The world is becoming ever more aware of AI’s potential. There is real momentum, evidenced by the race for global leadership in artificial intelligence.

With the cloud, users are offered abstract Infrastructure as a Service (IaaS*) rather than finite resources they can buy, known as on-premise infrastructure. The cloud can also offer an application (PaaS*: Platform as a Service) or a function (FaaS*: Function As A Service).

“Will machines replace humans?” The year was 1940, and Franklin D. Roosevelt, in a debate with the president of MIT, was worrying about the impact of machines on  the unemployment rate. Sixteen years later, at the Dartmouth conference, Artificial Intelligence (AI) officially enters the pantheon of scientific disciplines.

Artefact has adapted Lean Manufacturing methodologies in order to remedy the seven sources of waste traditionally encountered in artificial intelligence projects.

It’s a Wrap! It has been an inspiring and exhilarating last three days at CogX 2019. We’ve thoroughly enjoyed being at the global epicenter of AI and Data, speaking to future and current industry titans at our stand and taking in an immense depth of knowledge on both highly exciting prospects and deeply pressing issues that are associated with our collective future.

Inspired by the seven « wastes » popularised in lean manufacturing, Artefact has adapted this concept to the field of artificial intelligence. This study is based on more than 30 artificial intelligence projects over the last three years.

The increasing understanding of and experience with artificial intelligence by organisations might seem contradictory given the lack of significant AI implementation within most enterprises.

Artefact’s Top Tips for establishing an AI lab