What's a Knowledge Worker to Do? Part I
With the rise of Big Data analytics and significant improvements in high-performance computing, it is likely that more knowledge-worker jobs will get displaced. Industry and academia are finding new ways of mining data and performing complex tasks previously done only by humans. IBM's Watson’s adroitness at Jeopardy may precede, by perhaps only a few years, general-purpose computing’s ability in diagnosing illnesses and processing complex business problems. Advanced image-processing capabilities can be applied to adding metadata to video files.
What's a Knowledge Worker to Do? Part I
What's a Knowledge Worker to Do? Part I
The Path to Communication Mastery
Architecture Description: ISO/IEC/IEEE 42010:2011
SoLoMo Analytics
Social networking, mobility, and analytics are among the key topics for the enterprise today, as companies attempt to leverage social networks for insights, provide on-the-road access to data, and integrate an increasing realm of data into the diversified range of analytics possibilities provided by Big Data.
The Ideal of Coherence
Broad coherence is a highly desirable characteristic of every human enterprise but is conspicuous by its absence in most places. Everything should "hang together" and be "true as a whole," but it seldom does. Is coherence an unrealistic ideal or an attainable goal?
The Ideal of Coherence
Coherence is a highly desirable characteristic of every human enterprise. Everything should "hang together" and be "true as a whole," to quote common dictionary phrases. Yet one of the most frustrating and disturbing aspects of working life is that everything doesn't hang together and isn't true as a whole. Most things only "sort of" fit -- if they fit at all. Gaps and inconsistencies abound. Assumptions must constantly be made.
Sharing Data for Better Intelligence: Necessity or Utopia?
Sharing Data for Better Intelligence: Necessity or Utopia?
Supporting Go/No-Go Investment Decisions with Technical Due Diligence
For venture capitalists and M&A pros who need to make quick go/no-go investment decisions, we offer a streamlined variant of our Technical and Process Review. What makes it a finely honed tool for evaluating investment decisions?
"Why Can't the FBI Build a Case Management System?" Part I
If you are a CIO, project manager, or chief architect involved in or contemplating a very large system replacement, you owe it to yourself to read Jerome (Jack) Israel's article in IEEE Computer entitled, " Why Can't the FBI Build a Case Management System?" It is a
"Why Can't the FBI Build a Case Management System?" Part I
If you are a CIO, project manager, or chief architect involved in or contemplating a very large system replacement, you owe it to yourself to read Jerome (Jack) Israel's article in IEEE Computer entitled, " Why Can't the FBI Build a Case Management System?" It is a
Design and Delivery of Business Analysis Training
Effects of Big Data
Big Data Security in Hadoop
Big Data Security in Hadoop
The Latency Cube: An Heuristic to Performance Engineering and Tuning Data Processing Systems
Big Data is inevitable and low latency is the need of the hour. Effectiveness in processing data has never been so relevant. If not engineered well, data processing systems that operate on Big Data are sure to suffer from performance problems. In this Executive Update, we explore an intuitive heuristic that will enable the user to understand the technical tradeoffs and learn how to performance engineer as well as tune a data processing system to effectiveness.
The Power of "Showback" to IT Customers -- Moving IT into the "Driver's Seat"
I have heard so many CIOs say they just want to be able to walk into the offices of their internal customers -- business-unit VPs and other executives -- and show them exactly the real, fully loaded costs of the systems they are using and the financial consequences of some of the demands they push on IT without full knowledge of costs.