AWS Partner Network (APN) Blog

Category: Thought Leadership

KINEXON and AWS Are Pioneering Player Tracking Technology Tailored for Women’s Sports 

Women’s sports have lacked access to data analytics geared towards enhancing their performance. AWS and KINEXON collaborated to develop player tracking technology tailored for women, with key innovations including personalized load management plans based on an athlete’s cycle. This helps establish meaningful performance thresholds derived from data, and build a supportive community to advance equality through sports technology specifically designed for women.

How Accenture’s CCE Solution Powered by AWS Generative AI Helps Improve Customer Experience

Contact centers can improve customer experiences using generative AI, which creates new content and conversations. Accenture’s Connected Customer Experience (CCE) solution incorporates AWS services to provide personalized human and AI interactions. It uses generative AI for agent assist, call summarization, and self-service FAQs. By leveraging generative AI on AWS, CCE aims to enhance agent productivity, reduce handle times, and deliver exceptional customer experiences.

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New Generative AI Insights for AWS Partners to Accelerate Your Customer Offerings

AWS embraces the “working backwards” approach to stay customer-focused. The Generative AI Center of Excellence (CoE) for AWS Partners applies this methodology and collects partner feedback to provide relevant insights, tools, and resources on leveraging generative AI. Recent updates to the CoE include customer research on generative AI adoption challenges, a usage maturity heatmap by industry, and five new use case deep dives covering telecom, automotive, IDP, contact centers, and financial analysts.

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How AWS Partners Can Achieve Sustainability Goals with a Cloud Center of Excellence

Sustainability is a strategic priority for organizations in the global transition to net-zero emissions. Many AWS Partners have chosen to establish a Cloud Center of Excellence (CCoE) to achieve their decarbonization goals. Learn how to incorporate sustainability into your organization with a CCoE and how AWS services can help. With these efforts in place, your business can consider joining the 460 signatories who have signed The Climate Pledge and are working towards carbon neutrality by 2040.

How nClouds Helped OperationsRx Build and Deploy a SaaS Solution on AWS

Discover how a collaboration with AWS SaaS Factory revolutionized nClouds’ approach to SaaS and empowered its team to amplify its capabilities. Leveraging SaaS Factory’s technical knowledge equipped nClouds with the assurance and actionable insights needed to conquer the intricacies of the SaaS cloud landscape. For customers like OperationsRx, aligning with a SaaS Competency Partner like nClouds meant tapping into a reservoir of expertise, strengthened by years of experience from industry-leading experts.

Develop and Deploy Machine Learning Models with Eviden’s Comprehensive Approach to MLOps Assessment

MLOps applies DevOps principles to machine learning, enabling organizations to efficiently develop, deploy, and manage models at scale. Eviden’s 10-step MLOps assessment examines existing models, establishes governance, creates self-service access, scales data analysis, registers models, enables feature re-use, provides data access, tests models at scale, deploys models, and enables API access. This end-to-end approach streamlines model creation and deployment while ensuring governance and consistency.

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Building a Data Foundation for Healthcare Transformation with Redox, Cloudwick, ClearDATA, and AWS

Healthcare organizations have vast amounts of valuable but siloed data. A new solution from AWS Partners Redox, Cloudwick, and ClearDATA helps healthcare customers use AWS HealthLake to extract value from their data. Redox integrates and translates data into AWS, while ClearDATA provides 24/7 security and compliance, and Cloudwick Amorphic enables teams to quickly build analytics and workflows to improve care.

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Starburst Data Products on AWS Accelerate Time to Insight Using Core Software Engineering Principles

Organizations have data scattered across various systems and locations, and although data lakes help centralize data enterprises still rely on traditional systems. Data scientists need access to all data to extract insights for decisions. Starburst offers real-time access to distributed data, challenging the single-source model. Learn how Starburst Data Products enable creating, managing, and sharing curated datasets or data products from diverse sources to simplify analytics and accelerates insights without moving data.

How Startups Can Fast-Track Their AWS Machine Learning Journey with Automat-IT’s MLOps Accelerator

Many startups want to use machine learning but struggle with developing scalable MLOps pipelines. Automat-IT’s MLOps Accelerator helps startups fast-track their machine learning journey and provides an end-to-end automated solution for the ML lifecycle, from data preparation to deployment, leveraging AWS services. With customizable pipelines and dedicated ML experts, Automat-IT empowers various roles to develop, operationalize, and monitor models efficiently.

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Unlocking the Value of Customer Data with Amazon Redshift and RudderStack

Winning and retaining customers requires thoughtful engagement fueled by customer data. While legacy customer data platforms (CDPs) aggregate data, they also create silos. RudderStack’s warehouse-native CDP built on Amazon Redshift provides flexible data pipelines to collect, unify, and activate customer data. This eliminates silos and establishes a single source of truth to enable teams to collaborate and create tailored customer experiences that drive growth.