Businesses Benefit From Audio Data Collection
According to a blog article from Semrush, only 7% of companies worldwide do not use AI. They also noted that though these companies don’t use AI, they are considering trying out the technology in the near future. Artificial intelligence, such as speech recognition, helped shape the way how business systems functions. AI helped in increasing employee productivity and enhancing the work environment.
Audio and data collection helped several companies, including small-sized and medium-sized businesses, to improve their services and to enhance their work productivity into achieving an efficient and high-quality output. The question is, how can small-sized and medium-sized businesses benefit from audio data collection?
Small-sized to Medium-sized Businesses in Audio Data Collection
By definition, small-sized businesses are companies that comprise less than 50 employees while medium-sized or mid-sized businesses are companies that comprise less than 250 employees. These types of businesses are most commonly known as Small and Mid-sized Enterprises (SMEs) in the European Union or small-to-mid-sized businesses (SMB) in the United States. Small to medium-sized businesses can range from law offices, salons, bars, gyms, and many more. At present, there are about 212.98 small to medium-sized enterprises worldwide.
Many businesses are applying AI in their services and operations globally. It’s no wonder if five or ten years from we’ll see every business out there making use of AI in automating their own systems and applying it to their business operations and services. But, it seems like, with this progress, SMEs are lagging behind. Their progress in catching up with AI is slow mainly because they don’t know the benefits that AI could bring to their company.
Voice and speech technology have been widely used by several companies worldwide to automate their tasks as a support in their transition from traditional to digital. Speech recognition paved a way for SMEs to follow this transition. Speech recognition is one of the branches of AI which can help in optimizing work efficiency as well as produce data for future studies. Audio data collection is essential to speech recognition. As said before, the data acquired from the collection is fed to the machine that processes and comprehends speech patterns and audio signals.