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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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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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What is Data Management? –

What is Data Management? – | Enterprise Architecture | Scoop.it
What is Data Management? – A Definition of Data Management Data management is an administrative process that includes acquiring, validating, storing, protecting, and processing required data to ensure the accessibility, reliability, and timeliness of the data for its users. Organizations and…
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Opinion | How to Regulate Artificial Intelligence - The New York Times

Opinion | How to Regulate Artificial Intelligence - The New York Times | Enterprise Architecture | Scoop.it
Three rules for ensuring that A.I. systems don’t run roughshod over humans.
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Got APIs? Why You Still Need an Integration Platform

Got APIs? Why You Still Need an Integration Platform | Enterprise Architecture | Scoop.it
Pervasive Integration—integration being driven out of the datacenter to the front office to connect cloud to ground, cloud to cloud, ground to mobile, and
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Pushing The Ethical Boundaries Of Big Data: A Look At China's Social Credit Scoring System

Pushing The Ethical Boundaries Of Big Data: A Look At China's Social Credit Scoring System | Enterprise Architecture | Scoop.it
China has created a new social credit score system for its 1.3 billion citizens. What are the ethical ramifications of using big data in this way?
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MIT's Humanist Chaplain on the Future of Tech Ethics

MIT's Humanist Chaplain on the Future of Tech Ethics | Enterprise Architecture | Scoop.it
Greg Epstein wants the next wave of entrepreneurs to start considering the implications of their work.
Emeric Nectoux's insight:
Very good move!
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Multi-cloud requires a new security strategy - CSO | The Resource for Data Security Executives

Multi-cloud requires a new security strategy - CSO | The Resource for Data Security Executives | Enterprise Architecture | Scoop.it
​As companies spread their wings and journey into the cloud, their workloads inevitably spread into multiple cloud services. While multi-cloud is now seen as a desirable strategy for business, this hasn’t always been the case. Early approaches to cloud adoption often involved moving workloads into a single public cloud service.
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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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Artificial Intelligence Use Cases - Datamation

Artificial Intelligence Use Cases - Datamation | Enterprise Architecture | Scoop.it
A look at some of the biggest and best Artificial Intelligence use cases, with an eye toward portraying the competitive advantage of AI.
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Data Science for Startups: Introduction –

I recently changed industries and joined a startup company where I’m responsible for building up a data science discipline. While we already had a solid data pipeline in place when I joined, we…
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Microservices Series #4: Beware the monolith

Microservices Series #4: Beware the monolith | Enterprise Architecture | Scoop.it
Monolithic architecture is a key problem with enterprise software development.
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Digital Transformation Myths and How They Hold You Back - InformationWeek

Digital Transformation Myths and How They Hold You Back  - InformationWeek | Enterprise Architecture | Scoop.it
Most companies have learned that digital transformation isn't easy, and often the challenges appear when they try to do to much too fast.
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Tech’s Ethical ‘Dark Side’: Harvard, Stanford and Others Want to Address It - The New York Times

Tech’s Ethical ‘Dark Side’: Harvard, Stanford and Others Want to Address It - The New York Times | Enterprise Architecture | Scoop.it
Schools that helped produce some of Silicon Valley’s most prominent leaders are hustling to bring a more medicine-like morality to computer science.
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Best Practices for Cloud Negotiation

Best Practices for Cloud Negotiation | Enterprise Architecture | Scoop.it
Sourcing, procurement and vendor management leaders must develop a negotiation and risk mitigation strategy before selecting a cloud IaaS solution.
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Instead of Optimizing Processes, Reimagine Them as Platforms

Instead of Optimizing Processes, Reimagine Them as Platforms | Enterprise Architecture | Scoop.it
They could turn into your next business model.
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