BANGALORE, INDIA: Intel architecture is providing the compute power to some of the critical AI initiatives in India, so businesses can accelerate solutions, automate operations, gather better insights – and make smarter decisions on the cloud.
As a part of its commitment to boost adoption of AI in India, Intel collaborated with 40 academic institutions that are using the technology for scientific research, and 50 public and private organizations across e-commerce, healthcare, technology, defence, and banking & financial services that are reducing AI entry barriers for developers, data scientists, and students through developer focused events, and Code Modernization workshops.
Prakash Mallya, Managing Director – Sales & Marketing Group, Intel India, said “We have worked with 9500 developers, students, and professors, across 90 organizations to ensure that India is not only AI ready but already delivering results.”
In September this year, Intel announced the Intel Nervana DevCloud, a cloud-hosted hardware and software platform for developers, data scientists, researchers, academics and startups to learn, sandbox and accelerate development of AI solutions with free compute cloud access powered by Intel Xeon Scalable processors. By providing compute resources for machine learning and deep learning training and inference compute needs, Intel is enabling users to start exploring AI innovation without making their own investments in compute resources up front.
Intel at its Cloud Developer Day in India today shared insights on how businesses can gain from their cloud deployments in the fast evolving hyper-connected world. The company used the platform to highlight progress on its artificial intelligence (AI) strategy for the country, and to showcase success stories wherein organizations in India are using AI to stay ahead of the curve.
The event also included a hands-on workshop for the developers sharing general principles of deep learning, a walkthrough NxtGen’s Developer Cloud, and provided them with an opportunity to familiarize themselves with Intel Optimized Caffe and TensorFlow.