Gartner Hype Cycle on AI

Nicely done overview, including the classic hype cycle of AI at the link.

Hype Cycle of AI In The Enterprise AI    By Svetlana Sicular  

We recently published for the wide audience that 2 Megatrends Dominate the Gartner Hype Cycle for Artificial Intelligence, 2020.  Two megatrends – industrialization of AI platforms and democratization of AI – indicate that production workloads and high-scale AI applications are looming in the near future.  This means that AI will be reaching significantly more people via democratization of AI, and it requires industrialized platforms that accelerate and automate the AI development and implementations process to make AI accessible to the masses.

Let’s take a deeper look at industrialization of AI on the Hype Cycle for Artificial Intelligence, 2020. The industrialization of AI platforms enables reusability, scalability and safety, which accelerate AI adoption and growth. If early AI adopters were mostly a grassroots and bottom up movement, the current AI wave is top-down. The C-suite are leading the charge in initiating AI projects now, with nearly 30% of the projects directed by CEOs. These projects aim to swiftly deliver value to the enterprise and catch up with the early adopters. That’s why the Machine Learning profile has already crossed into the Trough of Disillusionment: Simply mastering ML is not enough. The current wave expects AI tools to be on par with the enterprise production requirements and known processes, such as convenient AI development environments, automation of routine tasks, production stability and reliability.  .... 

(Hype Cycle of AI Here)