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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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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models. Yuanjun Xiao is a Solution Architect at AWS.

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Brand matters… now more than ever

C Space

A leader in the consulting world for more than 20 years, Charles has a successful track record of reinventing companies, brands, and experiences through co-creation and collaboration with customers. The risk: In a world where everyone is concerned about constructing their own personal identities, brands that stand still lose relevance – fast.

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More Than Just Number-Crunchers: How Accountants Provide Value-Added Services

Method:CRM

Large accounting firms have part-time CFO services ready for hire, but smaller groups, including specialized CFO consultancies and independent contractors, are also getting in on the part-time CFO game. It’s a win-win for both parties.

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Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing

AWS Machine Learning

fit the model sklearn estimator.fit("s3://" + bucket + "/training data") # construct predictor from trained model predictor = sklearn_estimator.deploy(instance_type="ml.c4.xlarge", He works with government, non-profit, and education customers on big data and analytical projects, helping them build solutions using AWS.

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

CustomerSuccessBox

Learn and apply basic statistical tools to solve real-world Customer Success problems Track churn accurately Measure and interpret NPS and CSAT in new ways Construct predictive customer health scores Increase forecasting accuracy Improve business results. Creator: Nils Vinje , Founder & CEO, Glide Consulting.

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Contact Center Performance: How To Turn Operations Around When Things Are Going Bad?

NobelBiz

This kind of KPI helps you assign a cost to process this type of request, by comparing it to the hourly wage of a consultant for example. Data Management is key Even though big data is at the heart of an organization’s digital transformation, it is still important to understand how to acquire and handle data efficiently.