The most common methods of tracking customer sentiments has a big blind spot: They can’t pick up on important emotional responses. As a result, qualitative surveys, like Net Promoter Score, end up missing critically important feedback. Even if they provide a positive score, customers often reveal their true thoughts and feelings in the open-ended comment boxes typically provided at the end of surveys, and AI can help companies make use of this valuable data to better predict customer behavior. Specifically, there are six benefits for adopting AI to analyze this feedback: It can 1) show you what you’re missing in your qualitative surveys, 2) help train your employees based on what’s actually important to customers, 3) determine root causes of problems, 4) capture customers’ responses in real time, 5) spot and prevent declines in sales, and 6) prioritize actions to improve customer experience. Read More
Daily Archives: May 4, 2021
A company is using artificial intelligence to insert new products and ads into content, including old movies
Mirriad uses AI technology to insert products and ads into new and old content, posing a threat to traditional advertising. The technology identifies places within content where ads or products could be inserted, as well as where the viewer’s attention drifts within any given still. It’s the in-content solution for the Chinese giant Tencent and plans to work with streaming platforms, where it could provide a solution for advertisers to make revenue amid a widespread shift to streaming. Read More
Avalanche: an End-to-End Library for Continual Learning
Avalanche is an End-to-End Continual Learning Library based on PyTorch, born within ContinualAI with the unique goal of providing a shared and collaborative open-source (MIT licensed) codebase for fast prototyping, training and reproducible evaluation of continual learning algorithms.
Avalanche can help Continual Learning researchers and practitioners in several ways:
- Write less code, prototype faster & reduce errors
- Improve reproducibility
- Improve modularity and reusability
- Increase code efficiency, scalability & portability
- Augment impact and usability of your research products