PRNewswire
Bengaluru (Karnataka) [India], September 16: Great Learning (GL), a leading global educational technology company for higher education and vocational training, has launched the "Workforce Skills Evolution Report 2024-25". Based on trends observed among Great Learning client partners across multiple industries and insights from a survey of more than 100 learning and development (L&D) and business unit heads, this report provides a comprehensive view of key trends and forecasts. training for FY25. Synthesizes these insights to illustrate how organizations plan to leverage talent development to drive growth, foster innovation, and build sustainable competitive advantage.
GENERATIVE AI TRAINING REQUIREMENTS FOR ORGANIZATIONS TO EXPAND BEYOND TECHNICAL FUNCTIONS IN FY25Interest in generative AI increased across all sectors in FY24, driven by its potential to improve decision-making, foster innovation and improve competitiveness. In FY25, at least 50% of organizations plan to upskill their teams in generative AI, responding to strong market demand. In particular, companies are prepared to expand GenAI training beyond technical functions , with the aim of including a wider range. of functions to automate repetitive tasks and increase efficiency.
Operations emerged as the leading non-tech function aimed at upskilling GenAI, followed by customer service and human resources. This strategic shift aims to automate repetitive tasks, increase efficiency, and reduce human dependency (which could impact labor costs). Overall, this trend reflects a broader organizational move toward integrating AI-powered solutions to drive innovation and operational improvements across various functions.
OVER 58% OF ORGANIZATIONS REPORT INCREASES IN L&D BUDGETS IN FY25In FY24, four in five companies reported a reduction in hiring costs due to effective development of internal talent. For 64% of these companies, the primary goal of investing in workforce training was to cultivate emerging skills among early-career professionals to drive business growth. Meanwhile, 36% of organizations focused on improving productivity, innovation and creativity to improve overall effectiveness and foster a culture of innovation. Capitalizing on these trends and recognizing the value of a skilled workforce, 58.5% of organizations in India increased their training and development budgets in FY25.
Artificial Intelligence, Data Science and Cybersecurity Remain Top Workforce Training Priorities for FY25
In FY24, Indian companies placed strong emphasis on AI training, Machine learning, Data science, e Data engineering, and 76.6% of companies prioritize these areas. The IT sector led these investments, followed closely by firms specialized in analytics and digital solutions. This focus is expected to continue in FY25 as the survey shows that most organizations plan to increase their investment in employee training in these critical fields. This continued commitment underscores the essential role of data-driven insights and machine learning in advancing business innovation and operational efficiency. For FY25, data science and AIML remain top priorities, particularly in the consulting (44.4%) and energy (41.7%) sectors, underscoring its drive toward strategic decision-making and business innovation. Cybersecurity continues to emerge as a crucial focus area in the BFSI sector in FY25, reflecting the need to protect sensitive data and comply with regulations. It is also important in the IT/ITeS sector due to the large volume of digital transactions and data. Additionally, cloud computing is a key priority in both the IT/ITeS and energy sectors, underscoring the growing importance of scalable and efficient digital infrastructure.
GCCS TRAINS THE WORKFORCE OF THE FUTURE TO BECOME INNOVATION CENTERS
In FY24, Global Capability Centers (GCC) focused their training and development strategies on improving agility and preparing their talent for the future, with a focus on critical areas such as artificial intelligence, machine learning and science of data. As we move into FY25, CCGs will maintain this emphasis on future-ready skills while expanding their training and development initiatives to include emerging technologies such as generative AI, data analytics and cloud computing. This expansion aims to drive global innovation and boost organizational efficiency, positioning CCGs as critical centers of technological advancement and operational excellence. 80% OF TRAINING AND DEVELOPMENT PROGRAMS FOR ENTREPRENEURIAL PROFESSIONALS LASTED 2 TO 12 WEEKS IN THE AF24
More than 80% of training and development initiatives for early-career professionals, particularly in the IT/ITeS, analytics/consulting and BFSI sectors, were structured as 2-12 week programs, with an average of 15 hours of training per week. These programs aimed to bridge the gap between academic learning and industry skills requirements. Meanwhile, more than 67% of training for mid- and senior-level executives in manufacturing and retail/e-commerce focused on data-driven decision making and technical skills, typically requiring only a few hours per week to avoid interrupting productivity. For senior leaders, companies preferred 1-3 day capsule workshops that combined new technology training with leadership development.
Commenting on the report, Ritesh Malhotra, Chief Business Officer at Great Learning, said: "The report underlines a unanimous shift towards developing an adaptable workforce and away from a one-size-fits-all approach to training. Organizations now recognize that Generative AI training is crucial to achieving business objectives at all levels of employees. By extending this training beyond traditional technology roles, companies are taking a strategic approach to training and development that allows their workforce to optimize processes. , automate routine tasks and drive innovation more effectively, resulting in significant cost savings Today, Global Capability Centers (GCCs) are evolving from mere recipients of change to active enablers of change. They are investing heavily in training for cutting-edge technologies such as generative AI, data analytics and cloud computing to drive global innovation. improve organizational efficiency."About great learning
Great Learning is a leading global educational technology company for professional learning and higher education. It offers practical, comprehensive and industry-relevant learning programs in various business, technological and interdisciplinary domains that drive the digital economy. These programs are developed and offered in collaboration with the world's leading academic institutions in various formats, such as certificate programs (ranging from 3 to 11 months), online degrees, and hybrid degrees. Great Learning is able to leverage the highly qualified and world-class faculty of these universities along with their extensive network of over 7,000 industry expert mentors to provide an unmatched learning experience to over 11 million students from over 170 countries in the world. everyone.
Great Learning for Business, the business arm of Great Learning, helps partner organizations build competencies in emerging skills at scale. His consultative approach and experiential learning resonate across sectors such as IT/ITES, BFSI, GCC, Consulting & Analytics, E-Commerce and others. Delivers industry-built and industry-focused talent transformation solutions, enabling organizations to achieve their business goals.Media Contact:
Navami Ajay
[email protected]Photo: https:/ /mma.prnewswire.com/media/2506114/Generative_AI_Training.jpg
Logo: https://mma.prnewswire.com/media/1458111/4243541/Great_Learning_Logo.jpg
Bengaluru (Karnataka) [India], September 16: Great Learning (GL), a leading global educational technology company for higher education and vocational training, has launched the "Workforce Skills Evolution Report 2024-25". Based on trends observed among Great Learning client partners across multiple industries and insights from a survey of more than 100 learning and development (L&D) and business unit heads, this report provides a comprehensive view of key trends and forecasts. training for FY25. Synthesizes these insights to illustrate how organizations plan to leverage talent development to drive growth, foster innovation, and build sustainable competitive advantage.
GENERATIVE AI TRAINING REQUIREMENTS FOR ORGANIZATIONS TO EXPAND BEYOND TECHNICAL FUNCTIONS IN FY25Interest in generative AI increased across all sectors in FY24, driven by its potential to improve decision-making, foster innovation and improve competitiveness. In FY25, at least 50% of organizations plan to upskill their teams in generative AI, responding to strong market demand. In particular, companies are prepared to expand GenAI training beyond technical functions , with the aim of including a wider range. of functions to automate repetitive tasks and increase efficiency.
Operations emerged as the leading non-tech function aimed at upskilling GenAI, followed by customer service and human resources. This strategic shift aims to automate repetitive tasks, increase efficiency, and reduce human dependency (which could impact labor costs). Overall, this trend reflects a broader organizational move toward integrating AI-powered solutions to drive innovation and operational improvements across various functions.
OVER 58% OF ORGANIZATIONS REPORT INCREASES IN L&D BUDGETS IN FY25In FY24, four in five companies reported a reduction in hiring costs due to effective development of internal talent. For 64% of these companies, the primary goal of investing in workforce training was to cultivate emerging skills among early-career professionals to drive business growth. Meanwhile, 36% of organizations focused on improving productivity, innovation and creativity to improve overall effectiveness and foster a culture of innovation. Capitalizing on these trends and recognizing the value of a skilled workforce, 58.5% of organizations in India increased their training and development budgets in FY25.
Artificial Intelligence, Data Science and Cybersecurity Remain Top Workforce Training Priorities for FY25
In FY24, Indian companies placed strong emphasis on AI training, Machine learning, Data science, e Data engineering, and 76.6% of companies prioritize these areas. The IT sector led these investments, followed closely by firms specialized in analytics and digital solutions. This focus is expected to continue in FY25 as the survey shows that most organizations plan to increase their investment in employee training in these critical fields. This continued commitment underscores the essential role of data-driven insights and machine learning in advancing business innovation and operational efficiency. For FY25, data science and AIML remain top priorities, particularly in the consulting (44.4%) and energy (41.7%) sectors, underscoring its drive toward strategic decision-making and business innovation. Cybersecurity continues to emerge as a crucial focus area in the BFSI sector in FY25, reflecting the need to protect sensitive data and comply with regulations. It is also important in the IT/ITeS sector due to the large volume of digital transactions and data. Additionally, cloud computing is a key priority in both the IT/ITeS and energy sectors, underscoring the growing importance of scalable and efficient digital infrastructure.
GCCS TRAINS THE WORKFORCE OF THE FUTURE TO BECOME INNOVATION CENTERS
In FY24, Global Capability Centers (GCC) focused their training and development strategies on improving agility and preparing their talent for the future, with a focus on critical areas such as artificial intelligence, machine learning and science of data. As we move into FY25, CCGs will maintain this emphasis on future-ready skills while expanding their training and development initiatives to include emerging technologies such as generative AI, data analytics and cloud computing. This expansion aims to drive global innovation and boost organizational efficiency, positioning CCGs as critical centers of technological advancement and operational excellence. 80% OF TRAINING AND DEVELOPMENT PROGRAMS FOR ENTREPRENEURIAL PROFESSIONALS LASTED 2 TO 12 WEEKS IN THE AF24
More than 80% of training and development initiatives for early-career professionals, particularly in the IT/ITeS, analytics/consulting and BFSI sectors, were structured as 2-12 week programs, with an average of 15 hours of training per week. These programs aimed to bridge the gap between academic learning and industry skills requirements. Meanwhile, more than 67% of training for mid- and senior-level executives in manufacturing and retail/e-commerce focused on data-driven decision making and technical skills, typically requiring only a few hours per week to avoid interrupting productivity. For senior leaders, companies preferred 1-3 day capsule workshops that combined new technology training with leadership development.
Commenting on the report, Ritesh Malhotra, Chief Business Officer at Great Learning, said: "The report underlines a unanimous shift towards developing an adaptable workforce and away from a one-size-fits-all approach to training. Organizations now recognize that Generative AI training is crucial to achieving business objectives at all levels of employees. By extending this training beyond traditional technology roles, companies are taking a strategic approach to training and development that allows their workforce to optimize processes. , automate routine tasks and drive innovation more effectively, resulting in significant cost savings Today, Global Capability Centers (GCCs) are evolving from mere recipients of change to active enablers of change. They are investing heavily in training for cutting-edge technologies such as generative AI, data analytics and cloud computing to drive global innovation. improve organizational efficiency."About great learning
Great Learning is a leading global educational technology company for professional learning and higher education. It offers practical, comprehensive and industry-relevant learning programs in various business, technological and interdisciplinary domains that drive the digital economy. These programs are developed and offered in collaboration with the world's leading academic institutions in various formats, such as certificate programs (ranging from 3 to 11 months), online degrees, and hybrid degrees. Great Learning is able to leverage the highly qualified and world-class faculty of these universities along with their extensive network of over 7,000 industry expert mentors to provide an unmatched learning experience to over 11 million students from over 170 countries in the world. everyone.
Great Learning for Business, the business arm of Great Learning, helps partner organizations build competencies in emerging skills at scale. His consultative approach and experiential learning resonate across sectors such as IT/ITES, BFSI, GCC, Consulting & Analytics, E-Commerce and others. Delivers industry-built and industry-focused talent transformation solutions, enabling organizations to achieve their business goals.Media Contact:
Navami Ajay
[email protected]Photo: https:/ /mma.prnewswire.com/media/2506114/Generative_AI_Training.jpg
Logo: https://mma.prnewswire.com/media/1458111/4243541/Great_Learning_Logo.jpg
