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Episode Summary: If one wants to start a general search engine, they're going to have to compete with Google. If one wants to start a general eCommerce platform, they'll have to compete with Amazon. But the same dynamics play out on a smaller scale. There are going to be some established players, some big tech giant, be it IBM or someone else, who already has a product.

Even during a time when the buzz around AI and digital data storage is prominent, there are still some companies with large amounts of backlogged data that are taking up space in their databases, but not providing enough value. Large stores of enterprise and customer data can be valuable to insurance companies for optimizing their business operations and gaining analytical insights on how their business decisions affect company growth.

Along with the rise in popularity of chatbots and simple conversational interfaces, there is growing interest around other natural language processing (NLP) capabilities in the banking, finance, and insurance industries.

It is clear the United States government has recently taken a strong stance in attempts to proliferate artificial intelligence technology innovations for the United States Department of Defense. There are those who believe that the US, Russia, and China have entered into a modern day Space Race-style competition to develop and harness artificial intelligence technologies.

In this article, we explore the applications of AI software within the automotive industry from production and manufacturing to insurance and transportation. We will discuss the equipment involved in collecting and analyzing data along with the potential value they offer to manufacturers, shared mobility companies, insurers, and drivers.

We come to the sixth installment in the "AI Zeitgeist" series, and this one is about the changing landscape of artificial intelligence priorities for business leaders.

At Emerj, we pride ourselves on presenting objective information about the applications of artificial intelligence in industry. AI is applicable in a wide variety of areas—everything from agriculture to cybersecurity.

Episode Summary: A lot of AI in the press is CMOs or marketing people talking about what a company can do in a way that really is aspirational. They're speaking about what they can do, but in reality, the things that they're talking about, the capabilities won't be unlocked for maybe a year or more. These are just things on the technology road map, but people speak about them like they exist now.

When it comes to the possibilities for AI in the insurance space, it may seem like machine vision is an inevitable choice for any insurer looking to have as much information on the insured property, car, or people as possible. However, this may still yet to be the case for many insurers. The insurance space has a relative lack of case studies for this type of AI software. This may indicate a lack of demand from the insurance industry or a lack of traction on the part of the technology's use in insurance.

It is clear the US military has taken an interest in exploring the capabilities of autonomous vehicles for the battlefield. Michael Griffin, Under Secretary of Defense for Research and Engineering for the US Department of Defense, reported to lawmakers in the United States Congress that 52% of casualties in combat zones have been attributed to military personnel delivering food, fuel, and other logistics.