What's Next for Cloud Computing?
A Brave New Connected World: The Internet of Things and the Rise of Small Sensors and Big Data Analysis
This Executive Report examines the current status and possible applications of the IoT in business, industry, and government. We also consider technologies for managing sensors and other data associated with IoT applications as well as issues that could possibly limit the growth and acceptance of the IoT.
A Brave New Connected World: The Internet of Things and the Rise of Small Sensors and Big Data Analysis
This Executive Report examines the current status and possible applications of the IoT in business, industry, and government. We also consider technologies for managing sensors and other data associated with IoT applications as well as issues that could possibly limit the growth and acceptance of the IoT.
A Brave New Connected World: The Internet of Things and the Rise of Small Sensors and Big Data Analysis (Executive Summary)
Cisco calls it the "Internet of Everything." For GE, it's the "Industrial Internet." But the generic name used by most people is the "Internet of Things (IoT)." All these terms refer to the same concept: the use of electronic sensors -- supported by social, mobile, analytics, and cloud (SMAC) technologies -- to enable a multitude of connected devices and machines, and a subsequent deluge of data, both of which lead to a host of new opportunities in
A Brave New Connected World: The Internet of Things and the Rise of Small Sensors and Big Data Analysis (Executive Summary)
Cisco calls it the "Internet of Everything." For GE, it's the "Industrial Internet." But the generic name used by most people is the "Internet of Things (IoT)." All these terms refer to the same concept: the use of electronic sensors -- supported by social, mobile, analytics, and cloud (SMAC) technologies -- to enable a multitude of connected devices and machines, and a subsequent deluge of data, both of which lead to a host of new opportunities in
You're Doing It Wrong: Part III -- More Effective, Less Precise
The truest driver of our reliance on deterministic methods is the fact that our operations are too far from being Lean. So what does that look like and how do we get there? This Update provides a pictorial explanation of probabilistic decision-making methods, their uses, and how to start "Leaning" the operation to improve the quality of the data that makes probabilistic decision-making methods possible.
Scrum, XP, SAFe, Kanban: Which Method Is Suitable for My Organization?
I have recently seen the SAFe framework criticized by the Scrum founder as well as the Kanban founder (see "unSAFEe at Any Speed" and "Kanban -- The Anti-SAFe for Almost a Decade Already"). Method wars are not new, however, and could go on forever. In the face of these discussions, it is important to remember the real intent behind Agile methods.
Existing Architectures and EA Practice
The Industrial Internet Consortium
The latest industry development concerning the advancement of the IOT is the recent formation of the Industrial Internet Consortium (IIC) by AT&T, Cisco, GE, IBM, and Intel. This not-for-profit group (with an open membership) is important for several reasons.
The Industrial Internet Consortium
The latest industry development concerning the advancement of the IOT is the recent formation of the Industrial Internet Consortium (IIC) by AT&T, Cisco, GE, IBM, and Intel. This not-for-profit group (with an open membership) is important for several reasons.
Management Issues in DevOps
DevOps falls fairly easily within existing models of enterprise governance, such as ITIL and CMMI. It does not require a new team or a new organization. DevOps does require, however, a new way of looking at things along with a careful review of how governance requirements can be adequately served within the new environment.
Management Issues in DevOps
DevOps falls fairly easily within existing models of enterprise governance, such as ITIL and CMMI. It does not require a new team or a new organization. DevOps does require, however, a new way of looking at things along with a careful review of how governance requirements can be adequately served within the new environment.
GM's Search of Sacred Value for Managing Risk
"I cannot tell you why it took years for a safety defect to be announced." So admitted new GM CEO Mary Barra this week in her testimony to the US House of Representatives Energy and Commerce Committee, which is looking into why it has taken over a decade to recall GM automobiles that were sold with a now-acknowle
A Practical Guide to the Most Useful Architectural Frameworks: Part V -- The Architecture Evolution Framework
An Architecture Evolution Framework should be based on the same factors we use to create our other frameworks, and it needs to show all the options for evolving the architecture. EA is largely about the management of architecture in a way that supports enterprise adaptation, change, or transformation. This Update describes the factors used to create an Architecture Evolution Framework.
Agile Is Not Just About Coding
App Development to Beat the IT Backlog: The Cognizant Story
This Executive Update describes Cognizant's embrace of the small app concept, which evolved without significant investment in reengineering the legacy environment. Any organization can adopt this approach during its IT transformation journey.
App Development to Beat the IT Backlog: The Cognizant Story
This Executive Update describes Cognizant's embrace of the small app concept, which evolved without significant investment in reengineering the legacy environment. Any organization can adopt this approach during its IT transformation journey.
Deep Learning and the Age of Discovery
Deep Learning and the Age of Discovery
You're Doing It Wrong: Part II -- Don't Count on Big Data
Big Data, another alternative, is a very popular topic these days. While Part I described probabilistic decision making as based on "quantitative behavioral performance of the operation," one might reasonably ask how this differs from or can be accomplished with Big Data analysis. We'll address this observation in this Update.
You're Doing It Wrong: Part II -- Don't Count on Big Data
Big Data, another alternative, is a very popular topic these days. While Part I described probabilistic decision making as based on "quantitative behavioral performance of the operation," one might reasonably ask how this differs from or can be accomplished with Big Data analysis. We'll address this observation in this Update.
Big Data Rule 1 As the Amount of Data Goes Up, So Does the Importance of Remaining Human Judgment
In the first sentence of his excellent 9 December 2013 blog post, Andrew McAfee points out the following: "Here's a simple rule for the second machine age we're in now: as the amount of data goes up,
Agile Is Not Just Use Cases
Environment and Maturity for a Scrum Team
In this Update Peter Kaminski looks at Maslow's hierarchy of needs as a tool for thinking about environmental and psychological elements that factor into the evolution of a Scrum team's development.