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Available On-Demand - This webinar has been recorded and is now available for download.

Embedded Analytics and the Cloud: What You Should Know

Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics

Date: Wednesday, May 25, 2022

Time: 9:00 a.m. PT, 12:00 p.m. ET

In today’s dynamic environment, your organization must stay ahead of the competition. No wonder successful companies are deploying analytics in applications and business processes, then going the extra mile by embedding analytics applications into other applications or processes (such as reports, dashboards, or machine learning models).

Embedding analytics can bring your analytics results closer to your decision makers and applications—often at the point when and where decisions are actually made. Embedding analytics opens analytics up to more of your users and makes data insights more pervasive, actionable, and valuable throughout your organization.

To successfully operationalize and embed analytics, organizations like yours are moving to the cloud to address issues of data scale and performance. For instance, you might need to score a model that’s part of an application that processes high volumes of data, or you might want to embed analytics into a cloud-based application. There are many more and varied use cases for embedded analytics in the cloud.

Join this panel webinar with representatives of Sisense and Amazon Web Services (AWS) to learn about the benefits of embedded analytics and how to get started. You’ll discover how the cloud can help. Topics include:

  • What is embedded analytics and what is its business value?
  • Using the cloud for embedded analytics applications
  • Evolving use cases for embedded analytics
  • Best practices for embedded analytics and the cloud

Guest Speakers

Scott Castle
SVP of Product

Scott Castle is an analytics infusion pioneer bringing over 25 years of software development, go-to-market strategy, product management, and strategic partnership experience to his role as SVP of product at Sisense. Scott is passionate about turning data teams into superheroes that find unexpected insights in big data and disrupt traditional BI. Previously, Scott held technology positions at companies including Adobe, Electric Cloud, and FileNet. Scott holds computer science degrees from the University of Massachusetts Amherst and UC Irvine.

Antony Prasad Thevaraj
Sr. Partner Solutions Architect

Antony Prasad Thevaraj is a senior partner solutions architect in data and analytics at AWS. He has over 10 years of experience as a big data engineer and has worked on building complex ETL and ELT pipelines for various business units. In his current role he helps partners build joint solutions using AWS services, build successful GTM strategies, and also helps in shaping the product road map for partners.

Fern Halper, Ph.D.

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