The power of AI in customer experience


According to Gartner, 85% of customer interactions will be managed without a human by 2020. Today’s customers live in an omnichannel world and expect highly relevant and personalised experiences with every interaction. But most companies still force these evolved customers onto engagement paths that are steeped in legacy and instantly feel outdated. This webinar will explore how artificial intelligence can be successfully employed to provide an intelligent, convenient and informed customer experience at any point along the customer journey. Join Tiffany Carpenter, head of customer intelligence at SAS UK & Ireland, and Caroline Hermon, head of artificial intelligence, as they take a look under the hood at some real-life use cases of how leading-edge companies are already reaping benefits from AI applications in customer experience and gaining competitive advantage.
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To start Enterprise Miner, start SAS and then type miner on the SAS command bar. Submit the command by pressing the Return key or by clicking the check mark icon next to the command bar.


Trends for Modernizing Analytics and Data Warehousing in 2019


Brand new research published from Dresner Advisory Services digs deeply into the trends in 2018 around big data analytics. Where are organizations heading in 2019? How are analytic and data warehouse architectures evolving to enable faster and deeper self-service analytics and BI for organizations looking to create a competitive edge? How is public, private and hybrid clouds factoring into deployment decisions? What are the hottest open source projects from Apache Spark to Kudu, Kafka, Hadoop, and beyond?
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Getting started with data science platform is used across industries to help enterprises accelerate AI from research to production by simplifying DevOps and dependencies involved in building production-ready ML. Whether you’ve just begun the free trial, you’re a new user, or you’re interested in looking deeper into features, we invite you to join us in a live workshop on how to get started using
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Predictive Analytics vs. Data Science: Why We Built One and Not the Other

In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Adapting Your Data Science & Data Analyst Career

The explosion of data means that data scientists and analysts need to understand how to manage big data and how to use automation tools to help deal with the data overload. What do you need to do to prepare your career for this emerging reality?
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