MACHINE DATA ANALYTICS

Glassbeam Preview at RSNA - New Partners, Solutions and Demos

Puneet Pandit
Nov 21, 2018

Our vison at Glassbeam is to create extraordinary outcomes for our customers and the communities they serve by harnessing the power of connected machines. Our mission is to simplify and bring clarity to the world of complex connected machine data. In the world of healthcare, that equates to an integrated view of equipment health, performance and utilization across all medical equipment types and manufacturers.

How Much Does Equipment Downtime Cost Hospitals? And Other Common Questions about Glassbeam.

John Ferraro
Nov 19, 2018

As the head of the Glassbeam sales team, there are few questions that I often hear from our customers that I would like to address. Below, you will find answers to the most common questions that we get about Glassbeam’s machine data analytics solution. In the first of this two-part series, I’ll address common questions about Glassbeam offerings, implementation and security. In part two, we’ll discuss Glassbeam and OEM service agreements. And of course, if you get to the end and find that you want to know more, we’re here to help.

Glassbeam Q3 Highlights: Expanded Partnerships, Solution Capabilities and HIPAA Compliance

Puneet Pandit
Oct 03, 2018

We are now three quarters of the way through 2018 and very proud of our team’s many accomplishments this year. From new offerings and partnerships to certifications and industry event participation, we have made great strides towards our goal of expanding our advanced analytics offerings to include support for more healthcare equipment types and manufacturers.

The Impact of Machine Data Analytics, Artificial Intelligence and Machine Learning on Healthcare Technology

Puneet Pandit
Sep 05, 2018

On the heels of a great event and presentation along with Rick Gaylord, our healthcare solution specialist, at the 2018 CEAI Conference, I want to continue the conversation about the far-reaching impacts of machine data and artificial intelligence for healthcare technology.

Machine Data Analytics from Glassbeam: The Antidote to a Challenging Environment

Puneet Pandit
Jul 24, 2018

It is well known that margins in the medical device industry are eroding, partly due to the fact that nearly all health care providers are involved in some type of group purchasing organization (GPO) and that GPOs account for nearly three-quarters of provider purchases. 

Redefining Art of Analyzing Medical Machine Logs: Glassbeam Q2 Milestones and Momentum

Puneet Pandit
Jul 17, 2018

Most would consider analytics a science. The Glassbeam team considers analytics an art of combining impermeable truth from machine logs with deep healthcare domain expertise.  As we expand our penetration of the healthcare market after spending years in the data center world, where the gold standard for machine uptime was 99.999 percent, we have recognized a huge opportunity since the acceptable machine uptime for medical equipment ranged from 90 to 97 percent.

Data Doesn’t Lie: 5 Ways Hospitals Can Use Machine Log Data

Pawan Jheeta
Jul 04, 2018

Maximizing uptime of diagnostic equipment is vital to both patients and healthcare organizations. As medical imaging equipment becomes more sophisticated and the need for healthcare organizations to improve their availability becomes more acute, so does the value of machine log data and advanced analytics. Here, we’ve listed several important ways that hospitals can use machine log data and predictive/prescriptive analytics to optimize operational efficiency and revenues.

Semiotic Parsing Language (SPL) - Breakthrough DSL for IIoT Analytics - Part Two

Ashok Agarwal
Jun 13, 2018

In this section we will investigate how Glassbeam’s DSL called SPL (Semiotic Parsing Language) helps in parsing multi-structured machine logs.

SPL Terminology:

Namespace:

SPL allows a log file to be treated as a hierarchical document consisting of multiple segments (or sections). Each hierarchical segment is called namespace. This allows for zeroing in on the exact section to parse specific elements from, thus localizing the scope of extracts.

New FDA Report Highlights the Importance of Servicing Medical Devices

Puneet Pandit
Jun 05, 2018

This month, the FDA issued a report that focused on the quality, safety, and effectiveness of servicing of medical devices.

Semiotic Parsing Language (SPL) - Breakthrough DSL for IIoT Analytics - Part One of Two

Ashok Agarwal
May 30, 2018

Introduction

Glassbeam’s business revolves around providing business intelligence on machine data. Intelligence comes from structured data. Machine data is not always structured. So, there is a gap between what is needed and what is produced. As Glassbeam’s head of engineering, I am going to write a two series blog about how Glassbeam bridges this gap.

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