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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging.

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Inside Customer Success: HelloSign

Amity

I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. What metrics do you watch closely?

B2C 0
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Customer Success Management: An Essential Guide

JustCall

Key features Provides customer information like health scores and profiles Allows for customer monitoring and surveys Reporting and dashboards API and integrations Tools to import and export data Workflow Data security Customizable and scalable Notifications Features to manage users and access G2 rating: 4.4 out of 5. out of 5 stars.

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Inside Customer Success: HelloSign

Amity

I watched Account Management transform and evolve over the past few years, especially with the subscription-based economy and the growth of SaaS. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. What metrics do you watch closely?

B2C 60
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The Effective way to Sales, Customer Success, and Implementation Handoff

CustomerSuccessBox

You share educational materials on the product. Customer Success : The metrics by which we will measure the value we are providing to the customer. Meanwhile, Customer Success metrics are customer lifetime value, churn rate, retention/upsells. Learn about actionable metrics in SaaS.

Sales 52
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JustCall vs Aircall: A Comprehensive Comparison in 2023

JustCall

Highlights of JustCall and Aircall Highlights of JustCall: JustCall is a SaaS VoIP application, which is typically used by the following industries: Marketing and Advertising (9.7%) Computer Software (9.3%) Real Estate (8.4%) Education Management (6.6%) Information Technology and Services (6.2%) Others (59.7%

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Fine-tune and deploy language models with Amazon SageMaker Canvas and Amazon Bedrock

AWS Machine Learning

Validation loss and validation perplexity – Similar to the training metrics, but measured during the validation stage. Use the model You can access your fine-tuned LLM through the Amazon Bedrock console, API, CLI, or SDKs. Training perplexity – A measure of the model’s surprise when encountering text during training.

APIs 110