To cap our AI-focused Transform 2019 event, taking place July 10-11 in San Francisco, VentureBeat will recognize and award emergent, compelling, and influential work in AI through the inaugural AI Innovation Awards. We take pride in shining a light on innovation, and these awards, presented by Ople, give us a chance to do so in a new way. This series showcases the nominees in each of our five award categories: NLP/NLU, Business Application, Computer Vision, AI for Good, and Startup Spotlight.
Natural Language Processing (NLP) and Natural Language Understanding (NLU) are growing in importance. Smart assistants are continuing to find roles in our homes and offices, translation services are creating a more global world, and the technologies are enabling all manner of productivity tools. As NLP and NLU gain new capabilities, use cases will continue to emerge.
Corti.ai
Denmark-based Corti describes itself as “artificial intelligence with a purpose.” The goal is simple: to help emergency call operators determine whether a call involves a cardiac event. Using pattern recognition with words and tone of voice, Corti says it is significantly more accurate than human operators at identifying such emergencies and can do so 30 seconds faster.
Rasa.ai
Rasa has its sights set on revolutionizing the field of conversational AI. Not only does the young company provide open source conversational AI that anyone can use and contribute to, it also fosters a community to advance the field and organizes conferences that bring everyone together. Companies can use Rasa’s tools to make their text- and voice-based chatbots perform better — with contextual conversations for applications like sales, marketing, customer service, and more.
June 5th: The AI Audit in NYC
Join us next week in NYC to engage with top executive leaders, delving into strategies for auditing AI models to ensure fairness, optimal performance, and ethical compliance across diverse organizations. Secure your attendance for this exclusive invite-only event.
Mozilla Common Voice
Simply put, Mozilla’s Common Voice project is designed to collect data about what human voices actually sound like. Through its crowdsourced data collection, participants actively engage rather than having to opt out, which is itself notable. The end goal is to create a multilingual, open source data set that anyone can use to build voice recognition into applications and services. To date, Mozilla Common Voice’s data set comprises some 1,400 hours of voice samples across 18 languages.
Textio
Textio is all about “augmented writing.” The company’s technology is centered around helping organizations write better job postings by using data to score writing on a 100-point scale. Textio then offers real-time suggestions for things like phrasing and reducing bias and offers insight into the culture engendered by a company’s internal writing.
The Transform AI Innovation award ceremony will be held on the evening of July 11 to wrap up Transform 2019.
