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My shared EA's Library Of Knowledge. The most stunning articles related to the whole-of-the-enterprise architecture. Dig and you make up your own mind!
Curated by Emeric Nectoux
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How to Think Like an Enterprise Architect? ~ Future of CIO

How to Think Like an Enterprise Architect? ~ Future of CIO | Enterprise Architecture | Scoop.it
Enterprise Architecture is the discipline not just for Enterprise Architects, it's the thinking process every business leader should master; and it's the discipline every mature organization needs to practice.
Emeric Nectoux's insight:

Enterprise Architecture is the discipline not just for Enterprise Architects, it's the thinking process every business leader should master; and it's the discipline every mature organization needs to practice.  

 

Not everyone should be an EA, neither everyone wants to be an EA,  but everyone can learn how to think like architect through: systematic thinking, system thinkingholistic thinking, critical thinking, creative thinking, analytics thinking, synthetic thinking, non-linear thinking, abstract thinking, design thinking, whole-brain thinking, positive thinking, etc...

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Jaakko Kuosmanen's curator insight, February 11, 2015 8:38 AM

Arkkitehtuuripäivä 25.3.2015: https://kurssit.wakaru.fi/event/index.php?e_hash=5888001583cffd3cae365ab8b482cbe9&from=scoopit

Daniel Tremblay's curator insight, January 16, 2017 12:00 PM
L'architecture d'entreprise n'est pas réservée qu'aux conseillers en architecture.  Tous peuvent apprendre à penser "Architecture d'entreprise".

Trois caractéristiques requises?
- Ouverture d'esprit, pensées critiques et créatives
- Communicateur
- Créateur de synergie d'équipe
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Security Architecture Frameworks - Yay or Nay?

Security Architecture Frameworks - Yay or Nay? | Enterprise Architecture | Scoop.it
This post is about a topic that few of us ponder often: security architecture frameworks. We have some exciting research plans in this area, hence this blog series. Perhaps one can say that dumb people think of boxes, smart people think of processes, wise people think of architectures?
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What's really holding back today's CIO from digital transformation?

What's really holding back today's CIO from digital transformation? | Enterprise Architecture | Scoop.it
A new generation of IT leader has been arriving on the scene, more in-tune with the business, more collaborative, and with better soft skills, but a legacy tangle of tech stands in the way of moving towards the future.
Emeric Nectoux's insight:

HOW CIOS CAN OVERCOME KEY BARRIERS TO DIGITAL TRANSFORMATION

While there is no silver bullet (there rarely is in the technology world), there are some clear steps that IT and business leaders can take to get a handle on and address these challenges:

  • Institute a process to begin measuring technical debt. Although a fraught topic with low maturity across the industry, not starting is a good way to never resolve the issue. It's a touchy topic, but necessary in most organizations to embark on meaningful digital transformation.
  • Have a frank discussion about overall IT spending using benchmarking as a discussion. Do you want to be the Amazon, Netflix, or Airbnb of your industry? You'll likely need to invest a lot more than you are today and it will have medium-term impacts to the bottom line, as you're competing with companies who understand this. It's a board level discussion. And don't forget to include line-of-business spending and Shadow IT in the conversation.
  • Experiment prolifically in digital and provide air cover to those that don't succeed.Considerable research now shows that the risk takers are the ones that win in digital. Enlist change agents, but very importantly, protect them if they are not successful at first. No one will come after them if failures are not looked at as key and necessary lessons in digital. Spread those lessons as they are learned across the organization.
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Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data - DATAVERSITY

Data Warehouse vs. Data Lake Technology: Different Approaches to Managing Data - DATAVERSITY | Enterprise Architecture | Scoop.it
The on-going debate of whether to use a Data Warehouse vs. Data Lake are many, but when viewed through the lens of a focused Data Architecture Strategy, the choices become more well-defined
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Does the ten thousand hour rule apply to Enterprise Architects?

Does the ten thousand hour rule apply to Enterprise Architects? | Enterprise Architecture | Scoop.it
Do some enterprise architects become masters at their discipline without hours of practice, or does it really take 10,000 hours? Of course 10,000 hours is a long time. 5 hours per day for 10 years? Its not a fast process, and most people are always looking for short cuts. Is 10,000 hours the average or…
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Graph-based Enterprise Architecture Management - Linkurious

Graph-based Enterprise Architecture Management - Linkurious | Enterprise Architecture | Scoop.it
With relationships at the center of their model, graph technologies like Linkurious are ideal to drive change and innovation in complex environments.
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Types of Technology Roadmaps + IT Roadmap Templates to Guide Your Tech Strategy

Types of Technology Roadmaps + IT Roadmap Templates to Guide Your Tech Strategy | Enterprise Architecture | Scoop.it
Technology Roadmaps, also known as IT Roadmap, helps management make sound decisions about technical investments.Following are types of technology roadmaps...
Emeric Nectoux's insight:

Good summary of different types of technology roadmaps and provides samples of ready-made technology roadmap templates to help you execute your IT strategy.

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BIAN Edition 2019 – A framework for the financial services industry

BIAN Edition 2019 – A framework for the financial services industry | Enterprise Architecture | Scoop.it

The Banking Industry Architecture Network (BIAN) is an association of banks, solution providers and educational institutions with the shared aim of defining a semantic service operation standard for the banking industry. BIAN’s expectation is that a standard definition of the business functions and service interactions that describe the general internal workings of any bank or organization in the banking ecosystem, will be a significant benefit to the industry.

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You Want to do What With Your Data?

You Want to do What With Your Data? | Enterprise Architecture | Scoop.it
You Want to do What With Your Data? By Andrew Sohn, SVP - Global Digital and Analytics Srvcs, Crawford & Company - Any business that's over a few months old has a lot of data. Businesses that are several years old have tons o
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5 Best Practices for Cloud Migration

5 Best Practices for Cloud Migration | Enterprise Architecture | Scoop.it
In earlier posts, I wrote about the five things that any enterprise should do before embarking on a cloud migration project, and I offered tips for adopting agile practices when migrating to the cloud.
Emeric Nectoux's insight:

Quite basic, but always good to remind from time to time...

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It’s Time to Build a Cohesive Data Strategy

It’s Time to Build a Cohesive Data Strategy | Enterprise Architecture | Scoop.it
There should be a charter in place that provides a list of functions for the working group – for instance, to provide oversight, to govern and prioritize Data Strategy, objectives, and investments.
Emeric Nectoux's insight:

Key advices to drive the data topics within any kind of organization. 


 


Must read!

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Microservices From a Startup Perspective

Microservices From a Startup Perspective | Enterprise Architecture | Scoop.it
When starting a journey to microservices, knowing what to consider might be overwhelming. No golden rule that is easily applicable exists. Every journey is different, since every organization is facing different circumstances. In this article I am sharing some lessons learned and challenges from a startup perspective, and what I would do differently the next time introducing microservices.
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Embracing Architecture Flexibility And The Cloud: Imperative #3

Embracing Architecture Flexibility And The Cloud: Imperative #3 | Enterprise Architecture | Scoop.it
Cloud strategy: Here's how to ensure that your data management technology choices provide the flexibility for your business needs.
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A pioneering scientist explains ‘deep learning’

A pioneering scientist explains ‘deep learning’ | Enterprise Architecture | Scoop.it
AI goes back to 1956 in the United States, where engineers decided they would write a computer program that would try to imitate intelligence. Within AI, a new field grew up called machine learning. Instead of writing a step-by-step program to do something — which is a traditional approach in AI — you collect lots of data about something that you’re trying to understand. For example, envision you’re trying to recognize objects, so you collect lots of images of them. Then, with machine learning, it’s an automated process that dissects out various features, and figures out that one thing is an automobile and the other is a stapler.

Machine learning is a very large field and goes way back. Originally, people were calling it “pattern recognition,” but the algorithms became much broader and much more sophisticated mathematically. Within machine learning are neural networks inspired by the brain, and then deep learning. Deep learning algorithms have a particular architecture with many layers that flow through the network. So basically, deep learning is one part of machine learning and machine learning is one part of AI.

Via Don Dea
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Is shadow IT something CIOs should worry about?

Is shadow IT something CIOs should worry about? | Enterprise Architecture | Scoop.it
Here's the CIO perspective on shadow IT and how their peers have responded to the advent of shadow IT within their organizations.
Emeric Nectoux's insight:

Way too often, shadow IT is pinpointed as "the evil". It is a syndrome of unfulfilled needs (IT not being able to fully address business's needs), but sometimes it is also the expression of everybody's innovation and as such should not be rejected massively.

 

CIOs clearly have a major role in determining whether shadow IT becomes an opportunity for improve IT and business relationship. Regardless of how a business capability is initiated, IT needs to ensure business capabilities function appropriately within the enterprise architecture and in accordance with business standards. 

CIOs clearly need to be constructive about IT initiatives created elsewhere in the organization to succeed.

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Here's How You Can Get Your Mulitcloud Architecture Right

Here's How You Can Get Your Mulitcloud Architecture Right | Enterprise Architecture | Scoop.it
There is no doubt that 2017 was a big year for enterprise cloud computing. According to Gartner, 90 percent of global enterprises are currently using some sort of cloud service. Multicloud, however, is shaping up to be the next step in building truly dynamic infrastructures.
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Getting Started with Governance and Compliance for AWS – BMC Blogs

Getting Started with Governance and Compliance for AWS – BMC Blogs | Enterprise Architecture | Scoop.it

As organizations accelerate innovation in the cloud, security and compliance become increasingly complex. Among its many benefits, the Amazon Web Services (AWS) ecosystem offers end users assuredness that governance principles are being upheld and risks associated with operating on the cloud are minimized.

Emeric Nectoux's insight:

One way that Cloud accelerates application deployment is by offering end users a managed services approach to governance through automation.


But before automation can be a real option for enterprise organizations they must accomplish some baseline feats of understanding. This includes being aware of compliance needs and adapting to governance standards, setting up a basic framework with stakeholders and knowledge together with the Cloud Service Provider. 


This article examines how AWS includes governance and compliance provisions to its multi-functional cloud platform for enterprise businesses.

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A 4-Phased Approach to Improving Data Center Security

A 4-Phased Approach to Improving Data Center Security | Enterprise Architecture | Scoop.it
Security threats are increasing, but this high-level roadmap can help organizations better defend the data center.
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What is ENTERPRISE APPLICATION INTEGRATION? What does ENTERPRISE APPLICATION INTEGRATION mean?

What is ENTERPRISE APPLICATION INTEGRATION?

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Intelligence artificielle : l'État exhorte les entreprises à voir plus loin que le bout de leur nez

Intelligence artificielle : l'État exhorte les entreprises à voir plus loin que le bout de leur nez | Enterprise Architecture | Scoop.it
Pour stimuler l'innovation dans l'intelligence artificielle, le secrétaire d'État au Numérique, Mounir Mahjoubi, a appelé mardi 18 septembre les entreprises françaises à davantage ouvrir et mutualiser leurs données. Problème : la collaboration n'est pas le fort des grands groupes français, qui considèrent souvent la donnée comme un or noir qu'il faut protéger de la concurrence.
Emeric Nectoux's insight:

L’intention est bonne, la marche est grande! La donnée est une denrée périssable, la garder dans son coffre-fort n’apporte qu’une chose: payer uniquement son stockage sans en retirer aucune valeur.


Le partage de la donnée est fondamentale, reste à chacun d'établir une gouvernance forte pilotant finement ce partage, certaines informations devant rester confidentielles (tout du moins un certains temps) de façon à apporter un avantage stratégique et d'autres devant être partagées avec un écosystème de façon à servir de levier à de nouvelles sources de bénéfices. 

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Migrating to the cloud Is a good start, but what you do next is critical

Migrating to the cloud Is a good start, but what you do next is critical | Enterprise Architecture | Scoop.it
In complex hybrid cloud environments, visibility, automation and security measures can simplify management and improve efficiency post-migration....
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Human intelligence and AI are vastly different — so let’s stop comparing them

Human intelligence and AI are vastly different — so let’s stop comparing them | Enterprise Architecture | Scoop.it
Qrius.com is an independent website covering news, politics, sports, culture and everything in between. Get the latest news, reportage, analysis and commentary on all that matters in India and beyond
Emeric Nectoux's insight:

AI is not superior to the human brain, or vice versa. They point is, they’re totally different things.


AI is good at repetitive tasks that have clearly defined boundaries and can be represented by data, and bad at broad tasks that require intuition and decision-making based on incomplete information. In contrast, human intelligence is good for settings where you need common sense and abstract decisions, and bad at tasks that require heavy computations and data processing in real time.


Looking at it from a different perspective, we should think about AI as augmented intelligence. AI and human intelligence complement each other, making up for each other’s shortcomings. Together, they can perform tasks that none of them could have done individually.

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Service-Oriented Modeling Framework™ (SOMF™)

Service-Oriented Modeling Framework™ (SOMF™) | Enterprise Architecture | Scoop.it
Enterprise Service-Oriented Modeling: Service Architecture, Discovery, Analysis, and Design for SOA and Cloud Computing
Emeric Nectoux's insight:

Another framework... Might be of interest to you if you're looking for a simple framework for service oriented architecture.

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AI in Healthcare: when will it arrive?

AI in Healthcare: when will it arrive? | Enterprise Architecture | Scoop.it
“Whether ordering a meal, planning a journey or even doing something as simple as unlocking a phone, artificial intelligence (AI) now powers the key interactions between human beings and technology…”
Via Beeyond
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Four Ways To Master Secure Customer Data Management

Four Ways To Master Secure Customer Data Management | Enterprise Architecture | Scoop.it

Managing customer data effectively and securely will allow your business to offer more tailored and personalized experiences.

Emeric Nectoux's insight:

While there isn’t a one-size-fits-all approach to acing customer data management, there are guidelines that any organization should follow when capturing, storing, and analyzing this data.



  1. Identify what the critical data is

  2. Keep it secure and be transparent

  3. Centralize and unify your data

  4. Break down the barriers between internal structures





 

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How CDOs View Data Ethics: Corporate Conscience Or More Regulations?

How CDOs View Data Ethics: Corporate Conscience Or More Regulations? | Enterprise Architecture | Scoop.it
To effectively manage the ethical implications of data, CDOs should adopt new and better approaches for building stronger foundations.
Emeric Nectoux's insight:

To effectively manage the ethical implications of data, CDOs should take the reins and adopt new and better approaches for building stronger foundations. There should be better algorithm management, and CDOs using data analysis tools should ensure that they take care of the ethical issues. Only then would they be able to use that data for something feasible.

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