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LiDAR 3D point cloud labeling with Velodyne LiDAR sensor in Amazon SageMaker Ground Truth

AWS Machine Learning

With a combination of optimal power and high performance, this sensor provides distance and calibrated reflectivity measurements at all rotational angles. Calibration for LiDAR vehicle 5-DOF extrinsic calibration (z is not observable). Calibration for LiDAR camera extrinsic, intrinsic, and distortion parameters.

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

Callminer

This can be done by understanding what the user did prior to the call, either on the enterprise’s website, its self-service application, or on the service offered by the enterprise directly. These types of integrations usually require digital transformation of the contact center and a shift towards omnichannel.

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Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

AWS Machine Learning

As you aim to bring your proofs of concept to production at an enterprise scale, you may experience challenges aligning with the strict security compliance requirements of their organization. Optionally, you can commit to third-party version control systems such as GitHub, GitLab, or Enterprise Git.

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So You Need a Quality Application? Consider These 7 Things

Customer Service Life

At the enterprise level there are some incredible tools out there using machine learning to grade calls for you. Calibrate with all scorers. Quality calibration is a process by which all reviewers ensure alignment on the way they grade customer interactions. This article was originally published on the FCR blog on May 24, 2019.

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Sneak Peek: 2019 Customer Experience Trends

VHT

Spotify, for example, has garnered millions of fans with their music recommendation algorithms that curate Discover Weekly playlists calibrated to individual listeners’ preferences. Success requires prioritizing customer interactions across the enterprise, organizing departments around touchpoints and reworking processes to maximize agility.

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Boost inference performance for Mixtral and Llama 2 models with new Amazon SageMaker containers

AWS Machine Learning

Be mindful that LLM token probabilities are generally overconfident without calibration. Be mindful that LLM token probabilities are generally overconfident without calibration. João helps AWS customers – from small startups to large enterprises – train and deploy large models efficiently, and more broadly build ML platforms on AWS.

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Customer Churn During a Pandemic: What SaaS Companies Need to Know

Totango

Review the metrics that go into building your customers’ health scores , such product usage and adoption, license utilization, business results, engagement, and advocacy, and ensure they are properly calibrated for the current environment. Evaluate and Iterate to Reduce Customer Churn During a Pandemic.

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