Sharing an informative article by Sarah McKenna (CEO of Sequentum & Forbes Technology Council Member), The Importance Of Transparency And Trust In Data And Generative AI. It includes factors for responsible data collection (aka scraping) and web data usefulness for AI post processing. She touches on security, adherence to regulatory requirements, bias prevention, governance, auditability, vendor evaluation and more.
In the age of data-driven decision-making, the quality of your outcomes depends on the quality of the underlying data. Companies of all sizes seek to harness the power of data, tailored to their specific needs, to understand the market, pricing, opportunities, etc. In this data-rich environment, using generic or unreliable data not only has the intangible costs that prevent companies from achieving their full potential, it has real tangible costs as well.
Professional data extraction requires adequate proxying to keep anonymity of scraping robots. When attempting to extract large data sets (over 1M records, ex.