By Pat Toole
In the next few years, hundreds of billions of objects will be connected to the world’s information technology systems via the Internet of Things. That includes everything from the sensors on electricity grids and factory equipment to the fitness monitors we wear on our wrists and food items in the grocery store.
Yet, already, the vast quantities of data flowing from IoT devices are overwhelming the ability of many organizations to capture and make use of it.
That’s why the time has come to make the Internet of Things ready for business. By that I mean building an enterprise-class infrastructure capable of handling all this data and turning it into actionable insights when people need them.
The Weather Company delivers, on average, 15 billion weather forecasts to consumers and businesses every day. That’s an increase of more than 25-fold in the past five years, says Mark Gildersleeve, president of the business division of The Weather Company, which also owns the Weather Channel. The Weather Company is partnering with IBM to deliver those forecasts in real-time for 2.2 billion locations across the globe – a feat that would have been unthinkable without the recent advancements in cloud, mobile and data analytics. The Smarter Planet caught up with Gildersleeve to talk about how these new tools and technologies have improved forecasting and changed his business. Continue Reading »
By Noah Syken
It’s that time of year again: the US Open begins today in Queens, and tennis fans — and New York City — may be buzzing even more than in years past.
This year is Serena Williams’ year to write history. She’s going for a calendar year Grand Slam and her 22nd Grand Slam title, which would tie her with Steffi Graf for most wins in the Open era.
IBM, the long-time technology partner of the U.S. Tennis Association, and other Grand Slams, has been there to help fans watch and enjoy “Serena Slam,” in which Williams has won the past four Majors, starting with the 2014 US Open. Along with ESPN, another USTA partner, we’ll be part of action over the next two weeks, using our technology to enrich tennis fans’ knowledge and appreciation — no matter where they are in the world. Continue Reading »
by Guillermo Cecchi
Patterns are everywhere. Benoit Mandelbrot found them in nature, and gave us fractals. And now computer systems and algorithms find them in data, like how Watson teases out relevant information in just about anything. Machines can even find patterns in speech to accurately predict psychosis onset in high-risk youths, as colleagues and I explain in a recent Nature Publishing Journals – Schizophrenia article, Automated Analysis of Free Speech Predicts Psychosis Onset in High-Risk Youths.
About 1 percent of the population between the age of 14 and 27 is at clinically high risk, or CHR, for experiencing a psychotic episode at some point in their lives. One percent might not sound like much, but a statistically significant 30 percent of those known CHR individuals will have an episode. This led me to work with academic and clinical psychiatrists to apply machine learning to the data – in the form of transcribed interviews – to find patterns that would accurately predict that 30 percent. Continue Reading »
To hear Dr. Norman Sharpless tell it, it’s time to open a new front on the war on cancer. That front, he says, will match the latest cancer treatment advances and lab breakthroughs with big data analytics to help determine the best treatment options for patients. According to Dr. Sharpless, oncologists and molecular biologists are drowning in data. The Smarter Planet blog caught up with him recently to discuss his ideas for overcoming the challenge.
Smarter Planet: The World Health Organization predicts that the number of new cancer cases will grow 70 percent within two decades. It’s no wonder many of us believe we’re losing the war on cancer.
Dr. Norman Sharpless: Cancer is not one disease. That misconception dates back to the Nixon administration. Maybe we should have said back then we’re launching a war on cancers. Each cancer requires different treatments. Each has different causes. And because every cancer is different you really can’t talk about a one-size-fits-all approach. What is needed is personalized care. Continue Reading »
By Tom Rosamilia
Fifteen years ago IBM did what must have seemed to some people like the unthinkable. We started shipping mainframe computers running Linux, the open source operating system.
It was a major step forward for the open software movement, and, for IBM, it marked a significant expansion for the mainframe–helping to establish it as a backbone of the digital economy.
Today, we’re launching another major advance. IBM is going all-in for open software on the mainframe, which is now called z Systems.
This expansion strategy has many moving parts, but the key thing is that it provides entrepreneurs and businesses that are building the future of computing with a powerful, secure and flexible platform for developing and running cloud services and mobile apps.
By Juana Marcela Ramírez
Almost a sixth of the adult population in Mexico suffers from diabetes and that number is only expected to grow.
The diabetes epidemic in Mexico holds massive implications. It profoundly impacts the health of individual Mexicans and negatively affects the country’s socioeconomic development. The Mexican government is working hard to not only combat the diabetes, but prevent it. For example, it launched a “soda tax,” which increases the price of sugary drinks 10 percent and the price of junk food 8 percent, to deter consumption.
This was the impetus behind IBM and Tienda Diabetes’ decision to team up to launch Farmacia Online, the first-ever specialized online drugstore in Mexico. Farmacia Online provides diabetes patients with affordable same-day delivery options for medications and treatments, as well as personalized care. Continue Reading »
By Steve Hamm
Just a few months ago, Jimoh Ovbiagele was a junior computer science major at the University of Toronto. Today, he’s the chief technology officer of ROSS Intelligence, a Toronto-based startup that’s harnessing IBM Watson in an attempt to transform the legal profession by streamlining case law research. This is no pipe dream: the software is being piloted by Dentons, the world’s largest law firm–giving it an industry stamp of approval.
“From the moment we had the opportunity to touch Watson, we saw that we could change a whole industry. So that’s what we set out to do,” Jimoh says.
By Shahram Ebadollahi
In IBM Watson’s early days, the cognitive computer was a whiz at words. It was designed to ingest vast amounts of documents and Web pages, understand words and their context, and answer free-form questions from people–offering up responses ranked by its confidence in their accuracy.
These days, we’re adding a wide variety of other types of data to Watson’s repertoire, perhaps most significantly, images–including photos, medical images and videos. Simply put, we’re teaching Watson to “see.”
A watershed moment in our effort to expand Watson’s visual capabilities comes today: we’ve announced our intention of acquiring Merge Healthcare Incorporated, a leading provider of medical image handling and processing systems. It addresses radiology, cardiology, orthopedics eye care and other medical fields. The planned acquisition is subject to regulatory review and Merge shareholder approval and is anticipated to close later this year.
By Steve Hamm
Dr. Jose Morey has a full-time job as a radiologist with the U.S. Veterans Administration in Hampton, VA. He also teaches part-time at the University of Virginia and Eastern Virginia Medical School. As if that wasn’t enough, he is helping IBM develop a system, Medical Sieve, aimed at assisting doctors to interpret medical images.
Why does he do it? “I have an eight-year-old son,” Jose says. “I tell him that someday a computer might help save his life. I’ll play a little part in that. And even when I’m gone it might help his kids. It’s a legacy thing.” Continue Reading »