Analytics can detect trends that appear to be normal

Through our work in neonatal intensive care with the University of Toronto, we learned that by applying machine learning to the full data stream, we were able to diagnose some dangerous infections a full day before any symptoms were noticeable to a human being. How did we discover this? By detecting trends that appear normal!

Read more about this ground-breaking and important analytics work in O’Reilly Radar’s Operations, machine learning and premature babies and in the IBM First-of-a-Kind Technology to Help Doctors Care for Premature Babies press release.


New and exciting career opportunities for IT professionals: Data scientist

A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization.

Does this sound like you? Learn more about the exciting, new data scientist role, and the value that they bring to an enterprise big data initiative, in NetworkWorld’s ‘Big data’ creating big career opportunities for IT pros.

Got questions about big data? My ReadWriteWeb interview has got answers!

In my interview with Scott Fulton from ReadWriteWeb, I cover topics such as:

  • The Data Scientist role
  • Whether big data will alter the enterprise
  • Data silos
  • Big data tools
  • Making data bigger and more consumable

You can see the complete interview in three installments:

Big data will never be the same…

I recently contributed some insights to Database Trends and Applications in “HADOOP Enters the Enterprise Mainstream and Big Data Will Never be the Same.”

Hadoop has become a sought-after commodity in the enterprise space over the past year. It is cost-effective, and it allows businesses to conduct analysis of larger data sets and on more information types than ever before, unlocking key information and insight. Hadoop couldn’t have arrived on the scene at a better time, since it is estimated that 2.5 quintillion bytes of data are now being created every day.

Hadoop’s complexity and the current lack of skills to support it are two problems that many enterprises face, however. The good news is that these challenges can be addressed with training options that are currently available. IBM now offers a Hadoop Fundamentals course, and offers hundreds of tutorials, videos and exercises on the basics of Hadoop and other topics such as stream computing, open source software development, and database management techniques.

Go to the DBTA site to read the entire article.

IBM Advancing Big Data Analytics with Vivisimo Acquisition

Today IBM announced our intention to acquire Vivisimo, Inc., adding their technology to our big data platform and product portfolio. Why did we do this and what are the implications for our clients? See my discussion on IBM’s Smarter Computing blog.

For more information about the acquisition, see IBM’s press release or FAQ. For more information about how IBM is bringing big data to the enterprise, see our big data web site.

Want to follow the conversation as it happens? Or better, yet, participate? Try @IBMbigdata, @Vivisimo_Inc, #bigdata, and #ibmbigdata.

The Big Panel on Big Data

If you are attending Enterprise Data World (April 29 – May 3 in Atlanta, GA) on Wednesday, May 2nd, stop by the Big Panel on Big Data session. I will be on the panel with several other luminaries, during which we will be delving into the facts and fantasies surrounding big data. Join us to discover why big data is such a hot topic right now, the changes that are coming to enterprise data management, and the new skills you should acquire to ride this wave of opportunity.

What is a Data Scientist?

The Data Scientist role is emerging as a more and more critical role in creating business value from big data. For more on the Data Scientist — what it is and isn’t, what it should and shouldn’t be — see this Forbes article.