February Webinars

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Thursday, Feb. 3 |  11 a.m. ET (1 hour)

Ask the Expert: How Do We Make Our Data a Trusted and Reusable Asset?

Data quality is a top-of-mind issue for most organizations. During this webinar, we’ll explore common data quality challenges and their associated misconceptions, give participants a clear definition of the different types of data quality, and discuss executing or extending data governance to solve unique situations. You will learn:

• Common misconceptions about data quality.
• Organizational reasons for poor data quality.
• The types and scope of data quality.
• The role of data stewards.
• How to organize a data governance program to support improvement and measurement of data quality.

Available on demand Feb. 4.

Tuesday, Feb. 8 |  11 a.m. ET (1 hour)

Ask the Expert: What Is Deep Learning?

In this webinar, we’ll introduce you to the fundamental components of deep learning and detail how deep learning is different from traditional neural network modeling. SAS expert Robert Blanchard will present and answer your questions at the end of the webinar. You will learn:

• The fundamentals of deep learning.
• How to use deep learning in SAS.
• What autoencoder models are and how they can be used.

Available on demand Feb. 9.

Thursday, Feb. 10 |  11 a.m. ET (Just 20 minutes!)

What’s Next? Key 2022 Trends for Health and Life Sciences

This webinar, part of our Analytics in 20 series, explains that 2021 taught us that preparedness is imperative. Join us and learn what might be next for health and life sciences in 2022. Join us and you'll:

• See how analytics is key to running your business in 2022.
• Learn why innovation and change are the only constants.
• Discover the power of SAS and Microsoft for trusted analytics in the cloud.

Available on demand Feb. 11. 

Thursday, Feb. 10 |  1 p.m. ET (Just 30 minutes!)

Modernize Your Data Visualization With SAS^® Model Manager

Learn how to streamline the model life cycle and get the most value from your analytics investments.

Today, success depends on being agile and adaptive. But when your analytical models languish in production limbo, it’s hard to uncover the insights you need when you need them. With SAS Model Manager, you can easily deploy and manage models and visually explore data through a single, self-service interface. And that means faster answers and better decisions. Plus, by migrating your analytics to SAS^® Viya^® on Microsoft Azure, you can add value to and accelerate the analytics life cycle. Learn how you can:

• Seamlessly deploy models in Azure Machine Learning (AML) by migrating to SAS Viya on Microsoft Azure.
• Visually explore data and create and share smart visualizations and interactive reports.
• Accelerate the analytics life cycle by integrating powerful AI and machine learning tools into your models.

Available on demand Feb. 11.

 

Tuesday, Feb. 15 |  10 a.m. ET (45 minutes)

Unlock the Value of Your Open Source Analytics

Join this webinar to discover the importance of a ModelOps strategy and explore how it can improve life cycle analytics performance and decision making.

You’ll learn how to:

• Build successful blocks and roles within your strategy.
• Use tools for smooth transitions between lifecycle stages.
• Employ responsible AI features to mitigate bias in analytical models.
• Ensure analytical models are appropriately used because of automation pipelines.

Available on demand Feb. 16.

 

Wednesday, Feb. 16 |  1 p.m. ET (1 hour)

Make Smarter, Faster Decisions in Medicaid Management

Powerful analytics, combined with modernized systems, can provide better outcomes for patients and providers. Why attend?

• Learn how a modernized Medicaid enterprise system creates remarkable speed and efficiency in accessing data.
• Access operational and outcomes-based reporting to better meet members' needs.
• Improve your advanced analytics for key insight into programmatic decisions.

Available on demand Feb. 17.

Thursday, Feb. 17 |  11 a.m. ET (1 hour)

Ask the Expert: How Can SAS^® Workload Management Optimize My Cloud Resources by Bringing SAS^® Grid M...

Join this webinar to learn how to get the most out of your cloud infrastructure spending while ensuring the best experience across your entire analytics platform. We’ll show you how to optimize and prioritize SAS workloads within a Kubernetes cluster and how SAS Workload Manager compares to SAS Grid Manager. You will learn:

• How to optimize the use of cloud resources provisioned to support SAS Viya jobs.
• The SAS Viya replacement technology for SAS Grid Manager on SAS^®9.
• How to extend Kubernetes with advanced features like queueing, prioritization, resource management and preemption.

Available on demand Feb. 18. 

 

Tuesday, Feb. 22 |  11 a.m. ET (1 hour)

The Data Scientist Learning Journey: Sequential Data Topics

The analysis of time series and other sequences extends traditional, predictive modeling and machine learning approaches. There is information in the order of the data. Join this webinar to learn about the SAS tools and approaches that have been developed for analysts to extract, model and forecast sequence information. In this webinar, you will:

• Learn how to mine databases to identify sequence, signal components and extract new features.
• Discover how to automatically generate and select models for time series in a large-scale forecasting system.
• Learn how to specify, estimate and generate forecasts for time series from ARIMAX, Bayesian and machine learning algorithms.

Available on demand Feb. 23.

 

SPECIAL EVENT!

Wednesday, Feb. 9 |  10 a.m. ET  (30 minutes!)

SAS Community Trivia, SAS Bowl XVI, SAS^® Add-In for Microsoft office

The SAS Add-In for Microsoft not a new tool. It's a super-powerful resource, only takes minutes to get set up, is available for both SAS^®9 and SAS Viya, and brings the use of SAS analytics and direct data access from popular Microsoft Office products. The tool is well-documented and supported, but may be an asset you've yet to explore. So we decided to (re)introduce the topic in February's edition of the SAS Bowl. Game details and access:

• Scheduled for Wednesday, Feb. 9, at 10 a.m. ET.
• Register for the event here and receive an invite to a Microsoft Teams meeting.
• On game day, join the Teams meeting and access the game here.