Remove 2012 Remove Feedback Remove Metrics
article thumbnail

Security best practices to consider while fine-tuning models in Amazon Bedrock

AWS Machine Learning

Analyze results through metrics and evaluation. Model customization in Amazon Bedrock involves the following actions: Create training and validation datasets. Set up IAM permissions for data access. Configure a KMS key and VPC. Create a fine-tuning or pre-training job with hyperparameter tuning. Use the custom model for tasks like inference.

article thumbnail

25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Evolution of the support rep: from outsourced to in-office

Kayako

A great indicator of this is in 2008 odesk.com had 2,500 job postings 2,500 for “virtual assistant”, and by 2012 that number had risen to 25,000. Customer feedback doesn’t make it back to your company. Customer feedback can be a goldmine for product and marketing teams. The tools and metrics aren’t aligned.

article thumbnail

9 lessons of growth and customer experience from Intercom

Lumoa

Jeff joined Intercom as the 4th employee, customer support engineer, in 2012 and since then has built a large customer support and customer success team. Use all the metrics you want, but in the end it comes down to “How many customers would you be terrified to run into someday in public? Feedback will let you dive deeper into it. “At

article thumbnail

Get to production-grade data faster by using new built-in interfaces with Amazon SageMaker Ground Truth Plus

AWS Machine Learning

Specify the following trust relationship for the role: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "sagemaker-ground-truth-plus.amazonaws.com" }, "Action": "sts:AssumeRole" } ] }. He was part of many AWS service launch, notably Amazon Lookout for Metrics and AWS Panorama. Choose Next.

article thumbnail

Fireside Chat: Natero Shares Tips for Customer Success

Satrix Solutions

Read our interview: Evan Klein: How has the Customer Success industry changed since Natero was first founded in 2012? The title of “Customer Success Manager” wasn’t ubiquitous back in 2012, but today it’s the third most promising job of 2018 according to LinkedIn. What do you advise they focus on?

SaaS 60
article thumbnail

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning

Please share any feedback in the comments! To use the CodeWhisperer extension, ensure that you have the necessary permissions. This policy grants permissions that allow a user to work with scans, including creating scans, viewing scan information, and viewing scan findings. Ítf.config.experimental.enable_op_determinism() tf.compat.v1.Session(