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Rising Demand for India's AI Talent Pool
In comparison to other countries, India surpasses the supply of tech talent. For a long, the country has been known as a tech-talent generator or, more accurately, the IT industry's back office, being home to many and establishing a major presence overseas.
However, the world's most popular country, the USA, lacks data scientists, machine-learning professionals, and qualified engineers, all necessary for today's businesses and emerging technological developments.
There is an insatiable demand for AI/ML talent, which cannot be outsourced and is considered a "Corporate Essential." The Indian IT business is built on an adequate supply of low-wage labor, which is known worldwide.
Companies like Tata Consultancy Services (1) pioneered the modern outsourcing model. Western corporations employ engineers from other countries, mainly India, to handle their backing, software, and other services for just a small percentage of the cost of employing their local personnel.
According to Nasscom (2), over five million people work in AI services in India, prompting Google, Baidu, and Microsoft to shift some of their attention to the Indian market. It wasn't a "big deal" for these tech titans because they already had a presence in India.
India added sixty+ tech innovation centers (GCCs) last year to manage projects such as IT support and customer service. They have expanded into in-house centers for business-critical technologies and basics such as AI.
According to a February Nasscom study (3), India has the second largest supply of highly skilled AI/ML and data science professionals after the United States. It contributes 16% of the world's AI talent pool, ranking it in the top 3 alongside the United States and China.
As a result, there is a rising requirement for AI talent pools from India. Since India's working culture is accustomed to a lesser wage than other countries, the twofold wage is a "not-so-big-deal" for multinationals.
Rising AI Concerns led POTUS Joe Biden to meet Satya Nadella, Sundar Pichai, Sam Altman, and Dario Amodei
US President Joe Biden requested the attendance of top executives who are propelling the AI industry beyond fantasy, such as Satya Nadella of Microsoft, Sundar Pichai of Google, Scam Altman of OpenAI, and Dario Amodei of Anthropic for addressing the potential risk of AI (4).
The agenda of exploring the concerns involved with artificial intelligence began at 11:45 ET and lasted two hours, being described as a "frank and constructive" conversation. POTUS Biden had to confront this issue since generative AI has become a hot topic, with tools like ChatGPT rising and roaring in several industries.
The AI-led writer's strike in Hollywood also generates havoc and anger throughout the industry. AI has been a hot topic among audiences and businesses, prompting a rush of adoption and the development of potential technologies that threaten traditional jobs.
POTUS Joe Biden said in April that whether it poses a threat has to be seen. However, concerns regarding AI technology's rapid expansion revolve around problems such as privacy violations, possible proliferation, scams, skepticism, and disinformation.
He stated that tech enterprises experimenting with AI must understand their position and be accountable for ensuring their products' safety, as social media has already highlighted the potential harm these companies may cause with AI.
He also addressed the implications of AI on the nation's safety and advancement in education as the government has actively solicited public feedback and views on planned AI accountability measures.
Several White House Domestic Policy Council and White House Office of Science and Technology Policy deputies recently released a blog post warning about the possible threats that AI can cause to workers and other personnel.
According to a report addressing the possible threats, President Biden informed the executives that they must mitigate existing and future risks posed by AI to not only individuals but also society as a whole and national security, and he instructed the corporations to ensure that what they sell are safe for the public.
He also advised them to be more open with policymakers about their AI programs. According to reports, the conference included an open discussion about these concerns and the value of safeguarding these products from harmful attacks.
VP Kamala Harris (5) states that the White House is willing to consider advancing modifications and supporting new AI legislation. She went on to say that while technology has the potential to improve lives, it also raises concerns about safety, privacy, and civil rights, which must be addressed equally.
However, the US administration declared a new $140 million investment in AI safety ahead of the meeting, which the National Science Foundation will employ to establish seven new National AI Research Institutes in the United States.
The amount spent may appear modest compared to the billions of dollars invested by private firms in AI technology development, such as Microsoft's $10 billion investment in OpenAI. Nonetheless, it represents the United States' first step towards AI-related safety solutions.
The administration has demanded the release of a drafted set of guidelines for employing artificial intelligence in government to protect people's rights and safety. It asked private participants about AI threats to democratic structures, civil rights, and employment.
President Biden was forthright about his concerns about artificial intelligence, stating, "We must place people and communities at the center by promoting ethical innovation that promotes the public good while preserving society, the economy, and security."
Meanwhile, TCS is building its "own" ChatGPT-like AI tool for Corporate Coding
Tata Consultancy Services TCS is developing its own ChatGPT-like framework for corporate code development to leverage TCS's huge internal code, information, and resources to create an in-house generative AI solution (6).
Tata Consultancy Service is the largest software services company in India. The project is still in its early phases of development. However, it uses substantial language modeling functions comparable to ChatGPT.
TCS intends to develop exclusive generative AI algorithms for code creation, allowing it to leverage its decades of expertise and experience in the IT sector to provide a secure and relevant AI solution that advances its clients' projects.
According to COO Subramaniam, TCS has been in the industry for many years, and its generative AI tool would leverage existing code, data, experience, and all of the knowledge it has as a base and then generate fed codes employing TCS proprietary data and ultimately the outcome to be licensed but smooth.
He also stated that TCS is working on several use cases that utilize an exclusive generative AI algorithm to produce code but only await the process to mature. He feels that industry adoption of these generative AI technologies still requires tweaking to increase demand.
In response to the worry above, he stated that TCS will implement a few of these solutions before the last day of his tenure, which expires in May 2024 when he retires. He went on to say that the goal is to create models and then use those models to produce code that can be used in the company's day-to-day operations.
He stated that if TCS wants to provide reliable and relevant generative AI solutions for expediting client projects, it cannot rely solely on many huge language tools from various providers, which led to the creation of this project.
"Everyone is ready to use the generative AI, but as a supplier, I am obligated to deliver something free of any infringement and full ownership of intellectual property but will have to wait for the regulations governing these solutions to mature before realizing its full potential," he said.
"One of the things he started noticing in the market is that how you prompt a question to generative AI platforms is likewise very important, right?" he continued. "We are also conceptualizing a role within the corporation called "prompt engineers," he says.
They are still waiting for approval, but the industry anticipates that their role will be as important as having the field of engineering, mathematical, or analytical skills. TCS sees a potential to connect its generative AI solutions with its low-code software development system "MasterCraft."
This will compare to Copilot (7), a code-generation tool developed by Microsoft-owned GitHub and OpenAI to help developers build software faster. On the other hand, the MasterCraft tool is used by over 100 clients worldwide.
The COO indicated they had not included ChatGPT-like technologies for data pattern intelligence. But it is the future to see when it does it. Where on one side, AI concerns are raised; on the other side, AI developmental opportunities are raised.
AI is here, AI there, AI is everywhere.