Remove solutions it-lifecycle
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The Role of Human Interaction in a Digital-First World with Tom Martin

ShepHyken

While chatbots and digital solutions are valuable, human-to-human interactions still plays a vital role, especially when technology falls short. When AI pulls information from the customer’s history or a knowledge base, support agents are empowered to have better interactions and efficiently provide the best solution.

Chatbots 296
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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

Manual workflows limit ML lifecycle operations to slow down the development process, increase costs, and compromise the quality of the final product. Solution overview In MLOps, a successful journey from data to ML models to recommendations and predictions in business systems and processes involves several crucial steps.

Analytics 106
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Overview of solution This post focuses on a workflow solution that the ML model development lifecycle can use between the training pipeline and inferencing pipeline.

APIs 101
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Integrate HyperPod clusters with Active Directory for seamless multi-user login

AWS Machine Learning

To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts. The following diagram illustrates the high-level solution architecture. We use TLS termination by installing a certificate to the NLB. Choose Next.

Scripts 77
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Taking Customers Beyond the Honeymoon Phase

bold360 Blog

Like many companies today, the majority of your customer lifecycle marketing budget is probably focused on acquisition, so you have the resources you need during this getting-to-know-you phase. To learn more about the ROI of customer acquisition vs retention, check out One Customer Engagement Solution for the Complete Customer Journey.

Upselling 209
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Build a receipt and invoice processing pipeline with Amazon Textract

AWS Machine Learning

Solution overview The following architecture diagram shows the stages of a receipt and invoice processing workflow. Approved documents are also set up to be moved to Amazon S3 Intelligent-Tiering for long-term retention and archival using S3 lifecycle policies. An AWS Cloud9 environment. Keep everything else as default.

APIs 92
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Host the Spark UI on Amazon SageMaker Studio

AWS Machine Learning

Solution overview The solution integrates Spark History Server into the Jupyter Server app in SageMaker Studio. Automate the Spark UI installation for users in a SageMaker Studio domain As an IT admin, you can automate the installation for SageMaker Studio users by using a lifecycle configuration. install-history-server.sh

Scripts 68