Search results for: 'data integration of train ad ai'

Vehicles generate data that can be collected and used for new services and solutions—either for internal purposes within the workings of an automaker or for third parties that require data to create innovative use cases and value propositions. The connected car is already a rich source of information, and with new model launches, increased levels ...

The importance of download as a feature within OTT services and how it may be a big business opportunity for AVOD providers cannot be overstated. But this will only hold true if the technology can work seamlessly with existing apps and ad-based revenue models. More OTT services, both AVOD and SVOD, must start including downloads as an option, to en...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

Industrial manufacturing faces unprecedented disruption from equipment downtime, skills shortages, and volatile trade policies, while legacy systems struggle to integrate with modern AI. Fortune 500 companies lose significant revenue each year to unplanned downtime. At the same time, manufacturers face margin compression from tariff volatility and ...

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respo...

Industrial artificial intelligence (AI) has emerged as a transformative force in manufacturing and process industries, revolutionizing traditional approaches to automation, process optimization, and decision-making. The technology's impact spans 3 core application domains: Product Innovation, enabling value creation through AI-enhanced products and...

The evolution in autonomy and increase in the adoption of driver assistance systems have generated a need to sense and perceive the surrounding environment of a vehicle entirely and accurately. The fusion of forward-looking sensor data has given OEMs and Tier-I suppliers opportunities to offer multiple ADAS applications at low costs, while providin...

As artificial intelligence (AI) moves from experimentation to enterprise deployment, growth is no longer limited by access to models. It is increasingly shaped by how well organizations can scale, govern, and monetize AI in real operating environments. The AI technologies and platforms market is entering a phase where economics, trust, regulation, ...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...