BIG DATA ANALYTICS

IOT analytics a critical success factor in today’s "big storage"

DEVANG MEHTA
Jul 08, 2015

The pervasiveness of big data has led to an equally significant expansion of what can be called “big storage.” Whether you’re a cloud service provider or an enterprise, managing that big data requires highly complex and sophisticated storage systems. Failure of these systems is not an option.

Storage system providers have turned to IoT analytics both to help ensure optimal performance and to gain a deeper understanding of how customers are using their solutions.

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?

Connected medical devices and iot analytics combine to save lives

DEVANG MEHTA
Jun 12, 2015

Among the most dynamic market segments where IoT analytics has the potential to grow rapidly is medical devices. Market research firm FREEDONIA GROUP notes that 2.5 million people rely on these devices today and predicts the market will grow 7.7 percent in 2015. More than 300,000 Americans receive these devices each year.

Five billion iot devices shipped by 2018: that’s a lot of data!

DEVANG MEHTA
May 28, 2015

In a VENTUREBEAT article last week, Qualcomm President Derek Aberle predicted five billion non-smartphone connected devices will ship by 2018. He believes everything from homes to cars, health care facilities, smart cities and wearable IoT devices will churn out data.

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.

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.

Glassbeam in action at dimension data

DEVANG MEHTA
Feb 20, 2015

We’d ANNOUNCED last summer that Dimension Data, an NTT company, and a global ICT leader had chosen Glassbeam to optimize it’s global data center operations. Since then, their team has used Glassbeam to accrue numerous benefits in their data center operations and we recently wrote a case study that articulates these benefits.

What the spark!

DEVANG MEHTA
Feb 13, 2015

No, we don’t hate Spark! We like it a lot – regular blog readers know that we integrated Apache Spark’s MlLib library into our SCALAR product last Fall. If you missed this news, here’s the PRESS RELEASE and BLOG POST.

Wind energy equipment manufacturer’s guide to iot service excellence

VIJAY VASUDEVAN
Jan 20, 2015

In a wind farm running hundreds of wind turbines, the hydraulic systems play an important part in running the turbine smoothly. Hydraulic systems optimize the turbine by controlling the blade pitch to maximize the amount of power generated under unpredictable wind conditions. Performance takes a hit, when there’s a sudden drop in pressure. In the worst case scenario, a complete loss in pressure can destroy components, resulting in significant financial losses.

Integrating failure analysis into regular support operations

CARLOS QUEZADA
Jan 09, 2015

Our first post for 2015 focuses on integrating failure analysis with the goal of making support operations more productive.

Lets’ take a use case of a hardware vendor that has a chassis based product that has multiple blades as well as an additional card used as the overall controller for the chassis. This Management card is important because it controls power for each blade as well as the fans for cooling.

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