Search results for: 'risk intelligence solutions'

Intelligent automation is driven by artificial intelligence (AI) technologies. In industrial operations, AI acts as the catalyst to increase the productivity in the operations. Three types of artificial technology are identified as a game-changer in industrial operations in which these technologies are digitalizing and streamlining the value chain ...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

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

Infographics

×

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 ...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

The October 2025 edition of the CST Technology Opportunity Engine highlights transformative innovations shaping the future of edge computing. The study explores the evolution of decentralized data processing models that enable ultra-low latency, localized intelligence, and real-time decision-making across industries.Driven by the convergence of IoT...

The impact of information technology (IT) on the manufacturing industry has been tremendous in recent times. With an increasing number of machines being connected to the Internet, data are being generated in huge volumes. Advancements in real-time data processing and predictive analytics further help in discovering newer ways of utilising the data ...

This study examines the future of the process automation market, analyzing the shift from traditional hardware-centric systems to software-defined, AI-driven autonomous operations within process and hybrid industries. The research employs ISA-95 technology layer segmentation to assess market evolution and competitive dynamics across oil & gas, chem...

This research service analyses the automation and control solutions (ACS) market in the Commonwealth of Independent States (CIS) region between 2009 and 2017. The research includes an overview of end users, market engineering measurements, and total market forecasts. This service also includes a competitive landscape of the leading market represent...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to near-infrared in-situ quality assurance technologies enabling real-time monitoring and defect detection during metal additive manufacturing; AI-driven multi-sensor monitoring systems integrating process data to improve additive manufacturing quality...