Notable Lack of Case Studies
A.I. is a new and exciting field. If you’re making progress, you’re publishing papers and studies. A.I. development is not kept “under wraps”. Look for information about data, training models, and results. Look for anything that details more than “increased efficiency” and “cost savings”. And if you can’t find it? It’s probably not A.I.
Distinct Lack of A.I. Talent
A.I. is a cutting-edge field. It demands the best of the best. It demands a new breed of technologists. Developing complex AI-powered solutions requires engineers specializing in machine learning, big data scientists, and more. It takes more than a couple “coders” and some coffee. If you want to vet a company’s A.I. claim, ask to speak with the brains behind the scene.
Ambiguity and Obfuscation
A.I. providers should be able to explain (at least at a high level), the models, algorithms, and methods used in their software. I would start with some lowball questions: “What form of A.I. are you using?” or “What is it doing with that data?”. If the answer is unclear or overly anecdotal, chances are there isn’t a real A.I. algorithm running.