Opening our platform for our customers and letting them build on top of it had been on our minds for some time now. With this capability now built into our platform, it throws open a variety of possibilities for our customers. In a two part series, I will explain the why and how of it.
I am excited to announce the opening up of Glassbeam’s SCALAR platform for customers and partners. With this launch, Glassbeam now provides a platform for customers and partners to build on top of our core distributed computing technology and dramatically reduce the time-to-market to develop their machine data analytics applications.
Last week we announced our expanded solution for healthcare industry by including mobile MRI and CT Scanners in our CLEAN™ blueprint (Clinical Engineering Analytics). What this means is that Glassbeam solution can now address a major part of projected $13B market in this segment by 2020.
With over 7,000 hospitals in the country, there are still many rural areas that have only small hospital facilities which service proportionately small communities.
Domain specific languages help a lot in improving developer productivity. First thing which you need while creating a DSL is a parser which can takes a piece of text and transforms it in structured format (like Abstract Syntax Tree) so that your program can understand and do something useful with it. DSL tends to stay for years so while choosing a tool for creating parser for you DSL you need to make sure that it’s easy to maintain and evolve the language.
RSNA (Radiological Society of North America) show each year in Chicago is a watershed event for healthcare industry. The Glassbeam team had a great run this year during Nov 26-29 period meeting with leaders from successful companies ranging from medical device manufacturers, healthcare providers to large ISO organizations. We met with Siemens Healthineers, Renovo, Sodexo, St. Luke's, Intermountain, UCSF Health, Duke University, Gateway Diagnostics Imaging and many others.
Last week was the launch of our much awaited IoT analytics blueprint for healthcare industry. We call it CLEAN™, as an acronym lifted off from CLinical Engineering ANalytics. This blueprint is already in production at leading healthcare providers like Novant Health based out of Charlotte, NC.
As the Head of Sales at Glassbeam, nothing gives me more pleasure than a face to face meeting, where the customer is telling me how Glassbeam Analytics is helping them save money. While there are so many metrics that can measure the health of an account or the ’Happiness index’ of a customer, nothing beats this: “John, last week, your product avoided a $10,000 quench event!” That’s music to anyone’s ears, especially a Sales guy.
Today marks an important milestone for Industrial IoT analytics market. Harbor Research released its latest report on the state of the market and why data transformation is key to getting value from IoT analytics projects. You can download the full report here.
If I were to focus on five key takeaways from this report, they will be:
We exhibited as a partner at TSW last week in Las Vegas, which is TSIA’s premier event to improve the strategic, financial, and operational performance of technology service and support businesses. We found immense value with very relevant content with the ability to learn from industry peers and experts.
In the first two posts in this series, we looked at the log variety in both time series and non-time series log formats. In this concluding blog, I will focus on how these logs are typically packaged and delivered to ingestion platform.
There are multiple ways in which the logs are packaged, here are some examples: