This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era!
NetEase Smart News, October 22 — The new version of the film "Blade Runner 2049" has captivated science fiction fans with its anti-Utopian depiction of the future. In this world, machines can self-repair and even fall in love with a virtual life. The movie paints a darker vision of what's to come, where artificial intelligence (AI) might even be capable of creating life.
Oracle CEO Larry Ellison recently highlighted how the job market will evolve in the age of machine learning (ML) and AI. At Oracle Open World Conference, he introduced a new cloud database that emphasizes open sharing of IT resources for ML rather than just fixing security issues or downtime. While the dystopian future shown in Blade Runner 2049 may seem distant, it's not far-fetched to say that we're already taking small steps toward it. Today’s software can predict human behavior and guide decision-making, and Oracle’s new database is designed to learn from data, automate queries, and detect system threats without manual intervention.
Panoply, a cloud-based data warehouse platform, also launched an independent system last year. In an open letter to Larry Ellison, Yanov Leven, CEO of Panoply, noted that Oracle was not the first to bring automated machine learning to the cloud. He emphasized that Panoply has over 100 customers in North America and Europe who have been using their own data warehouse systems for more than a year.
The competition between companies like Oracle and Panoply reflects broader changes in the tech industry. Since the rise of cloud computing and big data, business models have undergone significant transformations. Infosys, one of India's largest IT firms, has also seen leadership changes, with founder Nandan Nilekani returning to steer the company back on track. As Vishal Sikka, former CEO of Infosys, pointed out, simply providing IT services isn’t enough — the real value lies in AI and machine learning.
In the San Francisco Bay Area, companies like ScoreData and Reflektion are leveraging AI and machine learning to solve complex customer problems. For example, ScoreData uses predictive models to help organizations better serve their clients, while Reflektion focuses on understanding user intent to improve engagement. These innovations show how AI is reshaping industries and driving digital transformation.
Machine learning enables machines to perform tasks, while deep learning helps them recognize patterns and adapt over time. Artificial intelligence allows algorithms to evolve continuously. Amar Chokhawala, founder of Reflektion, compared the process to a child becoming aware of the unknown, highlighting the potential of AI to anticipate and respond to user needs.
Indian IT companies are also making strides. Infosys recently launched its AI platform, Infosys Nia, which combines big data analytics, machine learning, and cognitive automation to address complex business challenges. Despite these efforts, cloud technology still accounts for less than 10% of IT revenue in India. However, the shift towards cloud and AI is inevitable, as Gartner predicts a major transformation in the Indian cloud ecosystem by 2020.
For Indian startups, the key is to focus on solving global problems using innovative technology. Manoj Karanth of Mindtree advises companies to adopt a platform-based approach, starting with specific use cases and gradually building up. With the right strategy, Indian companies can move beyond traditional IT services and embrace the future of AI and machine learning.
As the global tech landscape continues to evolve, Indian companies must innovate and adapt to stay competitive. Whether through AI-driven platforms or cloud-based solutions, the future belongs to those who can harness the power of intelligent systems. The path ahead is clear — and the time to act is now.
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