Remove Best practices Remove Big data Remove Healthcare Remove Metrics
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How to Choose the Best Data Visualization Tools

Callminer

Big data is getting bigger with each passing year, but making sense of trends hidden deep in the heap of 1s and 0s is more confounding than ever. As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Contact Center and CX Expos Conferences and Summits – June 2018

Taylor Reach Group

Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Customer Contact Europe will prepare you for the future of customer care by providing pragmatic real world experiences, insight, best practices and tools for embracing and accelerating digital transformation. Is it possible to achieve churn reduction?

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Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

Data must be utilized, stored, and accessed in specific ways, and we have embedded robust processes to ensure our practices comply with our legal obligations as well as align with industry best practices. We then use Kibana and the Grafana UI for searching and filtering logs and metrics. Logging and monitoring.

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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

She holds a master’s degree in Computer Science specialized in Data Science from the University of Colorado, Boulder. Data Lake Architect with AWS Professional Services. She is passionate about solving customer pain points processing big data and providing long-term scalable solutions. Sunita Koppar is a Sr.

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