Data Analytics & AI Technology Optimization Workshop

0 hours
Whether your organization has already embraced big data or is just beginning its journey, deciding on the right hardware and software components can be a struggle. Identifying and understanding the most effective software architecture, visualization tools and methods of integration with existing databases are essential to a successful long-term big data deployment. WWT developed the Data Analytics and AI Technology Optimization Workshop to help customers better understand how to use big data technology efficiently and effectively.

What to Expect

During this workshop, WWT experts will share insights and use cases from organizations that have successfully deployed architectures specific to their data analytics needs. We will examine the costs, benefits, and differences between architectures, technologies, processes and tools associated with infrastructure and data management. Some examples that have shown a clear path to ROI for customers include the following:
  • High level platform design
  • Data pipeline architecture
  • Data lake creation
  • Data analytics and AI stack build/optimization
  • Production support and sustainment

Goals & Objectives

The WWT Data Analytics and AI Technology Optimization Workshop is a technical and strategic whiteboard session designed to increase your understanding of the hardware and software infrastructure associated with data analytics. Attendees will work with WWT experts to outline big data objectives and strategy, better understand available solutions, and explore the benefits of each as they apply to business objectives.

The workshop is customized based on your organization’s level of knowledge as well as strategic and technical goals. Whether you are new to the subject or have a good understanding of available solutions and are ready to take the next step, we can help your organization better understand, manage and use big data infrastructure effectively.


This workshop gives your organization the opportunity to gain a better understanding of the impact of specific infrastructure and strategies for data management and use case implementation. In addition, you will gain insight into currently available big data hardware and software tools and their key benefits.