Services and Enterprise Canvas review – 3C: Validation
In practice – as can be seen in part via that list above – it’s often the case that each value and validation-service is supported by a relatively small core-team whose job it is to ‘hold the flag’ for the respective value. Also in practice, each of these core-teams would (or should) typically report direct to the organisation’s senior-executives – because in most cases, it’s that executive board who are formally liable and accountable for compliance to the respective laws, regulations and standards around that respective value.
A Big Data Strategy — A CIO Survival Tool for Today’s Organization
Even if data is useful today, it may not be useful in a month, or six months, or a year. So whenever data is stored within your system, whether on-premises or in the cloud, that data should have an end-of-life date. Yes, in some cases that date will be never, but there’s relatively little data most organizations need to preserve for all time. Any data that doesn’t meet that standard should sunset at a pre-determined time. Ideally, this should happen automatically, without further action from you or your staff.
PaaS is the Operating System
When looking at container-based PaaS offerings, such as CloudFoundry and Heroku, one can see many of these functions in operation across a set of virtual compute resources. If we consider that Infrastructure-as-a-Service (IaaS), bare metal and virtualized hardware inclusive of traditional operating systems, such as Windows and Linux, all represent the modern day equivalent of a compute node in a cloud universe then we can take the leap that the PaaS provides the interface between the user and that node.
Intelligent Transportation Systems Require Intelligent Mobile Networks
Cisco also showed how Connected Transportation solutions can leverage the intelligent – and virtualized – mobile core network. We demonstrated a [fictional] after-market connected car application (“CarConcierge”) that enables users to remotely start or unlock their car, do a car “health check,” and extract car-sourced analytics over an LTE mobile network. The demonstration showed how the Connected Transportation market will see an explosion of innovative new applications that mobile operators can monetize by providing secure, intelligent, and cost-effective connectivity and process automation to devices and vehicles.
How to define the ISMS scope
You can draw your processes that are included in your ISMS scope, and then outside of this circle draw the processes that are provided from outside of your scope. By processes, I don’t mean only security or IT processes – I mean the main business processes within your scope; ... Once you know the dependencies, you have to identify the interfaces. They are important for a company to understand its ISMS boundaries, and to understand which inputs and outputs will be going through these interfaces in order to protect them better.
Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis
Many articles have been written on why R is better than Excel for data analysis. In this post, I will summarize the reasons why R is advantageous in most data analysis circumstances, with a focus on fantasy football analysis. Although this post focuses on the benefits of using R for fantasy football analysis, the benefits of R extend to many other domains (e.g., finance, time series, machine learning, social sciences; for a list of different domains of R packages, see here).
Calling Dr. Algorithm
The race to develop a working tricorder is just one small aspect of a much larger movement to integrate advanced technologies into the process of delivering healthcare. Although many other fields have been massively disrupted by new technology in the past several decades, healthcare has been relatively immune to change. Unfortunately, the U.S. healthcare system (despite claims that “it is the best in the world”) has serious problems: Although U.S. per capita healthcare costs are the highest of any country in the world, the U.S. lags behind many other countries in terms of key health indicators like longevity and infant mortality.
Preparing Your Enterprise for Big Data
Big data involves the acquisition, transformation, and storage of large volumes of data and its subsequent analysis. To do this, most organizations acquire one or more ready-made solutions from vendors. A popular choice is the IBM DB2 Analytics Accelerator (IDAA), a hybrid hardware and software solution from IBM. This hardware (sometimes called an appliance) includes a multiple terabyte disk storage array in a special-purpose hardware chassis, as well as high-speed networking cables to transfer data from enterprise storage. Once the data is stored in the appliance it can be accessed as if it were a database.
Why Enterprise Architecture?
Enterprise Architecture (EA) is no longer a tool or process only exercised by the IT department to capture a static image of the IT infrastructure. EA has climbed the corporate ladder and now resides with upper management as a decision support tool translating business vision and strategy into effective enterprise change. By incorporating and integrating Project Portfolio Management (PPM), Enterprise Risk Management (ERM), and executive leadership’s vision, EA now takes a risk based approach to help organizations achieve mission goals and accomplish business objectives by selecting, controlling and evaluating projects to determine the best mix of projects and the right level of investment to make in each.
The State of Practice in Model-Driven Engineering
The study reflects a wide range of maturity levels with MDE: questionnaire respondents were equally split among those in early exploration phases, those carrying out their fi rst MDE project, and those with many years’ experience with MDE. Interviewees were typically very experienced with MDE. We discovered several surprises about the way that MDE is being used in industry, and we learned a lot about how companies can tip the odds in their favor when adopting it. Many of the lessons point to the fact that social and organizational factors are at least as important in determining success as technical ones. We describe elsewhere the gory details of the research approach.
Quote for the day:
"A leader should demonstrate his thoughts and opinions through his actions, not through his words." -- Jack Weatherford
In practice – as can be seen in part via that list above – it’s often the case that each value and validation-service is supported by a relatively small core-team whose job it is to ‘hold the flag’ for the respective value. Also in practice, each of these core-teams would (or should) typically report direct to the organisation’s senior-executives – because in most cases, it’s that executive board who are formally liable and accountable for compliance to the respective laws, regulations and standards around that respective value.
A Big Data Strategy — A CIO Survival Tool for Today’s Organization
Even if data is useful today, it may not be useful in a month, or six months, or a year. So whenever data is stored within your system, whether on-premises or in the cloud, that data should have an end-of-life date. Yes, in some cases that date will be never, but there’s relatively little data most organizations need to preserve for all time. Any data that doesn’t meet that standard should sunset at a pre-determined time. Ideally, this should happen automatically, without further action from you or your staff.
PaaS is the Operating System
When looking at container-based PaaS offerings, such as CloudFoundry and Heroku, one can see many of these functions in operation across a set of virtual compute resources. If we consider that Infrastructure-as-a-Service (IaaS), bare metal and virtualized hardware inclusive of traditional operating systems, such as Windows and Linux, all represent the modern day equivalent of a compute node in a cloud universe then we can take the leap that the PaaS provides the interface between the user and that node.
Cisco also showed how Connected Transportation solutions can leverage the intelligent – and virtualized – mobile core network. We demonstrated a [fictional] after-market connected car application (“CarConcierge”) that enables users to remotely start or unlock their car, do a car “health check,” and extract car-sourced analytics over an LTE mobile network. The demonstration showed how the Connected Transportation market will see an explosion of innovative new applications that mobile operators can monetize by providing secure, intelligent, and cost-effective connectivity and process automation to devices and vehicles.
You can draw your processes that are included in your ISMS scope, and then outside of this circle draw the processes that are provided from outside of your scope. By processes, I don’t mean only security or IT processes – I mean the main business processes within your scope; ... Once you know the dependencies, you have to identify the interfaces. They are important for a company to understand its ISMS boundaries, and to understand which inputs and outputs will be going through these interfaces in order to protect them better.
Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis
Many articles have been written on why R is better than Excel for data analysis. In this post, I will summarize the reasons why R is advantageous in most data analysis circumstances, with a focus on fantasy football analysis. Although this post focuses on the benefits of using R for fantasy football analysis, the benefits of R extend to many other domains (e.g., finance, time series, machine learning, social sciences; for a list of different domains of R packages, see here).
Calling Dr. Algorithm
The race to develop a working tricorder is just one small aspect of a much larger movement to integrate advanced technologies into the process of delivering healthcare. Although many other fields have been massively disrupted by new technology in the past several decades, healthcare has been relatively immune to change. Unfortunately, the U.S. healthcare system (despite claims that “it is the best in the world”) has serious problems: Although U.S. per capita healthcare costs are the highest of any country in the world, the U.S. lags behind many other countries in terms of key health indicators like longevity and infant mortality.
Preparing Your Enterprise for Big Data
Big data involves the acquisition, transformation, and storage of large volumes of data and its subsequent analysis. To do this, most organizations acquire one or more ready-made solutions from vendors. A popular choice is the IBM DB2 Analytics Accelerator (IDAA), a hybrid hardware and software solution from IBM. This hardware (sometimes called an appliance) includes a multiple terabyte disk storage array in a special-purpose hardware chassis, as well as high-speed networking cables to transfer data from enterprise storage. Once the data is stored in the appliance it can be accessed as if it were a database.
Why Enterprise Architecture?
Enterprise Architecture (EA) is no longer a tool or process only exercised by the IT department to capture a static image of the IT infrastructure. EA has climbed the corporate ladder and now resides with upper management as a decision support tool translating business vision and strategy into effective enterprise change. By incorporating and integrating Project Portfolio Management (PPM), Enterprise Risk Management (ERM), and executive leadership’s vision, EA now takes a risk based approach to help organizations achieve mission goals and accomplish business objectives by selecting, controlling and evaluating projects to determine the best mix of projects and the right level of investment to make in each.
The State of Practice in Model-Driven Engineering
The study reflects a wide range of maturity levels with MDE: questionnaire respondents were equally split among those in early exploration phases, those carrying out their fi rst MDE project, and those with many years’ experience with MDE. Interviewees were typically very experienced with MDE. We discovered several surprises about the way that MDE is being used in industry, and we learned a lot about how companies can tip the odds in their favor when adopting it. Many of the lessons point to the fact that social and organizational factors are at least as important in determining success as technical ones. We describe elsewhere the gory details of the research approach.
Quote for the day:
"A leader should demonstrate his thoughts and opinions through his actions, not through his words." -- Jack Weatherford
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