29 lines
1.1 KiB
Markdown
29 lines
1.1 KiB
Markdown
file-path:: file://C:/Users/david/Zotero/storage/JYMT5I49/Sunkle et al_2022_AI-driven streamlined modeling.pdf
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title:: hls__Sunkle et al_2022_AI-driven streamlined modeling
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-
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- Still, there is a long way to go
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ls-type:: annotation
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hl-page:: 1
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id:: 631cbcaf-ed2c-454c-8dc2-c1bd88e04f22
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- abstraction and automation
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ls-type:: annotation
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hl-page:: 1
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id:: 631cbcb9-6d47-4e96-8e54-d3445e3b8cd4
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- cognification or use of AI techniques can drastically improve the benefits and reduce the cost of adoption
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ls-type:: annotation
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hl-page:: 1
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id:: 631cbccf-054f-4e0b-a874-1fd4cbf9495c
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- the need to leverage new and upcoming AI techniques in modeling activities
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ls-type:: annotation
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hl-page:: 1
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id:: 631cbd1b-8a93-405e-9e63-4ebbeea31522
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- embracing different kinds of models working with different kinds of data
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ls-type:: annotation
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hl-page:: 1
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id:: 631cbd20-a3f7-419d-b148-29103689c0f8
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- we shifted the gears to using models to analyze and aid in enterprise problem-solving
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hl-page:: 1
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ls-type:: annotation
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id:: 63345caa-8cc0-4b84-8554-778bc7a05566
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