AI and machine learning are often discussed as the next frontier in banking and insurance industries. There are, however, even more exciting applications which are paving the way for disruption.
Robots, computer vision & machine learning in agriculture
Blue River Technology has been recognized by the World Economic Forum (WEF) as one of the Technology Pioneers 2015. Founded in 2011 in California, the company has developed smart machines that increase agricultural production and provide an alternative to the expensive and environmentally damaging practices of chemical-intensive agriculture. Blue River Technology uses computer vision and robots to improve farming efficiency by removing unwanted plants and making decisions based on the condition of individual crop plants.
Deep learning AI in the oil and gas industry
Paradigm is the largest independent developer of software-enabled solutions to the global oil and gas industry. Using Nervana Cloud, the company increases the detection accuracy of underground features within 3-D images that could indicate good locations for oil drilling. The improved accuracy results in more efficient drilling decisions that are reducing the expenses of time and funds on locations that may not yield worthwhile oil deposits.
Deep learning in radiology
San Francisco-based Enlitic applies state-of-the-art deep learning technology to medicine and helps doctors to draw insights from billions of clinical cases to improve every medical decision. In application to image reading, the automatic analysis provides a tool to radiologists with the potential to result in unparalleled disease detection and diagnostic accuracy. The technology also allows for dramatically reduced image read times, support in the detection of co-morbidities and incidental findings, and insights on treatment options.
Deep learning technology in automated image tagging
Clarifai is a startup in New York City that enables automated filtering and tagging of images and video segments. The company’s deep learning technology is beneficial to end-users as diverse as travel photography sites, real estate agents, and online comment moderators looking to filter out pornography.
“When you think of everything from your email inbox to the advertisements you see with search results to image tagging, every possible aspect of these products is already benefiting from machine learning or will very soon,” said Matthew Zeiler, Clarifai’s Founder and CEO.
Deep learning and personal assistance
Sherpa has developed powerful artificial intelligence algorithms based on probability models to be able to predict the information users are going to need. Sherpa is based on interactions, localization and another series of user inputs. Sherpa’s algorithms claim to dramatically improve accuracy and make it one of the most powerful machine learning systems for predicting information. Designed only for mobile devices, Sherpa was recognized by BBVA as one of the international competitors of the two major virtual assistants in the market: Apple’s Siri, for iOS, and Google Now, for Android mobile devices.
Along with Sherpa, BBVA also emphasized Inbenta – a company that specializes in the development of software for natural language processing. Its technology allows a machine to understand and remember the conversation with a person thanks to the incorporation of cognitive retention, memory and detection of context in the interactions of their machines and users.