MACHINE DATA ANALYTICS

Our take on why machine data is inherently safe

DEVANG MEHTA
Jan 26, 2015

Security remains one of the primary impediments to broad IOT adoption across the industry. Our sales and business development teams face similar objections to the adoption of Glassbeam. We held a Webinar last year, with our partner Dimension Data, that articulated how we ensure security in machine data in terms of encryption, secure transportation, multi-tenancy and more.

Tis the season for 2015 iot predictions

DEVANG MEHTA
Dec 10, 2014

As 2014 draws to a close, we’re looking ahead with much anticipation for what promises to be a signature year for the Internet of Things in 2015. We’ve distilled and ARTICULATED OUR KEY EXPECTATIONS for 2015 just earlier today.

Make way for intelligent hospital infrastructure (ihi)

PRAMOD SRIDHARAMURTHY
Nov 25, 2014

Make Way for Intelligent Hospital Infrastructure (IHI)

When you think of possible scenarios that could shut down a hospital, it is usually fire, earthquakes, or some form of physical disaster. However, there is growing threat to medical institutions of all sizes from medical equipment failure. Medical device failure occurs when the device fails to perform its intended objectives. These failures can cause unexpected adverse incidents as the safety of the device users (including patients) and technicians may be at stake.

Partnering with mphasis – global si to drive significant channel leverage

Sep 16, 2014

We ANNOUNCED, with much excitement, just this morning an important partnership with Mphasis that truly represents an important milestone towards providing Glassbeam’s expertise in both IT and IoT analytics sector to Fortune 1000 clients globally.

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:

Learn-teach-repeat: apache solr workshop @ glassbeam

SAUMITRA SRIVASTAV
Jun 24, 2014

At Glassbeam, we use many different open source technologies. Our stack consists of Apache Cassandra, Apache Solr, Apache Spark, Scala, Play, H2 to name few. We try to give back and share with the community. We call it learn-teach-repeat initiative.

Another great industry recognition for glassbeam

Jun 02, 2014

It is an honor to be recognized (again) by CRN in their TOP 50 LIST OF COMPANIES that are changing the world of business analytics with big data. To quote CRN, "this list recognizes companies that have demonstrated an ability to innovate in bringing to market products and services that help business work with big data".

Data security on the glassbeam cloud

ASHOK AGARWAL
May 28, 2014

You can’t stop the NSA – no matter what; but rest assured, the “Target” type of security breach resulting in the theft of credit card information has nothing to do with the cloud.

Glassbeam for medical analytics – part 2

VIVEK SUNDARAM
Feb 07, 2014

In PART ONE of the Glassbeam for Medical blog, we explored how Glassbeam helps customer support save turnaround time and avoid unnecessary replacement costs. Support is one use case that benefits from machine data analytics. But the benefits of such a solution can span across the enterprise from customer support to engineering to sales and marketing.

Top predictions for 2014

PUNEET PANDIT
Jan 08, 2014

Happy New Year – and what a year it’s been.

With the technology advancements of phones, tablets, glasses, clothing and machines over the last year, there are volumes of unstructured and multi-structured data collected from machines and connected devices, and it’s growing at a dizzying pace. The Internet of Things is quickly turning into the Internet of Everything – in today’s always-on, always-connected world, and machine data is everywhere.

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