Top 3 Uses of Artificial Intelligence: PTSD, Music, and Art

AI is all around us… In your phone, computer, and even your car. Every year these AI systems get smarter, faster, and a little bit scarier. We created a list of our favorite AI Implementations that take computing to the extremes. Let us know your favorite by Tweeting or posting on LinkedIn using @CXO Nexus.

1. PTSD, Neuroscience, and AI

Researchers have found a way to detect PTSD in veterans using only a small sample of their voice and a computer.

Can you define AI? Merriam Webster says AI is “the capability of a machine to imitate intelligent human behavior.” But is it imitation when it surpasses our intelligent behavior?

PTSD, or Posttraumatic stress disorder, is a psychiatric disorder caused by traumatic experiences that cause disturbing thoughts, dreams, flashbacks, and many more symptoms. Currently, most diagnoses are determined by self-assessment. With 12% of the world population reportedly having PTSD, self-assessment and limited clinical diagnoses leave many cases unreported and not treated. But what if it didn’t have to be that way?

AI and machine learning are proving to be applicable in all aspects of our lives. PTSD is no different. Researchers used a basic Random Forest, a statistical machine learning technique, “learned” how to categorize people based on mathematical models and example data to determine who has PTSD.

Without getting too much into the nitty-gritty, this machine learning algorithm took audio recordings of 53 Iraq and Afghanistan veterans with PTSD and 78 recordings of veterans without PTSD. These recordings were then inputted into the same voice recognition software that was used to make Apple’s Siri. The audio recordings were then captured in smaller segments totaling 41,000 separate clips which were processed through the Random Forest algorithms.

With this new database of audio clips, the algorithm was able to detect a pattern in speech defined by a lifeless, metallic tone, that has been described by psychologists for years but never quantified.

Thanks to AI and machine learning, we now have a tool to detect PTSD in a matter of hours, from home, with only a smartphone and a short voice recording.

2. AI Music. The next Beethoven?

AI music startups are popping up everywhere and musicians are thrilled.

Is AI the next Beethoven? Well, not yet, but it’s coming!

Since 2017, an Australian AI music startup Popgun has been creating an AI system that can take a recording of a human piano player and respond with a melody that could come next. Within one year the AI system learned so much from this exercise that it could compose and play piano, bass, and drums at the same time.

Other startups have used AI to help musicians create music in a matter of minutes instead of hours of recording, hating it, rewriting, rerecording, and on and on. Other startups have created systems that let listeners create music they want to hear using certain parameters that they like.

While there hasn’t been a hit song created by AI, there has been big collaborations. Jukedeck worked with a Korean company, Enterarts, where the AI system created chord sequences that Jukedeck then took and recorded with human artists.

Since then, there have been many collaborations that use AI to create musical pieces. While AI isn’t creating hit songs, it is empowering musicians in a way that helps them create the music we love.

3. What Is Art? Robots think they know.

Artists are partnering with AI companies to create new takes on old art pieces and one of a kind pieces.


What is art? The highly admired author, Margaret Hungerford, would argue that “Beauty is in the eye of the beholder.” The owner of the algorithm-generated print, shown to the right, took this saying to heart. Through all of the controversy and the pricey tag, this anonymous person bought the print for $432,500 even though it had never been shown in galleries or exhibitions before coming to market.

A collaboration between Dr. Ahmed Elgammal and AI, named AICAN, has created an exhibit devoted to an AI artist. This team argues that art can be anything if it is new and surprising. This AI system, and others like it, takes thousands of art pieces and categorizes them to create a database to work from.

Art databases are nothing new, but once the AI system has this information, it can determine what makes these pieces unique and special. Taking all these inputs, the AI system creates something similar to the original with almost no input, or something unique with minimal input.

While some find this new and surprising, others claim these AI systems and their human counterparts are just stealing ideas, designs, and everything else. Critics say that an art piece created by a third party AI system, using art pieces they didn’t make, is not art.

Either way, advances in AI are extraordinary and give us a better idea of what is to come. Just like the AI system that can detect PTSD in minutes and the AI systems that can develop music, this AI system could one day create one of a kind art pieces custom made for you in minutes.

What do you see coming next? Post your ideas and add @CXONexus to the post to get featured on our next AI Implementation blog post.


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You know that the solution your department purchases and manages could solve for the European marketing’s team needs.

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(Not uncommon).

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Business-led IT investments can be additive (they don't divert money away from the CIO's budget) and they often focus on collaboration tools, analytics and technologies to engage customers or improve, whether it's a new CRM tool or social media analytics.

If spent wisely, these investments can give a competitive advantage to a specific part of the business, whether finance, marketing or sales.

Business leaders are seeking out their own tools to analyze and present data. But these tools are only valuable if employees have the skills and judgment to use them effectively for decision making. 

As long as the CIO retains oversight and can educate the rest of the business about the risks, it can often be a better, cheaper way to achieve the goals of the IT department, especially when it comes to new innovations.

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John Lindsay brings over 35 years of experience at Financial and Research Enterprises. He served as EVP and CFO of The451 Group Research and has held senior finance roles at AMEX & Saatchi & Saatchi.


Ken Male, CEO - has over 25 years of leadership positions in IT and Internet Research working across the C suite, from Gartner to Jupiter to Apptio. Founder & CEO of IT Research firm TheInfoPro (TIP), acquired by The451 Group in 2011. Prior to that, Ken was SVP of Global Sales for Jupiter Research and was active in their 2000 IPO. He led Benchmarking & Data at Apptio from 2013-2015.

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John Lark’s in-depth background includes business and technical leadership, marketing strategy and tactical marketing know-how, SaaS and Cloud innovation and evangelism, marketing strategy, API development, and collaborative growth via partner engagement and development to the CXO Nexus team.
John was formerly Global Vice President of ISV Business Development at SAP Ariba. Prior to that, as the Vice President of Business Development and Partner Cloud Ecosystems at SAP Ariba. John was responsible for developing and launching a new business inside of SAP that melded cloud solutions with partner ecosystems and expertise, API's, and data exchanges that delivered innovative global capabilities to customers that ran the gamut of delivering core enterprise fundamentals to analytics and machine learning to Artificial Intelligence (AI) and bots. John’s efforts led to corporate-wide scale-ability in operations as well as an innovative profit model. John bridged across internal and partner executives and among diverse roles such as Finance, Operations, Legal, Controlling, Product Development and Sales.

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You spend $10M/year with Cisco, but you have no idea how that spend breaks down. 

Your procurement system identifies this spend as networking, but you realize that

  • 20% of that spend is on networking,
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  • 40% is on security,
  • 17% is on Data Centers,
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You realize that some of these contracts extend out for years.

You can begin mitigating this risk by shoring up other vendors who meet your risk standards.








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