Intel trains 90000 Indians in Artificial Intelligence since April 2017
Intel India, the subsidiary of the US chipmaker, Intel Inc has trained around 99,000 professionals including students, developers, and professors in Artificial Intelligence (AI) since April last year, against a target of 15,000 for the first year of its program, quoting PTI, ET reported. The company has also forged alliance with renowned educational institutions such as the Indian Institute of Technology in Delhi, Mumbai, Kharagpur, Kanpur and Chennai and IIITs in Bangalore, Hyderabad, BITS Pilani, ISI Kolkata, IISc Bangalore, CDAC and other firms including oil major Shell and IT giant TCS for training under its AI Developer education, noted the report.
Prakash Mallya, Managing Director for Sales and Marketing, Intel India said, “Though we had committed to training 15,000 developers, students and professors in AI initially through training workshops, we have already exceeded the target over sevenfold at 99,000 by training the member belonging to 100 firms.”
Launched in April 2017, the initial target was for a year ending April this year. The program is aimed at democratizing AI through alliances with partners and customers; the official was quoted as saying in the report. Intel powers almost 97% of data center servers running AI workloads currently in the world. Intel, which organized its first AI developer conference in India recently in Bangalore after the initiative in the home market the US this year, had in excess of 500 developers attending it. What is more, Intel also announced forging alliance with Philips India and Mphasis to deploy its AI portfolio in the local eco-system, added the report.
At the Intel AI DEVCON, officials felt that India can play a crucial role in the development of AI with the sheer diversity presented by the country giving AI models a variety of data sets to work with, according to a First Post report. Intel India hosted its first edition of AI Developers Conference (AI DevCon) in Bangalore on August 8, apparently following a similar event that took place in the US.
The idea of the AI DevCon is to bring key stakeholders in the fields of data science, machine and deep learning, application development and more to work towards making AI mainstream. Intel also used the occasion to talk about its end to end solutions across software, hardware and the ecosystem enabling an AI-first approach to doing things. In addition to the over 500 developers who attended the event, the AI DevCon also had sessions with Intel’s key industry partners who gave real-life examples of using AI and deep learning in their day-to-day operations. Verticals such as e-commerce, healthcare, software consulting, telecom infrastructure and more were covered over the day-long sessions.
Gadi Singer, vice president, and architecture general manager, AI at Intel, said: “It is much easier for data scientists to focus on work in AI and not worry with programming for complex AI work. The real-life inferences are more important than mere training.”
The emergence of machine learning frameworks further led to the democratization of data science, according to Singer, which let developers develop models and focus on AI rather than spend time in trying to program a complex model. The use of open source machine learning frameworks such as TensorFlow, Caffe2, Microsoft Cognitive Toolkit, and so on, has enabled quicker turnaround time for deep learning models and allowed AI to scale. According to Singer, the world is headed towards developing AI models which derive inference out of the data fed to the deep learning models. By this, he means AI models that help with decision making rather than merely using data to train AI models, added the report.
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