Latest AI Articles:

Siri and Alexa have now become household names in America, Xiaoice has been an digital friend to million in China since 2014, and the term “chatbot” has been a buzzword for nearly two years.

Real estate is a cost for nearly every business, whether leasing, owning or managing.

Process automation from AI offers a tremendous opportunity to lower costs associated with commercial real estate, especially those associated property management.

While tech giants tend to hog the limelight on the cutting-edge of technology, AI in banking and other facets of the financial sector is showing signs of interest and adoption even among the banking incumbents.

Episode summary: Although machine learning in finance is far from new, it is merely at the cusp of a much wider set of applications (in all segments of finance, from insurance to bookkeeping and beyond). Already machine learning has overhauled so many aspects of the financial landscape, from accounting to trading, and it is destined to have more and more impact as it develops further. Guest Alexander Fleiss and his team at Rebellion Research are developing and using AI which uses quantitative analysis to pick investments. Fleiss discusses the current status of machine learning in the world of finance as well as lesser-known niche applications that don’t make headlines - but do make a big impact on how businesses are run. He then goes on to explore the effects of future innovative applications of AI in the financial domain.

High costs and technical limitations kept the uses of drones relatively limited until recently. After significant excitement starting around 2012, the FAA's 2016 adoption of regulations - combined with the drop in price - has made drones an economically viable option for a broad range of commercial functions.

Episode summary: Guests Will Jack and Nikhil Buduma co-founders of Remedy Health Inc discuss the challenges involved in collecting, setting up and structuring data in order to implement AI in healthcare. By the end of this episode, listeners will have gained insight into the challenges of healthcare data systems, and the potential solutions to cleaning and organizing this data for healthcare AI applications.

Burger flipping is often used as derogatory shorthand for low-skilled, low-tech work, but fast food companies have been making major investments in automation, apps, analytics, artificial intelligence, and robotics. We set out to ask the questions that business leaders would need to know:

There’s a lot of buzz about artificial intelligence shaking up enterprise procurement over the next five years. Procurement leaders wonder what elements of their jobs will be augmented - or even fully automated - by the intelligent systems. Which roles are secure from full automation, and how will more “automate-able” jobs have to adapt in the years ahead?

A company by company examination of the top car makers public investment and statements by their top executives makes it clear that most car companies are betting that artificial intelligence utilized in self-driving will be inevitable, and they're all jumping in with investment and initiatives.

Episode Summary: If there's any industry ripe for disruption by AI and ML applications, it's healthcare. This week, we speak with Eleven Two Capital's Founder and Managing Partner Shelley Zhuang, whose investment focus (among other spaces) is on innovative healthcare services and applications. In addition to discussing how AI and ML is helping propel genomics, diagnostics, therapeutic treatment, and other innovations into a new paradigm, she touches on what the healthcare space might look like in the next 10 years. For healthcare startups looking to break into the healthcare market, Zhuang doesn't pretend to have simple answers; however, she identifies commonalities among smart companies that have prepared early for meeting regulatory and other industry considerations. This interview was recorded live in San Francisco at Re-Work's Machine Intelligence in Autonomous Vehicles Summit in March 2017.