In an article in Fortune's Brainstorm Tech, Rob Ashe talks about the opportunities for solving real world problems with accurate data crunched by IBM's hardware:
They are gaining new intelligence into how best to manage spending that is for the benefit of periods beyond short-term horizons, how to improve profits by understanding which customers are most profitable and retaining them and how to reduce risk by limiting exposure to chronically late suppliers or the impact of fluctuating market prices for supplies. They are quickly able to capture insights from time-sensitive information such as the health of business supply chains, marine ecosystems, business operations, customer sentiment or financial trades.
For example, DHL Worldwide, a global air and ground express industry leader, is now able to analyze more than 30 million customer records in just seconds vs. hours while reducing system maintenance costs and improving operations and customer profitability.
The Marine Institute of Ireland is now able to better understand fragile marine ecosystems. Developing large volumes of acoustic signal data from hydrophones mounted on buoys in the ocean, the platform is analyzing echolocation sounds of sea life, which can be used for location, range and object identification. This data is then correlated into useful information such as species identification, population count and location.
Using streaming analytics and the latest supercomputer, scientists at IBM (IBM) Research collaborated on a project with TD Securities to achieve a 21 times performance improvement on the volume of data consumed by financial trading systems.
These examples fit into my earlier post about analyzing wildfires in real time. Of course no model is going to perfectly capture the real world, but with increases in performance from our hardware, over time, more and more variables can be factored in getting results which mirror reality to a greater degree.
For more info, check out our customer case studies at IBM Blade Success Stories.