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Deploy Python to Microsoft Azure ML, Reinforcement Learning | SAS Viya Release Highlights 2020.1.3

Started ‎03-17-2021 by
Modified ‎03-17-2021 by
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Check out the latest updates to SAS Viya 2020.1.3, including improved chatbot experiences, ability to deploy Python to Microsoft Azure ML, reinforcement learning, more languages for automated explanation and prediction and the NEW SAS Information Governance, an intuitive self- service data portal to analytics and AI.  
 

Hear directly from SAS Product Managers in this month’s SAS Viya Release Highlights video 

 

 

Here’s what you’ll learn about in the Rundown 

 

SAS Conversation Designer  

With the new enhancements to SAS Conversation Designer, you can now improve and automate conversational experiences through proactive prompts and user reminders to respond to an unanswered question. Sometimes we all need a little extra nudge when interacting with chat. Now, you can also help guide the dialogue flow with easy yes/no buttons. 

 

For more details check out:  

What’s New Documentation 

Learn & Support 

 

SAS Model Manager 

This month we are introducing two new exciting capabilities in SAS Model Manager that make it more open-friendly and easier to use: 

  • Use the GUI to easily deploy Python models over to Azure ML. You can now call and use the model in PowerApps, Dynamics 365 and other Microsoft tools.  
  • Get help from the new homepage where you can now access What’s New content, how-to videos, blogs, and documentation directly from the Model Manager interface.  

For more details check out:  

What’s New Documentation 

Learn & Support 

 

SAS Visual Data Mining and Machine Learning  

Are you looking to maximize the overall long-term reward achieved by a complex sequence of decisions? Then check out Reinforcement Learning (RL) in this release of SAS Visual Data Mining and Machine Learning. 

 

RL has famously been used to learn to play games such as checkers, backgammon, Othello, and most recently land a lunar-lander in OpenAIGYM.  SAS can now use real time data to train a Deep-Q Network where previously only a historical (or batch) data set could be used. Not just for fun and games anymore, RL can be used in robotics, process control, health care, trading, finance and much more. 

 

Python users rejoice... as you are now one step closer to operationalizing your analytics models for the real world! In SAS Visual Data Mining and Machine Learning, Python models can now be packaged and registered in Model Studio to take full advantage of model management, thus streamlining model governance, monitoring, and deployment.   

 

For more details check out:  

What’s New Documentation 

Learn & Support 

 

SAS Visual Text Analytics  

If you analyze text data in multiple languages, you’ll be excited to hear that this month, we’re introducing a new capability in SAS Visual Text Analytics that helps you identify and group languages within a set of documents containing multiple languages for faster, more accurate contextual analysis. For example, a business analyst focused on social listening for a brand can now identify and group social media tweets from around the world by language for further analysis. 

 

For more details check out:  

What’s New Documentation 

Learn & Support 

 

SAS Visual Analytics  

Our customers love Automated Explanation and Automated Prediction capabilities in SAS Visual Analytics to help users better understand and automate the discovery process. Customers have asked for these augmented analytic capabilities in more languages, so we’ve added several new languages over the last couple releases: English, German, French, Spanish, Italian, Polish, Thai, Japanese, Korean and Simplified Chinese. 

 

Also new this month, you can increase productivity and style consistency across your SAS Visual Analytics reports by creating custom page templates. Page templates can be saved with or without data. 

 

For more details check out:  

What’s New Documentation 

Learn & Support 

 

Release Talk with Senior Product Manager, Kumar Thangamuthu: 

 

And, last but definitely not least, we debut SAS Information Governance in SAS Viya 2020.1.3, an intuitive self-service data portal to analytics and AI. Data and business users can search and discover cataloged data assets across the organization from multiple data sources. You can explore data assets for quality and fitness of the data before approving for downstream processing.  

 

You can also further prepare data, create reports or build models by navigating from the cataloged data to other SAS Viya applications to continue your analytics journey.  Learn more about SAS Information Governance.

 

7 Ways to Use the New SAS Information Catalog

How to Collect Metadata with the SAS Information Catalog

 

These are just a few of our favorite new features from the SAS Viya February release (2020.1.3). Weve made enhancements to several other products, beyond what’s listed here. For more information on what’s new in SAS Viyaclick here and check out other learning and support resources 

  

To get monthly updates, SUBSCRIBE to this SAS Viya Release Updates Community and the SAS Users YouTube channel. 

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‎03-17-2021 02:10 PM
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