Jeyandran Venugopal is the cofounder of Eclinic247, an early stage health-tech Startup addressing primary care. Jeyandran has worked at two leading consumer Internet biggies over the last 14 years – Yahoo and Amazon (Web Services). His past positions have included VP Engineering, Yahoo!, Senior Director, Engineering Yahoo!, Director of Engineering, Yahoo!, Senior Manager, Amazon Web Services and Consultant, National Center for Supercomputing Applications (NCSA). His expertise lies in machine learning, algorithms, distributed systems and scaling with focus on verticals like content processing, video, geo-informatics & user location, infrastructure services and search. He holds several patents – in the online payment, image based CAPTCHA and content consumption-to-product-sale paradigms. Jeyandran holds a MS, Computer Science, MS, Mechanical Engineering, University of Illinois and a BE, Mechanical Engineering, College of Engineering, Chennai.
This session should provide valuable insights for entrepreneurs and Startups in the consumer Internet space. Bring your burning questions and points of view to make this session even more valuable.
Jeyandran Venugopal’s – “Consumer Internet Insights” session sketched trends, opportunities and challenges in this space. Here are the Lounge47 key takeaways:
1. India has become the new “Land of Opportunity” – untapped potential, increased consumer/middle class spending, adoption-cycles shortening due to younger demographic willing to be early adopters, institutional investment in Startups increasing
2. “Cost to Try” is cheaper in India
3. Some stats – Population: 1.28b, Internet users: 1/6, Tablet users: 1/120. Mobile Internet users: 1/10, Social Media users: 1/13 4. Mobile growth presents a tremendous opportunity – Mobile Internet growing faster relative to rest of the world
5. Opportunities: a. Enabling Technologies for Mobile Platforms: plugging a key function within a growing ecosystem e.g. search engine for apps, App personalization & recommendations, performance, analytics and insights, cross platform app development, prototyping tools, design to code technologies, democratization of app development (e.g. andromo, appgeyser), enterprise mobility (e.g. Kony), regional language focus b. Advertising Platforms: programmatic buying platforms, demand- side platforms that can optimize Ad buy ROI’s, unified solutions for multichannel ad spend management to optimize impressions for targeted spending objectives, SMB businesses – managing marketing spends, fraud management c. Personalization Technology: Given current vastness of Internet how to enable users to get relevant and contextual information and explore interests – how, what, where and when of personalization needs to be thought through and pin-pointed technologies like machine learning, large scale data analytics and data mining used to enhance efforts d. Natural Language Processing (NLP), Speech (processing and synthesis), Image and Video Processing: Given that semantic web initiatives have not taken off, self expression through blogging e.g. Tumblr, rich media as opposed to text, deep learning networks for image and video understanding – a new and hot field e. Big Data Analytics as an enabler is the other big area
for opportunity
6. Challenges: Cyber security – active threat groups for example have increased +4x since 2011.
Also, social implications should be considered carefully e.g. Google glass.
