Enterprises are continuously searching for solutions that allow them to increase their workforce productivity, reduce manual labor and enable automation for their business processes. With digital content increasingly becoming a huge asset in organizations, the need for reducing human involvement from different workflows of content management is highly demanded. This is a field where visual text recognition – more commonly known as Optical Character Recognition (OCR) – plays a major role in automating the adoption of digital assets for enterprises.
Artificial Intelligence (AI) is reshaping how businesses are using video. By leveraging machine learning and tapping into unstructured data inside video content, organizations can mine valuable insights and unearth significant optimization opportunities. Companies working on AI now rely less on bottom-up data and more on top-down reasoning that bears a close resemblance to the way humans approach problems and tasks.
What happens once your sales reps have wrapped up their prospect calls for the day? Where are those audio and video recordings stored? Is the media accessible for scalable training of new and existing teams? How are the calls monitored or reviewed for quality and compliance? Is it practically feasible for someone to review the numerous audios and videos to highlight best practices or flag any mistakes made as part of the sales process and provide instant feedback?