"Complex systems thinking is the dominant tool for modeling in epidemiology. Companies use it to model their inventory systems. But using it in economics is harder because the agents have more agency and are complicated."
When it comes to what’s next in AI, the future is already here—it is the strategic and flexible integration of a wide range of AI technologies through a One-AI approach.
"We gave a large number of workers access to GPT-4, without training. The people who had access to it got work done 26% faster and got 12.5% more work done. […]. To put that in context, when steam power was put into a factory in the early 1800s, it improved performance by 18 to 22%."
Increasingly, a selling point for AI-powered products is how well they embody specific values such as safety, dignity, fairness, and helpfulness.
Speed and efficiency used to be the priority. Now issues such as safety and privacy matter too.
Findings from the MIT SMR - BCG Artificial Intelligence and Business Strategy Global Executive Study and Research Project
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