TCS, a leading IT services company, is revolutionizing the way businesses operate with its cutting-edge AI-powered solutions. The company’s CEO, N Chandrasekaran, shared his vision for the future of AI in business with a group of analysts, highlighting the potential of AI to transform industries and improve customer experiences.
AI for IT: A Preliminary Focus
While many companies have been focusing on applying AI to IT systems to improve productivity and reduce costs, TCS’s CEO emphasized that the company is also exploring the potential of AI for business. “AI for IT” is a critical step in the journey, but “AI for business” is gaining traction and momentum, he said.
Examples of AI Projects
TCS is working on several exciting AI projects that aim to improve customer experiences, speed, and efficiency. Here are a few examples:
- A large North American utility company is using TCS’s machine learning-based model to improve a manual inspection process involving 5000+ circuits, 50,000 circuit mains, and more than 1.6 million individual trees around that infrastructure. The model combines data from sources such as LiDAR, satellite imagery, weather patterns, vegetation characteristics, wildfire incidents, and more.
- A European energy and digital services company is using TCS’s AI solutions to aid decarbonisation efforts, provide faster audits of client energy consumption data, access multilingual fire safety protection standards, review contracts, and provide risk-related recommendations.
- TCS is building a generative AI-based movie script analyser for a global OTT and big tech company to surface insights based on viewership data, movie scripts, and content.
Agentic AI and Supply Chain Insights
TCS is deploying agentic AI to design a unified supply chain insights provider for a US biopharma client, providing self-service access to holistic insights tapping multiple sources, including structured and unstructured data sets and new articles.
Improving Software Engineering
TCS is also using AI to improve software engineering by applying it to project outcomes and quality. “Over a third of our client engagements use AI/GenAI for accelerated project outcomes and high-quality software,” the company said in its earnings press release.
Generative AI and Legacy Code Migration
TCS is using a combination of generative AI and its proprietary solution Mastercraft to migrate over 50 million lines of COBOL code to Java for a global financial services company.
Real-World Deployments
While the size and scope of most of these projects seem to be limited, clients are looking to go beyond experimentation and pilots into real-world deployments. The company is also exploring ways to share gains from AI with clients and fund AI projects from savings generated from other deployments.
Challenges and Opportunities
TCS’s clients’ IT budgets remain “flat”, the CEO said, and they are finding money for incremental tech upgrades only via savings from ongoing projects. However, the company sees opportunities to “gain steam” in traditional outsourcing work, helping customers reduce their “technology debt” (modernising their IT systems with new, often cloud-based software).
Conclusion
TCS’s journey with AI-powered business solutions is just beginning, and the company is poised to revolutionize the way businesses operate. As AI continues to gain traction and momentum, we can expect to see more innovative solutions and applications of AI in business.
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