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Have you ever been frustrated with how Alexa or Siri don't always understand your verbal requests? If so, then you already understand the problem that our guest this struggles with. He's Tom Livne, co-founder and CEO of Verbit.ai.

In recent years, the demand for greater cybersecurity has risen even among the everyday citizen. This is especially true for one’s personal and financial information, which fraudsters are constantly finding new methods of breaching accounts to find. This need for security has also risen in insurance, and numerous AI firms are selling claims fraud detection solutions to the insurance sector.

The military has always been at the forefront of advanced technology. Some of the most important applications we use every day, such as the Internet, were developed by or for military use. That said, the military is adopting predictive analytics at what seems to be a slower pace than industry, although there are likely applications for the technology that they choose not to publicize. 

Although one might assume healthcare companies are investing the most amount of money into AI for R&D efforts, such as clinical trials, drug discovery, and surgical robotics, the top healthcare companies don't seem to be publicizing their efforts if they are.

There is always a fascination with what the biggest and most powerful companies in any given sector are doing. If you look in the world of eCommerce, everybody is ultimately referencing Amazon. In the world of banking, firms like JP Morgan are referred to and everyone's interested in their newest hires in terms of the C-suite and their newest innovations in terms of technology. Analyzing bigger firms seems to have a level-setting effect.

I hope that by the end of this episode of the AI in Industry podcast, you'll not only be able to hire better data scientists who will be a fit for your business problems and build better data science teams, but also pick the AI applications and use cases that you should bring into your business versus those that you shouldn't.

This article was written and contributed by Tom Gilbert, PhD Student in Machine Ethics and Epistemology, UC Berkeley, and was edited and published by the Emerj team.

If you want to understand the international competitive dynamics of artificial intelligence, particularly the US and China, starting with the United Nations is probably not a bad move. This week, I spoke with Irakli Beridze, the head of the Center for Artificial Intelligence and Robotics at the UN, particularly under the wing called UNICRI, the organization's crime and justice division.

Applications for artificial intelligence technology within the financial industry are most often focused on document search and fraud detection. This is especially true for large credit card companies such as Visa and Mastercard, who themselves provide technology to smaller businesses and card issuers.

The US Department of Defense's DARPA has a plan to invest as much as $2 billion in artificial intelligence research and development in the next 5 years. This is on top of the $2 billion the federal government has already spent on AI-based technology R&D.