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Demo Talk | Research Frontiers | AI Research | All Levels
Deployment, the “last mile” of analytics, remains a formidable challenge. Having said that some of the world’s leading technology firms that specialize in Analytics and Decisioning, are investing heavily in their R&D to build unified platforms that will manage the complete Analytics Life Cycle. Coupled with synergizing Data Access & Data Governance Technologies and related business processes and workflows, these companies are helping address exactly the challenge stated above. So today, friends, I will primarily talk about the “Last Mile” challenge and also discuss how SAS has been helping address this problem, for the developer and data science community at large, both Open Source and SAS. I will walk you through the full Analytics Life Cycle (build🡪 compare🡪 publish🡪govern🡪 consume), and time permitting showcase a small demonstration of the same…more details
Demo Talk | Data Engineering & MLOps | All Levels
Organizations are fast tracking their digital transformations to embrace change with open-source data science. We’ll look at why Apache Spark is the only comparable platform to SAS for modern unified analytics, why it’s the easiest way to migrate to the Cloud and key considerations for building a legacy migration strategy. We’ll present both challenges and opportunities for migration from legacy SAS to PySpark and demo the world’s only fully automated solution…more details Link To Session
Demo Talk | Machine Learning | Cross-Industry | Beginner-Intermediate
As AI reaches critical momentum across industries and applications, it becomes essential to ensure the safe and responsible use of AI. AI deployments are increasingly impacted by the lack of customer trust in the transparency, accountability, and fairness of these solutions. In this demo, we are discussing the latest responsible AI developments in Azure Machine Learning and discuss how these new responsible ML capabilities in Azure Machine Learning and our open-source toolkits empower data scientists and developers to understand ML models better…more details Link To Session
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