Track: VoiceTech |
| Real-time Artificial Intelligence: outsmarting robocall scams with NLU |
| Robocalls are a primary source of consumer complaints to the FCC, making up 60% of all consumer complaints filings. By some measures, up to 50% of all inbound cell phone calls are robocalls or spam. In February 2020 alone, Americans received 5.2 billion robocalls, which works out to nearly 2,000 robocalls per second. Due to this ongoing problem the Federal Communications Commission refers to as "the robocall scourge," 61% of people in the US regularly ignore calls. Governments and tech companies globally are trying to address this problem, but there’s no viable remedy yet. Spam blocking apps that access “black lists” and block calls from unwanted numbers, call screening apps that find out the name of the caller and notify users with corresponding audio prompts are some remedies with mixed results. More recently, major US network operators have implemented call signing through the adoption of the STIR/SHAKEN framework, which is likely to offer a measure of relief, but unlikely to provide consumers with a magic bullet to combat this problem. Thus far, Personal AI Assistant apps appear promising. A few years ago Google added a call screening feature to their Pixel phones, and later went on to expand the call screening functionality to Google Assistant and Duplex. However, this functionality is only available in a few countries. and, those apps have their own limitations: besides spammers, there are missed calls, or times when users simply can’t pick up. As a leading vendor of Conversational AI tools and technologies, Just AI would like to share some first-hand insights on: The benefits of adding NLU technology to build a more effective overall solution with complex functionality: combatting spammers, handling calls, taking messages. |
|
| Presentation Video |
