AWS Partner Network (APN) Blog

Tag: Amazon SageMaker

Amorph Systems-AWS-Partners

Advanced Industrial Connectivity with AWS and Amorph’s SMARTUNIFIER

Industrial data exists in different components and systems, in various formats, and with separate access protocols. To harness this data and benefit from the synergies of system-wide interoperability, businesses must effectively digitize shop floor data. Learn how Amorph Systems’ SMARTUNIFIER software complements AWS services to deliver leading-edge connectivity for Industrial Internet of Things (IIoT). Amorph Systems is a leading developer of software technologies and products for industrial connectivity.

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How the TCS EZ Lake Access Solution Simplifies Data Lake House Access Management

Many organizations leverage unstructured data collected from social media feeds, stock streaming, and data clickstream to gain insights about the needs of their customers. The EZ Lake Access (EZLA) solution developed by TCS centralizes and simplifies access management of the Data Lake House by codifying most of the enterprise access controls in the form of a rule engine. This provides increased efficiencies and easy adoption of the Data Lake House.

Quantiphi-AWS-Partners

Transforming Customer Experience and Boosting Retention with AI-Powered Contact Centers

Today’s global marketplace relies heavily on contact centers for streamlining, maintaining, and maximizing customer service and sales at scale. Explore the role of machine learning solutions in transforming contact centers and the key aspects of Quantiphi’s contact center intelligence (CCI) solution built on AWS. Learn how it helped a U.S.-based consumer healthcare organization address contact center challenges by using custom artificial intelligence and ML techniques.

AtScale-AWS-Partners

Using AtScale and Amazon Redshift to Build a Modern Analytics Program with a Lake House

There has been a lot of buzz about a new data architecture design pattern called a Lake House. A Lake House approach integrates a data lake with the data warehouse and all of the purpose-built stores so customers no longer have to take a one-size-fits-all approach and are able to select the storage that best suits their needs. Learn how to couple Amazon Redshift with a semantic layer from AtScale to deliver fast, agile, and analysis-ready data to business analysts and data scientists.

Palantir-AWS-Partners

How Palantir Foundry Helps Customers Build and Deploy AI-Powered Decision-Making Applications

Leveraging data to make better decisions is critical for driving optimal business outcomes. Palantir empowers organizations to rapidly extract maximum value from one of their most valuable assets—their data. Palantir Foundry solves for the real-world application of AI, and not how it works in the lab. Effective AI is impossible without a trustworthy data foundation, a representation of an institution’s decisions, and the infrastructure to learn from every decision made.

Cognizant-AWS-Partners

Rapid SAP S/4HANA Conversion and Migration from On-Premises to AWS in a Single Step

Cognizant is providing consulting and execution services for SAP customers to migrate the SAP landscape from on-premises to AWS, with SAP S/4HANA implementation on AWS combining SAP S/4HANA conversion and migration to AWS in a single step using the Cognizant migration factory called SmartMove. This solution provides a risk-free, comprehensive solution to transform customers’ SAP landscape into one that’s intelligent enterprise-ready.

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Forrester TEI: The Partner Opportunity for Building SaaS on Amazon Web Services

A new independent Forrester Total Economic Impact (TEI) study shows how SaaS companies have realized a 70% ROI within 18 months, while allowing their teams to focus on customer experience and how to differentiate their offerings. Forrester also found that SaaS providers reduce the risk of failed launches and time to launch by 69-77%. AWS invests in partner success for both business and technical transformation through programs like AWS SaaS Factory, AWS Marketplace, AWS ISV Accelerate, among others.

Change-Healthcare-AWS-Partners

Accelerating Machine Learning Development with Data Science as a Service from Change Healthcare

There is broad acceptance that AI and ML will help improve health outcomes for patients, and make healthcare more affordable. Data Science as a Service (DSaaS) from Change Healthcare is a secure, managed, healthcare data science platform that customers can leverage the embedded datasets and load their own datasets to be linked to deliver transformative and compliant insights. Learn how Change Healthcare built DSaaS to address the needs of practitioners developing AI/ML algorithms.

Reply-AWS-Partners

Taming Machine Learning on AWS with MLOps: A Reference Architecture

Despite the investments and commitment from leadership, many organizations are yet to realize the full potential of artificial intelligence (AI) and machine learning (ML). How can data science and analytics teams tame complexity and live up to the expectations placed on them? MLOps provides some answers. Hear from AWS Premier Consulting Partner Reply how you can “glue” the various components of MLOps together to build an MLOps solution using AWS managed services.

Tealium-AWS-Partners

Where Does a Customer Data Platform Fit in With My AWS Data Lake?

When it comes to evaluating tools and technologies that focus on customer data, it can be difficult to understand how one tool differentiates from the next. Tealium was one of the first entrants in the Customer Data Platform (CDP) category and helped shape the industry. As such, Tealium is uniquely positioned to help organizations make the most of their data and offer more ways to deliver high-quality customer data to AWS in real-time.