SAS
Artificial intelligence is one of the biggest buzzwords of the day. Many are asking if AI will change the world. Truthfully, it already has. Our ability to consume and act on data is because of advancements in computing, complex algorithms and intelligent analytical output.
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AWS provides developers a rich ecosystem of services and tooling to make any use case come to life. Learn how MuleSoft can extend services like S3, DynamoDB, SQS to execute on common AWS integration use cases, and deploy integrations on existing AWS infrastructure like EC2 or kubernetes environments such as EKS.
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Businesses depend on timely data insights to stay competitive. But DataOps teams typically have to spend 80% of their time on AI/ML and data science initiatives just getting data ready for use. Discover how to flip the 80/20 rule with “Accelerate AI/ML and Data Science Projects with AI-Powered Modern Data Prep.”
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As anyone who’s worked in BI will tell you, visualization may be the flashy part of analytics, but a lot of hard work is needed in order to ensure the data is primed and ready. While the effort is being made to clean, blend, and normalize data, APIs can be a powerful way to analyze the data as part of the preparation process, augmenting the data set to uncover deeper insights and make the data easier to understand. In this presentation, you will see how natural language processing can be part of your iPaas or data preparation flow, adding structure to your unstructured data and adding metadata to enhance your ability to visualize and communicate insights. There’s data in your data, and it could be the key to maximizing your analytics
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