Walmart, Delta, Chevron and Starbucks use AI to track employee communications
Aware CEO Jeff Schumann shared that AI helps companies understand risks regarding employee communications by getting information about their mood in real time. Using anonymized data in Aware's analytics product, clients will be able to see how employees in certain age groups and geographic regions respond to updates to corporate policies or marketing campaigns, continues the startup's CEO.
Aware's dozens of AI models built to analyze text and images can detect harassment, bullying, discrimination, non-compliance, pornography, nudity and more, Schumann said. The head of the company emphasizes that the main Aware tool does not have the ability to mark the names of individual employees. However, this can be done by a separate solution - eDiscovery, which is designed for extreme threats or risky behavior pre-defined by the client.
Aware confirmed to CNBC that it uses enterprise customer data to train its machine learning models. According to the company, the data warehouse contains about 6.5 billion messages. Once a client is connected to the Aware system, it takes about two weeks for the AI models to learn from employee communications and learn patterns of emotions and sentiment within companies.