Ask the Expert Webinar Series

Scaling Advanced Analytics Across the Enterprise with SAS Custom Analysis Framework

Unleash IoT data—package expertise, operationalize models, and drive outcomes at the edge and in the cloud.


On-Demand (Originally presented: Sept. 23) • Cost: Complimentary

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About the webinar

Wouldn’t it be nice if you could apply the power of analytics across your organization? With the SAS Analytics for IoT framework, advanced analytics can be packaged for use by non-technical users. For instance, predictive modeling, anomaly detection and statistical analysis can be made available in reusable components – accelerating decision-making and putting the power of analytics to use for your entire group (coders and non-coders alike).

You will learn how to:

  • Empower domain experts with AI, without coding.
  • Scale and standardize analytics across the enterprise.
  • Accelerate decision-making from IoT data.

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About the experts


David Frede

Principal IoT Product Manager, SAS

David is a seasoned product manager with deep roots in manufacturing and industrial engineering. Beginning his career as an application and sales engineer, David spent years on the factory floor helping manufacturers implement high-value solutions to improve efficiency, quality and reliability. His hands-on experience with industrial processes and control systems shaped a pragmatic, customer-first approach to solving complex operational challenges.

Over time, David transitioned into roles that bridged engineering with business – translating technical needs into strategic solutions. Today, at SAS, he leads product strategy for advanced analytics and AI-driven applications in manufacturing, helping companies unlock the full potential of their IoT and production data.

David’s background uniquely positions him to understand both the realities of shop-floor operations and the strategic value of enterprise analytics. His passion lies in building tools that empower domain experts, improve process visibility and accelerate industrial transformation.


Priya Sharma

Principal Solutions Advisor, SAS

Priya brings over a decade of experience in developing, delivering and enabling advanced analytical solutions. Her work focuses on creating scalable, data-driven solutions that help organizations unlock insights from IoT and sensor data. She has led multiple end-to-end analytical solution initiatives – from data ingestion and preprocessing to model development, deployment, and operationalization – across industries such as financial services, health & life sciences, manufacturing and energy.

Priya provides strategic analytical consulting to clients, guiding them through the adoption of cutting-edge technologies and helping integrate analytics into their business workflows. Her expertise includes IoT analytics, in-memory analytics, machine learning, artificial intelligence, advanced data mining techniques, in-database processing and model life cycle management. She is also experienced in designing architecture for real-time analytics and decision automation systems.

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