Search results for: 'chip design and Artificial Intelligence'

As the need and preference for minimally invasive surgeries are rapidly rising, the demand for endoscopic procedures is also witnessing substantial growth. Since endoscopes are minimally invasive and use the natural openings of the body for insertion to aid physicians with enhanced images for the purpose of diagnosis and therapy, the need for scope...

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 ...

Computed tomography, X-ray radiography, and magnetic resonance imaging have been invaluable tools in disease diagnosis and treatment efficacy assessments, but the practice of manual viewing and grading medical images to identify abnormalities is time-consuming and can delay diagnosis for critical patients. Intelligent imaging analysis systems that...

This edition of the ITCC Technology Opportunity Engine captures developments related to AI Observability, Enterprise AI Data Integration, Geospatial Estimator Platform, Edge AI-Driven IoT Platform, AIIoT & Edge Platform, AI-Optimized Edge Processing, Cloud-Native Infrastructure Management, Blockchain Payment, Quantum-Classical Hybrid Computing Plat...

The automotive industry defines life on board as the time occupants will spend on board a future connected and automated vehicle. Level 4 automated driving will transform how vehicles are designed, from the inside out. With minimum-to-no driving activity involved, vehicle control systems such as steering, braking, and accelerating will be hidden aw...

Comprehensive wound assessment is vital to understand the nature of wounds and devise evidence-based and cost-effective therapeutic interventions. However, traditionally used methods for wound diagnosis and monitoring cannot accurately measure wound dimensions, require physical contact with the wound, which causes discomfort to the patients, and ca...

Enterprise AI adoption has accelerated, but visibility into how AI is actually used, governed, and valued inside organizations remains limited. Traditional adoption metrics—such as license counts or surface‑level usage statistics—no longer reflect AI’s real contribution to productivity, risk management, and business performance. As AI shifts decisi...

Rising healthcare and surgery costs are increasing the burden on healthcare systems, making it difficult for hospitals to offer high-quality care at affordable prices. Time-consuming manual processes that significantly impact surgeon time and workload, hospital cost increases due to delayed surgery, and low patient satisfaction levels due to human ...

02 Mar 2020  |  Global  |  Market Research

Convergence of AI and IoT—Market Opportunities and Challenges, 2019

Transformative Impact of Artificial Intelligence and Internet of Things will Enable New Levels of Prediction and Automation in IIoT Environments

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The convergence of Internet of Things (IoT) and artificial intelligence (AI) has the potential to drive new revenues for vendors and adopters. Improved efficiency and cost optimization of organizational processes are core advantages that are made possible through the application of such solutions. IoT-AI convergence can deliver new advantages in t...