5 ways data scientists can prepare now for genAI transformation
Until recently, data scientists and analysts’ primary deliverables were data visualizations, machine learning models, dashboards, reports, and analytical insights used for storytelling. Now, with genAI capabilities, data scientists are called to expand their analytics to include unstructured data sources, help business teams pivot to data-driven decision-making, consult on AI ethics and governance, and help establish…