivers, all while upholding high standards of reliability, availability, and security.
Also Read: Flipkart-Owned Myntra's CEO Nandita Sinha Set to Exit
Uber has recently initiated trials with AWS Trainium3 in order to train certain AI models responsible for enhancing its applications. These models are crucial in analyzing a vast amount of data generated from billions of rides and deliveries to make informed decisions on driver or courier dispatch, estimate arrival times, and suggest optimal delivery choices for customers.
The process of training AI on such a massive scale demands significant computing capabilities, which can be efficiently and cost-effectively met through Trainium. With continuous learning from an increasing number of trips, Uber is able to facilitate quicker matches, more precise arrival time predictions, and tailored recommendations to customers across the globe, enabling them to reach their destinations faster and receive their deliveries promptly.