Search results for: 'cloth does learning'

Scope of the report The research report includes the following segments: Product scope: Vehicle Scrappage Programs and General Public Perception of the same Geographic scope: Malaysia End-user scope: OEMs, Stakeholders of countries interested in Vehicle Scrappage Programs Respondent profiles, survey findings including opinion regarding vehicle sc...

09 May 2016  |  North America  |  Market Research

Automotive Voice Recognition Market, Forecast to 2022

Voice Biometrics, Virtual Assistant and Deep Learning Emerge as Major Market Disruptors

Infographics

×

Voice Recognition (VR) technology is primarily focused only on infotainment use cases. However, Original Equipment manufacturers (OEMs) and Tier-I suppliers are significantly investing in biometric and machine learning technologies. Even though OEM’s are trying to adopt cloud-based and hybrid solutions, they are still dependent on embedded solution...

Video telematics solutions are poised to become the norm amongst enterprise fleets in the initial phase, owing to reduced vehicle claims, efficient driver exoneration, and higher realized return on investment. Medium and heavy-duty commercial vehicles for long-haul vehicle operations are primarily poised to be early adopters of video telematics, gi...

This Frost & Sullivan research service examines the role artificial intelligence (AI) will play in the transformation of the automotive space. AI is a key disruptive technology, wherein automakers are evolving into technology firms and expanding their service offerings beyond manufacturing vehicles. Technology implementation has increased, and the ...

As wearables technology becomes more ubiquitous, it allows for new avenues of consumer interaction and data collection. As the world becomes increasingly connected, consumers will demand that their vehicles be connected with their wearables technology, which will open up various opportunities for automotive-related applications that will be enabled...

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...

The study provides an overview of the upcoming technologies, features, services and trends pertaining to digital assistants in the automotive industry. Digital assistants have evolved from their infotainment use cases to vehicle and driver safety use cases. Original equipment manufacturers (OEMs) and Tier I suppliers are significantly investing in ...

The Indian passenger vehicles market is evolving with a clear shift in consumer preference from low-cost vehicles to feature-rich vehicles. These consumers now are willing to spend thousands more on comfort and convivence features. The industry is addressing this trend by offering driver assistance features to enhance safety in and outside the veh...

This study investigates OpenAI, its journey to date, business model, revenue streams, regulatory environment, key technology and growth partnerships, start-up funding, and strategic investments. The research examines OpenAI product portfolios, real-world use cases, future application potential, and companies embracing the technology.--BEGIN PROMO--...