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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Kesaraju Sai Sandeep is a Cloud Engineer specializing in Big Data Services at AWS. Don’t change or edit any Block Public Access settings for this access point (all public access should be blocked).

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J.D. Power and Tethr collaborate to fuel customer experience insights

Tethr

Power is a global leader in consumer insights, advisory services, and data and analytics. A pioneer in the use of big data, artificial intelligence (AI) and algorithmic modeling capabilities to understand consumer behavior, J.D. Power site, or request a demo and just mention J.D. The post J.D.

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3 Things Make or Break your Conversational AI Experience

SmartAction

You need big data scientists deploying big data tools like Splunk and Power BI who then work closely with customer insight managers and customer success managers to extract actionable insights. listen where you can schedule a demo. They monitor various end states and outcomes.

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How to Bring Agile Innovation to Customer Success

Totango

An agile approach brings the full power of big data analytics to bear on customer success. View a demo and try it free to experience for yourself how the right technology can bring agility to your CS strategy. 7 Steps to Bring Agile Innovation to Customer Success.

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Step by Step Guide: How Call Centre Outsourcing Works?

Win the Customer

Call centre outsourcing companies are well trained in managing the customer’s data through explicit technologies like big data and various other types of equipment. Below is the mentioned comprehensive guide explaining the working methodology of call centre outsourcing step by step: Step 1 – Prepare the Customer’s Report.

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Extreme Networks Influencer Summit - Quick Take and Pix

Jon Arnold

Marketing (off camera, sorry), moderating a panel with Extreme execs about how the market has changed with exponentially more data now to manage - “new ways, better outcomes”. Last - demo session on opening night. Yes, it’s true - everything is old in Boston - well, almost.

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Predict football punt and kickoff return yards with fat-tailed distribution using GluonTS

AWS Machine Learning

The player data was used to derive features for model development: X – Player position along the long axis of the field Y – Player position along the short axis of the field S – Speed in yards/second; replaced by Dis*10 to make it more accurate (Dis is the distance in the past 0.1