Machine learning can help you to transition your business model while create a network effect.
Machine learning can enhance your service delivery, but you also need to consider how you will maintain your forward momentum in training while gathering the necessary data for the successful transition.
In order to properly and efficiently implement a successful transition, you must first diversify your gained customer value through innovation. This can be achieved through reassessing the strengths and values of your networks, and how these networks may be leveraged to maximize mutual and company-wide benefit.
Machine learning, which is a form of AI, or artificial intelligence, can vastly increase your service delivery model’s output, efficiency, and ultimately, its worth – both monetary and leverage benefit.
By structuring and implementing true machine learning, your service organization can generate sophisticated training data to enhance your entire organization.
If your service model is transitioning to generating training data, or, transitioning from generating training data only you may want to consider the importance of generating and/or maintaining velocity.
Look at Facebook for a prime example. Facebook’s tagging features is machine learning at its finest. Tagging results in additional training data that can then be used to further train additional machine learning models.
However, you should never focus solely on machine learning benefits. With the data from these learning methods and models, should also be the ability to extract, extrapolate, and disseminate this information should be a priority.
This is especially true when it comes to your customer’s ability to collect and leverage this information. This information should be able to be collected and easily and quickly, enabling them to build from these unique data sets, thus, maintaining the ability to build completely unique data services.
When your customers are attracted to your user interface, the more information can be extracted, resulting in a better service. This creates a climate where more customers request your services.
Looking forward to your feedback on this blog post and to sharing knowledge with you.