Strata Data & AI Superstream Series—Data Analytics: From Collection to Visualization

This three-part series of half-day online events gives attendees an overarching perspective on key topics in data and AI today, including deep learning, data analytics, and natural language processing. Each of these areas is pushing the boundaries of what’s possible with more computing power, data, and innovative algorithms.

The ability to quickly analyze and visualize your data and make data-driven decisions has become imperative to staying competitive. These sessions will give data practitioners and leaders the skills and competency to deliver high-value analytics to their organizations.

About the presenters:

Galen Silvestri is a Senior Sales Engineer for GigaSpaces, responsible for aligning its unique In-Memory Computing Platform with solutions for Tier 1 Fintech, telecom, transportation, and retail organizations. He has 10+ years in SA/SE roles handling Machine Learning based solutions for real-time fraud and Quality of Experience (QoE), media metadata generation, UX analytics and more. His experience converges via a passion for aligning system integrations for both human and tech stack participants/components towards interoperability at a holistic level, balanced with maintaining best practices & unique workflow at an individual level.

Jennifer Fraser is the director of user experience at design and development consultancy Macadamian. In her almost 20 years as a user experience designer, she’s had the opportunity to work with a variety of clients, from large institutions to small startups, in domains including healthcare, aviation, and finance.

Scott Plewes is Vice President of UX analytics at Macadamian. Over the past 25 years, he’s worked in the areas of business strategy, product design, and development in the high-tech sector, for clients in industries such as aviation, telecom, and finance. For the last several years, he’s primarily focused on healthcare.

Alistair Crollwho is the author of the best-selling book Lean Analytics, shows you how to apply critical thinking to data science. From design and data collection to storage and visualization, you’ll learn how to avoid the most common pitfalls and make better decisions faster as you cover the Lean Analytics framework, the cycle of collection, analysis, presentation, and more. Whether you’re working directly with data, managing analytical teams, or running an organization that relies on data science, you’ll get the tools you need to make informed decisions you can build on.