Machine Learning is a standard word in the market right now and for a substantial support, we can utilize our undertakings in an increasingly powerful and smart route with its help. There’s some evident true applications.
There are an extensive number of chances given the gigantic proportions of data open, you essentially need to consider and locate the imperative request. These are the issues to which people and associations will pay on the off chance that you answer properly.
Machine Learning can help any fields that require creativity. So there are number of opportunities available.
Few examples of areas where machine learning is already doing well are fraud detection, search, translation, ad selection, news personalization etc. The list goes on and on.
In this article, we will share the 12 best ways to people are making money with machine learning. Lets Get Started..
12 Ways People Are Making Money With Machine Learning in 2018-2019
1. Start a Startup
There are 3 different ways to do this that spring to mind promptly.
A.) Make a Research lab
This sort of ML organization for eg: DeepMind is perpetually hatched inside scholastic institutions. The accomplishment of this sort of organization depends only on ability: the obstruction for passage into new AI investigate, especially in center points like London, is to a great degree high.
B.) Find a practical solution/application for existing AI Technology
This sort of ML organization spins around an item based thought, and additionally the fundamental innovation. This can be less in fact testing than beginning a DeepMind, as you are attempting to discover utilizes for existing advances instead of imagining new stuff.
The troublesome piece of this, obviously, is building a practical business around the AI center. This incorporates putting resources into deals, advertising and tasks and in addition drawing being developed/designing ability.
C.) Find a good niche market and start with new ideas, find co-founder, register your business, look for funding then launch the ML product (simple integration can make the magic)
Follow users Grow and you can go for IPO or sell your company to another big org. or stay private by convincing your investors you can easily dominate here if your are fast mover and first mover in this area.
2. Earn by Creating Massive AI Data:
Gigantic amounts of data are required to fuel AI and to train the algorithms that are a piece of AI solutions. Human intelligence develop by observing. Human have a ton of visual and sound-related experiences. An AI system needs to learn similarly and be encouraged with videos and dynamic data.
Wherever you create gigantic AI data and move that at high cost. Enormous instructive research foundations are prepared to pay gigantic sum for huge information. The key standards of AI arrangement is privacy, security, inclusiveness, fairness, reliability, transparency and accountability. The accuracy of the data is the sole influence for cash.
3. Internship Or Contract Job
First get an Internship job by doing free. “Internship is all about experience” – Anonymous Then follow these 25 Ways to Turning Your ML Internship into a Real Job
Now-a-days ML Jobs are the highest paid as per Glassdoor reviews.
4. Publish Book online
For that, I would recommend you grab a copy of Peter Diamandis book,
This book is solely focus on The authors provide exceptional insight into the power of 3D printing, artificial intelligence, robotics, networks and sensors, and synthetic biology.
Bold closes with a look at the best practices that allow anyone to leverage today’s hyper-connected crowd like never before. Here, the authors teach how to design and use incentive competitions, launch million-dollar crowdfunding campaigns to tap into tens of billions of dollars of capital, and finally how to build communities.
Armies of exponentially enabled individuals willing and able to help today’s entrepreneurs make their boldest dreams come true.
Top Reviews from this Book:
“Abundance showed us where our world can be in 20 years. BOLD is a roadmap for entrepreneurs to help us get there.” (Eric Schmidt, Executive Chairman, Google)
“A visionary roadmap for people who believe they can change the world—and invaluable advice about bringing together the partners and technologies to help them do it.” —President Bill Clinton
“I loved Peter Diamandis’ and Steven Kotler’s book Abundance, their writing and their Vision. BOLD is an amazing sequel, a book that every entrepreneur should read. It is inspiring, filled with incredible insights and offers a practical how-to game plan for going big and impacting the world.” (Michael Dell, CEO, Dell Computers)
“In BOLD, Diamandis and Kotler have written another dazzler. A riveting look inside the world of exponential entrepreneurship—action-packed and action-oriented. I’ve purchased a copy for my entire team at Cisco.” (Padmasree Warrior, CTO & Chief Strategy Office, CISCO)
5. Educational Content Be an Online ML Teacher
The current exponential technologies will make an enormous wealth. Learn the ML technologies in-depth and then teach ML to others.
6. Automated Trading Bot
You can make lots of money by creating a complete fully automated trading solutions. Few of them are
“Machine learning and artificial intelligence are increasingly being used to analyse data, trade securities and provide investment advice.”
– Financial Technology Conference at Michigan Law School
You can make lots of money by creating a complete fully automated trading solutions.
Few of them most popular in market are:
7. Join Machine Learning Competitions
Challenge yourself with real-world machine learning problems. Join the ML Competitions and earn money. Kaggle Competitions are very popular.
Few competitions include:
8. Make an App
It’s a great way to make money. In fact, a recent study showed that subscription based apps make 50% more money per user compared to apps with other types of in-app purchases.
Initially Try to develop simple new AI apps on smart phone and earn. The new AI apps in smart phones are an incredible example of the power of AI to transform our society and as AI becomes a greater part of our everyday lives.
We all know AI how have helped facebook to remove thousands of fake accounts and “suspicious behaviors.”
9. Make a service
(Google Vision, Sentiment analysis) where the user – usually a company – has to pay after a number of requests per months by providing an ultimate service.
10. License your Tech
An agreement whereby an owner of a technological intellectual property (the licensor) allows another party (the licensee) to use, modify, and/or resell that property in exchange for a compensation (consideration).
11. Make a Product
New AI chatbots are gold mines to earn.
Make a product like Alexa, Google Home,Siri, Bitsy etc and sell it. We also know how the Siri platform of Apple remains behind the quality level of Google Assistant, which uses some of the same game-changing algorithms that power Google Translate and Google Image Search.
Hence, in the back end you can develop chatbot frameworks for smartphones and at front end you can develop machine learning engines and earn money easily.
12. Selling data to players outside your own industry
A not really evident opportunity to monetize data is to look outside the organization’s business or value chain. There may be various players keen on experiences on financial activity, customer conduct or other pertinent subjects.
These players may be found in amazing fields. Organizations ought to effectively search out these players and investigate innovative joint opportunities.
In summary, you will see a wave of value creation over the coming years resulting from artificial intelligence & Machine learning. You can focus on your strong areas and focus on the companies that are using these technologies to change the game and provide a materially improved experience for humanity.
In the hands of gifted specialists, data combined with the high processing power of computers empowers the creation of machine learning applications with the potential of revolutionizing entire businesses.
These innovations will help companies move from the announcing of pastevents towards monitoring real-time events and, in the long run, towards predicting what is probably to happen in the future.
Given the ongoing advances in machine learning and the twelve innovative ways of making money with Machine learning above, I accept we´re about to observe a real multiplication of companies whose business is vigorously reliant on data exploitation.
Do you have some ideas for making money with machine learning? Let me know.
Thanks for Sharing!