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Inflection Point: Shift from Traditional Outsourcing to AI

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You’re reading Entrepreneur India, an international franchise of Entrepreneur Media.

India’s leading IT services providers – Tata Consultancy Services (TCS), Infosys, HCLTech, and Wipro—are rapidly shifting from traditional outsourcing models to AI-centric approaches in response to changing client expectations and intensifying global competition.

As businesses globally are seeking greater efficiency, innovation, and digital transformation, these IT firms are embedding artificial intelligence (AI) across their offerings to deliver enhanced productivity, automation, and scalable solutions. This evolution is driven by the need to move beyond labour-intensive services, address margin pressures, and provide clients with future-ready, technology-driven value.

“To enable this transformation, Indian IT majors are investing heavily in proprietary AI platforms, reskilling their workforce, and forming strategic partnerships with global technology leaders. By integrating AI into service delivery, automating routine tasks, and co-innovating with clients, these companies aim to maintain their global leadership and relevance in a rapidly changing market. The shift to AI-centric models is essential for their continued growth, competitiveness, and ability to meet the evolving demands of the digital economy,” says DD Mishra, VP Analyst at Gartner.

For instance, IT services major Infosys launched Topaz, an AI-first set of services, solutions, and platforms using generative AI (GenAI) technologies.

“It helps amplify the potential of humans, enterprises and communities to tap into the next generation of opportunities to create value from unprecedented innovations, connected ecosystems and pervasive efficiencies. Infosys Topaz leverages Infosys-applied AI framework to build an AI-first core that empowers people to deliver cognitive solutions that accelerate value creation,” Infosys said in a statement.

“Infosys Topaz is helping us amplify the potential of people – both our own and our clients. We are seeing strong interest from our clients for efficiency and productivity enhancing programs, even as businesses are keen to secure their future growth. Our own business operations have been hugely benefited by Infosys Topaz bringing the power of generative AI platforms and data solutions. Today, our clients are building new paths to expand revenue-creating opportunities and grow with Infosys Topaz,” Salil Parekh, CEO and MD, Infosys, said during the launch.

In August 2023, TCS established its AI.Cloud unit to unlock greater business value by harnessing the power of cloud and GenAI. Earlier this year, TCS reorganised its AI.Cloud division into two distinct business units as the company aims for higher growth in the AI cloud business.

Last year, Wipro launched its Lab45 AI platform, which leverages GenAI, machine learning, and deep learning technologies to enable companies to realize enhanced efficiencies, transform business functions, and enable industry-specific solutions.

The Lab45 AI Platform runs on a SaaS (software-as-a-service) model and supports various large language models (LLMs) from leading providers as well as custom deep-learning and other models. With over 1,000 GenAI agents and more than 10 GenAI applications, the platform offers no code and low code pre-built applications for HR, sales, marketing, and operations functions, while also allowing for the easy creation of industry specific GenAI agents and applications.  

Power of Partnerships

Companies are also betting on partnerships to gain competitive advantage in AI. For example, TCS has recently expanded its collaboration with Nvidia to launch industry-specific solutions and offerings that will help customers adopt AI faster and at scale. These solutions and offerings will be delivered through TCS’s new business unit focused on Nvidia, under its AI.Cloud business unit. The new business unit builds on a collaboration with Nvidia for over five years, brings together the complementary capabilities of both organisations and offers tailored offerings for various industries.

Enterprises worldwide are racing to adopt AI but there is no consensus on an AI adoption strategy, according to the recent TCS AI for Business Study. The AI adoption journey for every enterprise is unique and involves an interplay of AI and existing enterprise capabilities. AI adoption at scale requires an intimate understanding of the enterprise and its practices and building AI models that are customized for the context.

To solve this unique challenge, TCS’s new unit was designed to deliver curated AI adoption strategies by leveraging global centres of excellence (CoEs) and investments in the Nvidia AI platform.

“Curated AI journeys are derived at the intersection of deep-domain and deep-tech. This is a space that TCS has excelled at during every business transformation cycle. Our unique vantage point, at the intersection of business and technology, helps us identify the right opportunities for our customers. With the innovative and efficient Nvidia AI platform, and our wide scale and proven track record in delivering value, our customers now have a means to faster value realisation,” said Siva Ganesan, Head, AI.Cloud Unit, TCS.

Similarly, earlier this year, Wipro partnered with Nvidia to launch new agentic AI services to help nations around the globe develop and deploy AI capabilities leveraging their unique infrastructure, data, workforce and business networks to drive innovation, economic growth and sovereignty.

“The offerings leverage AI for local impact by bringing together Wipro’s locally governed AI frameworks powered by Wipro’s WeGA Studio and NVIDIA AI Enterprise software,” Wipro said in a statement.

“There’s a rising demand for ethical AI practices and transparency in AI decision-making processes,” says Nagendra Bandaru, President and Managing Partner, Wipro Technology Services. “Organisations are seeking AI solutions that are not only effective but also ethical and transparent. By working together with Nvidia, we will be able to quickly deploy AI agent systems and technologies while addressing the increased concerns many government agencies and organizations have over data privacy, security, and national sovereignty.”

What Lies Ahead

With the exception of TCS and Accenture, most IT services providers have been cautious about disclosing their AI-specific revenues, primarily because AI is often bundled within larger digital transformation projects rather than being a distinct revenue stream.

“As client expectations for measurable AI-driven results increase and the technology becomes more mainstream, it is anticipated that more firms will start reporting AI-related revenues to highlight their expertise and strengthen their market positioning. In the coming years, transparent AI revenue reporting is likely to become a significant differentiator, as clients demand greater clarity and demonstrable value from their technology partners,” says Mishra of Gartner.

To stand out and succeed in the AI landscape, IT services companies will need to move beyond basic AI adoption. He says that winning will require substantial investments in proprietary AI platforms, the development of deep industry expertise, and the delivery of tailored, industry-specific solutions that address concrete business challenges.

“Differentiation will also hinge on the ability to scale AI implementations, integrate AI solutions with existing legacy systems, and uphold strong data governance and ethical standards. Companies that can deliver measurable business outcomes, drive co-innovation with clients, and continually upskill their workforce in advanced AI technologies will be best positioned to lead as the market continues to evolve,” Mishra added.

Basically, India’s IT services sector is at an inflection point. As clients shift from outsourcing to intelligence, the winners will be those who can combine AI-led innovation, consulting depth, and platform thinking, moving beyond headcount. This shift from labour-led models to intelligence-led outcomes marks a defining moment for the industry. As they navigate this complex transition, success will hinge not only on adopting cutting-edge technologies, but on cultivating trust, agility, and a deep understanding of evolving client needs. The age of AI-first IT services has begun and this is just the beginning!

(The story first appeared in the print version of Entrepreneur India)



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Professor LEON & MYQuant AI

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A New Era of AI-Driven Finance

In today’s global AI race, models such as GPT and DeepSeek are constantly pushing the boundaries of technology. Yet in the complex game of financial markets, the true challenge is not merely about computing power and data, but about understanding human nature, market behavior, and the logic of capital.

Professor Leon Lee Cheng Wei (LEON) — Ph.D. in Economics from a prestigious university, former Senior Strategy Advisor at a leading financial institution in Asia, and Co-Founder of the Asia-Pacific FinTech Think Tank — has spent over two decades navigating both academia and practice. Now, he has chosen a different path:
to create an AI that not only “converses” but can also trade, forecast, and accompany investors.

Journey: From Academia to Live Trading

· LEON delved into behavioral finance and asset pricing models, realizing that “markets are not inefficient, but human nature is the ultimate variable.”

· On Wall Street and the Singapore Exchange, he witnessed the rise of algorithmic trading, but also how investors struggled without rational tools.

· Returning to Malaysia, he made a resolution:

“I want to build an AI that truly understands both markets and investors.”

Thus, MYQuant AI was born.

Beyond GPT and DeepSeek

While GPT and DeepSeek represent general-purpose AI, the mission of MYQuant AI is to become a specialized AI in finance.

· It not only interprets macroeconomic and market data, but also captures the behavioral biases unique to Asia-Pacific markets.

· It not only generates text, but can also simulate decision-making and optimize strategies in real-time trading.

· It is not just a tool, but an investor’s companion and coach.

Professor LEON firmly believes:

“The future of financial AI is not about answering questions, but about growing alongside investors.”

The Fusion of Finance and Artificial Intelligence

The roadmap of MYQuant AI is clear:

· Behavioral Finance + Machine Learning: Reconstructing the “noise of human nature” behind market moves.

· Quantitative Models + AI Decision-Making: Transforming complex trading logic into executable strategies.

· Local Markets + Global Vision: Bridging Malaysia and Southeast Asian investment culture with global capital flows.

This is not merely a model — it is a philosophy:
bringing AI into the market as the most reliable partner for investors in uncertain times.

Conclusion

Today, MYQuant AI is no longer just a research project, but Professor LEON’s “second language.”
Beyond GPT and DeepSeek, it represents another possibility — the deep integration of artificial intelligence and financial markets.

Technology is not just cold computation; it can also be warmth, responsibility, and a guide to wealth creation.

MYQuant’s Vision:

Make investing more rational, markets more transparent, and AI truly serve people.

Contact Info:
Name: Mary
Email: Send Email
Organization: xmyquant
Website: http://www.xmyquant.com

Disclaimer:

This press release is for informational purposes only. Information verification has been done to the best of our ability. Still, due to the speculative nature of the blockchain (cryptocurrency, NFT, mining, etc.) sector as a whole, complete accuracy cannot always be guaranteed.

You are advised to conduct your own research and exercise caution. Investments in these fields are inherently risky and should be approached with due diligence.

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Datadog Inc. (DDOG)’s AI Initiatives Accelerating Growth

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Datadog, Inc. (NASDAQ:DDOG) is one of the best tech stocks to buy for the long term. At Citi’s 2025 Global TMT Conference on September 3, CFO David Obstler reiterated that the company is experiencing robust growth driven by AI-native companies.

Datadog Inc. (DDOG)’s AI Initiatives Accelerating Growth

The robust growth stems from the company’s increasing focus on strategic initiatives in artificial intelligence and cybersecurity. Consequently, AI initiatives have contributed to 10% of the company’s underlying growth. The growth has occurred in eight of the ten largest AI tool companies, which have leveraged their solutions.

In addition, the executive reiterated that Datadog is pursuing growth opportunities in international markets, with a focus on India and Brazil. As part of the expansion drive, Datadog is also integrating new technologies to maintain its competitive edge. Part of the strategy entails enhancing Cloud SIEM, service management, and product analytics.

Datadog, Inc. (NASDAQ:DDOG) is a technology company that provides a cloud-based platform for observability and security. It also offers tools for infrastructure monitoring, application performance monitoring (APM), log management, real-user monitoring, and security.

While we acknowledge the potential of DDOG as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you’re looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.

READ NEXT: 12 Best Consumer Goods Stocks Billionaires Are Quietly Buying and Goldman Sachs Penny Stocks: Top 12 Stock Picks.

Disclosure: None. This article is originally published at Insider Monkey.



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Somalia, Saudi Arabia Sign Pact on AI and Space Technology

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Somalia and Saudi Arabia signed an agreement in Riyadh to cooperate on regulating artificial intelligence and space technology.

The deal was concluded during the Global Symposium for Regulators (GSR-25) by Mustafa Yasin Sheikh, head of Somalia’s National Communications Authority, and Haitham Al-Ohaly, governor of Saudi Arabia’s Communications, Space and Technology Commission.

Officials said the partnership will promote regulatory cooperation, knowledge sharing, and frameworks for responsible growth in AI and space sectors. The two nations also plan to explore infrastructure sharing and broader digital collaboration.

The GSR-25, co-hosted by the International Telecommunication Union and Saudi Arabia, brought together representatives from more than 190 countries to address global digital challenges.



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