Major VoIP Developments to Expect Until the Year of 2020
Rapidly increasing adoption of Voice over Internet (VoIP) solutions by businesses is fueling VoIP developments that will ultimately make this technology a preferred choice. Businesses of all sizes already shift in numbers to VoIP for their phone communications and other tasks. The technology itself needs to develop very fast to meet the maturing demands of enterprises.
Transition to 5G Networks
A growing number of mobile networks will upgrade to 5G networks in the next few years. It means markedly faster wireless speeds that can go up to ten times the speed of 4G networks. Faster downloads and uploads in turn means VoIP users will be able to perform even more tasks that require exchange of lager data volumes between remote offices.
Experts believe that the introduction of 5G networks will also eliminate VoIP issues such as echo, jitter and packet loss. In the meantime, we’ll witness marked VoIP developments in fields such as transmission of high quality video.
Growing VoIP Integration Capabilities
Enterprises are increasingly looking for integrated solutions that eliminate the need to connect to an ever-growing number of platforms to run their business. With software developers realizing the need for integrated solutions, we are going to have seamless VoIP integrations across a variety of use cases.
Notable VoIP developments will be closer integration with CRM and ERP platforms, as well as project management software. You can also expect closer computer telephony integrations. The entire process will involve enhanced mobile capabilities as more businesses embrace remote work practices and hire remote employees. By moving to hosted VoIP platforms in the cloud, you get an uninterruptible service and integrations with different other cloud services. Thus, you eliminate infrastructure expenditures on your side of the business.
Artificial Intelligence and VoIP
Adjusting VoIP calls quality is the simplest use of artificial intelligence in the field of VoIP communications. Machine learning functionality is able to work along AI and provide you with predictive actions that go beyond technical adjustments.
AI and machine learning features can integrate with your CRM, for example, providing insights about best cold call times, hours when most support staff is needed, etc. As AI and machine learning operate in real time, your VoIP platform becomes a vital part of an integrated system to collect data and generate business insights.
A viable VoIP platform already provides email capabilities. So, an AI-powered system is able to generate insights and analytics based on your business correspondence as well. VoIP developments to watch include integrations with business intelligence platforms that will provide even deeper look over your business.
VoIP Developments in Virtualization
Virtualization of business communications will continue in the coming years. It will go beyond basic functionality such as automated greeting messages and call routing/re-routing. The progress in the field of natural language processing by machines will enable algorithms that can respond to sophisticated commands. These algorithms will make decisions by understanding natural language expressions.
As utopian as it may seem, you would be able to route all your incoming business calls using an AI algorithm within a couple of years. It is not about making robo-calls or relying completely on robo-answers. It is about smart applications of virtualization technology that makes resources available for more important tasks than taking and routing calls over VoIP.
All major breakthroughs and VoIP developments to watch in the next few years relate to developments in AI and machine learning. VoIP platforms will continue to integrate with a growing number of services and platform. The real winners, however, will be VoIP services that can offer advanced AI capabilities.
It is not about landlines and VoIP systems anymore. It is about how to develop a VoIP system that becomes an integral part of a complex business platform.