DBTB INT Mark Tuttle r
summary
Computing resources become cheap so data becomes the biggest lever for solving messy unsolved problems, and open content is predicted to follow open software into mainstream use within years rather than decades. The talk contrasts tooling and version management for content with software and stresses that correctness of content is harder to define. Advice centers on practical progress: build a working dataset or prototype first then add theoretical or statistical rigor.
AI-written summary · about
chapters (4)
related talks
23mData - UI rEvolution
46mPanel Discussion: What is Hot in Data World in 2022?
35mBad data - anecdotes and examples from the real world
23mData, UI rEvolution
58mUnderstanding Big Data for Software Engineers
47mDigital Decluttering
23m3-Step Path for Fixing Data Discoverability
26mData For The 99%: Unlocking Data Curiosity Across Your Organisation
