AI has undergone a remarkable refinement in recent years, as barriers to entry have fallen and a wide range of products, services, resources, and best practices have emerged.
As our focus shifts — finally — from AI itself to the impact that AI can have on your business, the question is no longer how this technology works, but what it can do for you.
While I was there, a student was considering her options for an upcoming artificial intelligence project, and thought of her sister, who happens to be deaf.
In contrast, a deployed AI solution works backwards from the existing needs of the people who will use it.
The project will include researchers, dialogue designers and acoustic speech modelers — among many other groups — all of whom must trust each other to solve distinct challenges intelligently.
How can I avoid ending up with a stranded proof-of-concept?