Samavesh 2019

Samavesh 2019

Mr. Dale Vaz
Head of Engineering & Data Science, Swiggy

Dale Vaz is the Head of Engineering and Data Science at Swiggy. His key responsibility is to drive the company’s technology strategy and lead the Engineering and AI teams in building Swiggy’s next generation AI driven platform for hyperlocal discovery and on-demand delivery.

Prior to this, Dale spent over 11 years at In his last stint there, he built and led engineering and AI teams for Amazon India, launching new products and platforms for Amazon IN Consumer business, Amazon IN Payments, Amazon Now and As someone who thrives in high performing engineering organizations, Dale is passionate about delivering innovation through technologies including machine learning, big data systems, highly scalable low-latency distributed systems and mobile. Apart from technology, Dale is also focused on transforming Swiggy into an AI first, agile organization that can innovate at 10X scale.

Dale holds a master’s degree in business administration from the University of Massachusetts Amherst and a bachelor’s degree in computer science from Manipal Institute of Technology.

Mr. Rohit Pandharkar
Head, Data Science and Artificial Intelligence at the Group Strategy Office, Mahindra Group

Rohit Heads Data Science and Artificial Intelligence at the Group Strategy Office of the $20BN Mahindra Group which spans several industries. He holds a Masters Degree in Media Arts & Sciences from Massachusetts Institute of Technology, (MIT) Media Lab at Cambridge, Massachusetts. He holds several US patents and international publications in the areas of AI, Computational Imaging, Signal processing, Cryptography.  He also represents India on the International Standards Organization (ISO) committee for standards setting in Artificial Intelligence.

He has also been an invited reviewer at international journal and conferences like ACM Siggraph, ACM Siggraph Asia, IEEE CVPR, ECCV, ICCP etc and has also been a TEDx Speaker. He has led business units in diverse areas of Mobile Apps, Mobile Network Performance and Security, Solar Energy, Internet of Things, Electric Vehicle Car Charging & Battery Storage. Previously he has headed APAC Business Development for a Google Venture funded company HeadSpin which is an AI based platform for mobile app performance.

Rohit is also a prolific public speaker in the area of Artificial Intelligence and Data Science and has been an invited speaker at industry events like: TEDx, CII, Global Entrepreneurship Summit, Carnegie Mellon University, MIT - Cambridge, IITs, IIMs etc

 Ms. Charmaine Lewis Wali​
Head,  Modern Workplace for the Unicorn and Retail & Growth Verticals,  Microsoft Corporation India Pvt. Ltd

Charmaine Lewis-Wali joined Microsoft India in May 2000 and has served multiple roles in Microsoft spanning across Partner Alliances, Enterprise Sales, Cloud Services, Consumer Channel and Devices. She currently heads the Modern Workplace for the Unicorn and Retail & Growth Verticals.

Her strategic responsibilities include enabling customers to achieve higher levels of efficiency through the modernization of their Workplace using everyday AI and modern devices.

She has over 20 years of experience in the IT industry having worked for organizations such as CMC, Oracle Financial Services apart from Microsoft in various capacities where she led both the local and international markets business. She has won multiple awards in Microsoft and is a two- time winner of the prestigious Circle of Excellence Award for her outstanding work.

A Computer Engineer by profession, Charmaine has deep interest in bringing delight to customers through the use of technology, incubation of new areas and Sudoku. She has a 17-year-old daughter who never fails to surprise her with how kids use technology once in their hands.  

We are at the juncture of time where science fictions are coming out of movies and becoming realities. It was fancy enough to have imagined a world ruled by machines in the movie 'Terminators', but now, the scientists and the engineers are putting in a lot of hard work to feed the data to the machine and help it in learning the patterns. With these patterns, machines are becoming intelligent every day and are able to respond to the ever-changing scenarios. So, no more boring and mundane jobs for the machines, as now they can take basic level decisions based on their intelligence and, well, the day isn’t far when complex decisions will be entrusted on the acquired wisdom of the nonhuman intelligence.

The term Artificial Intelligence (AI) was coined in 1956, but it took decades of innovation and research across different domains to make artificial intelligence acceptable to the society and to businesses across the spectrum. As we are witness to, we have at home the avatar of AI in the form of Siri or Alexa or Watson or Google assistant; but going forward the AI is poised to change the landscape significantly.

With the current age of data overloads, it is humanly impossible to analyze that volume of data and make any sense out of that. This is where AI comes to help. The subset of AI is machine learning (ML), through which algorithms learn as they encounter large volumes of data or huge variability in data and apply their acquired learnings to make better decisions. The algorithm sifts through the data, analyze and, most importantly suggest corrective and preventive actions. For example, in a manufacturing company, the machines connected to a central server generate a tremendous amount of data every second (8~10GB/sec) which is voluminous, high on variability and high velocity. The AI algorithm analyses this big data and track specific performance parameters such as machine utilization. If the AI bot tracks any issue in a machine, it may trigger a maintenance initiative for that machine.

Offering the right product and service at the right time in the right quantity is the biggest challenge any business faces, in the context of changing consumer behaviour.

Loyalty is becoming costlier to retain and tougher to gain. So, business would want to seize any opportunity that comes their way. This requires accurate forecasting and agility to adjust to the changing market scenarios. All these need constant monitoring of multiple trends, including consumer mood survey, social media buzz, economic trends, photos, videos uploaded by the potential consumers, etc. Wide variety of data, their sources, and analysis make the job humanly impossible. Here comes AI to the rescue, the algorithms not only analyze the data but also adjust outcomes according to the changing trend.

However, this is just the tip of the iceberg as AI and ML have huge potential to change the business scenarios globally. As we speak, the artificial intelligence is seeping into almost every industry such as automobile, healthcare, retail, aviation, banking, financial services and insurance to name a few and is disrupting the current business models and igniting the endless opportunities for innovation. With AI calling the shots, new business models would evolve, and current models perhaps would be remembered through case studies.





9:00 am - 9:10 amIntroduction and Opening
9:10 am - 10:00 amTopic : AI to Drive Accesibility
Speaker : Ms. Charmaine Lewis - Wali
10:00 am - 10:20 amStudent Presentation - Team 1
10:20 am - 11:10 amTopic : AI @ Swiggy - Delivering Smiles Through AI Driven Innovation
Speaker : Mr. Dale Vaz
11: 10 am - 11:30 amBreak
11:30 am - 11:50 amStudent Presentation - Team 2
11:50 am - 12:40 pmTopic : Delivering Real Value Through AI
Speaker : Mr. Rohit Pandharkar
12:40 pm - 1:00 pmClosing and Vote of Thanks

SPJIMR Auditorium
Bhavan's Campus
Munshi Nagar | Dadabhai Road,
Andheri West | Mumbai - 400 058, India
Tel:+91-22-2623-0396/ 2401


Glimpses of Samavesh 2019
Bhavan's Campus
Munshi Nagar | Dadabhai Road,
Andheri West | Mumbai - 400 058, India Reception: +91 22 61454200
Delhi Centre
Bharatiya Vidya Bhavan Campus, 
3rd Floor Gate No. 4, Copernicus Lane
Kasturba Gandhi Marg, New Delhi-110001
Telephone: 011-23073121, 011-23006871
Direct Line: 011- 23383563

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