We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
AI and Machine Learning are becoming a staple in the IT industry, with surprising industries seeking advantages with this exciting field of automation. One of these industries with a constant focus on productivity improvement and automation is the call centre industry. Tech giants are taking their own in-house steps towards automating this labor-heavy market, but how do robots and people work together in a field where 79% of customers still prefer to speak to a human being?
As our world becomes hyper-connected and e-commerce blurs the lines between geographical markets, customer support is facing a paradigm shift in the way it has structured its business processes and its approach to technology.
