A staff member displays a DJI Phantom 3 4K drone during CES (Consumer Electronics Show) in Las Vegas, Nevada. It may come as a surprising fact that there are now 14 Chinese AI companies valued at $1 billion or more. These unicorns are worth a combined $40.5 billion, according to a report China Money Network recently released during the World Economic Forum's Summer Davos gathering in Beijing. Just to put these numbers in perspective. Google bought DeepMind for over $500 million in 2014. Chinese voice recognition giant iFlytek Co. has a market capitalization of 63 billion yuan ($9.2 billion). Chinese AI startups raised $27.7 billion via 369 VC deals in 2017, according to a recent report from Tsinghua University. So naturally, it raises questions on if there is a bubble waiting to pop in the Chinese AI space. How could these companies, with an average age of less than five years, be worth so much money?

Startups are leveraging machine learning algorithms to help players from semiconductor giants to big four accounting firms analyze, predict, and automate within today's enterprise. Organizations are collecting and analyzing more information than ever before -- and relying on artificial intelligence to predict user behavior, develop new solutions, and automate redundant processes. Within the growing field of artificial intelligence, enterprise AI has shown particular promise, emerging as one of the most well-funded categories. Startups in the space offer services ranging from automated data collection from unstructured sources to real-time data analysis and syntehsis. In this briefing we look at private market trends, AI startups, and prominent industries using AI algorithms.

These startups have seen investment from NEA, Andreessen Horowitz, and DARPA, among many others. As the digital health sector matures from basic tracking apps into highly regulated medical devices, we are seeing bleeding edge technologies being developed that blur the lines between computers and biology. And a growing share of these startups are beginning to target the brain. The burgeoning field of neurotechnology involves brain-machine interfaces, neuroprosthetics, neurostimulation, neuro-monitoring, and implantable devices intended to not only augment nervous system activity, but enhance its capabilities. One such project is Elon Musk's Neuralink which is developing, "high bandwidth brain-machine interfaces to connect humans and computers."

By 2050, the US population aged 65 and older is projected to reach 83.7M, almost double its population in 2012. To combat the aging process and help people lead longer and healthier lives, pharmaceutical corporates and tech giants alike have begun investing in startups that are specifically aiming to tackle the root causes of aging or age-related diseases. In 2013, Google officially launched Calico Life Sciences. Calico bills itself as a research and development company focused on interventions that extend life. And last year, Jeff Bezos' Bezos Expeditions invested in UNITY Biotechnology which designs therapeutics to prevent, halt, or reverse diseases of aging.

Artificial Intelligence (AI) has permeated many industries from finance to healthcare, and sales is no exception. Within sales tech, there are a number of startups using AI and machine learning capabilities to help facilitate and streamline the sales process, particularly in the area of voice call and speech analytics. We used the CB Insights platform to surface 10 notable, early- to mid-stage (Series C or earlier) sales tech startups developing software platforms that specifically incorporate AI and machine learning. We selected these companies based on several factors including the recency and size of the companies' disclosed funding, as well as Mosaic scores, CB Insights' algorithm that uses financial and non-financial signals to predict private company health. After evaluating the companies on the list, we determined that the 10 companies below are some of the top companies to pay attention to.

As the global population ages, the number of cancer cases is going up. New cancer diagnoses are expected to rise by 70% in the next 2 decades, from 14 million to around 22 million, according to an estimate by the World Health Organization. Corporate giants like Google and IBM are already focusing on making breakthroughs in oncology, using advanced AI algorithms for early detection and personalized treatment of cancer. Google DeepMind announced a research partnership with the University College London Hospitals' radiotherapy department. DeepMind will test the use of machine learning to reduce the time it takes to plan radiotherapy treatment for hard-to-treat cancers of the head and neck.

As the global population ages, the number of cancer cases is going up. New cancer diagnoses are expected to rise by 70% in the next 2 decades, from 14 million to around 22 million, according to an estimate by the World Health Organization. Corporate giants like Google and IBM are already focusing on making breakthroughs in oncology, using advanced AI algorithms for early detection and personalized treatment of cancer. We used the CB Insights database to find equity-funded startups that are using artificial intelligence to fight cancer. California-based CureMetrix has developed an algorithm for image analysis, which is currently being tested to identify lung cancer in x-rays and for breast cancer detection in mammograms.