In the era of artificial intelligence, can Indian IT follow the footsteps of the United States?
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[Netease Smart News, October 22] The new version of the film "Blade Runner 2049" has captured the imagination of sci-fi fans with its bleak portrayal of a futuristic world. In this vision, machines can self-repair and even fall in love with virtual life. The movie paints a darker future where artificial intelligence (AI) may even create life.
Oracle CEO Larry Ellison once stated that the job market will change significantly in the age of machine learning (ML) and AI. Recently, Oracle introduced an advanced cloud database at the Oracle Open World Conference, emphasizing the shift of IT resources toward ML rather than just managing security threats or database downtime. While the dystopian future shown in "Blade Runner 2049" seems far off, it's not too far-fetched to say it's a small step that could soon become a major leap for humanity. Today’s software already helps humans make better decisions, and Oracle’s new database continues to learn from data, automate queries, and detect system vulnerabilities without human intervention. Other companies, like Panoply, have also developed independent cloud-based platforms for data processing.
In an open letter to Larry Ellison, Yanov Leven, CEO of Panoply, pointed out that Oracle wasn’t the first to bring automated machine learning to the cloud. He emphasized that Panoply has been offering such solutions for over a year and serves more than 100 customers across North America and Europe. This isn’t just a rivalry between two giants but a reflection of a broader industry transformation that began with the rise of cloud computing and big data around 2010-2011.
Infosys, one of India’s leading IT firms, has also undergone significant changes. With the return of co-founder Nandan Nilekani, the company is refocusing on innovation. Former CEO Vishal Sikka highlighted that while traditional IT services are profitable, real opportunities lie in AI and machine learning. As the IT industry becomes more commoditized, companies must evolve and offer platforms that leverage AI and deep learning to process data efficiently.
In the San Francisco Bay Area, tech companies like Facebook, ScoreData, and Reflektion are pushing the boundaries of AI. Facebook has built an entire AI team focused on improving customer interactions and developing features like facial recognition. Meanwhile, startups like ScoreData use machine learning to help organizations better serve their clients by analyzing customer behavior and transaction history.
Machine learning allows systems to perform tasks, while deep learning enables them to recognize patterns and adapt over time. Artificial intelligence takes it a step further by continuously refining algorithms. Amar Chokhawala of Reflektion explained that AI is like a child learning about the unknown and potential risks. His company uses these technologies to predict user intent and improve customer engagement.
In India, SaaS and chatbots are becoming increasingly popular, but many rely on rule-based systems that require constant human oversight. Naganand Doraswamy of Ideagan Capital advises Indian startups to focus on solving real-world problems using technology that delivers clear value to customers.
Despite challenges, Indian IT companies are adapting. Infosys recently launched its AI platform, Infosys Nia, combining big data analytics, machine learning, and cognitive automation to tackle complex business challenges. According to Ravi KumarS, Infosys will continue investing heavily in AI to streamline operations and drive business growth.
Gartner predicts that by 2020, cloud adoption will affect more than half of IT outsourcing deals, with the SaaS market growing to $75 billion. As AI and machine learning become more integrated into cloud infrastructure, they will play a key role in transforming the industry.
For Indian companies, the path forward involves adopting a platform-based approach, focusing on data-driven decision-making, and building scalable solutions. Manoj Karanth of Mindtree suggests starting with specific use cases, gradually improving data quality, and leveraging cloud-based architectures to optimize costs.
However, the industry still faces challenges. Indian IT stocks have struggled due to a lack of innovation, with shares of companies like Infosys and Wipro dropping over the past year. This highlights a shift in investor expectations, pushing companies to innovate globally.
While the U.S. entrepreneurial ecosystem thrives on widespread tech adoption, India has a strong engineering base and the potential to develop solutions tailored to local needs. Startups must overcome two major hurdles: securing business from domestic companies and ensuring payment for their services. Vasudev Bhandarkar of ScoreData emphasizes that early success in pilot projects is crucial for long-term growth.
It’s time for India to move beyond Western influence and focus on AI and machine learning from a local perspective. By doing so, the country can shape its own future in the tech industry without being controlled by global trends.
(From: Yourstory by Vishal Krishna | Translation: NetEase See Compiler Robot Review: Sarah)
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