logseq/pages/hls__Sunkle et al_2022_AI-driven streamlined modeling.md

file-path:: file://C:/Users/david/Zotero/storage/JYMT5I49/Sunkle et al_2022_AI-driven streamlined modeling.pdf title:: hls__Sunkle et al_2022_AI-driven streamlined modeling

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