AI's Fork In The Road, Big Data Or High Quality Data
This Forbes article, authored by Gary Drenik, discusses the critical decision point for artificial intelligence, presenting a "fork in the road" between relying on vast amounts of data versus prioritizing high-quality, relevant data. The author highlights the challenges of using large datasets, including data quality issues, data becoming unavailable, and limitations in the reasoning abilities of large language models. Instead, the piece advocates for the advantages of utilizing high-quality, privacy-compliant data sources, such as zero-party consumer surveys from Prosper Insights & Analytics. Examples are provided demonstrating how this approach enables accurate forecasting for retail sales, economic indicators like CPI, and successful stock portfolio management, leading to improved outcomes and sustainability in AI projects.