BIG DATA

Machine Learning and Predictive Maintenance Maximizes Healthcare ROI

David Sawatzke
May 08, 2018

Predictive analytics can be used to reclaim millions of dollars in operational costs for healthcare organizations.

As pressure mounts to lower healthcare costs, healthcare delivery organizations are taking a closer look at costs in all aspects of their business, particularly operations. More organizations are realizing there is a huge opportunity to lower operational costs by leveraging machine data and machine learning.

Starting 2018 Off Right – A Look at Glassbeam’s Q1 Highlights

Puneet Pandit
Apr 27, 2018

It has been a productive and exciting start to the year here at Glassbeam, with a number of Q1 new wins and renewals from existing customers.

Elastically adding and removing nodes using akka cluster

SURAJ ATREYA
Aug 07, 2015

This post explores a pull-based master/worker architecture – one that is suitable for anyone who is looking to elastically provision nodes when the load is higher than normal and under-provision when the load is below normal. In this post, the master accepts RSS links from frontend which can be a user submitting links and worker accept one RSS link and extract information such as article’s published date, title and a brief description. All this information is indexed into ELASTICSEARCH.

The era of qoe on steroids

VIJAY VASUDEVAN
Jun 17, 2015

Glassbeam has built a predictive analytics app built for telecommunications operators and providers. This app aims to leverage benefits from our machine learning models. It is designed to automatically turn raw data from networking equipment into actionable operational intelligence. Whether it is solving a support escalation or looking for opportunities to price the services effectively, this app has it. In case you missed it, here is a recent PRESS RELEASE on the QoE app launch.

What’s in the Sauce: The True Picture of the QoE Solution?

Refining the art of query performance

ASHOK AGARWAL
Oct 26, 2014

Ever wonder how we power those “which controller went down today” queries that sprawl 1000s of databases, amounting to 100s of terabytes of log data every day? How do we deal with terabytes of data in a robust and efficient manner? We call it harmonic in memory query management.

We’ve been working with a distributed Cassandra cluster for almost a year. During that time, we have learned a bit about achieving scalability, and along the way we have collected some insight on achieving optimal query performance.

CRN lauds our premier iot offering

Jun 02, 2016

This is HOT OFF THE PRESS – CRN announced that Glassbeam had been included as one of 2014′s hottest emerging technology vendors. Check out this list in CRN’S AUGUST 2014 ISSUE.

Ingesting call-home data — learnings from the trenches

SURAJ ATREYA
Aug 10, 2014

At Glassbeam, we deal with terabytes of data daily. Our SCALAR platform ingests and parses many files in real time. (The files arrive asynchronously and fast!) These files are then picked up for parsing in the order in which they arrive. For such a demanding requirement, we had to design a system which should not only be concurrent and asynchronous but also scalable.

Accelerating the speed to insight with tableau

Aug 06, 2014

Earlier today, we formally ANNOUNCED an important technology partnership with Tableau Software.

Come join our webinar on machine data security

DEVANG MEHTA
Jul 28, 2014

At times, we encounter apprehension from customers, prospects, and partners about how secure end-customer data is on the cloud. To address, these concerns we’re hosting a Webinar with our Infrastructure-as-a-service partner, Dimension Data, next week. And we’ve lined up a star panel including our VP of Engineering, Ashok Agarwal and David McKenzie, Sr. Director, Solutions Architects at Dimension Data for you.

 

Welcoming dimension data to our family of customers

DEVANG MEHTA
Jul 22, 2014

We’re thrilled to announce that Dimension Data has joined our fast-growing list of customers.

The Dimension Data deal is notable for a few reasons. It marks our foray into the Data Center Infrastructure management market – one that we think is primed for capitalizing on the various capabilities of our machine data analysis platform. And, that is exactly what Dimension Data is using Glassbeam for:

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