By Steve Mills
There’s no doubt big data growth is accelerating today as more of the world’s activity is expressed digitally across the globe. How fast? It’s estimated that 2.5 quintillion bytes of data are created every day from sources such as email and collaboration including posts to social media sites, digital pictures and videos, and purchase transaction records to name a few.
In addition, there are already an amazing 9 billion connected devices in the world today, and that number is expected to explode. The combination of all this data and new computing models is marking a new era of computing — one that requires new types of analytics technologies applied to data so that businesses can not only handle the onslaught of information and help make better business decisions, but, most importantly, even help save lives.
UCLA, for instance, is relying on breakthrough big data technology to help patients with traumatic brain injuries. At UNC Healthcare, doctors are using a big data and Smarter Care solution to identify high-risk patients, understand in context what’s causing them to be hospitalized, and then take preventative action.
Security First Insurance is using big data analytics to quickly respond to insurance claims and get customers back on their feet faster following natural disasters such as hurricanes.
According to IBM’s Institute for Business Value Study – out this week – more than three-quarters of organizations are seeing positive revenue returns from applying big data and analytics within their businesses. In addition, 40 percent of companies are seeing a rapid return on investment within the first six months of analytics adoption
Just as programmable computing transformed the human landscape over the past 60+ years, this new era of computing will include advancements in analytics and breakthrough cognitive computing systems like Watson, in order to transform the way we live, work and learn.
Scientists and engineers at IBM and elsewhere are pushing the boundaries of science and technology with the goal of creating systems that sense, learn, reason and interact with people in new ways. It’s aimed at making the relationship between human and computer more natural so that increasingly, computers will offer advice, rather than wait for commands.
These are the types of discoveries and challenges that IBM will be discussing this week at our eighth annual IBM Information On Demand (IOD) 2013 forum. We’ll share insights and lessons gained by applying information management and analytics to big data. We’ll feature 700 technical sessions across several key tracks, 110 hands-on labs, and more than 300 client speakers to help more the 11,000 attendees better understand how they can improve their own businesses through the use of big data and analytics.
In addition, we’ll introduce a series of new products and services to help organizations make sense of their data and use it in new and more meaningful ways. This includes predictive analytic and cognitive computing technologies via the cloud; enhanced real-time analytics and customizable visualizations; and new privacy software for Hadoop.
Our goal at IOD 2013 is to share and highlight for you IBM’s deep industry and domain expertise, along with our proven industry-based approaches and best practices. We want to help you and your organization plan and execute an information strategy that maps to your business strategy and distinguishes you from your competition.
For those planning to join us, I look forward to meeting with you. And for those who can’t attend in person, we’ll be carrying many of the sessions live via our LiveStream.