IBM Mobile Systems Remote now on Android
April 24, 2012 | Written by: IBM Research Editorial Staff
Share this post:
![]() |
||
Patrick Bohrer |

We wanted to create an app that could talk to our servers without requiring new support in our management interfaces. Towards this end, we built an app framework consisting of a local data model and multiple management interface modules that communicate with IBM products and services. This structure allows us to add support for legacy IBM products already in the field.
So, we’re using this platform as an exploratory vehicle to create rich, highly consumable, customer-centric views of our products and services.
The navigation and views found in the app are the result of direct feedback from IBM’s human factors teams, along with feedback from a number of user studies led by these teams. This input has been invaluable in deciding where we should focus our time. Our wider releases on these app stores is an attempt to get even more feedback from an even broader audience.
cloud, middleware and mobile platforms. I plan to find new, creative and meaningful ways to use IBM‘s solutions in this space.
A new supercomputing-powered weather model may ready us for Exascale
In the U.S. alone, extreme weather caused some 297 deaths and $53.5 billion in economic damage in 2016. Globally, natural disasters caused $175 billion in damage. It’s essential for governments, business and people to receive advance warning of wild weather in order to minimize its impact, yet today the information we get is limited. Current […]
DREAM Challenge results: Can machine learning help improve accuracy in breast cancer screening?
Breast Cancer is the most common cancer in women. It is estimated that one out of eight women will be diagnosed with breast cancer in their lifetime. The good news is that 99 percent of women whose breast cancer was detected early (stage 1 or 0) survive beyond five years after […]
Computational Neuroscience
New Issue of the IBM Journal of Research and Development Understanding the brain’s dynamics is of central importance to neuroscience. Our ability to observe, model, and infer from neuroscientific data the principles and mechanisms of brain dynamics determines our ability to understand the brain’s unusual cognitive and behavioral capabilities. Our guest editors, James Kozloski, […]