Podcast

Welcome to another episode of the DLT ContinuousX podcast! Today we will be discussing DevOps (and more) with Ryan O'Daniel - Senior Federal Systems Engineer at Sysdig.

Added: January 18, 2021
Solution Brief

High quality data is the most important factor in building machine learning models. The majority of the time, training data presents problems stemming from how the data was produced and labeled internally. Other times, AI projects stall because of the lack of internal resources and skills to label data.

Added: January 15, 2021
eBook

Data labeling is the first step in the Al lifecycle. It is the foundation to developing accurate, predictive models that power a myriad of outcomes. Simply, data labeling is the act of adding keywords to unstructured data, like video, images, audio, or text, so that machines learn to automatically recognize the concepts that these keywords describe.

Added: January 15, 2021
Solution Brief

Search is at the heart of modern e-commerce. The tasks of ranking search results, product personalization and product discovery are critical to driving revenue. AI allows retailers to better capture and leverage the available data that powers personalized experiences.

Added: January 15, 2021
eBook

As Artificial Intelligence's impact on the world continues to grow, more and more business stakeholders will encounter and grapple with the lexicon.

Added: January 15, 2021
Solution Brief

The machine learning techniques that ignited breakthroughs in computer vision are now being applied to language with powerful results. 

Added: January 15, 2021
Publication

This report details our findings about how well Clarifai scored against 10 criteria and where they stand in relation to each other. AD&D professionals can use this review to select the right partner for their computer vision needs.

Added: January 15, 2021
Report

In the Forrester 27-criterion evaluation of people-focused AI-based text analytics platforms, IBM was identified as one of the significant providers.

Added: January 14, 2021
Data Sheet

Hazelcast Cloud<sup>®</sup> is an on-demand managed service for Hazelcast IMDG (InMemory Data Grid). It offers a scalable, shared pool of RAM across multiple dedicated cloud instances to provide low-latency access to your data in a secure, always-on environment. It is maintained by Hazelcast to free you from day-to-day infrastructure management responsibilities. Hazelcast Cloud is available on the Hazelcast website on an annual contract basis or pay-as-you-go.
 

Added: January 08, 2021
Data Sheet

Hazelcast IMDG® is a cloud-native, distributed, in-memory computing platform that helps companies manage their data by using in-memory storage and performing parallel execution for breakthrough application speed and scale. IMDG is the leading open source in-memory data grid on the market with millions of deployed systems worldwide. IMDG is also available in commercial versions ("Enterprise" and "Pro") that add more enterprise-ready capabilities.

Added: January 08, 2021
Data Sheet

Hazelcast Jet® is a stream processing engine designed for high performance, easy maintenance, and resilience. Its architecture entails a distributed engine that leverages in-memory computing to run applications at near real-time speeds. Jet is used to develop both stream and batch processing applications using a directed acyclic graph (DAG) for job planning to optimally leverage resources when parallelizing subtasks.

Added: January 08, 2021
Case Study

To learn more about how agencies can ensure fast backup and recovery of data while maintaining and increasing manageability, GovLoop teamed with N2WS, an AWS-native backup, disaster recovery and archiving solution. This report will discuss why backup, recovery and disaster recovery are challenging for government agencies and the best ways to overcome those challenges.

Added: January 08, 2021
Case Study

The initial application BFAS decided to migrate to AWS proved critical to the day-to-day work of over a hundred individuals within the organization and crucial for advertising and donation collections. Because of its business-critical nature and its quickly growing footprint, the BFAS team needed to find a suitable backup solution for the application and its data. The team turned to the AWS Marketplace to evaluate backup solutions and quickly discovered N2WS.

Added: January 08, 2021
Case Study

Gett has strengthened its position for an IPO with a robust AWS business continuity strategy—and saved $60,000 a year in the process. The company provides a taxi-hailing app for consumers and businesses in 120 cities around the world. It uses a backup and restore solution from N2WS to secure its Amazon EC2 and Amazon RDS instances. N2WS is an AWS Advanced Technology Partner with an AWS Storage Competency.

Added: January 08, 2021
Data Sheet

The promise of the cloud is a more agile, cost-effective and disaster-proof way to scale. However, this promise comes with some fine print - Amazon Web Services (AWS) and other public cloud providers guarantee the safety of your infrastructure but not your data. N2WS is a leading backup, disaster recovery and archiving solution for AWS, including support for: Amazon EC2, Amazon EBS, Amazon RDS, Amazon Redshift, Amazon Dynamo DB, Amazon EFS, Amazon FSx, and Amazon S3. Manage cloud data from a single easy-to-use console.

Added: January 08, 2021