Remove Big data Remove Entertainment Remove Healthcare Remove Metrics
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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

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Contact Center and CX Expos Conferences and Summits – June 2018

Taylor Reach Group

The SWPP Annual Conference will provide multiple educational sessions, facilitated discussions on relevant topics, and a vendor showroom, as well as great food, exciting entertainment, and spectacular fun! Big Data & Analytics for Retail Summit : June 6-7, Chicago, IL. Is it possible to achieve churn reduction?

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

AWS Machine Learning

This is backed by our deep set of over 300 cloud security tools and the trust of our millions of customers, including the most security-sensitive organizations like government, healthcare, and financial services. He recharges through reading, traveling, food and wine, discovering new music, and advising early-stage startups.

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Digital Transformation Challenges: Creating Your Action Plan

aircall

Companies rely heavily on reporting without the advantage of data and analytics that are so critical to establishing efficient, productive workflows. In today’s marketplace, automation, digitization, and big data are your friends. Healthcare occupations will likely rise due to a renewed focus on health and well-being.