{"id":7645,"date":"2026-04-19T10:19:15","date_gmt":"2026-04-19T10:19:15","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/7645\/"},"modified":"2026-04-19T10:19:15","modified_gmt":"2026-04-19T10:19:15","slug":"state-of-the-art-models-can-struggle-with-basic-enterprise-tasks-ai-unicorn-executive","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/7645\/","title":{"rendered":"\u2018State-of-the-art\u2019 models can struggle with basic enterprise tasks: AI unicorn executive"},"content":{"rendered":"

\u201cState-of-the-art\u201d (Sota) artificial intelligence models<\/a> excel at solving complex Olympiad maths but still struggle with everyday enterprise tasks, according to an executive from a top AI unicorn in the US.David Meyer, senior vice-president of product at US data processing and analysis company Databricks, told the South China Morning Post in a recent interview that the very traits making models state-of-the-art could cause issues in basic office work<\/a>. For instance, when tasked with identifying an erroneous number on an invoice, a Sota model \u201cwill oftentimes fix the mistake\u201d rather than simply extracting the error for downstream correction, he said.The discrepancy extends to other highly technical domains as well. While advanced models such as Anthropic\u2019s Claude<\/a> were powerful at coding, they could lag in tasks like data engineering compared with models with significantly more specialised training and data in this area, according to Meyer.<\/p>\n

Data engineering involves transforming datasets at scale and performing cleaning tasks, such as handling null values and zeros.<\/p>\n

\u201cA single model, no matter how large, can\u2019t be equally good at all things,\u201d he said.<\/p>\n

To solve these specific complexities more efficiently, Meyer pointed to the use of small open-source models<\/a> refined with reinforcement learning. This allowed for a specific purpose at a level of training cost \u201corders of magnitude lower\u201d than Sota models, according to Meyer.\"TheThe very traits making models \u201cstate-of-the-art\u201d may cause issues in basic office work, according to David Meyer. Photo: Handout<\/p>\n","protected":false},"excerpt":{"rendered":"\u201cState-of-the-art\u201d (Sota) artificial intelligence models excel at solving complex Olympiad maths but still struggle with everyday enterprise tasks,…\n","protected":false},"author":2,"featured_media":7646,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,2310,2818,53,25,182,6764,6766,6765,6767,1414,156],"class_list":{"0":"post-7645","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-alibaba-cloud","10":"tag-alibaba-group-holding","11":"tag-anthropic","12":"tag-artificial-intelligence","13":"tag-claude","14":"tag-databricks","15":"tag-david-meyer","16":"tag-genie","17":"tag-qwen-models","18":"tag-south-china-morning-post","19":"tag-us"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/7645","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=7645"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/7645\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/7646"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=7645"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=7645"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=7645"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}