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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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From China Mobile’s Call Upgrade to the Commercial Launch of “Calling + AI” by Leading Operators: AI Is Reshaping the Value of Native Calling

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BEIJING, July 25, 2026 /PRNewswire/ — On June 15, 2026, China Mobile announced a comprehensive upgrade to its traditional calling services, ushering in a next-generation calling experience defined by HD, intelligence, and security. This milestone not only marks a major leap in telecommunication innovation but also reflects a global, inevitable shift: the transformation of basic communication into intelligent, inclusive services.

Breaking Experience Barriers and Redefining the Paradigm of Basic Calling

Overcoming the limitations of traditional, voice-only interactions, China Mobile has leveraged its mature VoLTE/VoNR network foundation to deeply integrate AI models with HD audio and video capabilities. Without requiring users to change their phones or SIM cards, seven core AI functions are now seamlessly embedded into the native dialer interface.

These upgrades include Live Captions bridge communication gaps for the elderly and hearing-impaired; HD video calls and AI noise reduction create a crystal-clear, immersive calling experience; AI anti-fraud intercepts high-risk calls in real time to safeguard users’ assets. Furthermore, the introduction of Data Channel (DC) technology and visual call menus transforms standard calls into agile, interactive service windows, enabling multi-party collaboration and seamless business transactions directly within the call. Through this initiative, China Mobile has successfully evolved traditional calls from a mere voice pipeline into a secure, integrated information hub.

“Calling + AI” Becomes a Strategic Consensus Among Global Leading Operators

From a global perspective, China Mobile’s call upgrade is not an isolated milestone, but a microcosm of the global telecommunications industry’s broader transformation. Throughout 2026, major operators worldwide are accelerating the commercial deployment of “Calling + AI” solutions:

Deutsche Telekom launched Magenta AI, leveraging artificial intelligence to enhance calling across all scenarios;T-Mobile US introduced a network-side, real-time translation service covering over 80 languages, effectively breaking down cross-border communication barriers;Saudi stc rolled out English-Arabic bilingual simultaneous interpretation, which has now entered large-scale commercial trials;South Korea’s LG U+ launched its ixi-O intelligent calling assistant, shifting the user experience from passive responses to proactive smart interactions and earning three prestigious GLOMO industry awards.

The synchronized efforts of these global leaders confirm that basic calling services have officially entered a new era of AI integration. Deeply empowered by artificial intelligence, “Calling + AI” has become the definitive blueprint for the intelligent transformation of the global telecommunications industry. As operators continue to refine these native capabilities, the traditional voice network is poised to reclaim its position as the most secure, ubiquitous, and valuable entry point in the AI era.

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SOURCE China Mobile

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Trip.com Group Sincerely Accepts Administrative Penalty Decision Issued by the State Administration for Market Regulation of the People’s Republic of China

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SINGAPORE, July 25, 2026 /PRNewswire/ — Trip.com Group Limited (Nasdaq: TCOM; HKEX: 9961) today announced that it has received the administrative penalty decision issued by the State Administration for Market Regulation of the People’s Republic of China.

Trip.com Group sincerely accepts the decision and will adopt rectification measures in accordance with applicable laws and regulations to implement the decision’s requirements. The Company will strengthen its long-term governance mechanisms and strive to contribute to the sustainable development of the travel industry.

Trip.com Group’s management team will host a conference call at 8:00 AM U.S. Eastern Time on July 27, 2026 (or 8:00 PM Hong Kong Time on July 27, 2026).

The conference call will be available on Webcast live at: http://investors.trip.com.

All participants must pre-register to join this conference call using the participant registration link below:
https://register-conf.media-server.com/register/BIb78e08d8f18340c4882a7e4ab961906b.

Upon registration, each participant will receive details for this conference call, including dial-in numbers and a unique access PIN. To join the conference, please dial the number provided, enter your PIN, and you will join the conference instantly.

For further information, please contact:
Investor Relations
Trip.com Group Limited
Email: iremail@trip.com

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SOURCE Trip.com Group Limited

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NAVER Partners with Brookfield and NVIDIA to Expand Korea’s National AI Factory Infrastructure Buildout

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SAN FRANCISCO, July 25, 2026 /PRNewswire/ — NAVER, Brookfield and NVIDIA announced an expansion of Korea’s sovereign AI factory infrastructure. New investments will increase the initial NVIDIA DSX™ AI factory deployment from 55 megawatts to 200 megawatts.

Announced during Korea President Jae Myung Lee’s AI Summit visit to San Francisco, the planned 200-megawatt expansion will be built with the NVIDIA DSX platform at NAVER’s GAK Sejong hyperscale data center in Sejong, South Korea. The expanded infrastructure will provide Korea- and U.S.- based AI innovators with access to production-scale AI compute for building next-generation models, agents and AI-powered services.

Under the terms of the agreements, Brookfield will fund up to $9 billion as the exclusive capital partner, NVIDIA will invest $1 billion and NAVER will fund the remaining amount to finance the $10 billion project.

This builds on NAVER’s June announcement to extend its GAK Sejong data center with NVIDIA DSX, with a long-term path to gigawatt-scale sovereign AI infrastructure serving Korea’s enterprises, industries, government organizations and global AI cloud customers. Combining Brookfield’s capital with NVIDIA’s computing platform, the investment supports NAVER’s AI factory deployment.

“NVIDIA’s strategic investment and our infrastructure supply agreement with Brookfield have propelled NAVER’s vision for the AI Factory business into a robust execution phase,” said Haejin Lee, Founder and Chairman of NAVER. “Leveraging the solid partnerships with our global partners, we will drive technological innovation, foster a sovereign AI ecosystem, and spearhead efforts to strengthen South Korea’s AI competitiveness.” 

AI Factory Expansion and Open Model Collaboration to Fuel AI Innovators

NAVER, as an NVIDIA Cloud Partner, provides deep expertise in operating hyperscale infrastructure powered by the full-stack NVIDIA AI platform. The 200-megawatt AI factory, featuring NVIDIA Vera Rubin and Blackwell platforms, will establish a dedicated resource pool for emerging AI companies, providing the compute, software and support needed to develop and deploy competitive AI models and applications at scale.

This expanded infrastructure also builds on NAVER and NVIDIA’s collaboration on open model development for agentic and physical AI. NAVER is advancing its HyperCLOVA X models to be based on NVIDIA Nemotron™ 3 Ultra open models with its proprietary data and training expertise. NAVER is also the first Korean company to join the NVIDIA Nemotron Coalition, contributing to open model development across pretraining, post-training and reinforcement learning.

NAVER plans to launch an AI agent platform in Korea in the second half of the year, powered by NVIDIA Agent Toolkit software including NVIDIA NemoClaw™ blueprints. NAVER is also developing a Seoul World Model using proprietary urban street-view and spatial modeling data, built on NVIDIA Cosmos™ world foundation models.

About NAVER

Founded in 1999, NAVER is Korea’s largest Internet company and one of the world’s top tech companies. Leading cutting-edge technologies, NAVER operates the No.1 search engine in Korea and holds various business portfolios encompassing commerce, fintech, cloud, AI and robotics.

NAVER recorded sales of KRW 12.04 trillion (USD 8.18 billion) in 2025. TEAM NAVER continues to enhance its business portfolio and expand its global presence across Japan, North America, and Europe, while pursuing innovation through continuous research and development in future technologies.

View original content:https://www.prnewswire.com/news-releases/naver-partners-with-brookfield-and-nvidia-to-expand-koreas-national-ai-factory-infrastructure-buildout-302834577.html

SOURCE NAVER

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