Navigating Ethical AutoML, Agile Data Science, and AI Job Frontiers with Favio Vazquez

“When you stop seeing numbers, and you start seeing people in your data sheets, everything changes.” - Favio Vazquez   In this episode, our host, Chris Richardson, interviews Favio Vazquez, Senior Data Scientist at H20.ai.   This conversation dives deep into all things autoML and AI, from what companies are doing now to what data professionals can do to prepare for the future. Favio provides his strategies for screening for bias and competing in a job market where AI is changing how we work.   They discuss: What to expect in the transition from data science in academia to data science in business What it means to practice data science in an Agile environment Why AI and autoML won’t replace data professionals any time soon How to approach ethics in machine learning New roles for data professionals Business-Driven Data AnalysisAs discussed in this podcast, transitioning to a business environment requires a different lens to interpret and analyze data.   A business-driven approach to data analysis enhances decision-making and aligns data projects with organizational objectives.   Our course, Business-Driven Data Analysis, will train you to learn what a stakeholder truly wants, refine the project based on available data, produce results and provide strategic insights.   Learn More