3 Interesting Industries AI will Revolutionize
We all know of the major industries that will experience a paradigm shift with AI, but what are some lesser-known industries that will experience the same?
Thousands of blogs, social media posts, and other news articles have discussed both the potential and danger of shipping AI to greater heights across multiple industries. The evolution of such within search engines is only the first falling domino of many. As a PM within the AI space, I couldn’t have been happier to be part of this ignition.
But what are 3 industries in which some don’t get enough visibility in the AI discussion — at least in recent times? How can AI revolutionize these areas, and are there specific use cases that could completely change?
Music Production
I’m not just talking about algorithms in music recommendation. I’m referring to the process of creating music in the first place.
Similar to how copywriters will have to watch out for how AI can draft better marketing speeches and sales pitches, music producers may soon be able to dabble with AI-generated music in a much more streamlined way.
Music production at its core involves in-house instrumentals and vocals, and/or digital support. Or, it could be 100% digital — the methods that exist today have never made it easier for composers and producers alike to learn and create.
AI tools that have been released in the past include Google Magenta’s MelodyRNN and Adobe Creative Cloud’s VoCo. The former, built as a “recurrent neural network” — is perfect for training and outputting sequential data like music. At the lowest level — the next note for a musical piece could be literally predicted based on the flow of previous notes… and entire melodies could then be produced.
Now obviously, AI-generated music has a long way to go, and would never top the creativity of humans. However, the use of AI tools to aid in production has never made it easier than today. Use cases include building solid foundational frameworks, playing around with others’ works to create parodies or remixes, and learning potential next notes or beats for a given staff. That’s not even mentioning the current use of AI in generating music video content using UGC, alongside other areas.
And if you still aren’t convinced, just check out these 9 AI music generating start-ups/platforms.
Book Publishing
A traditional industry dependent on traditional publishers and retailers while being established with unbreakable foundations. As a published author myself (I found myself a hybrid publisher), don’t even get me started on where this space could use some new ideas.
In a world where we have old-school publishers, who manage millions of books and supply chains with retailers, and literary agents who help increase the profitability of all parties — where does AI even fall into the picture?
Well, I was stuck in the mud too until I came across this Hackernoon article by Kira Leigh.
Pretty much every part of the end-to-end process of book publishing could be improved using AI tools. For example, when writers first start drafting their manuscripts and run into trouble with submissions to literary agents, why not rely on AI to provide them content-generated feedback on their pieces, or even better — plot ideas, illustrator recommendations based on writing style and story input, and literary agents who best match their style.
Or when a literary agent receives endless submissions, can’t AI help manage them by use of sentiment analysis, genre-tagging, and word counting? Or just thinking about it deeper — why not leverage OpenAI models to provide examples of what a literary agent is looking for as well as which submissions have the highest potential for commercial success?
And that’s only the upstream side of the publishing process. To improve one’s book discoverability among both agents and retailers, many AI models can help both sides: authors and consumers.
For authors, AI could generate suggestions to improve the SEO for a particular writing piece, or even analyze one’s story from a semantic standpoint and give critical reader feedback. As scary as that sounds, a reality with such is almost here… if not already existent.
For retailers, publishers, and agents, one problem AI could solve is tapping into the “hidden gem” space of books and indie authors who have the potential to return a profit but find themselves tangled in the saturated author market. Recommendations on specific authors using sentiment analysis on authors’ works can completely disrupt the current system.
Home Lifestyle
Look, I know what you’re thinking. How could home/lifestyle devices not have enough visibility in the AI discussion?
Well, we already know the complexities of Google Home, Amazon Alexa, and other home devices.
But these are slightly less talked about today compared to half a decade ago, before web3, creator economics, and blockchain became every “tech-savvy” influencer’s favorite buzzword. And perhaps there hasn’t been enough push yet to further explore the niche possibilities of AI in smart home technology.
As we know, smart home devices were designed to optimize the livability of one’s home in many different ways — adjusting room temperatures, turning the lights off through verbal instructions, shouting reminders and alarms, playing music, and even controlling driveway heat. A lot of this is already part of everyday life for many smart homes, so what can still be improved?
This article by Pekka Remula details the usage of raw sensor data in everyday practice thanks to AI.
Sensor data can be trained with ML models to provide homes with new levels of magic. Imagine if the AI can learn about all of one’s habits — when they study when they sleep, when they read, and when noise is produced thanks to guests, babies, or outside construction. Then, through many devices that aid everyday life, adjustments to optimize one’s living experience intensify: warning notifications, dimming of lights for specific times, night-time music, the release of certain scents, or even spitting out motivational quotes.
When food is being cooked or floors are being vacuumed, smart devices could even leverage sensor data to check the internal temperatures of food or remind dwellers when it’s time to clean again. There could be devices that automatically open windows or trigger alarms if food is about to be overcooked.
Anyways… hope you enjoyed this article! Let me know what else there is in the adjacent and beyond.
About Me
My name is Kasey, AKA J.X. Fu (pen name). I’m passionate about (you guessed it) writing, and thus I’ve found myself deep in the abyss on weeknights creating novels. I’ve written two so far: a fantasy/action/mystery, and a romance-comedy. I do this while working a full-time tech PM job during the day.
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