Skills needed for advanced analytics sometimes require knowledge of recent data-related technologies, analytics techniques and how to use them. However, many organizations realize that this skill set doesn’t negate the need for people who can frame a problem, interpret the output of an analysis and
Annual predictions are like relatives at a cocktail party: once you introduce them, you never know if they’ll flatter or embarrass you. But that doesn’t stop thought leaders, analysts and other subject matter experts from laying their reputations on the line every year for our education. Here is a
Nobody doubts that companies everywhere will continue to ramp up their hiring, recruitment and training of data scientists. But there seems to be a growing alarm that we won’t have enough data scientists to go around.
Will the big data revolution screech to a halt due to a shortage of data
In the first ever Gartner Magic Quadrant for Data Masking, IBM InfoSphere Optim Data Privacy Solution was named a leader, receiving the best ranking in the ability to execute and completeness of vision categories compared to competitors.
Many organizations today are attempting to apply analytics to their customer experience initiatives. Leveraging analytics, however, means a cultural evolution in terms of how analytics are used, by whom and on what data. In a recent #CXO Twitter chat, Neil Raden, CEO and Principal Analyst of Hired
What's sexy about data science? It has been dubbed the "sexiest occupation" of the 21st century, but you don't see hordes of autograph-seekers and paparazzi flitting around many data scientists. James Kobielus looks at why data science is hot.
Everyone is talking about big data, but if you want to see some REAL data on what is going on with big data, here is a new research report you will appreciate. EMA Research & 9Sight Consulting conducted a study of business and IT professionals, inquiring about their big data plans and
How do businesses address the challenges of growing volume and variety of data? How can I introduce new data sources and workloads into my architecture? How do I achieve better time to value and agility in my infrastructure?
If you're wrestling with these and other related questions, I recommend
Your customers really don’t care how smart your data scientists are. Customers don’t spend much time contemplating how much work those data scientists might have put into tuning the analytic models that power your channels. And they probably wouldn’t listen if you tried to impress them with the
Dr. Barry Devlin, a data management authority and founder of 9sight Consulting, published a new white paper on big data titled “The Big Data Zoo: Taming the Beasts.” The paper provides a colorful and thought-provoking look at big data using animal analogies such as elephants, eagles and reptiles to
We can argue till we’re blue in the face on the issue of whether a true data scientist must have academic credentials. But no one doubts that credentials mean little if you can’t actually do the work.
You can call yourself a data scientist in good conscience only if you can master the methodology.
This is just a quick introductory note to let you know that I have joined IBM as Senior Program Director, Product Marketing, big data analytics Solutions, within the Netezza team.
My core reason for joining IBM is that it’s a great company with a full portfolio of best-of-breed solutions and