We shape AI, AI shapes us
I did not get to attend the Gartner IT Symposium back in October, but I did download the "We Shape AI, AI Shapes Us" Keynote Insights. The main concept is an "AI Opportunity Radar" to help CIOs engage their executive peers to form the organization's AI ambitions. One dimension to the radar is "Everyday AI" (productivity) vs. "Game-changing AI" (creativity). The other dimension is "External" (customers) and "Internal" (employees).
There is good information in there; go ahead and download it and read it.
What I liked most is that many things in the report match other things I have been reading and saying. Maybe when Gartner says it, IT executives listen. So be it. A few examples:
AI is not just a technology or a business trend. It is a profound shift in how humans and machines interact.
When I talk about AI & user experiences as impressions, I point out that AI lets people specify the outcome they want vs. performing the steps to produce that outcome. Jakob Nielsen calls AI the first new user interface paradigm in 60 years. AI is just a tool, but tools shape us as we use them. Thus, the title "We Shape AI, AI Shapes Us."
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There are two flavors of AI
Gartner uses "Everyday" and "Game-changing". "Weak" (making simple decisions) and "Strong" (simulating human reasoning) has been used. "Vintage" and "Boring" were used for the first type of AI at an event I recently attended. Two categories are not enough, actually. AI is not a monolith, it is lots of different solutions to various problems.
Become AI-Ready
Gartner has 3 categories of readiness: security, data, and principles. I recently concluded that "If you suck at IT, you will suck at AI", meaning that if you cannot do the basics of data management, user experience design, infrastructure support, etc., then AI initiatives will expose those shortcomings, not hide them.
The metadata is almost as important as the data itself
The information architecture circles I am in have been discussing this. Does the technology replace the smart people who turn raw data into usable information? Or does the technology rely on those smart people?
Net: in spite of the hype around AI, you can talk about important things with "AI".
Pretty cool
Delivering insights that unlock opportunities.
1 年You're quite right to point out that AI isn't an "easy button," and that organizations who already have strong foundations in place (service management, enterprise architecture, data governance) will be much better equipped to take advantage of these new developments with transformers and other models.
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1 年Keith Instone, It's an interesting report.