Today I want to tell you how artificial intelligence can be beneficial in a real-life scenario.

Let’s talk about the Insurance industry since it impacts us all. Sometimes it allows us to pay more of our monthly bills, and sometimes it helps us get to work when bad luck takes out your car! 

 

Managers in the insurance industry would benefit from a modern and powerful drone taking off, going to the field, inspecting a car accident scene, assessing responsibilities, assessing damage and automatically making a determination on the specific claim.

This would be a drastic process improvement that would increase capacity, reduce bad determinations and cut the costs of sending field inspectors. It would be the dreamland of any modern manager. 

Scenarios such as these are the promise of Artificial Intelligence.

 

The challenge is that such scenarios are not feasible right now, at least not at the process level. Why? Two reasons:

 

a) Their is a high level of precision necessary for each of the operations involved in this process (e.g. determining damage with computer vision, analyzing a scene to determine the fault, analyzing reports from the various parties and making a determination…) that computers cannot yet handle. 

 

b) Measuring when A.I. is right and how A.I. is doing in a multi step process and in a situation with potentially misleading data (people may not report the truth about the accident) is a complex endeavour that may end up being more expensive than just sending field adjusters.

In order for A.I. uses such as insurance drones to be feasible, we first need to bridge the gap between business strategy and actual process development. 

 

For large scale A.I. processes to work, it is crucial to be able to measure their effectiveness. Defining what to measure and how cannot be just a technical or product development activity. It is a manager’s responsibility. 

{!firstname_fix}, in this new world where A.I. plays a larger and larger role, you will need to first understand if a product or process requires multiple pieces of artificial intelligence and second, how and what you have to measure to establish if the A.I. works for that process or product.

 

This is the very skill that hundreds of managers, intraprenuers, entrepreneurs and professionals around the world are acquiring by taking my very top class: A.I. product and process innovation.

Today is your last call to enroll at this price and with these fantastic bonuses.

 

https://go.innodemia.com/ai_offer_page

 

Thank you,

 

Paolo