We have a dedicated track for the most pressing data science issues – discussing AI infrastructure across departments – from managing complex data operations to technical deep dives into reducing token amounts to create efficiency gains. Furthermore, learn from AI model builders how they create robust systems for data compliance, manage model garden offerings and differentiate between proprietary/private and public data sources while considering weights and biases.