Established in 1998, IBM Research - India has been advancing information technology through research in software and services, and providing leadership by delivering innovations to IBM’s clients. With locations in New Delhi and Bangalore, the lab is focused on a wide array of projects in exploratory and applied research.
IBM Research - India has emerged as a premier research lab in the region with an impressive list of achievements, including innovations in service delivery such as customer analytics, workforce management and global delivery management. In addition the lab is working to solve unique challenges in emerging markets such as spoken web, cleansing of noisy data, and scalable analytics platforms for the telecom industry.
IBM Research India is currently focussed on using cognitive technologies (machine learning, pattern recognition, software engineering, analytics) to solve problems in several industry domains such as Financial Services, Education, HR, Tech support, manufacturing, commerce and health, Energy and Utilities).
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Within the Cognitive Solutions and Services department at IBM Research - India, we have been leading the work on text and image understanding to change the way people will interact with computers by developing next generation algorithms to derive deeper insights from text and image data.
With a significant focus on Big Data at IBM in the past few years, and with IBM having access to a large amount of data, IBM Research - India has been on the fore front of applying Deep Learning techniques for strengthening its Cognivite portfolio.
Social Media Data, while being very informative and ever increasing, also provides challenges in terms of interpretation and deriving insights. We further research in this space by additionally challenging ourselves to not only generate trends but also predict outcomes based on such insights.
With increasing data, a large number of real world systems need to handle large graph structures. At IBM Research - India, we are performing research on representation of graph databases so that they can handle large data with a scalable mechanism to query them. We also focus on core Graph algorithms for Exascale computing.
The Cloud Research group works in the area of cloud computing to make it more consumable in an enterprise setting. Topics of interest include Docker container clouds, openstack clouds, migration to cloud and cloud networking.
We are building a blockchain platform and solution prototypes that have the potential to fundamentally change the way we do business in many industries. Our solution will enable significantly faster, less expensive, lower risk transactions and innovative new business models. We are working on “smart contracts”capability that allows one to model and automate business processes to run on a blockchain platform.
Our research in the Smarter Energy area is focussed around performing Smart Grid Analytics, Thermal Grid Analytics and Renewable Energy Planning and Forecasting domains. We use physical modeling, machine learning, optimization and high-performance computing technologies to solve problems in the energy domain.