Most of us have a handful of people we follow closely for advice on new and emerging technology, or for their innovative approaches to industry challenges, and perhaps to absorb by osmosis some of their business acumen.
You might call them thought leaders or influencers. Me, I call them Big-brained
It looks like a lot of industry people are having a lot of serious fun in Las Vegas this week at the annual Consumer Electronics Show (CES). The event has always been a media magnet, showcasing new trends, hot gadgets and seemingly crazy ideas from hopeful innovators.
This year's big CES theme,
Year-end predictions are like yule logs: everyone wants to throw their own on the communal fire to see if it makes a joyous crackle. Even if it's only for one's own edification, it's good to collect your thoughts on what might trend, what might end and what the main disruptors will be in the fast-
In truth, the buzz began to build long before the start of 2013. An October 2012 article in the Harvard Business Review declared “Data Scientist: The Sexiest Job of the 21st Century." It goes on to describe the role in terms that place it somewhere between a data-swashbuckling Indiana Jones and
Companies whose investments focus on growing talent in data sciences help not only their processes, but also the company as a whole. In our most recent global study on big data analytics, we concluded that the gap between the demand for analytics talent globally and the supply of analytics talent
Bernard Marr is founder and CEO of the UK-based Advanced Performance Institute (www.ap-institute.com) , which is one of the world’s leading research and advisory organizations on organizational performance. He has authored several best-selling business books as well as hundreds of top analyst
I’ve encountered many customers who are keen to ditch their data warehouse and use Hadoop to store the organization’s data as a cost-saving measure and to provide more flexibility to the business. However, an oft-overlooked consequence of eliminating the data warehouse is that analysts are now
Data science can only function as a sustainable business resource if it’s managed professionally. Regardless of how your organization chooses to organize your data scientists, you need a layer of professional management. The core reasons for this are clear:
keep data science initiatives aligned
Speed of thought is something we like to imagine operates at a single high-velocity setting. But that’s just not the case. Some modes of cognition are painfully slow, such as pondering the bewildering panoply of investment options available under your company’s retirement plan. But some other modes
Many of my waking hours are spent explaining to people that “big data” is not as opaque and mysterious a concept as they’ve been led to believe. To the extent that I can hold their attention for a detailed technical discussion, I can alleviate their concerns that it might all be smoke or mirrors or
The unfathomable scale of the universe we inhabit strains everybody’s powers of imagination. Trying to analyze the forces that shape it all, across all scales, is probably the greatest scientific challenge that humanity will ever face.
Geospatial analytics is usually focused on the nearest nook of
Data science has been called the "sexiest profession of the 21st century." Well known big data evangelist James Kobielus describes what a data scientist is and does, what paradigms and practices one must know and what skills and knowledge one should possess. He also questions if the typical "sexy
Openness is where the world is headed. It’s the core principle in truly agile governance of a dynamic, complex, smarter planet.
Openness means many things to many people. From a big-data perspective, we can break down the key dimensions of openness as follows:
Open platform and ecosystems: Open-