I believe that it is important to be objective, if not critical, of providers in automotive and raise awareness to the impact on fragile business models when technology replaces the hidden manual portion of reactive solutions.
One way to think about this is to consider the difference between AI and machine learning. AI is a broad term that refers to any system that can simulate human intelligence. Machine learning is a subset of AI that refers to systems that can learn from data without being explicitly programmed.
Many SaaS providers in the automotive space use machine learning to automate some of their tasks. However, this does not mean that their solutions are truly AI-powered. In many cases, the machine learning algorithms are simply used to automate tasks that were previously done manually.
This is where the potential for big tech companies to offer viable alternatives comes in. Big tech companies have the resources to develop AI-powered solutions that can truly transform the automotive industry. For example, big tech companies could develop AI-powered solutions that can:
-Predict customer needs and preferences
-Automate customer service tasks
-Predict and prevent customer problems
-These are just a few examples, and there are many other possibilities.
However, it is important to be critical of the technology that is being offered. Not all AI-powered solutions are created equal. Some solutions may be more effective than others. It is also important to be aware of the potential for AI to be used to replace the hidden manual portion of reactive solutions.
Very interesting Jon,...when big tech begins to offer viable alternatives to long standing SaaS providers in our space.
I believe that it is important to be objective, if not critical, of providers in automotive and raise awareness to the impact on fragile business models when technology replaces the hidden manual portion of reactive solutions.
One way to think about this is to consider the difference between AI and machine learning. AI is a broad term that refers to any system that can simulate human intelligence. Machine learning is a subset of AI that refers to systems that can learn from data without being explicitly programmed.
Many SaaS providers in the automotive space use machine learning to automate some of their tasks. However, this does not mean that their solutions are truly AI-powered. In many cases, the machine learning algorithms are simply used to automate tasks that were previously done manually.
This is where the potential for big tech companies to offer viable alternatives comes in. Big tech companies have the resources to develop AI-powered solutions that can truly transform the automotive industry. For example, big tech companies could develop AI-powered solutions that can:
-Predict customer needs and preferences
-Automate customer service tasks
-Predict and prevent customer problems
-These are just a few examples, and there are many other possibilities.
However, it is important to be critical of the technology that is being offered. Not all AI-powered solutions are created equal. Some solutions may be more effective than others. It is also important to be aware of the potential for AI to be used to replace the hidden manual portion of reactive solutions.