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AI Training Now a Priority for At Least 50% of Enterprises; Expanding Initiatives to Business and Support Teams Reveals Great Learning’s Report

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Four out of five companies experienced reduced hiring costs in FY24 due to effective internal talent development64% focused on developing emerging skills in early-career professionals to drive business growthLooking ahead, organisations are continuing to prioritise training in Artificial Intelligence, Data Science, and Cyber Security, reflecting the ongoing demand for these critical skills

BANGLORE, India, Sept. 16, 2024 /PRNewswire/ — Great Learning (GL), a leading global edtech company for higher education and professional training, has released the “Workforce Skills Evolution Report 2024-25”. Based on trends observed among Great Learning’s client partners across various sectors and insights from a survey of over 100 learning and development (L&D) and business unit heads, this report offers a comprehensive look at key training trends and forecasts for FY25. It synthesises these insights to illustrate how organisations plan to harness talent development to drive growth, foster innovation, and build a sustainable competitive advantage.

GENERATIVE AI TRAINING REQUIREMENTS FOR ORGANISATIONS TO EXPAND BEYOND TECHNICAL ROLES IN FY25

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. Notably, enterprises are set to broaden GenAI training beyond technical roles, aiming to include a wider array of functions to automate repetitive tasks and boost efficiency.

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.

OVER 58% OF ORGANISATIONS REPORT INCREASED L&D BUDGETS IN FY25

In FY24, four out of five companies reported reduced hiring costs due to effective internal talent development. For 64% of these enterprises, the main goal of investing in workforce training was to cultivate emerging skills among early-career professionals to fuel business growth. Meanwhile, 36% of organisations focused on enhancing productivity, innovation, and creativity to improve overall effectiveness and foster a culture of innovation. Building on these trends and recognising the value of a skilled workforce, 58.5% of organisations in India have increased their L&D budgets in FY25.

AI, Data Science, and Cyber Security Remain Top Workforce Training Priorities for FY25

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. This ongoing 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 their drive for strategic decision-making and business innovation. Cyber Security 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 significant in the IT/ITeS sector due to the extensive 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 SHAPING FUTURE WORKFORCE TO BECOME INNOVATION HUBS

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.

80% OF L&D PROGRAMS FOR EARLY-CAREER PROFESSIONALS LASTED 2-12 WEEKS IN FY24

More than 80% of L&D 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 skill requirements. Meanwhile, over 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 just a few hours per week to avoid disrupting productivity. For senior leaders, enterprises preferred 1-3 day capsule workshops that combined new technology training with leadership development.

Commenting on the report, Ritesh Malhotra, Enterprise Head at Great Learning, stated, “The report underscores a unanimous shift towards developing an adaptable workforce and moving away from a one-size-fits-all approach to training. Organisations now recognise that Generative AI training is crucial for achieving business objectives across all employee levels. By extending this training beyond traditional tech roles, companies are adopting a strategic L&D approach that enables their workforce to streamline processes, automate routine tasks, and drive innovation more effectively, resulting in significant cost savings. Today, Global Capability Centers (GCCs) are evolving from being mere recipients of change to active enablers of it. They are investing heavily in training for cutting-edge technologies like Generative AI, Data Analytics, and Cloud Computing to fuel global innovation and enhance organisational efficiency.”

About Great Learning

Great Learning is a leading global ed-tech company for professional learning and higher education. It offers comprehensive, industry-relevant, hands-on learning programs across various business, technology, and interdisciplinary domains driving the digital economy. These programs are developed and offered in collaboration with the world’s foremost academic institutions in various formats such as – certificate programs (ranging from 3-11 months), online degrees as well as hybrid degrees. Great Learning is able to leverage the highly qualified, world-class faculty at these universities together with its vast network of 7000+ industry expert mentors to deliver an unmatched learning experience for over 11 million learners from over 170 countries around the world.

Great Learning for Business, the enterprise arm of Great Learning, helps partner organisations build proficiencies in emerging skills at scale. Its consultative approach and experiential learning resonate with sectors like IT/ITES, BFSI, GCCs, Consulting & Analytics, e-commerce, and others. It offers talent transformation solutions that are industry-created and industry-focused, empowering organisations to achieve their business goals.

MEDIA CONTACT:
Navami Ajayan
navami.ajayan@greatlearning.in

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In Turfan, Xinjiang, China’s first commercially operated microgrid has generated nearly 100 million kWh of electricity

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TURFAN, China, Nov. 15, 2024 /PRNewswire/ — On November 13, the Turfan New Energy City Microgrid Demonstration Project, China’s first commercially operated microgrid demonstration project, generated nearly 100 million kWh of electricity, equivalent to saving 29,000 tons of standard coal and reducing carbon dioxide emissions by 77,600 tons.

A microgrid refers to a small-scale power generation and distribution system organized by distributed power sources, power loads, distribution facilities, monitoring and protection devices, etc., which can realize flexible control and autonomous management. Since the end of 2013, the project had been the largest and most comprehensive solar energy utilization and building integration project in China up to that time, with 8.7 MW of photovoltaic power installed on the roofs of 223 residential buildings, generating an annual power capacity of about 10 million kWh.

To promote the physical operation of the project, the State Grid Turfan Power Supply Company invested more than 2 million yuan to cooperate in the construction of microgrid infrastructure, fully supporting the online operation of surplus new energy power generation, promoting the comprehensive utilization of renewable resources in urban buildings, and helping Turfan build a high-quality development demonstration area and a green and low-carbon pilot area.

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SOURCE State Grid Turfan Power Supply Company

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Innovations in Guiyang: Adhering to New Industrialization and Promoting High-End, Intelligent and Green Manufacturing

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GUIYANG, China, Nov. 15, 2024 /PRNewswire/ — A report by Huanqiu.com

The wave of new industrialization in Guiyang is driving the transformation and upgrading of the manufacturing industry in ways like never before. Guiyang is always strategically oriented toward “industrial structure optimization with a focus on industries”, and has made all efforts to develop “four major industrial bases”, highlighting its industrial economy as the “primary driving force” behind development. Especially relying on its policy edge in renewable energy, Guiyang has rapidly emerged as a national new-energy power battery and materials research, development and production center, injecting strong momentum into the city’s economy.

In October 2023, the CATL (Guizhou) New Energy Power and Energy Storage Battery Production Base, located in Gui’an New Area, Guizhou Province, was put into production. The first phase of the base boasts cutting-edge design standards, characterized by “lighthouse + zero carbon factory”. The high-standard facility employs advanced, high-speed, highly automated, and flexible production lines. It is designed to have an annual production capacity of 30 GWh. After the base achieves the designed production capacity, its annual output value is expected to reach 15 billion yuan. According to statistics, the base realized an industrial output value of 618 million yuan in the first half of 2024, and the year’s industrial output value is expected at about 2 billion yuan.

The Chery (Guizhou) industrial base has also yielded unusually brilliant results in the field of new energy vehicles (NEVs), where Chery Automobile’s self-developed “CHEVOO” new-generation light truck KL71 project is undergoing four-pillar car road tests. The advanced pressing, welding, painting and assembly lines, as well as the R&D lab and the all-electric truck production line, together constitute this “digital intelligent” NEV factory. Moreover, the Chery (Guizhou) industrial base has built, extended and strengthened its vehicle manufacturing industry chain so as to master key parts supply chains and reduce development costs.

The Gui’an FinDreams battery project, as an important move of BYD in Guiyang, is also showing its strength in power batteries for NEVs. FinDreams Battery Co., Ltd. at Longshan Industrial Park in Gui’an New Area has four automatic production lines that are operating at high speeds in the workshop, which produce “blade batteries” which are well-known both in and out of the industry. According to reports, 300 battery packs and 40,000 cells can be produced per day.

Guiyang’s “four bases” – a new energy vehicles and battery materials production base, a resource deep-processing base, a computing power assurance base, and an industrial backup base, contribute greatly to the development of NEV and battery materials industry, electronic information manufacturing industry, and advanced equipment manufacturing industry, etc. Data show that in the first three quarters, the added value of Guiyang’s industrial enterprises above designated size grew by 11%, and the contribution of industrial economy to economic growth reached 39.4%.

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Premialab appointed by Lombard Odier Investment Managers to scale Quantitative Investment Strategies

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Premialab’s technology chosen to enhance QIS scaling, operational efficiency, and risk management.

PARIS, Nov. 15, 2024 /PRNewswire/ — Lombard Odier Investment Managers (LOIM), the institutional asset management business of the Lombard Odier Group, has integrated Premialab‘s industry-leading technology to support the management of their soon-to-be-launched DOM Global Macro strategy. This partnership underscores LOIM’s commitment to onboard innovative strategies in an evolving market landscape.

“Our decision to partner with Premialab is driven by their comprehensive risk management and regulatory compliance expertise,” said Didier Anthamatten, Portfolio Manager at LOIM. “With a strong track record in alternative investments, LOIM remains focused on delivering innovative investment solutions and high-quality returns for our clients. Premialab’s advanced data capabilities are essential in helping us maintain our rigorous standards and provide robust, risk-adjusted performance. Additionally, their platform perfectly matches the DOM Global Macro strategy’s needs, enhancing our risk monitoring capabilities and streamlining portfolio management.”

The DOM Global Macro strategy expects to leverage Premialab’s unique dataset. The full lookthrough across all DOM’s proprietary systematic strategies allows granular risk decomposition and scenario-based analysis at the entire portfolio level. This should help monitoring exposures’ attractiveness, from both time-series and cross-sectional perspectives, and optimizing asset allocation.

Neil Richards, Head of EMEA Business Development at Premialab, said the collaboration with LOIM is a significant addition to Premialab’s growing business in Switzerland and within the wider European markets.

“Institutions such as LOIM, which oversees a substantial portfolio across various asset classes, need continuous monitoring and adjustment to keep their investments on track,” he explained. “Premialab provides the tools for benchmarking and stress testing their systematic investments, ensuring that LOIM’s mandates are effectively managed in terms of cost, risk, and value.”

Premialab CEO Adrien Géliot highlighted that the QIS sector is experiencing rapid growth, driven by institutional investors seeking liquid, transparent, and cost-efficient investment strategies. “Premialab sits at the centre of the QIS landscape, uniquely positioned to aggregate and make sense of the vast and growing universe of data,” he stated. “We are thrilled to be partnering with LOIM to deliver our unique data and risk monitoring capabilities to one of the top global investment firms.”

Premialab’s multi-asset, multi-region platform handles 10 million data points daily. It analyzes over 5,000 investible systematic strategies, with client assets under management totalling approximately USD $20 trillion. Combining the Premialab platform with Premialab Pure Factors®, it provides comprehensive cross-asset quantitative strategy selection and thorough due diligence on strategies available worldwide. Additionally, the platform enhances risk management and reporting capabilities, including expedited and detailed regulatory reporting.

With its unique combination of systematic strategies and discretionary trading, the DOM Global Macro strategy clearly benefits from Premialab’s state-of-the art data analysis capabilities and computational efficiency. The Portfolio and Risk Managers can thus use a shared dataset for risk analysis and performance decomposition, enhancing the portfolio’s robustness and operational efficiency.

About Premialab
Premialab is the leading independent platform that collaborates with leading investment banks and institutional investors globally, providing data, analytics, and risk solutions for systematic, factor, and multi-asset strategies. With offices in London, Paris, New York, Hong Kong, Dubai and Sydney, the company has forged strong partnerships with the top 18 investment banks, asset managers, pension funds, sovereign wealth funds and insurance companies globally.

About Lombard Odier Investment Managers (LOIM)
Lombard Odier Investment Managers (LOIM) is the institutional asset management business of the Lombard Odier Group, wholly owned and funded by its partners since its establishment in 1796.

We provide a range of investment solutions to a diverse group of long-term oriented clients. Our heritage, and our combination of the best of conservatism and innovation, keeps us well positioned to create lasting value for our clients. Our investment capabilities span fixed income, convertible bonds, equities, multi-asset, and alternatives. Sustainability is central to our investment philosophy; we believe it is the founding principle of long-term economic and investment outcomes and will drive returns over the long term.

With over 200 investment professionals, we are a global business with a network of 13 offices across Europe, Asia and North America and have assets under management of CHF 64 billion (as at 31 September 2024).

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