IOT

Powerful analytics – the key to iot

DEVANG MEHTA
Apr 15, 2015

We at Glassbeam are continuously evangelizing the value of analyzing machine data to glean valuable insights – for applications ranging from improving customer service to developing new products. We are happy to see there are others beating the drum about the value of IoT analytics.

Multiple levels of insights courtesty iot analytics

DEVANG MEHTA
Mar 26, 2015

Today’s new and powerful information platforms collect, distill, analyze and present massive amounts of operational data in formats that are easy for the most junior customer service person to understand. In a typical scenario, these platforms apply rules to incoming machine data and enable proactive actions, such as opening up a customer case, dispatching a part and/or alerting a field service team to take preventive action. The customer gets his problem solved and the customer service team is satisfied they have successfully dealt with a problem. Everyone is happy.

How glassbeam helps product marketers

Mar 20, 2015

A lot of IOT Analytics use cases are centered around benefits to IT groups – however, good analysis of machine data is tremendously useful for many other stakeholders inside an organization. Today, we will focus on how our Analytics are tremendously useful for Product Marketing groups.

Transforming your support org into a profit centre

DEVANG MEHTA
Mar 07, 2015

Yes, it’s possible with powerful IOT Analytics solutions like Glassbeam. And its not just one of those theoretical possibilities – we have numerous CASE STUDIES of customers that are accruing cost savings and discovering new services revenue streams. Plus there are numerous other economic benefits of using Glassbeam — a larger percentage of cases resolved at L1 (as opposed to L2/L3/L4), higher customer satisfactions (and lower churn) and case deflection to name a few.

Connecting seamleassly to thingworx

DEVANG MEHTA
Feb 05, 2015

This is HOT OF THE WIRE – we’re announcing a technology and business relationship with Thingworx (a PTC company). The partnership means that we will build a connector into THINGWORX IOT PLATFORM that will enable data to be ingested (and parsed) into GLASSBEAM’S IOT ANALYTICS platform.

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.

Glassbeam is a finalist at up-start 2014 cloud awards

DEVANG MEHTA
Dec 02, 2014

The Up-Start Cloud Awards season for 2014 is in full swing and we’re glad to announce that Glassbeam is a finalist in the Category of BEST BUSINESS INTELLIGENCE SOLUTIONS. We want to Thank everyone that supported us during the online voting over the past few weeks.

it’s a new era at glassbeam!

DEVANG MEHTA
Nov 18, 2014

At Glassbeam we are thrilled to ANNOUNCE our foray into the exciting space of machine learning and real time analytics. By integrating our market-leading Glassbeam SCALAR platform with the powerful capabilities of Apache Spark framework, we are adding significant differentiators to our IOT Analytics platform. This announcement received tons of media attention – here’s a nice BLOG POST by the Taneja Group.

Remote diagnostics on iot devices

DEVANG MEHTA
Nov 11, 2014

Perhaps, the greatest benefit of ENABLING DEVICES FOR IOT is to be able to diagnose them from remote locations. Devices can be instrumented using Sensors, SDKs or by other mechanisms – in a way that enables them to collect operational data. This data can then be parsed and analyzed to glean insights that can help in both tactical areas (upgrades, patches) as well as for strategic decision making (customer segmentation, product roadmap).

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