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Big Changes Need Big Data 

Playvox

Just over six months later, on January 18, 2022, SoFi was granted a national bank charter. This period of high-stakes decisions and operational scrutiny required a clear and accurate view into many things, including SoFi’s Member Service Teams quality assurance data. The Right Data Needs the Right People.

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Top Customer Success Courses and Training that every CSM needs in 2022

CustomerSuccessBox

In fact, Linkedin named Customer Success Specialist as one of the top emerging growth roles in 2022 showing 34% annual growth in job listings. Read further to know about Customer Success courses that you should be doing in 2022 to grow in your career. Customer Success Courses to pursue in 2022. What you’ll learn.

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Top 10 HR Management Software for HR Managers in 2022

CSM Magazine

Working with large data sets (Big Data) is primarily used for HR analytics. Assess Team is an easy-to-use tool for getting clear and constructive feedback. Although its use is being updated to improve recruiting, measure personnel efficiency, quality, etc.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning

Additionally, for insights on constructing automated workflows and crafting machine learning pipelines, you can explore AWS Step Functions for comprehensive guidance. She then joined Getir in 2022 as a data scientist and has worked on Recommendation Engine projects, Mathematical Programming for Workforce Planning.

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Define customized permissions in minutes with Amazon SageMaker Role Manager via the AWS CDK

AWS Machine Learning

To address this challenge, AWS introduced Amazon SageMaker Role Manager in December 2022. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ).

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning

Distributed training is a technique that allows for the parallel processing of large amounts of data across multiple machines or devices. By splitting the data and training multiple models in parallel, distributed training can significantly reduce training time and improve the performance of models on big data.