AWS Partner Network (APN) Blog

Tag: Amazon SageMaker

Storm-Reply-APN-Blog-063022

Developing Data-Driven IoT Business Models for Sustainability with Storm Reply

Firms spend substantial efforts to identify and collect quality data streams from different sources. However, identifying and interpreting energy, water, or gas usage patterns and consumption types is sometimes insufficient. In this post, you’ll learn how Storm Reply, combining industry knowledge with its expertise in the development of data analytics platforms in AWS, can help customers in the design, development, and maintenance of secure serverless IoT big data platforms with a focus on sustainability.

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Snowflake-APN-Blog-062722

Enabling Data-Centric Artificial Intelligence Through Snowflake and Amazon SageMaker

Data-centric AI (DCAI) has been described as the discipline of systematically engineering the data used to build an AI system. It prescribes prioritizing improving data quality over tweaking algorithms to improve machine learning models. In this post, explore a DCAI solution built on Snowflake and Amazon SageMaker to serve as a factory for predictive analytics solutions. Learn about Snowflake’s integrations with SageMaker and get hands-on resources to help you put these capabilities into practice.

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Thriving Amid Business Uncertainty with a Modern ERP Core on AWS

Companies that adopt an intelligent enterprise platform such as SAP S/4HANA can ensure they are prepared with a future-ready core. Learn how intelligent ERP environments like SAP S/4HANA deployed on AWS can offer businesses the operational resilience needed to stay viable amid continuing unpredictability. Leveraging AWS-native cloud services introduces opportunities for agile, flexible, cost-effective, co-innovation, and data-driven and scalable solutions for the intelligent enterprise.

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Relevance-Lab-APN-Blog-061622

Accelerating Genomics and High Performance Computing on AWS with Relevance Lab Research Gateway Solution

Running genomics and high performance computing (HPC) workloads is complicated. To address these customer asks, Relevance Lab developed Research Gateway—a solution that delivers secure and scalable research without customers having to do the heavy lifting. This post provides an overview of the solution architecture and standard genomic research workflow, including a walkthrough of how to access Research Gateway, provision products required for their genomics sequencing analysis, and run the analysis.

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Quantiphi-APN-Blog-053122

Gaining Valuable Customer Insights with Advocado and Quantiphi’s Ad Attribution Solution

With multiple mediums of communication, like social media, television, and OTT, marketers are finding it difficult to understand the factors that impact ad conversions, and provide visibility into marketing campaigns. To address this challenge, Quantiphi worked with Advocado, an advertising focused data platform provider, to develop a solution for ad attribution of web traffic to respective offline and online sources on AWS.

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Softcrylic-APN-Blog-050322-1

Finding Value in Your Digital Analytics Data Using Analytics Shift with Softcrylic and AWS

Although the business case for digital analytics is well-articulated, many organizations are looking for ways to build stronger cases around transformations by consolidating data generated across the enterprise with customer behavioral data. Learn how Softcrylic developed the Analytics Shift solution which helps businesses bring Adobe Analytics data into Amazon Redshift to drive deeper insights and data integration.

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Infosys-APN-Blog-042022

Delivering Closed Loop Assurance with Infosys Digital Operations Ecosystem Platform on AWS

A closed loop assurance system predicts network events, such as faults and congestions, that are highly probable of causing service degradation or interruption, and automatically take preventive actions to avert service disruptions. Learn how Infosys leveraged AWS data streaming, data analytics, and machine learning services to ingest, process, and analyze high volumes of data from disparate sources; and to build ML models to predict network events that cause service degradation.

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Provectus-APN-Blog-041322

Machine Learning Infrastructure for Commercial Real Estate Insights Platform

Learn now Provectus looked into how machine learning models were prototyped and evaluated at VTS, and then delivered a template-based solution enabling their data scientists to more easily create Amazon SageMaker jobs, pipelines, endpoints, and other AWS resources. The resulting coherent set of templates, with usage cookbook and extension guidelines, was applied successfully on an ML model that predicted leasing outcomes.

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Scalable and Rapid ERP Analytics with Palantir HyperAuto on AWS

Data is the most important resource available to modern institutions. The challenge is not necessarily generating, cataloging, or storing data, but operationalizing it. Palantir Foundry is an operations platform that leverages existing data systems and analytics tooling to power smarter decision-making. Learn how Palantir HyperAuto can rapidly integrate data from ERP systems and operationalize that existing data against pressing business problems.

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Wipro-APN-Blog-031622

How Wipro-Nuage Helps Silicon Companies Migrate Design Workloads to AWS Cost Efficiently

Silicon design companies require huge compute and storage needs to run their electronic design automation (EDA) workloads. Learn about the business and process challenges of silicon design companies and how Nuage, Wipro’s smart orchestrator solution built on AWS, can help accelerate silicon design and time to market. Nuage can do this through prediction and optimization by leveraging the near infinite compute, storage, and other resources available on AWS.

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