In FY24, Indian enterprises placed a strong emphasis on training in AI, Machine Learning, Data Science, and Data Engineering, with 76.6% of companies prioritising these areas. The IT sector led these investments, closely followed by firms specialising in analytics and digital solutions. This focus is expected to continue in FY25, as the survey shows that most organisations plan to increase their investment in training employees in these critical fields.
For FY25, Data Science and AIML remain top priorities, particularly in the Consulting (44.4%) and Energy (41.7%) sectors, underscoring their drive for strategic decision-making and business innovation.
Also read: Over 58% of Organisations Report Increased L&D Budgets in FY25: Report
Interest in Generative AI surged across sectors in FY24, driven by its potential to enhance decision-making, foster innovation, and improve competitiveness. In FY25, at least 50% of organisations plan to advance their teams’ skills in Generative AI, responding to strong market demand.
Operations emerged as the leading non-tech function targeted for GenAI upskilling, followed by Customer Service and Human Resources. This strategic shift aims to automate repetitive tasks, boost efficiency, and reduce human dependency (potentially impacting labour costs). Overall, this trend reflects a broader organisational move towards integrating AI-powered solutions to drive innovation and operational improvements across various functions.
In FY24, Global Capability Centres (GCCs) concentrated their L&D strategies on enhancing agility and future-proofing their talent, with a focus on critical areas such as AI, Machine Learning, and Data Science. As we move into FY25, GCCs are set to maintain this emphasis on future-ready skills while broadening their L&D initiatives to include emerging technologies like Generative AI, Data Analytics, and Cloud Computing. This expansion aims to drive global innovation and boost organisational efficiency, positioning GCCs as pivotal hubs of technological advancement and operational excellence.
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