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Artificial intelligence (AI) has the potential to deliver substantial benefits to both economies and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent delays. Therefore, it is important to analyze organizati...

09 Jun 2025  |  Global  |  Technology Research

Emerging AI Trends in the Renewable Energy Industry

AI Developments are Transforming the Renewable Energy Industry

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Growing environmental concerns have intensified the focus on renewable energy. Organizations are making a conscious effort to adopt renewable sources, leading to rapid growth—a trend that is expected to continue. Stakeholders are increasingly turning to artificial intelligence (AI) to enhance both the generation and utilization of renewable energy....

The information and communication technology (ICT) ecosystem is on the cusp of a major transformation thanks to Generative AI (GenAI), as this powerful technology opens new possibilities. Responsible use of GenAI can help companies generate new revenue streams, develop innovative solutions, and provide users and customers with personalized experien...

The human resources function faces significant disruption as artificial intelligence (AI) technologies mature. While the chief human resources officer organization has been adopting digital technologies to drive greater integration, automate processes, and improve workflows, Generative AI (GenAI) now offers the potential to create a transformative ...

This research forecasts budget spending for the U.S. Department of Defense (DoD) training and simulation market, including general trends and program analysis affecting the market. Five training and simulation classifications make up the U.S. DoD training and simulation market, including: live training; virtual training; constructive training; mixe...

AI has moved from being a standalone technology to a core building block that drives global business growth. Advancements in key AI technologies, such as machine learning, deep learning, natural language processing (NLP), and computer vision, are happening at an exponential pace, constantly unlocking new capabilities and applications. AI adoptio...

The rapid rise of agentic AI marks a fundamental shift in how organizations design, deploy, and oversee intelligent systems. This study examines that shift through the lens of the Moltbook incident—an early 2026 event in which autonomous agents, operating without sufficient safeguards, produced a cascade of unpredictable interactions. Far from sign...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

This study examines the increasing use of artificial intelligence (AI) in quality management. The rapid advancement of AI has led to its use across sectors, particularly quality management, as is evident in the growth of predictive quality analytics and enterprise quality management systems (EQMS). With increasing competitive intensity, it has beco...