AWS Machine Learning

FEBRUARY 27, 2024

This was the perfect place to start for our prototype—not only would Axfood gain a new AI/ML platform, but we would also get a chance to benchmark our ML capabilities and learn from leading AWS experts. Pavel Maslov is a Senior DevOps and ML engineer in the Analytic Platforms team.

Best practices 110

Best practices Engineering Scripts Analytics 110

AWS Machine Learning

JUNE 5, 2023

This provides an accelerated and more efficient way to find hyperparameter ranges, and can provide significant optimized budget and time management for your automatic model tuning jobs. Autotune uses best practices as well as internal benchmarks for selecting the appropriate ranges.

APIs 76

APIs Enterprise Benchmark Metrics 76

NobelBiz

FEBRUARY 21, 2023

With its intuitive interface and buil-in analytics and reporting engine, it is the go-to solution for contact centers to improve their efficiency, and ensure the accuracy and exactitude f collected data. Benchmarking can also help set realistic performance goals, and provide a solid ground for performance-based actions.

Best practices 52

Best practices Analytics Contact Center Coaching 52

Call Experts

SEPTEMBER 22, 2022

In addition to helping customers, FAQs can improve the customer experience and your business’s search engine rankings. These tools can help businesses track and analyze customer responses, and they can even help benchmark the performance of their support team. If you’re unsure how to handle your helpdesk, contact us.

Customer Service 52

Customer Service Education Call Center Construction 52

ProProfs Blog

JANUARY 31, 2020

There are constant calls, an urge to meet deadlines and a benchmark. Try to finish tasks at a set time, giving yourself time to rewind. . Time Management. Time management is one of the most important customer service skills. Pro-Tips to Have Time Management Skills.

Customer Service 78

Customer Service Customer Support Surveys Feedback 78

AWS Machine Learning

DECEMBER 16, 2022

This is done while also maintaining the benefit of passing the undifferentiated heavy lifting of managing compute instances in to Amazon SageMaker Model Training. In this post, we outline the key benefits and pain points addressed by SageMaker Training Managed Warm Pools, as well as benchmarks and best practices. Benchmarks.

Best practices 76

Best practices Management Engineering Benchmark 76

AWS Machine Learning

NOVEMBER 22, 2023

Manage Amazon SageMaker endpoints – Similarly, for organizations that aim for inference type selection and endpoints running time management, you can deploy open source models on Amazon SageMaker. With cost categories, you can organize your costs using a rule-based engine.

Finance 80

Finance Best practices APIs Accountability 80