Search results for: 'Preparing for the Dual Nature of Generative AI'

The impact of the digital revolution continues to disrupt the healthcare industry. This includes evolving digital technological capabilities, new business models and marketing approaches, the healthcare consumerism trend, the changing regulatory environment, and competitive threats from new market entrants, such as digital-native companies—particul...

Agentic AI is redefining the enterprise AI landscape by moving beyond traditional and generative models toward autonomous systems that can reason, plan, and act across complex workflows. Enterprises are increasingly moving from experimentation to production-grade AI deployments, embedding agents within workflows, customer journeys, and IT operation...

More than 4 billion people lack water for at least 1 month every year. Furthermore, it is estimated that by 2025, half the world´s population could potentially face water scarcity. Factors driving an increase in water scarcity include climate change, climate-related catastrophes, ground water contamination through the increasing usage of pesticides...

This study examines the development prospects that artificial intelligence (AI) offers the commercial vehicle (CV) industry, focusing on both the revolutionary potential of AI and the difficulties businesses face in fostering growth, including complicated regulations, high capital expenditure, and challenges in incorporating new technology into pre...

Artificial intelligence (AI) uses algorithms and large data sets to find underlying relationships and drive improved business outcomes. While still a nascent technology, AI is experiencing increased implementation and adoption across industries to innovate business models, drive operational efficiencies, and create strategic differentiation. Global...

The proliferation of internet of things applications, such as smart manufacturing and smart transportation, has resulted in the explosion of artificial intelligence (AI) and big data. These applications heavily rely on complex AI and machine learning algorithms, requiring computational solutions to handle varying workloads. Power-intensive, costly,...

09 Sep 2024  |  Global  |  Technology Research

AI-based Drug Repurposing Market, Growth Opportunities, Global, 2024-2029

AI-based Drug Repurposing is emerging as a new and faster approach to bringing drugs to patients.

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This study analyzes the emergence of AI-based drug repurposing and examines the factors driving and hindering adoption. The limitation of traditional drug discovery has led to the growing interest in AI -based drug repurposing, which offers numerous advantages in terms of time, speed, and cost. AI-based drug repurposing has been explored across dif...

26 Aug 2024  |  Global  |  Market Research

AI-enabled Medical Imaging Market, Global, 2024 2028

AI Tools for Imaging in Cardiology and Neurology Are Driving Transformational Growth

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The medical imaging industry faces significant challenges, such as radiologists increasing workload, the complexity of tasks, and the global shortage of staff, including radiologists. The number of imaging exams being conducted globally is increasing due to advancements in medical imaging and the growing complexity of medical cases, which burdens ...

07 Oct 2025  |  Global  |  Market Research

Industrial Hybrid AI Market, Global, 2024–2029

Industrial Hybrid AI Market is Experiencing Transformational Growth due to the Urgency for Adaptive Intelligence in Critical Decision-Making

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Hybrid AI is an integrative approach reshaping how AI is applied to mission-critical applications. Its potential lies in addressing the critical limitations of current AI solutions, with key market drivers including enhanced interpretability and explainability, greater application flexibility, and improved scalability and efficiency. Strong growth ...