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Federated learning on AWS using FedML, Amazon EKS, and Amazon SageMaker

AWS Machine Learning

He entered the big data space in 2013 and continues to explore that area. He is actively working on projects in the ML space and has presented at numerous conferences, including Strata and GlueCon. Randy has held a variety of positions in the technology space, ranging from software engineering to product management.

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Designing generative AI workloads for resilience

AWS Machine Learning

Observability Besides the resource metrics you typically collect, like CPU and RAM utilization, you need to closely monitor GPU utilization if you host a model on Amazon SageMaker or Amazon Elastic Compute Cloud (Amazon EC2). He entered the big data space in 2013 and continues to explore that area.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

Monitoring – Logs and metrics around query parsing, prompt recognition, SQL generation, and SQL results should be collected to monitor the text-to-SQL LLM system. In entered the Big Data space in 2013 and continues to explore that area. This avoids reprocessing repeated queries. Nitin Eusebius is a Sr. Arghya Banerjee is a Sr.

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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.

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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. This should reference your KPI metrics and lay out a path to achieve each. These benefits give an agile approach a decisive edge over alternatives which put processes and tools ahead of customer interactions.

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New Product Releases for 2018

Spearline

But that’s not all… 2018 is going to be The Year of Data Analysis! Big data is here and we have plenty of it. We replicate call flows into your Inbound Contact Centre or Conference Hubs worldwide, every day, every hour, every minute.if

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What to do with a ‘Watermelon Customer’?

CustomerSuccessBox

*Julie, a Customer Success Manager , with ABC corp (a B2B SaaS firm) is excited about the upcoming annual conference. To identify a watermelon customer, the metric that would help you the most is instead the Customer Intent Score. How will you identify clients experiencing this problem and what can you do to help them? Let’s find out.