Category: Intermediate (200)

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.

Many organizations struggle with data silos and manual processes. Apps Associates helps companies build modern data platforms using Amazon Redshift, which consolidates data sources, reduces manual effort, and unlocks valuable insights. The Apps Associates accelerators quickly integrate data from ERP/CRM systems into Redshift to enable advanced analytics while driving cost reductions and revenue growth.

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.

Brands struggle to deliver personalized customer experiences, giving competitors with real-time end-to-end personalization a competitive edge. Mastering personalization requires unifying customer data across systems into a Customer 360 view. RudderStack and AWS make building a Customer 360 in Amazon Redshift easy, as RudderStack handles complex data unification and automatically generates insights while Redshift provides a scalable, performant data warehouse.

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.

Salesforce customers hosted on Hyperforce can now access services over the public internet. Some customers require dedicated, managed connections for compliance or reliability, but Salesforce Express Connect is incompatible with Hyperforce. For direct connectivity from on-premises to Hyperforce, AWS Direct Connect offers guaranteed bandwidth and an SLA. This post provides best practices on using AWS Direct Connect to access Hyperforce deployed on AWS.

Spatial data creates data management challenges. Ellipsis Drive on Amazon S3 solves pain points: no scalable ingestion into a data lake, no interoperable searchability for analytics, no on-demand rendering. Benefits include scalability and time savings on management and transformation by automating ingestion and structuring; faster querying using patent-pending archives; and instant access to data to feed models and apps.

CyberCX built an AWS serverless data lake and data masking solution to enable using production data securely in non-production environments. The modular, AWS-native solution combines AWS services to mask sensitive data in near real-time while retaining data utility. This allows thorough testing and confidence before deployment to production, improving data security and accelerating time to market.

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.

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.