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.
Video has become a dominant method to engage employees and customers through a wide range of use cases. Firms and users alike recognize the immense value in video’s ability to sustain and create a healthy corporate culture. While users push companies for easy access to more tools, smart firms have realized the benefits of a video connected business and take steps to expand their offerings.
The modern employee faces an information overload in the digital world. Swamped with the sheer volume of digital data sources, the average knowledge worker today spends 30% of the workday searching for information to do their job effectively – the equivalent of one-fourth of the working week, according to IDC data.
