In May 2018, Bard College’s Center for the Study of the Drone released a report estimating that 910 “state and local police, sheriff, fire, and emergency services agencies” had acquired drones in the United States by the end of 2017.
Event Title: The Conference on Disarmament at the United Nations in Geneva
Event Host: the United Nations
Stockbrokerage might be viewed by investors as a traditionally human-based service allowing them to buy and sell equities. When looking at the shift in how stock brokerage is different today compared to the early 2000s, the largest change seems to be in software-based automation. Put simply, a lot of what was being done by humans (such as executing trades, giving advice to investors, discretionary trading) can now be done through software.
In a 2017 symposium in Harvard’s Institute for Applied Computational Science, R. Martin Chavez, Deputy Chief Financial Officer of Goldman Sachs explains that the company’s US cash equities trading division used to employ over 600 human traders back in 2000. Today that number is down to just two human traders, with the rest of the jobs being taken over by automated trading platforms that are managed by around 200 computer engineers.
Computer vision, an AI technology that allows computers to understand and label images, is now used in convenience stores, driverless car testing, daily medical diagnostics, and in monitoring the health of crops and livestock.
Last September I had the chance to do a series of AI-related speaking engagements in Atlanta (one of those presentations became one of our most popular articles on “enterprise AI adoption”), but unlike most trips, I spent very little time in the hotel.
In this episode of AI in Industry, we speak with Brendan Kohler, the CTO of Co-founder of Boston-based startup Sentenai. Brendan speaks about how businesses today can effectively leverage the data being collected by their existing IoT and automation systems. Though example applications and use-cases, Brendan elaborates on what kinds businesses might use this technology today and what they can expect in the near future.
Tech Provider: TAMR - a company that automates the organization of a company’s enterprise-wide data through a machine learning-driven plus human-guided solution
With "machine learning" excitement in full swing, Boston is buzzing as always with it's own batch of startups, accelerators, and VCs, and I decided to do a deep dive into the local artificial intelligence ecosystem.
Machine translation has significantly evolved over time, especially in terms of accuracy levels in its output.
