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An Introduction to Data Fabric Architecture
In this course you will learn about the case for a data fabric, when it makes sense to adopt this architecture, how to implement the data fabric architecture, and the implications of a data fabric model for people, processes, and technology.
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Building Your Analytics Strategy for Data-Driven Results
In this course, Rich Fox will provide a framework for becoming a data-driven organization. Students will learn best practices for connecting business strategy and analytics to deliver results, driving faster and more effective decisions.
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The Ethics of Data, Analytics, and AI
This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future.
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Becoming a Data-Driven Organization: How to Position Data as a Profit Enabler
In this class, Julia Bardmesser will show you how to join the dots between data capabilities and business outcomes, using real-world case studies. You will also learn techniques for non-technical storytelling, so you can convert deeply technical subjects like master data management into concepts that business stakeholders can easily grasp.
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Data Architecture Patterns: A Guide to Designing Scalable and Resilient Solutions
By the end of this workshop, students will have a clear understanding of the various architectural patterns used in modern data platforms, how to match them to specific business needs, and how to recognize the strengths and limitations of each.
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Data as a Product: Establishing a Value-Driven Model for BI and Analytics Delivery
This course empowers data and analytics professionals to revolutionize their approach to data. Students will master the concept of data as a product, a paradigm shift from traditional project-based data handling to a sustainable, value-driven product model.
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Human-AI Collaboration: The Key to Workplace Innovation
This masterclass will equip you with a framework for evaluating AI's tangible benefits and understanding its impact on workplace dynamics, ensuring responsible and strategic adoption.
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Stewarding Data: Power, Responsibility, and Impact
In this information-packed half-day class, learn the critical decisions and actions that business leaders must take to maximize returns on data investments across five essential capabilities.
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Metadata in the Modern Data Ecosystem: Tools, Techniques, and Strategies
This course is organized around the lifecycle of metadata—from collection to active use—and the importance of aligning practices with the needs of different roles.
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Data Quality for AI
In this masterclass, Norbert Kremer will examine how data is used across a variety of AI use cases. He will show how AI models with different modalities and scales use training data in very different ways and explain why the large scale of some current models demands new methods of generating training data.
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