'Machine learning projects are much more complicated and bigger than machine learning model algorithms.'
Latest from Joe McKendrick
'There needs to be a feedback loop to ensure customers are enjoying the experience as much as you're enjoying creating the experience.'
Successful AI implementation takes more than training data and elastic compute power.
'Bias in AI is not solely a technical problem; it is interweaved across departments.'
Business is bullish on AI, but it takes a well-developed understanding to deliver visible business benefits.
The use of conversational AI tech has been increasingly rapidly, in part thanks to covid.
A call for more awareness and training behind AI deployments. Not just for developers and data scientists, bur also product managers, executives, marketing managers, and merchandisers.
The challenge is putting people first in any and all AI projects. AI practitioners provide recommendations for building a people-centric, yet AI-driven culture