AWS Partner Network (APN) Blog

Tag: Amazon SageMaker

nClouds-AWS-Partners

Rapid Data Lake Development with Data Lake as Code Using AWS CloudFormation

Data lakes have evolved into the single store-platform for all enterprise data managed. On AWS, an integrated set of services are available to engineer and automate data lakes. A data lake on AWS is able to group all of the previously mentioned services of relational and non-relational data and allow you to query results faster and at a lower cost. Learn how nClouds used code automation via AWS CloudFormation to create a dynamic data lake stack to visualize and analyze the financial market data.

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How to Export a Model from Domino for Deployment in Amazon SageMaker

Data science is driving significant value for many organizations, including fueling new revenue streams, improving longstanding processes, and optimizing customer experience. Domino Data Lab empowers code-first data science teams to overcome these challenges of building and deploying data science at scale. Learn how to build and export a model from the Domino platform for deployment in Amazon SageMaker. Deploying models within Domino provides insight into the full model lineage.

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How Provectus and GoCheck Kids Built ML Infrastructure for Improved Usability During Vision Screening

For businesses like GoCheck Kids, machine learning infrastructure is vital. The company has developed a next-generation, ML-driven pediatric vision screening platform that enables healthcare practitioners to screen for vision risks in children in a fast and easy way by utilizing GoCheck Kids’ smartphone app. Learn how GoCheck Kids teamed up with Provectus to build a secure, auditable, and reproducible ML infrastructure on AWS to ensure its solution is powered by highly accurate image classification model.

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SecuPi-AWS-Partners

Maintaining Control of PII Hosted on AWS with Hold Your Own Key (HYOK) Security

One of the biggest challenges in moving to the cloud for organizations that collect and process personally identifiable information (PII) is the fundamental change to the trust model. SecuPi minimizes changes to the trust model and reduces the risk associated with digital transformations. Learn how SecuPi can help you collect and process sensitive or regulated PII and reduce barriers to cloud adoption while satisfying the trust model requirements of even the most conservative and risk-averse companies.

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Cloud Anything-9

Onboarding and Managing Agents in a SaaS Solution – Using AWS IoT Core

You can manage agents in a multi-tenant SaaS environment using AWS IoT Core. Review a solution that offers a modular and secure approach to register and manage agents. It relies on AWS managed services to offload the heavy lifting of implementing and maintaining those mechanisms, and provides scalability, elasticity, and availability. Using AWS IoT Core for agent management provides various capabilities for managing, securing, and analyzing usage and sent data from the registered agents.

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Analytics-1

Virtusa and InterSystems Join Forces to Enhance Patient Data Integration

Data interoperability empowers the healthcare system to move away from the outdated transaction model of fee-for-services and prescription volume. Learn how Virtusa’s vLife solution provides a secure platform that supports a variety of use cases. By offering services across abstracted and virtualized platform layers, developers can use vLife to more easily deploy solutions that meet the unique requirements of their specific situation.

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IoT-7

How to Deploy AI Inference on the Edge with the LG AIoT Board and AWS IoT Greengrass

The growth of AI in a wide range of applications demands more purpose-built processors to provide scalable levels of performance, flexibility, and efficiency. The LG AIoT board helps customers accelerate their computer vision and machine learning journey using AWS. Learn how to build a simple AI-enabled application with AWS IoT Greengrass that takes advantage of the hardware AI acceleration on the LG AIoT board. AWS IoT Greengrass extends AWS on your device and offers the cloud programming model and tools at the edge.

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Amazon Fraud Detector Can Accelerate How AI is Embedded in Your Business

Online fraud is estimated to be costing businesses billions of dollars a year. As Fraudsters evolve new behaviors to get around preventive measures, businesses need a strategy that enables them to be responsive to new problems as they emerge. Learn how Inawisdom uses Amazon Fraud Detector to accelerate how AI can be embedded in a company’s strategy. What makes machine learning more flexible is its focus on identifying general patterns by looking at lots of examples.

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Six-Nines-AWS-Partners

Breaking Down High Performance Computing Barriers with Amazon FSx for Lustre

Popular in the HPC community and a range of industry verticals, Lustre is a powerful, open source, Linux-compatible, parallel file system. Amazon FSx for Lustre is a fully managed, scalable shared storage solution to power your compute workloads. Six Nines is deeply familiar with HPC storage pain points, and has helped customers address this very issue over the past five years. Dive deep with Six Nines’ FSx for Lustre experience, particularly the high availability, performance, and integration features of its latest releases.

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How to Turn Archive Data into Actionable Insights with Cohesity and AWS

A big challenge for enterprises is how to manage the growth of data in a cost-effective manner. CIOs are also looking for ways to get insights out of the data so their organizations can create actionable outcomes. Learn how the CloudArchive Direct feature of Cohesity’s DataPlatform with AWS analytics services to drive insights into customers’ NAS data. Cohesity is redefining data management to lower TCO while simplifying the way businesses manage and protect their data.

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