Pretty much everyone in the tech world wants to take advantage of insights gained from data. That's because we're surrounded by Everest-sized mountains of it, and we’ve never before had so many tools to summit them. Thanks to developments in artificial intelligence and machine learning, we’re finding ourselves closer to reaching these peaks. These five companies are using AI to lead the way.
Wouldn’t it be great if you could interpret subtle facial expressions to get a better read on people’s feelings? Look no further than Affectiva. The Boston-based artificial intelligence company has created a series of emotion recognition products for use in anything from app development to market research. Using deep learning and machine learning methodologies, the company analyzes roughly 5.7 million facial expressions from the world’s largest emotion data repository. It then uses the insights from that data to classify emotional responses.
DataRobot is an automated machine learning platform that helps you find and build the best predictive models. The product, which is designed to help enterprise companies solve business problems, enables users to build many models at once. This means data professionals can spend a fraction of the time on finding the optimal predictive model.
Data is only as valuable as the insights you draw from it. Indico Data’s product is powered by deep learning to help you make better, data-driven decisions no matter your field or industry. The platform leans on customizable machine learning algorithms to evaluate text and image data to aid in efforts like political analysis and object recognition.
Looking for a new job can be a daunting experience. You spend time crafting your resume and cover letter to perfection, and once you send them off, all you can do is wait. Jobgator’s mission is to make this process a little less painful. The product uses artificial intelligence to make data-driven predictions to optimize your resume. It suggests keywords to use on your resume, so you have a better shot at getting noticed by an actual human.
Writing will always be an art, but it’s leaning more toward science these days, thanks to SEO. In order to show up in search engine results, content needs to feature the right keywords in the right places. For the uninitiated, this approach can feel like throwing darts at an invisible dartboard, so MarketMuse has developed a solution to help writers and marketers get content discovered. The company uses machine learning to provide users with data-driven insights to help optimize content.
