Vonage (Nasdaq: VG), a global leader in cloud communications helping businesses accelerate their digital transformation, has announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Vonage has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. By working with AWS, Vonage is bringing AI into the contact center through AWS Contact Center Intelligence (CCI), with tools for Speech Recognition, Natural Language processing, Machine Learning and Text-to-Speech to deliver personalized, flexible and integrated customer experiences. With Vonage for AWS Contact Center Intelligence, Vonage is delivering the power of AWS cloud native services for AI and Machine Learning through the Vonage API Platform, enabling brands to access the capabilities of AWS AI and ML engines within any existing contact center environment.

Vonage, a global leader in cloud communications helping businesses accelerate their digital transformation, has announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status in the new Applied Artificial Intelligence (Applied AI) category. This designation recognizes that Vonage has demonstrated deep experience and expertise in building or integrating ML solutions on AWS. AWS Partners recognized as part of the AWS Machine Learning Competency expansion help customers take advantage of intelligent solutions for the business, from creating, automating, and managing end-to-end ML workflows to modernizing applications with machine intelligence. By working with AWS, Vonage is bringing AI into the contact center through AWS Contact Center Intelligence (CCI), with tools for Speech Recognition, Natural Language processing, Machine Learning and Text-to-Speech to deliver personalized, flexible and integrated customer experiences. With Vonage for AWS Contact Center Intelligence, Vonage is delivering the power of AWS cloud native services for AI and Machine Learning through the Vonage API Platform, enabling brands to access the capabilities of AWS AI and ML engines within any existing contact center environment.

Through nearly 20 years of constant change and disruption in the technology space, Vonage has been a leader. Now Vonage is leading through change once again, emerging as a B2B communications SaaS company for a new era. The consolidation brings together leaders in Communications APIs, Unified Communications, and Contact Centers, to create the world's most flexible cloud communications platform. Together we make communications more flexible, intelligent, and personal, so our customers stay ahead. This role will support the Business Operations function through the analysis of data and trends about quality, revenue, profits, payments, fraud and client behaviour. It is a key role to help the team scale by allowing the Managers to turn data into insights and thus have an impact in the business side.

Vonage says it's boosted productivity for its salespeople by 20% using artificial intelligence, blending its own Vonage Business Cloud with Google G Suite, Salesforce and employee productivity measurement tool Prodoscore. Vonage is now offering the technology it uses in-house to its business customers. On the surface, sales productivity is easy to measure -- revenue. Whichever salesperson sells the most is most productive and coffee is for closers. But how do you increase sales productivity, encouraging activities that lead to revenue?

Powerful technologies are fusing in the contact center with artificial intelligence (AI), machine learning, and voice recognition being the focal point in several research, investment, and news services. While it offers great promises in terms of the results they render, the pieces are yet to link together. "Although there is a popular conception among the public that AI just involves someone chatting over a voice assistant, there exists a lot of machine learning and artificial intelligence behind it, in terms of data analysis," says Omar Javaid, Chief Product Officer of Vonage. Javaid says that a conversation with AI can lead to angry calls, frustration, satisfaction, and other customer reactions. Similarly, it would also entail the capability to tailor human and vocal responses.

The digital era has arrived, and organizations are looking for ways to transform themselves to gain a competitive advantage. The digital initiative that tends to have the most bang for the buck is improving customer experience, which often starts with the contact center. A 2017 survey commissioned by cloud-based contact center vendor Five9 found that customer experience is now the top brand differentiator. Improving customer experience is the primary reason organizations have been migrating away from on-premises contact centers to cloud-based products. The initial wave of cloud-based contact center adoption was driven by the need for omnichannel communications, where sessions can be switched between different channels -- such as voice, chat and SMS -- in real time, with no loss of information.

If you use G-Suite, this webinar was designed to show you how to unlock the valuable sets of data locked away in your phone calls using Google Machine Learning. Organizations keep hearing the buzz word Machine Learning, but many companies don't even know how to apply Machine Learning to their business with the appropriate use cases. In our 1 hour webinar, we discuss one specific use case and how Machine learning can be applied to hosted VOIP platforms like Vonage, which has API access for business users to consume. Below you can see a recording of how we apply our Machine Learning service to our VOICE enabled API platform from Vonage and leverage all the hidden data of our company's voice activity within one single dashboard. You can also find a copy of the slide deck we used for the webinar.