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Hearing loss is a condition affecting an estimated 48 million individuals in the U.S. While the degree of severity may vary across age groups, the Hearing Loss Association of America reports that hearing loss ranks third after arthritis and heart disease among the most common physical ailments.

Almost all young companies and companies in the start-up ecosystem today would like to talk about how they leverage AI or machine learning. In most cases, this is to make their product sound special and exciting. However, the fact is most young companies do not have the resources or the talent needed to leverage artificial intelligence in a way that would add to their value proposition.

Episode summary: In this week’s episode of AI in Industry we speak with DataRobot CEO Jeremy Achin about the future of AI applications for people without a data science background. We specifically discuss how future AI tools might bypass the complexity of machine learning programming and make intuitive interfaces that function more like today’s everyday software. Our business leader listeners will be interested in Jeremy’s predictions about how the UX for AI-related tools might become more simplified and code-less in the coming 5 years.

Episode summary: In this week’s episode of AI in Industry, we speak with Larry Lafferty, the President, and CEO of Veloxiti. Larry has been building large AI projects for DARPA and other large private companies for the last 30 years.

Relative to banking, finance or healthcare, construction is still a small market for artificial intelligence and emerging applications are focused on finding patterns in large datasets which would either be too difficult for humans to process or would take them too long. Over the course of this article, we aim to answer the following questions:

Episode summary: In the heavy industry sector, the cost of unpredicted repairs or machine failures can be very expensive. For example: A cargo train with an engine failure in will incur costs from its own repairs, from the transit required to reach the broken down engine, and with holding up other trains and cargo in the process.

Artificial intelligence -- especially machine learning -- is at it’s best when it is working with a large, analyzable data set, like text. But much of the data in the world isn’t in text form. Instead, it’s in the form of spoken words on video and audio recordings or even live events. This makes reliable voice transcription an important goal for artificial intelligence.

Episode summary: In this week’s episode of AI in Industry we speak with Rodney Brooks, Founder and CTO of Rethink Robotics, a collaborative robot manufacturer founded in Boston in 2008. Rodney explores robotic safety regulations and he also paints a picture of what robots might be capable of in the next five years.

The implementation of artificial intelligence applications in the healthcare space is poised to impact clinical workflows, physician training and the medical education model. A recent report by Accenture predicts that the AI health market will grow to an estimated $6.6 billion by 2021 and a compound annual growth rate (CAGR) of 40 percent. This represents a significant increase from a market size of $600 million in 2014.

Episode summary: One of the key challenges that enterprises face in adopting artificial intelligence is finding skilled data science talent. Business leaders want to know when it's best to hire AI talent, to "upskill" existing workers, or simply to bring in AI consultants - and the answers aren't always obvious.