# Survey `kaal:entity:survey` **Status.** derived This node is assembled mechanically from the 2 claims that carry the concept tag `survey`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 2 claims across 1 works, 2019 to 2019. **2019** - [3409548-026](https://wulfkaal.github.io/claims/3409548-026) [empirical/evidenced] -- Artificial intelligence and machine learning are used far more heavily for idea generation and portfolio optimization than for execution: two thirds of surveyed funds use them to generate trading ideas and optimize portfolios, while only just over a quarter use automation to execute trades. > Two-thirds of respondents use AI/ML to generate trading ideas and optimize portfolios.101 Just over a quarter of respondents use automation to execute trades. Kaal, Financial Technology and Hedge Funds (2019). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3409548 - [3409548-027](https://wulfkaal.github.io/claims/3409548-027) [empirical/evidenced] -- Adoption of artificial intelligence in hedge funds remains partial rather than total: more than four out of ten survey respondents still rely on conventional human thinking to guide their investment processes. > However, more than four out of ten of survey respondents still rely on conventional human thinking to guide their investment processes. Kaal, Financial Technology and Hedge Funds (2019). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3409548 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/survey.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.