PRODUCT ANALYTICS

IIOT trends to be aware of

VIJAY VASUDEVAN
Apr 29, 2016

IIoT promises to transform the industrial landscape. Customers expect the industrial product usage experience to match the retail, such as the Apple iPhone or Amazon shopping. So, when customers engage with machines, they expect equally intuitive and seamless experiences.

Smarter cities through iot analytics

DEVANG MEHTA
Mar 14, 2016

For the first time in history, MORE PEOPLE LIVE WITHIN CITIES than outside them. This huge influx of people means that cities have to be able to find ways to quickly provide services to larger numbers of people, rapidly uncover and analyze pain points in providing these services, and plan ahead to accommodate the continuing migration. In particular, more people translates to more cars on the road.

IOT for farming

DEVANG MEHTA
Feb 29, 2016

When you think of life on the farm, a life of waking up before the rooster crows, then heading out to the fields for the day to seed, plow, fertilize and reap in the hot sun before going home for the night and starting over the next day usually come to mind.

Glassbeam studio architecture

SURAJ ATREYA
Feb 17, 2016

GLASSBEAM STUDIO is a one of a kind software which helps in data transformation and preparation, visualizing data, deployment and much more. The Glassbeam Studio technology is modeled on a client-server architecture with functionalities balanced neatly between the client and the server. This software is architected to offer an infinitely scalable, seamlessly, and functionally compelling way to transform even the most complex machine data into valuable business insights.

Metadata extraction

IOT analytics expansion to accelerate in 2016

PUNEET PANDIT
Dec 21, 2015

In my last post, I wrote about the progress Glassbeam has made this year, leveraging the increasing interest in IoT analytics in a wide range of industries. It is now clear that IoT analytics can dramatically improve business efficiency in everything from operations to product development and customer service. Here, I’d like to look forward at where Glassbeam sees IoT advancing in the coming year.

IOT analytics expansion to accelerate in 2016

PUNEET PANDIT
Dec 21, 2015

In my last post, I wrote about the progress Glassbeam has made this year, leveraging the increasing interest in IoT analytics in a wide range of industries. It is now clear that IoT analytics can dramatically improve business efficiency in everything from operations to product development and customer service. Here, I’d like to look forward at where Glassbeam sees IoT advancing in the coming year.

How the glassbeam-thingworx integration works

VIVEK SUNDARAM
Dec 18, 2015

Machine log data is prevalent in the IoT world, especially for complex machines like medical devices, manufacturing systems, and smart grid architectures; and is a natural outgrowth of building products that require assembly from numerous underlying components. It is very important to collect and mine machine log data to uncover true business insights – similar to mining the proverbial diamond in the rough – and to accrue significant economic value from it.

IOT analytics to drive ev charging station infrastructure growth

VIJAY VASUDEVAN
Dec 07, 2015

We live in anxious times. People are anxious about moving their careers forward, spending enough time with their families, maintaining a healthy diet and more. Happily, the arrival of viable electric cars has alleviated one anxiety we share – namely, polluting the environment with car emissions.

Build versus buy – an empirical approach (part 2)

DEVANG MEHTA
Dec 03, 2015

In a PREVIOUS POST, we described a framework for evaluating the right inflection point for a ‘Build versus Buy’ scenario for implementing an IoT Analytics solution at your organization.

In this post, we will expand on this – first with a few numeric use cases based on our interaction with customers and prospects. As a reminder, we define Value of Risk = Cost of failure X Chance of failure.

Case 1: 8 Full-time Employees (FTEs), Chance of failure = 25%, Calculated Risk Value = $285K

IOT analytics fuel the brick and mortar retail revolution

DEVANG MEHTA
Nov 16, 2015

Brick and mortar retailers are in a life struggle with online marketplaces. Brick and mortar retailers operate with the added expense of maintaining a physical facility, keeping inventory on hand and hiring service staff to support customers.

Savvy retailers are continuously seeking out new information about their customers; how they browse the store, what they buy, when they buy it, and which marketing “levers” are responsible for those sales. Some are even turning to technologies as elaborate as creating virtual store shelves and studying shoppers’ eye movements.

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