Just when the world’s awareness and understanding is beginning to get better around AI, folks mainstream nuanced terms and make AI concepts less accessible. In the absence of an accepted global standard/benchmark for AI models, the risk of not achieving shared understanding is quite high. Obviously, NLP != NLU. Change introduction is perhaps important to be mindful of.
Does this image leave you with lots more questions?
There’s circa 20 years separating their advent but I see parallels between how the world went through their “Agile” Transformation journey and how we are getting set up for going through “AI” Transformation.
Sentiments around “Agile is dead!” are expressed loudly now because the ecosystem have made agile methods, mindset and principles too inaccessible by introducing non-standard terms too quickly and requiring complex things to be done early (with not enough focus on ‘so what’ of doing them).
Let me leave you with two questions:
1) Will perhaps slowing down to go faster be a good thing for AI adoption?
2) Will we learn from our various transformation journeys of the past?
About Ravi Jay
Ravi is enthusiastic about all things Agile & Digital in service of building Products that people love to use. Welcomes a good chat on Conversational AI & Gamification. Talk to Ravi on Twitter @ravi_jay1 using #ThinkLookActDigital.
