I am writing a book on artificial intelligence, what are the biggest challenges that you have had applying AI to your business or to clients?

I am happy to volunteer! I have a more "classical" background in mathematical statistics, and I have followed the distribution of artificial intelligence with great interest and curiosity; also because, I feel, that the actual application and real life-value of AI-implementations often drowns in technical aspects. So what is actually delivered is more the Data Scientists "wet dream" rather than something, that works in real life. If you are interested, feel free to contact me. Best regards Kenneth Wolstrup

Clinical Decision Support coupled with cost optimization will grow over the next ten years in light of AI and Amazon development. So what do I mean in a practical sense by this? Say you are a patient with abdominal pain. Your doctor thinks you may have a gallstone, but it could also be a kidney stone or perhaps a bulging disc in your back among other conditions. A test would help your doctor diagnose you. But what test? It could be an ultrasound, CT, MRI, or a nuclear medicine study along with blood work. But what would be the best test for you given your medical history, past tests you've undergone and cost of the tests in the area? This is way too much information for a busy doctor to analyze in a 15-minute office visit. Ahh, but there is an AI platform with all your past medical history and costs of local services Amazon has figured out. Your doctor, working in conjunction with the platform can enter relevant clinical information based on their physical exam and interstation with you to determine the optimal test to order to diagnose your condition. This would result in high-quality, cost-effective care to be delivered with the help of AI in collaboration with your doctor's input. How does this change the job of a doctor? Well, it would make them more efficient and able to provide higher quality. They would need to learn how to interact more closely with an AI platform and recognize a stronger partnership with technology. As a result, decrease mental burden and job satisfaction would result. Ultimately, there could be lower rates of provider burnout and increased job satisfaction with more individuals wanting to enter medicine. This could help address our issues around limited access in light of an aging population requiring more services.

Without more detail it is hard to make a good recommendation. Since I don’t know your exact needs I will share the best AI based chat tool I have seen. It is offered by a company called NextIT. You can see it in use at goarmy.com. If navigate there and chat with Sgt. Star you can ask him just about anything you can think of and you will get a good and accurate response.

One of the most innovative uses of AI that I've come across recently is using it to analyze sales calls. They're able to break down conversations into digestible/searchable topics. From here, they analyze what phrases and topics lead to/away from conversions.

1) Look through posts and just and tally which "side-topics" show up the most within the last week. Rank them. The top two side-topics for each group will be the most promising ones to suggest to that group in the future. You'll basically be making a 'word cloud', like this: https://www.jasondavies.com/wordcloud/ 2) To test your new hypothesis, occasionally start making your own posts on the groups with links to articles about the most promising side-topics you've identified. Either make brand new posts, or cross-post from other groups. See how popular the posts are. 3) If not, move to the next most popular side-topic and do some tests with that. 4) Repeat steps 1 - 4 (each time you do step 1, use the most recent week of posts) If you'd like more detailed advice on how to do this, and test its effectiveness with regard to your specific groups, let me know, best, Lee