To develop and implement a successful data and analytics strategy, it is essential to understand the interdependencies required to enable data and analytics capabilities and deliver ongoing business impact. These interdependencies also include the skills and roles of everyone involved in working with data, such as business executives, business analysts, and data scientists. A practical road map focusing on being lean and significantly impacting the business is essential to measure and drive success. Attend this workshop to learn how to identify business drivers and convert them into analytic capabilities and data priorities. You will also learn how to create and execute a road map and deliver a compelling executive briefing.

Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, also called a context layer, is a business representation of data that allows organizations to quickly map various data definitions, from multiple data sources to familiar business terms, offering a consistent and consolidated view of data. Join our workshop to gain insights into the foundations of semantic/context layers, their implementation, and the business value they provide by enhancing the utility of your data. The workshop promises an interactive experience, offering participants the opportunity to both understand the nuances of semantic/context layers and actively engage in constructing one.

In an information economy, data is the currency of business. Digital upstarts are disrupting every industry, making it imperative that organizations have a strong data strategy that turns data into insights and profitable activity. Organizations need data to streamline operations and reduce costs, improve decisions and plans, and grow revenues and profits. A data strategy is an enterprise-wide plan to harness data and analytics to achieve business goals. At a high level, it is a blueprint for creating a data-driven organization; at a low level, it is a set of blueprints for designing a data architecture to acquire, transform, and deliver data to business users and applications. Eckerson explains the keys to developing an actionable data strategy, how to build an executable road map, and how to create a data strategy that aligns with business needs based on an organization’s unique circumstances, culture, and data maturity.

Learn from an experienced developer how to use an open source vector database to power your GenAI chatbots, ecommerce recommenders, or similarity search-based apps. Learn the fundamentals of vector embeddings, vector indices, vector databases, and vector search, and gain hands-on experience using them in an application. The workshop starts with a brief introduction to neural networks, setting the stage for understanding vector embeddings. Next, we delve into the workings of vector indices and how to make informed choices among them. For the rest of the workshop, Bergman walks you through a practical project, embedding GitHub project documentation, storing vectors in Milvus, and conducting structured queries to answer questions based on the documentation. No prior experience required!  Just bring your own laptop, with Python 3.10 or higher installed, and your favorite IDE such as VS Code.