ARTIFICIAL INTELLIGENCE
FACIAL RECOGNITION
Enterprises are rapidly compiling large libraries of video content as this medium becomes more popular across business functions. However, finding specific content residing within these prolific videos is becoming a challenge, especially for time sensitive needs. Rev IQ leverages artificial intelligence to empower you to find the video content you need when you need it. Searches can be conducted for particular keywords, or the presence of a particular speaker.
Problem
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Research
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Sketch
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Design
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Result
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise
Future
With millions of videos being watched every minute, video represents an overwhelming majority of storage and bandwidth usage within the modern enterprise. As massive corporate investments in digital transformation continue to under deliver, there is an obvious culprit: big data will only deliver value with the right technology and analytics to transform it into something practical. If video content is the biggest of big data, what has your corporation been doing to ensure maximum returns from investing in it?
Powered by artificial intelligence, Rev IQ unlocks the value trapped in a company’s video library. Rev IQ uses facial recognition and machine transcription to automatically enrich videos with information about who appears in a video and what is being said. This transforms videos from just being bulky media files with sparse metadata into fully searchable files rich with value for roles across the enterprise