Intel announces initiatives to accelerate AI in the country

Intel India has hosted its first AI Day where the government, the industry, and the academia congregated to discuss the potential of accelerating the AI revolution in the country. The company deep dived into its global AI strategy, and also highlighted how it is working with the ecosystem in India to improve solution performances on Intel’s AI platforms.

Intel India has announced a comprehensive developer community initiative – the AI Developer Education Program, targeted at educating 15,000 scientists, developers, analysts, and engineers on key AI technologies, including Deep Learning and Machine Learning. Through 60 programs across the year, ranging from workshops, roadshows, user group and senior technology leader roundtables, the initiative aims at empowering this community with the know-how for adoption of AI via technical sessions involving the use of ready-to-deploy platforms and tools for solution development.

Prakash Mallya, Managing Director, Intel South Asia, said, “As India undergoes rapid digital transformation, the data center and the intelligence behind the data collected will enable the government and industry to make effective decisions based on algorithms. This means increasing opportunities for using AI in the country, and to make this happen, Intel India is collaborating with Hewlett Packard Enterprise, Wipro, Julia Computing and Calligo Technologies, by enabling them with AI solutions-based Intel architecture.”

“Our collaboration with the industry and the academia will help democratize AI, by reducing entry barriers for developers, data scientists and students. In India, we are targeting the BFSI, telecom, and e-commerce sectors, across High Performance Computing (HPC), big data, and Internet of Things, all of which are complementary to AI,” he added.

Professor Pushpak Bhattacharya, Director, IIT, Patna, said, “Research and academia are great platforms to initiate AI into the society. IIT Patna has been doing cutting-edge research and development in Artificial Intelligence, distributed computing, network security, social networks, and beyond, using data-driven machine learning, as well as knowledge and deep learning-based methods. Our research groups are currently working on the implementation of evolutionary algorithms in parallel environments, and using Intel-based platforms and software tools to deploy, parallelize and optimize systems. Intel India has provided IIT, Patna with the necessary know-how to best optimize Intel-based AI platforms and technologies, making this collaboration extremely fruitful and promising.”

D. N. Narasimha Raju, Chief Executive Officer, National Institute for Smart Government, who was a panellist at the AI Day, said, “Digital transformation is at the heart of government’s endeavour to connect and develop India. As high-speed networks get established, a number of disruptive changes can happen. These changes will impact productivity. Data analytics and machine learning can automate processes across e-Governance, research and the private sector. It is recognized that the potential of Artificial Intelligence is high in sectors such as healthcare, disaster mitigation, and financial services. In order to realize this potential, there is a need to impart and develop the required skill sets in a major way. As I understand, Intel India is engaged in this effort and its proactive approach in skill imparting and solution development in the area of AI by utilizing local talent and collaboration will contribute significantly towards adoption of AI.”

AI is the fastest-growing workload in the data center, growing at two times the overall computing market. By 2020, the industry expects more servers running data analytics than any other workload, and analytics predictors will be built into every application. Staying ahead of this curve, Intel announced its AI strategy last year to drive breakthrough performance, democratize access and maximize societal benefits.

Today, Intel powers 97 per cent of data center servers running AI workloads and offers the most flexible, yet performance-optimized portfolio of solutions. Backed by its unified approach to AI, Intel is leading the AI Computing era through its end-to-end hardware and software that is designed for building AI applications across virtually any industry.

Intel’s collaboration with companies such as Google, and the company’s acquisition, including Saffron, Movidius, Nervana Systems and Mobileye, further Intel’s AI capabilities, giving the company an edge, especially at a time when embedded computer vision is becoming increasingly important the world over.

Last month, the company also announced a cross-Intel organization – the Artificial Intelligence Products Group (AIPG), which will align Intel’s AI efforts, and rally the industry around a set of standards for AI that ultimately brings down costs and makes AI more accessible to more people – not only institutions, governments and large companies, as it is today. Intel also aims to set up an applied AI research lab dedicated to pushing the forefronts of computing to explore architectural and algorithmic approaches to inform future generations of AI. This includes a range of solutions from the data center to edge devices, and from training to inference – all designed to enable Intel and its customers to innovate faster.