Artificial intelligence (AI) and machine learning (ML) are evolving at a rapid pace. These technologies have the power to change the way businesses operate and humans interact. AI/ML are no longer outliers in 2022 – this technology is applied to virtually every industry, in virtually every category, with major players such as Google, Facebook and Amazon investing billions of dollars in research and Development. As a result, AI/ML has already transformed a vast array of industries and for those that haven’t, it’s only a matter of time.
When it comes to AI/ML, the question I often get is, “What does the rapid impact and growth of this technology mean for how we build software in the future? ?” The answer is that it almost changes everything about how we think about building software. For the past few decades, we’ve viewed software as a tool that automates the tasks you want to accomplish. It is lifeless and does chores for you and rarely elicits an emotion from the user. Thanks to AI/ML, software now acquires a personality in its own right. Now it can be a mentor, CFO, friend, or cheerleader.
#3: For example, when you book a certain number of workouts or services on my company’s platform, my company may congratulate and encourage you, letting you know that you are well on your way to achieving your goal. We are implementing this technology to improve the way wellness businesses operate, as well as the overall consumer experience, and we want to use it to elicit positive emotions in users. We don’t want it to be a dry robotic voice, we don’t want it to feel “artificial”.
As a business leader, you should start thinking about how AI/ML fits into your industry, if you haven’t already. Below are three key factors to consider as this area of technology continues to develop.
Think about voice and personality.
Regardless of your industry, one of the first things you need to consider when entering the world of AI/ML is what type of voice and personality you want consumers to interact with when they use your products. Think of it almost like creating a character. Ask yourself, “What type of person does my client want to work with?” What will be his relationship with this character? » Is your personality that of an adviser? A colleague? A concierge?
In the case of Mindbody, our persona is that of an encouraging coach, someone who encourages consumers along their personal wellness journey. On the B2B side of the platform, according to the company, this persona could easily be shifted to fit a business advisor role, highlighting when an owner hits their first month of $10,000 or $10,000 in revenue. other milestones. Wherever you land, make sure your AI voice correctly represents your brand and meets your user’s needs.
Weight loss app Noom has struck what seems to me an ideal balance between psychology and technology, finding the right voice for its AI-enabled efforts while ensuring that the most important human touch n is not lost.
It’s not a simple process. At Mindbody, we are constantly refining our personality. One of the best ways to do this is to test it on yourself. Does the voice you have developed suit you personally? If not, go back to the drawing board.
Watch AI/ML from a POV EDI.
One size does not fit all, a truism that is even more true when it comes to AI/ML. As you move forward with your efforts, prioritize examining AI/ML from an equality, diversity, and inclusion (EDI) perspective. You want to make sure you’re getting diverse datasets, especially if your own current dataset isn’t diverse.
If you don’t keep the IDE in mind, you’ll probably keep building the same thing for the same people over and over again. This is the opposite of the growth you want to achieve. By testing with a diverse data set and getting feedback from a wide range of people, you can create something for new audiences.
An important part of our global mission is to make wellness available and accessible to everyone. We don’t have just one type of customer in mind. That’s why we try to broaden our knowledge of people from all walks of life.
Remember that AI/ML is not just a specialized technology for solving new problems.
AI/ML isn’t just for self-driving cars. It is a technology that improves all workflow and each task supported by your software. The idea of it being something only used for specialized scenarios is old school, to say the least. It is a technology that integrates information and analyzes data, and uses the resulting information to support decision-making at virtually every level.
Suppose your software is as simple as risk management: AI/ML can calculate the risk level for earthquake insurance. If your application is designed to determine the best flight plans for aircraft, AI/ML will help make this process as easy as possible. Truly, this technology can improve any industry’s operations and overall consumer experience.
If you think leveraging AI/ML is out of your reach or not meeting your needs today, I urge you to reconsider.