Category: Analytics

Getting SAP data into AWS in real-time enables insights for better business decisions, realizes competitive advantages, enhances sharing and collaboration, and improves operational performance. It also provides the opportunity to integrate data from SAP and non-SAP sources. Learn how to extract and integrate SAP data on AWS for use cases like analytics, reporting, AI/ML, and IoT in real-time, using the BryteFlow SAP Data Lake Builder on AWS.

SAP Business Technology Platform (SAP BTP) is a unified, business-centric, and open platform for the entire SAP ecosystem. It’s available on AWS and enables users to integrate and create value from data and extend their SAP and third-party solution landscapes to meet evolving business needs. Learn why you should run SAP BTP on AWS and how it benefits you as an SAP customer to get the lowest total cost of ownership and fastest time to value.

Learn how to leverage Apache Iceberg capabilities with Dremio and Amazon EMR Serverless to scale your business by keeping up with various changes to your data and analytics portfolio. Iceberg is a high-performance, open table format for huge analytical tables specifically designed to mitigate the challenges introduced by unforeseen changes observed by enterprises. Dremio is a data lake engine that delivers fast query speed and a self-service semantic layer operating directly against Amazon S3 data.

Graph databases are useful for solving problems related to connected data, and represent data as nodes and enable organizations to uncover relationships between data that’s not possible with other approaches. Experts from AWS and Neo4j explore four types of databases and the most common applications for each: relational, document, in-memory, and graph. We’ll cover how different industries use graph databases and how they work as part of an AWS architecture.

Infor OS is the foundational enterprise application platform which connects Infor’s various software products and third-party solutions into a complete digital business platform. It enables ongoing innovation with support for AI/ML, integration, hyperautomation, application development, data management, and analytics. The platform delivers everything you need to tackle innovation use cases—from integration to automation and extensibility to data and insights.

Decentralized clinical trials (DCTs) put the patient at the center of the trial experience and incorporate digital technologies like AI/ML to address the challenges associated with traditional clinical trials. DCTs can reshape workflows across the clinical lifecycle—from trial design and patient recruitment to evidence generation. Explore key challenges addressed by DCTs and how SourceFuse is leveraging AWS to build the right solutions for its clients to transform clinical research.

Energy and asset monitoring is becoming an essential part of business. Organizational strategies include environmental, social, and governance (ESG) criteria in its framework to decrease energy consumption and, at the same time, boost efficiency. Learn how Bosch is solving this problem with the help of edge analytics, machine learning, and core Internet of Things (IoT) components provided by AWS, and how Bosch Phantom helps to extract information using a non-intrusive approach.

Population health is a key focus of public health research because it allows healthcare professionals and policymakers to identify and address health issues impacting large communities. Learn how Infor FHIR On Ramp (IFOR) enables customers to leverage the capabilities of Amazon HealthLake with any healthcare data source. IFOR is a new product in the Cloverleaf platform that allows organizations to access and manage data from different sources, without the need for manual data entry or reconciliation.

Companies are looking to extract more value from their data but often struggle to capture, store, and analyze all of the data they generate. Data governance includes a broad set of capabilities, and the right solution is often dependent upon customer requirements as well what services an organization already has in place. Learn how PrivaceraCloud provides a unified and holistic way to manage, define, and enforce policies across storage, compute engines, and consumption methods.

Data ingestion and unification play a key role in ensuring consistency, reliability, and performance of data utilized across any organization. One of the challenge for data solution teams is to design and implement a unified ingestion process so that downstream analytics workloads can easily consume the data. Learn how ASCENDING set up a unified data ingestion system on AWS based on a client’s use case and requirements, and how ASCENDING overcame the technical challenge.