Many technology companies are now focused on a new kind of method for making sense of data: artificial intelligence, machine learning, deep learning, natural language processing, and others. Many are focused on financial services and the comprehensive landscape Bloomberg has created is quite helpful.
To make sense of this world, Bloomberg Beta‘s Shivon Zilis spent the last 3 months researching more than 2,500 startups and created a Machine Intelligence Landscape. She found that enterprises, industries and humans are all being augmented by machine intelligence. Big companies will have a disproportionate advantage since they have the massive datasets and user interactions, but Shivon sees the technology they develop rapidly spilling into other areas, particularly as startups take the core technologies being developed into niche use cases.