Today, the bank leverages data from many sources-structured and unstructured, streaming and batch-and analyzes the data for insights. With an intelligent data strategy and fully optimized AWS Cloud data solution, Discover is transforming the customer experience and increasing shareholder value. In this session, Discover Financial Services and Accenture discuss their work with moving Discover from an on-premises data infrastructure to the AWS Cloud, which offers advanced analytics. This presentation is brought to you by Intel, an APN Partner.ĪIM204-S: Discovering the value of a cloud data platform By utilizing the Peak AI ML solution powered by Intel on AWS, Footasylum is leveraging ML for long-term success in the modern retail climate. Additionally, learn how Footasylum, a leading UK leisurewear retailer, is globally optimizing its value chain.
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Learn about how easy and cost-effective it is to build customized, intelligent data models leveraging the full power of Intel Xeon Scalable processors. Today, organizations deploy tons of artificial intelligence/machine learning (AI/ML) workloads on AWS. The challenges associated with scalability have been removed in the cloud. This presentation is brought to you by PwC, an APN Partner.ĪIM203-SR1: Take AI/ML from theory to practice with Intel technologies on AWS
It used to take two hours to process a case. In this session, learn how a PwC customer has been successfully using this system for over nine months. PwC performed analysis using a user-centric experience, which allowed the case processor to easily verify outputs and helped build trust and confidence in the machine's interpretation. PwC built an engine that can take in an adverse healthcare/level of service (HC/LS) event case, extract key information, provide an initial interpretation of severity, and triage the case for review. SENTRI is an intelligent automation application platform built leveraging native AWS components to facilitate case processing in the Healthcare industry.
This presentation is brought to you by TIBCO Software, an APN Partner.ĪIM202-S: Artificial intelligence in Healthcare The trained models are developed in TIBCO Data Science and Amazon SageMaker and applied to event streams using services such as Amazon Kinesis to identify hot paths to anomaly detection. In this session, learn about developing cross-sectional and longitudinal analyses for anomaly detection and yield optimization using deep learning methods, as well as super-fast subsequence signature search on accumulated time-series data and methods for handling very wide data in Apache Spark on Amazon EMR.
These sensor data can arrive with considerable velocity. In NAND manufacturing, there are millions of columns of data that represent many measured and virtual metrics. Sensor data on the event stream can be voluminous. Presentations on this page are available on: AWS Events Contentįound a problem with the content on this page? Contact John Rotenstein ~ Intelligence & Machine LearningĪIM201-S: Hot paths to anomaly detection with TIBCO data science, streaming on AWS
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