MACHINE DATA ANALYTICS

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 edge computing – a primer

ASHOK AGARWAL
Feb 22, 2016

As the Internet of Things inevitable starts coming into it’s own, the origin of data has evolved from people to machines to “things”. Technologies emerged from leaders like Google and Facebook to enable analyzing tons of data in massive data farms deployed in the cloud. All that is well and good, but the approach itself needed moving this “ton” of data to a central location, partition it across large number of nodes so that analysis could be parallelized. Imagine, Netflix has over 1,000 nodes in their cluster. Hmmmm, doable, but at some point the laws of physics start to interfere.

Introducing glassbeam studio

PRAMOD SRIDHARAMURTHY
Feb 16, 2016

I am delighted to announce the release of Glassbeam Studio – the industry’s first Data Transformation and Preparation tool for complex machine data.

According to Gartner, by 2018, data discovery and data management evolution will drive most organizations to augment centralized architectures with decentralized approaches. Most business users and analysts will have access to self-service tools to prepare data for analysis.

IOT in our daily lives

DEVANG MEHTA
Feb 03, 2016

I met an old friend after quite a white this past weekend. I barely uttered the word ‘IoT’ while updating him on my career, and he immediately began gushing at what the industry had done for him.

He mentioned how, on the golf course last weekend, he he sliced (yet another!) drive into the woods, and an app connected to his driver reminding him how to straighten his wrist to fix his swing. His wife came home last weekend with a smart flower pot that now alerts him on when it needs to be watered and fed.

New iot applications take benefits to a new level

DEVANG MEHTA
Jan 20, 2016

CB INSIGHTS, which offers range of consulting, research and database services to the venture community, recently published a series of articles that demonstrates the continued growth and accelerating adoption of IoT Applications.

One ARTICLE traces IoT funding, noting there has been $500 million in investments in private IoT companies in four of the last six quarters.

Semiotic parsing language – the language for machine data analytics

PRAMOD SRIDHARAMURTHY
Jan 13, 2016

The Internet of Things (IoT), an ever-growing number of connected devices, generates vast amounts of data, called “Machine Data”, complex in variety, volume and velocity. Machine data is information about the device, like its configuration, status, performance, usage and more. Manufacturers across data-intensive industries – such as storage, wireless, networking and medical devices – are struggling to make sense of all this data. Analyzing machine data can help organizations with reactive diagnostic activity, predictive problem identification, and business intelligence.

IOT – how real is it today?

DEVANG MEHTA
Dec 30, 2015

This is the title of a REPORT recently authored by Frost and Sullivan’s Stratecast publication.

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.

Pages