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How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

AWS Machine Learning

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. If discrepancies arise, a business logic within the postprocessing script assesses whether retraining the model is necessary.

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Keeping Your Experienced and Top-Performing Agents Engaged

Balto

Experienced Agents Want to Go Off-Script. Even when you’ve got your playbook dialed in, agents often want to go off-script and make changes. Going “off script” isn’t necessarily a bad thing if you’re getting the results you want. Nearly two-thirds of the agents we surveyed said they wanted changes.

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Top Features of Call Center Software that Are Beneficial For the Efficient Working of Transportation Businesses

Hodusoft

One of the key benchmarks to measure the efficiency of transportation companies is their ability to provide better customer service. The features help to save a lot of time, costs, and resources for the transportation businesses. When it’s about scheduling pickups, an inbound call center software is the perfect solution.

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International Contact Centre Operations Tips & Best Practices

Callminer

Encourage agents to cheer up callers with more flexible scripting. “A 2014 survey suggested that 69% of customers feel that their call center experience improves when the customer service agent doesn’t sound as though they are reading from a script. Let your operations team handle real-time management.

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30+ Most Important Customer Service Skills to Delight Customers

ProProfs Blog

Responding to customer issues quickly through the pre-populated canned responses or scripts can work perfectly well if all you are talking with are robots facing a similar set of issues. 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. .

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Malware detection and classification with Amazon Rekognition

AWS Machine Learning

Since AWS takes ownership of building and maintaining the model architecture and selecting an appropriate training method to the task at hand, users don’t need to spend time managing the infrastructure required for training tasks. script: bash malware_detection_deployment_scripts/destroy.sh -s -p -r. Solution architecture.

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Best practices for Amazon SageMaker Training Managed Warm Pools

AWS Machine Learning

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.