Infra, and Modules, and AI, oh my!

How Dash Enterprise enables teams to build production-ready data applications

June 26 @ 12pm EDT

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Data is arguably the most important asset of every organization. Every team needs to be data-driven in order to make good decisions. Smart decision-making isn't just about having clean data: teams need to be able to quickly act on that data as well. This requires going beyond historical analyses and pretty charts. In other words, this requires data applications.

Dash Enterprise is the best way to quickly and easily build data applications. Building upon the extensible and robust open-source Dash framework, the Dash Enterprise platform simplifies deployment and security, provides infrastructure support for sophisticated production use cases, and includes enterprise libraries for important features like reporting and embedding. More than this, teams using Dash Enterprise also have access to extensive support from Plotly's team of experts.

In this webinar, we'll discuss everything about Dash Enterprise and how the platform is used by organizations around the world for their production use cases. There will be a demonstration of key platform capabilities, as well as walkthroughs of several real-world customer use cases. We'll also discuss the role of AI within the data app workflow and how AI can enable both better development and improved functionality for end users.

Meet the Speaker

Mingo Sanchez

Mingo Sanchez is a Senior Sales Engineer at Plotly. After graduating from Bowdoin College with a degree in computer science, he started working with organizations in the master data management and data science spaces. Throughout his career, Mingo has partnered with large financial institutions, life sciences organizations, retail companies, and government agencies to help them better understand their data and more effectively serve their customers. Mingo enjoys building relationships with people to understand their pain points and help them solve their most challenging business and technical problems.