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Gain a clear understanding of the most common obstacles organizations face when working with data and analytics. From data silos and inconsistent reporting to skill gaps and lack of alignment between IT and business teams — you’ll learn how to identify and overcome these barriers to success.
Explore the key components of a modern data platform, including data lakes, data warehouses, real-time pipelines, and governance frameworks. Learn how to design scalable, flexible infrastructure that supports both current needs and future growth.
Discover what skills and roles are critical to building a high-performing data and analytics team. Understand the balance between technical expertise, business knowledge, and the ability to translate insights into action — plus practical strategies for recruiting and retaining top talent.
Move beyond the hype and focus on how machine learning can create real business value. Learn how to identify the right use cases, measure impact, and align ML projects with business goals to drive measurable outcomes and competitive advantage.
Get practical guidance on when and how to move data infrastructure to the cloud. Understand the benefits, trade-offs, and key considerations for cloud adoption, including cost, scalability, security, and hybrid models that may be right for your organization.
2025