Watch a 28-minute conference talk exploring practical approaches to building and scaling data analytics and machine learning teams, moving beyond trendy AI discussions to focus on real-world applications. Discover why data-driven decision-making and task automation through machine learning are crucial elements for companies transitioning from startup to scale-up phase. Learn the fundamental steps for establishing a new data team's product-market fit within a scale-up environment, including how to build a robust data platform and implement initial analytics and ML use cases. Gain insights into overcoming growth challenges using Team Topologies concepts when demand increases, ensuring sustainable scaling of data initiatives. Understand actionable strategies for creating successful data and ML teams, particularly valuable for data professionals, engineering leaders, and growing startups looking to establish their own data success stories.
Overview
Syllabus
Beyond the hype: practical steps to establish and scale your data & ML team | Ellissa Verseput
Taught by
LeadDev