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2016: The Year of Machine Learning

Behind self-driving cars from Google, natural speech recognition by chatbots such as Siri, and online movie recommendations by Netflix, the technology at play is machine learning. 2016 marks the year when machine learning made its mark.

Machine learning is able to sift through giant amounts of data, detecting patterns, and presenting them visually in meaningful forms – generating predictable responses and outcomes.

The applications for machine learning vary. In its simplest form, machine learning will transform productivity and enterprise apps, including for instance, early adopters such as Siri, Cortana and Google Now. At its complex, Machine Learning will revolutionize drug discovery through applications, ranging from intelligent drug screening, to disease diagnosis.

The India market for machine learning, though early stage, holds promise. The India machine learning ecosystem is home to some exciting startups, venture capitals and angel investors backing them, and enterprises adopting such technologies, the signs portend at a promising market growth.

While some of the early pioneers in India have developed unique use-cases for applying machine learning, the future will be “+Machine Learning” – a phase marked by startups applying machine learning to various application areas.

Here are some exciting machine learning startups from India:

TupleJump, developed “FiloDB”, an opensource project that applies machine learning concepts and analytics to massive amounts of complex data right as it streamed in. Apple acquired TupleJump earlier this year.

Locus, deploys machine learning in B2B ecommerce logistics management helping clients in dispatching goods, in route optimization, in real-time driver tracking, in managing onfield workforce and in sending SMS alerts to customers., has developed a chatbot that allows customers to order anything over a simple chat interface using machine learning,. The company has got more than 25 partner brands.

Snapshopr focuses on visual search and image recognition, focuses on complex Deep Learning Algorithms to develop General AI systems that can adapt and learn to multiple use cases with minimal inputs from humans. focuses on tracking uninstalled users, the potential reason for uninstallation with intent on resolving such cases in future.

Are you working on machine learning technology? Do you have Machine Learning patents? If yes, talk to us at Hammerkopf. We would love to learn more about you.


Want the Full Report? Download the report to understand what Asian AI startups are upto.

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