I think more and more healthcare will be using AI to cut into the complexity of the market even more than it already has.
Know My Company
Tell us about your interaction with smart technologies like AI and chatbot platforms?
Besides being part of Brain.fm, I’ve interacted with AI in marketing. Using even Facebook’s advertising network, it helps when you understand that you are in fact working with an AI. Your actions and tactics benefit more when you understand how the AI works in order to help you perform.
How did you start in this space? What galvanized you to start Brain.fm?
I actually didn’t start Brain.fm. I have a background in technology and advertising. It was when I heard Brain.fm for the first time that I was shocked at how effective it was. I was able to focus at 10 AM the same way it would normally take me working at 2 AM with two cups of coffee and a project due tomorrow. I used it for three days in a row with the same result and I needed to be part of the company. I called 12 times, finally convinced the inventor to let me work for free to prove myself, moved to head of technology.
Fast forward to today — and I’m CEO of the company. It all came from that “Aha Moment” I first had.
How do you differentiate between technologies for AI and Machine Learning? Who are you competing within this landscape?
We differentiate because we are using AI to make music from the ground up with very specific characteristics. We primarily use AI and machine learning in combination with professional music composers who guide the AI to make effective music and learn from the process and then able to do more of it. We find that with creatives and humans doing what they do best we have an output that fits rapid production while able to train the future machine learning algorithms to handle more in the future.
Competitors are skewed more so in generative music and we compete by having science-backed data with a human touch to guide the technology to develop faster.
How do you project the offering from Brain.fm in the overtly crowded AI for digital landscape?
Our main goals with AI is to help speed up production and deliver more products faster. I believe by not making AI as the main selling point but a “how” it helps us cut through the growing AI landscape.
Tell us more about your ‘Music for the Brain’ platform and how Marketing teams could benefit from it?
Brain.fm creates functional music with AI to help you focus, relax and sleep backed by scientific evidence, testing, and research.
We help people control their mental state on demand in 15 minutes for as long as they are listening to our music. Our research shows that time on task increases 39% or greater when you are simply using our music as background noise. This translates into getting projects done faster or being able to spend more time on a project making sure it is 100% when it goes to market. As a past marketer myself, I believe this an invaluable tool in being able to deliver consistent results which are required of us on a daily basis.
How do you see the raging trend of including involving AI and Machine learning in a modern CIO/ CMO’s stack budget?
We are learning that AI and Machine learning can help us do our jobs faster and more effectively. As we move in the future I think many companies will adopt AI tools into their workflow in order to assist speed and accuracy making their investments in people exponentially increase.
How can music companies and advertising platforms leverage AI to further their reach into audience groups?
We are already starting to see this now — Segmentation and Action.
The further you can customize and experience to groups of people that want it the more results you achieve. As we move forward into being able to further segment audience groups from more than just demographics we will find that we can deliver and suggest products that not only convert more but also actually deliver what people are actually looking for.
How should young technology professionals train themselves to work better with automation and AI-based tools?
You can do two things here; learn AI yourself, or learn how an AI “thinks”.
Learning AI and coding it yourself may be the best option, but for those that don’t have time, logically understanding how an AI learns, grows and evolves can effectively help arm you to work together with an AI. This can be learned through real logic based problems. There are many online courses that are great at teaching logic and critical thinking.
(For example, Brillant.com has some excellent courses.)
How potent is the Human-Machine intelligence for businesses and society? Who owns machine learning results?
This is a question that has many levels of depth depending on when we are asking and for what purpose the application is going to be used for. I believe we are just on the cusp of learning how we as a society decide to do this. Moving forward I think we should benefits of people first – privacy, health, and knowledge should be held to the highest degree.
Where do you see AI/Machine learning and other smart technologies heading beyond 2020?
AI/Machine learning is going to be used to make our lives better, but also help us lead to be healthier than ever. I’m really excited as we get to use AI to map more of the human brain and help start to tackle some of the challenging healthcare systems we currently have to work on in the US and beyond.
The Good, Bad and Ugly about AI that you have heard or predict –
The Good – we will be able to take concept ideas and more quickly than ever. Our ability to gather and process data at a faster speed will develop more breakthroughs than seen before.
Bad and Ugly – Any tool can be used for great things or bad things and it comes down to the person wielding it. Do we allow the things we learn only to people that pay for it? Are we progressing in the right areas to help the human race?
What is your opinion on “Weaponization of AI and ML”? How do you promote your ideas?
In a perfect world, I would say I don’t believe in the weaponization of AI/ML, but unfortunately, we don’t live in one. I think we need to pursue applications of this field in order to stay relevant with other powers that could use this for harm. I do feel strongly there needs to be rigid frameworks and controls on a system of this which should be safeguarded from human agendas.
The Crystal Gaze
What Cloud Customer experience and SaaS start-ups and labs are you keenly following?
As a tech leader, what industries you think would be fastest to adopting Analytics and AI/ML with smooth efficiency? What are the new emerging markets for these technology markets?
I think more and more healthcare will be using AI to cut into the complexity of the market even more than it already has. There is a huge opportunity to understand more about drug interactions, treatment cases, and holistic combinations that can be effective and conducted at a much faster speed.
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What’s your smartest work related shortcut or productivity hack?
Every day, I start with an iced coffee, Brain.fm focus-playing in the background and an open notebook. I write down how long I am working, and what I want to finish in the sprint in a notebook. Then I sit there and get it done and score how I did. This helps me learn how to more efficiently budget time and stay focused on what I need to do.
Tag the one person in the industry whose answers to these questions you would love to read:
Bryan Talebi – Ahura AI CEO
Thank you, Daniel! That was fun and hope to see you back on AiThority soon.
Daniel Clark is the CEO of Brain.fm since 2017.
‘Brain.fm makes music to help you do what you need to do, better. The company uses a patented AI engine to generate music backed by scientific research to help listeners focus, relax, and sleep. While “normal,” everyday music is primarily made to sound good and evoke feelings, Brain.fm works with a team of music composers backed by PhD-led scientific research to engineering music specifically designed to enhance these states within minutes of use.
A pioneer in auditory neuroscience, Brain.fm has recently been recognized by the National Science Foundation with a grant to support its work in the field.’