Tag: AWS Partner Guest Post

Mactores used a five-step approach to migrate, with zero downtime, a large manufacturing company from an Oracle on-premises data warehouse to Amazon Redshift. The result was lower total cost of ownership and triple the performance for dependent business processes and reports. The migration tripled the customer’s performance of reports, dashboards, and business processes, and lowered TCO by 30 percent. Data refresh rates dropped from 48 hours to three hours.

Next Caller uses machine learning on AWS to drive data analysis and the processing pipeline. Amazon SageMaker helps Next Caller understand call pathways through the telephone network, rendering analysis in approximately 125 milliseconds with the VeriCall analysis engine. VeriCall verifies that a phone call is coming from the physical device that owns the phone number, and flags spoofed calls and other suspicious interactions in real-time.

AWS Lambda is a particularly desirable environment for HPC applications because of the high level of parallelization it supports. Kx, an APN Advanced Technology Partner, created a q/kdb+ runtime that enables financial institutions to optimize their applications for the serverless environment of AWS Lambda. Q/kdb+ has been widely adopted by the financial services industry because of its small footprint, high performance, and high volume time-series analytics capabilities.

Adapting to the digitally disrupted world is high on the agenda for organizations everywhere. DevOps is a response to this challenge. It lowers internal transaction costs, flattens hierarchies, and makes the IT function more responsive. DevOpsGroup, an AWS DevOps Competency Partner, is addressing this need with the Adaptive IT Framework. It draws on learnings gained helping organizations implement DevOps methodologies, as well as established best practice principles.

Small businesses need support from bankers that understand their business. Lenders, overwhelmed with demand, need help cutting through all of the noise to focus on the most at-risk parts of their portfolio and prioritize engaging those customers. Together, banks, credit unions, and fintechs such as OakNorth can deploy capital more effectively and save the jobs and small and medium-sized businesses that power our economies. OakNorth is s a next-generation credit analysis and monitoring platform powered by AWS.

Data scientists creating enterprise machine learning models to process large volumes of data spend a significant portion of their time managing the infrastructure required to process the data, rather than exploring the data and building ML models. You can reduce this overhead by running Qubole data processing tools and Amazon SageMaker. An open data lake platform, Qubole automates the administration and management of your resources on AWS.

Customers want to use Teradata Vantage to analyze the data they have stored in Amazon S3, but the AWS service that prepares and loads data stored in S3 for analytics, AWS Glue, does not natively support Teradata Vantage. To use AWS Glue to prep and load data for analysis by Teradata Vantage, you need to rely on AWS Glue custom database connectors. Follow step-by-step instructions and learn how to set up Vantage and AWS Glue to perform Teradata-level analytics on the data you have stored in Amazon S3.

Deploying AI solutions with ML models into production introduces new challenges. Machine Learning Operations (MLOps) has been evolving rapidly as the industry learns to marry new ML technologies and practices with incumbent software delivery systems and processes. WordStream is a SaaS company using ML capabilities to help small and mid-sized businesses get the most out of their online advertising. Learn how Slalom developed ML architecture to help WordStream productionize their machine learning efforts.

For many organizations, the amount of data they own and manage is growing at a very high rate, but so is the number of applications they’re responsible for. This growth, coupled with the heterogeneity of technology infrastructure, makes managing IT systems and applications more complex. Veritas solutions, including Veritas Cloud Mobility, help enterprises address information management challenges including backup and recovery, business continuity, software-defined storage, and information governance.

Data is the lifeblood of a digital business and a key competitive advantage for many companies holding large amounts of data in multiple cloud regions. Imperva protects web applications and data assets, and in this post we examine how you can use SQL to analyze big data directly, or to pre-process the data for further analysis by machine learning. You’ll also learn about the benefits and limitations of using SQL, and see examples of clustering and data extraction.