SANTA CLARA, CA--(Marketwired - May 10, 2016) - API.ai, a conversational user experience platform for apps and connected devices, today announced its active participation at Future Connected Cars USA, held this week on Wednesday and Thursday at the Santa Clara Convention Center. API.ai will be exhibiting its natural language understanding technology -- and the platform's applications in the automotive industry -- at booth #1232. Attendees can expect to discover how machine-learning-based intent recognition and context-aware conversation management algorithms can create customizable, intelligent applications that simultaneously balance convenience with driver safety using natural dialogue.
VP Client Solutions at API.ai, Christina Apatow, will present on "How to Deliver Conversational User Experiences with Cars to Provide a Richer, Safer Driving Experience" -- featuring a case study by API.ai integrator CloudCar -- on Thursday at 9:50 a.m.
"We are building the industry's most comprehensive, intuitive, and innovative solutions for the future's connected car, and we chose to partner with only the best niche, specific expertise," says Philipp Popov, CloudCar CEO. "We've been excited to work with API.ai's development platform. API.ai understands the future of the automobile and has the technology to deliver a contextual and customizable conversational experience. CloudCar looks forward to a continued, thriving partnership."
Developers and solution providers can take advantage of API.ai's cross-platform support, variety of pre-built knowledge packages, and inherent machine learning capabilities that improve understanding through continued use.
"Connected car systems are a perfect showcase for our natural language understanding platform," says Ilya Gelfenbeyn, API.ai co-founder and CEO. "We are excited to be a part of CloudCar's offerings that add convenience and luxury to the in-vehicle driving experience in a safe manner."
About API.ai
API.ai is a conversational user experience platform enabling connected devices and applications to interact naturally with people, and fulfill tasks to increase customer satisfaction and improve business processes.
Developers can use API.ai services for speech recognition, natural language processing (intent recognition and context awareness), and conversation management. They can also take advantage of a variety of ready to use pre-built knowledge packages that handle a diverse collection of popular requests across many categories.
Headquartered in Sunnyvale, CA, the API.ai team brings decades of experience in artificial intelligence and machine learning. API.ai is backed by SAIC Motor, Intel Capital, Motorola Solutions, and Alpine Electronics. Visit https://api.ai and @api_ai.