3 Trends of Machine Learning that Improves Business Communication

By Telecom Tech Outlook | Friday, January 10, 2020

Gone are the days of wired landline telephone networks. VoIP has replaced them, which can be operated from various IP addresses, thus providing flexibility to devices and workers

FREMONT, CA: The landscape of business communication has reformed drastically in the last two decades. All credit goes to Voice-Over-Internet-Protocol (VoIP) and the rise of the internet. Gone are the days of wired landline telephone networks. VoIP has replaced them, which can be operated from various IP addresses, thus providing flexibility to devices and workers. The next wave of transformation is machine learning. Businesses are increasingly using AI and machine learning to make decisions in place of humans. Here we focus on some trends of machine learning that is changing business communications.

Microsoft's Intelligent Communications

The unified communication, pioneered by Microsoft, brought together all the aspects of communication viz. chat, callings, meetings, and other office suite of apps and their collaboration. Over 500,000 organizations across the world use Microsoft Teams, who are using the cloud-based software. The Team is making innovations in video quality, and also planning for better video background replacements, using machine learning. Microsoft is now heading towards intelligent communication, which will transform calling and meeting experiences for organizations and people across the world. The experience of the Teams will be infused with intelligence that will bring more comprehensive calling and meeting capabilities.

Google Jamboard

An intelligent virtual assistant always saves time as it can scan the calendars of meetings and set up suitable appointments after voice activation. This saves plenty of time, which could be invested in other productive works. Google G Suite already has the feature that customizes voice calls and thus allows businesses to assign and port calls or review billings in the simple console. Apart from all these, Google developed an interesting product, Jamboard. Google Jamboard is a conversational business whiteboard. The machine learning behind it will now be able to take notes that will accurately transcribe any conversation done near the whiteboard, even when there are multiple users around it. It helps to retain the originality of the conversation.

AI and Business Communication

The development in machine learning does sound like sci-fi, but both people and data are important to business communications. Improved qualification of sales leads, better profiling of customers, and enhanced customer service are some of the areas where technology has the potential to improve the bond between people and information. A vast volume of data is produced by modern business communication. Machine learning makes the processing of these data easier. Storing, recording, and processing call data helps a business to identify trends in a team, identify patterns for increased productivity, and customer communications that need to be changed.