The adoption of Artificial Intelligence in India has been increasing steadily, with several sectors like healthcare, retail, BFSI, manufacturing, and e-commerce taking the lead. A significant portion of Indian businesses are either currently investing or considering the potential of investing in AI, Machine Learning, and advanced analytics to fuel their innovation and growth.
Manish Gupta, Vice President, Infrastructure Solutions Group, Dell Technologies India, said: “AI is instrumental in simplifying crucial business processes, bolstering analytics, enhancing the value chain, and driving cost-effective business operations while improving customer experience.” For businesses with a digital-first approach, AI has become an indispensable component of their growth strategy.
Gupta stressed the importance of an effective AI strategy that transitions from being AI-possible to AI-proven, and incorporates technology, people, and processes. “AI, when complemented with automation and security, has the potential to expedite digital transformation, resulting in faster time-to-market, improved customer experiences, and unparalleled efficiency,” he said.
Nevertheless, the successful integration of AI necessitates a robust IT infrastructure, a solid network architecture, and a data framework capable of supporting the large-scale development and deployment of AI models. AI automation and operation platforms can help resolve business issues and guide projects from inception to production.
A significant number of organisations plan to amplify their investments in AI, including aspects such as people, processes, and technology. By overcoming challenges and adhering to best practices, such as identifying clear objectives, selecting appropriate AI tools, and continually monitoring performance, organizations can create an AI strategy that delivers genuine business value while mitigating risks and ensuring ethical usage of the technology.
The emergence of Generative AI, according to Gupta, presents exciting prospects. “Generative AI can offer opportunities for higher-level decision making. It allows businesses to reach more customers effectively, improves workplace outcomes, and has significant potential to automate complex processes, enhance customer interactions, and unlock new possibilities with better machine intelligence,” he said.
