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Data, information, knowledge and power – exploring Open Knowledge’s new core purpose | Tim's Blog

Data, information, knowledge and power – exploring Open Knowledge’s new core purpose | Tim's Blog | dataInnovation | Scoop.it

Summary: a contribution to debate about the development of open knowledge movements


Via Irina Radchenko
Fàtima Galan's insight:

The Open Knowledge Foundation (re-named as as ‘Open Knowledge’) are soft-launching a new brand over the coming months.

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dataInnovation
Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
Curated by Fàtima Galan
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Meet Google's new search king

Meet Google's new search king | dataInnovation | Scoop.it
Meet John Giannandrea, an expert in artificial intellgience who's taking over as Google's new search chief.
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Taller Intensivo de Periodismo de Datos

Organizado por el Departamento de Ciencias de la Comunicación y Periodismo, se realizó en la UCA, un Taller intensivo sobre Periodismo de Datos, dictado por ...


Via Cátedra Libre Open Gov (CLOG)
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Introduction to Linked Data and the Semantic Web - University of Southampton

Introduction to Linked Data and the Semantic Web - University of Southampton | dataInnovation | Scoop.it
Learn the power of Linked Data, explore how it’s revolutionising the web and get to grips with it by writing queries in SPARQL.
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Pedro Domingos: "The Master Algorithm" | Talks at Google

Pedro Domingos: "The Master Algorithm" | Talks at Google | dataInnovation | Scoop.it
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and g...
Fàtima Galan's insight:

"Where does knowledge come from?

Until very recently, it came from just three sources, number
1. evolution: encoded in your DNA
2. experience: encoded in your neurons
3. culture: the knowledge you acquire by talking with other people, reading books...
Now what's there's a fourth source of knowledge: computers.

"

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The Future of Artificial Intelligence is Here

The Future of Artificial Intelligence is Here | dataInnovation | Scoop.it
By: Abdul Razack, SVP & head of platforms, big data and analytics at Infosys
Artificial intelligence is rapidly changing the business and consumer land…
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Apache Spark vs. Apache Drill | MapR

Apache Spark vs. Apache Drill | MapR | dataInnovation | Scoop.it
If you’re thinking about working with big data, you might be wondering which tools you should use. If you are trying to enable SQL-on-Hadoop then you might be considering the use of Apache Spark or Apache Drill.
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How Applications of Big Data Drive Industries

How Applications of Big Data Drive Industries | dataInnovation | Scoop.it
How industries like banking, healthcare, education, manufacturing, Insurance, retail, etc. are using big data.

Via Luca Naso
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PhysicsTutorRanchi's curator insight, December 19, 2015 8:27 AM

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Fabio Di Pasquale's curator insight, April 5, 2:30 AM

There is a substantial spending on big data, with more than 75% of companies (from different industries) investing in big data in the next two years.

 

Each industry vertical has its own challenges and solutions. Here is a great article and infographics by simplilearn that describe for 10 verticals both main challenges and applications.

The 10 industries are:

1. Banking

2. Communication

3. Healthcare

4. Education

5. Manufacturing

6. Government

7. Insurance

8. Retail

9. Transportation

10. Energy

Emeric Nectoux's curator insight, April 22, 3:29 AM

A Gartner Survey for 2015 shows that more than 75% of companies are investing or are planning to invest in big data in the next two years. These findings represent a significant increase compare to 2012.

Rescooped by Fàtima Galan from Open Government (worldwide)
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Do We Need to Educate Open Data Users?

Do We Need to Educate Open Data Users? | dataInnovation | Scoop.it

Guest post from Tony Hirst Tony Hirst is a Senior Lecturer at The Open University, UK, open data practitioner, and regular blogger at ouseful.info.


Via Cátedra Libre Open Gov (CLOG)
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15 Stunning Big Data Visualizations (And What You Can Learn From Them)

15 Stunning Big Data Visualizations (And What You Can Learn From Them) | dataInnovation | Scoop.it
15 examples of data visualizations that will give you a clearer understanding of what makes a good visualization--and what makes a bad one.

Via Luca Naso
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Luca Naso's curator insight, November 17, 2015 9:26 AM

A list of awesome visualisations!

Not only are they clear and beautiful, but also they keep you focused on the subject and succeed in conveying the story behind the data.

 

If you need to stimulate your creativity for your next dashboard or infographics have a close look at them!

 

Here is my list of top 5:

1. Are we alone?

Stimulate user’s imagination

http://www.bbc.com/future/story/20120821-how-many-alien-worlds-exist


2. Here is today

Give perspective

http://hereistoday.com/

 
3. You fix the budget
Empower the users

http://www.nytimes.com/interactive/2010/11/13/weekinreview/deficits-graphic.html

4. The Internet map

Exploit metaphors

http://internet-map.net/


5. Infographics with Real images

http://marion-luttenberger.squarespace.com/#/infographics/

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Google just released powerful new artificial intelligence software — and it's open source

Google just released powerful new artificial intelligence software — and it's open source | dataInnovation | Scoop.it
The software passes complex data structures ("tensors") through a neural network, or "artificial brain," hence the name Tensor Flow.

Via Grant Montgomery
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​New discussion paper: How Open Data can drive sustainable development

​New discussion paper: How Open Data can drive sustainable development | dataInnovation | Scoop.it
Open Data — data that is freely available online for anyone to use and republish for any purpose — is becoming increasingly important in today’s development agenda driven by the Data Revolution, which has been recognized worldwide as the key engine for achieving the post-2015 UN Sustainable Development Goals. Data is probably one of the most valuable and least-utilized assets of modern governments. In that context, Open Data is being widely recognized as a resource with high economic and social value and as an effective approach for smarter data management.  The primary purpose of Open Data initiatives worldwide is to help governments, businesses and civil society organizations utilize the already available digital data more effectively to drive sustainable development. Many Open Data initiatives involve taking data that is already publicly available and putting it into more usable formats, making it a powerful resource for private sector development, jobs creation, economic growth, and more effective governance and citizen engagement.  In recent years, several studies — including those led by the World Bank — have shown a growing number of Open Data applications around the world, from water management social enterprises in India to agro-businesses in Ghana. The Open Data Impact Map, developed as part of the OD4D (Open Data for Development) network, has more than 1,000 examples of such use cases from over 75 countries, and the list is growing.

Via Irina Radchenko
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How Will Kansas City Run Its Plugged-In, Sensor-Filled Future? | Next City

How Will Kansas City Run Its Plugged-In, Sensor-Filled Future? | Next City | dataInnovation | Scoop.it

The Missouri city has cast itself as the test case for the hopes and concerns about life in a computerized, corporate-run urban environment.

 

It hardly feels correct to call the Kansas City streetcar, a two-mile route that will open in the spring of 2016, a transit project. Sure, the streetcar will move people. But it will also be the spine of a body of sensors, screens and wireless Internet that together make up Kansas City’s “smart city,” North America’s largest such project.

 

Future straphangers, walking at night, will watch as lights brighten at their arrival and fade behind them. A network of digital kiosks will serve as portals to listings for local businesses, events, maps and transit arrival times. CityPost, the maker of those kiosks, will broadcast information to smartphone users in the vicinity — over a municipal WiFi network built and run by Sprint. Parking spot sensors will funnel information about empty spaces to an app for drivers. Cameras mounted on lampposts will send tram drivers warnings about obstacles on the tracks. ....


Via Rob Kitchin
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Las 10 tendencias tecnológicas que predominarán durante los próximos 3 años

Las 10 tendencias tecnológicas que predominarán durante los próximos 3 años | dataInnovation | Scoop.it
Las tendencias tecnológicas se encuentran en constante cambio. Estas son las que se espera dirijan el camino los próximos 3 años. Conócelas y prepárate.

Via Miguel Acero
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Introducing Linked Data And The Semantic Web

Introducing Linked Data And The Semantic Web | dataInnovation | Scoop.it
Introduction to the semantic web of linked data, its advantages and difference between Web 3.0 and Web 2.0

Via Irina Radchenko
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Introduction to Apache Spark with Examples and Use Cases | MapR

Introduction to Apache Spark with Examples and Use Cases | MapR | dataInnovation | Scoop.it
I first heard of Spark in late 2013 when I became interested in Scala, the language in which Spark is written. Some time later, I did a fun data science project trying to predict survival on the Titanic. This turned out to be a great way to get further introduced to Spark concepts and programming. I highly recommend it for any aspiring Spark developers looking for a place to get started.
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Unsupervised Deep Parsing

Unsupervised Deep Parsing | dataInnovation | Scoop.it
As I have written before, it is not always easy to understand the possibilities of current-day text analytics algorithms, much more can be done than we actually are aware of. Among some of the more
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The 7 technologies changing your world

The 7 technologies changing your world | dataInnovation | Scoop.it
A post to help you navigate the technologies of the Fourth Industrial Revolution

Via Grant Montgomery
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10 text, sentiment, and social analytics trends for 2016

10 text, sentiment, and social analytics trends for 2016 | dataInnovation | Scoop.it
Text, sentiment, and social analytics help you tune in, at scale, to the voice of the customer, patient, public, and market. The technologies are currently being applied in an array of industries ranging from healthcare to finance, media, and consumer markets. They distill business insight from online, social, and enterprise data sources.
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Turning open data into business innovation

OpenData can enable Innovation in the collaborative city and how it translates into an innovation opportunity for the private sector including startups. (Example ...


Via Cátedra Libre Open Gov (CLOG)
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Big Data in Healthcare Sector ? Revolutionizing the Management of Laborious Tasks | Simplilearn

Big Data in Healthcare Sector ? Revolutionizing the Management of Laborious Tasks | Simplilearn | dataInnovation | Scoop.it
As technology grows in healthcare, the type of data sources volumes available for analysis grows with it; Big data solutions targets to harness these huge and complex data.
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The Importance Of Big Data In International Banking

The Importance Of Big Data In International Banking | dataInnovation | Scoop.it
Big Data is the new buzzword as far as mass operations, iterations and manipulations are concerned. The data becomes an asset that requires cost-effective innovations ...

Via Luca Naso
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Luca Naso's curator insight, November 19, 2015 12:19 PM

How is Big Data changing the banks business? And how this can add value for customers?


Today it is imperative to use machine learning for detecting frauds and mitigating risks. The next step should be solidifying the relationship with clients, by offering what they really need, not what the bank wants to sell.

 

The 6 uses of Big Data in banking

1. Increase efficiency - shorten the time to get information from db

2. Reduce cost - in maintaining the data infrastructure

3. Prevent fraud - self-evident

4. Accountability - better evaluation of clients' risk

5. New revenue streams - the more you know the more you can offer

6. Client satisfaction - by offering a better customer experience

Ian Dunne's curator insight, December 1, 2015 11:41 AM

How is Big Data changing the banks business? And how this can add value for customers?


Today it is imperative to use machine learning for detecting frauds and mitigating risks. The next step should be solidifying the relationship with clients, by offering what they really need, not what the bank wants to sell.

 

The 6 uses of Big Data in banking

1. Increase efficiency - shorten the time to get information from db

2. Reduce cost - in maintaining the data infrastructure

3. Prevent fraud - self-evident

4. Accountability - better evaluation of clients' risk

5. New revenue streams - the more you know the more you can offer

6. Client satisfaction - by offering a better customer experience

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What is Hadoop - An Easy Explanation For Absolutely Anyone – Data Science Central

What is Hadoop - An Easy Explanation For Absolutely Anyone – Data Science Central | dataInnovation | Scoop.it

Via Pierre Levy
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Pierre Levy's curator insight, November 16, 2015 10:12 AM

Short and simple explanation. Hadoop uses a lot of servers as if it was one single computer...

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Data Integration as a key for Big Data success

Data Integration as a key for Big Data success | dataInnovation | Scoop.it
If you want to figure out Big Data and marketing, it starts with one core tenet and eight basic questions.

Via Luca Naso
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Luca Naso's curator insight, November 15, 2015 11:50 AM

A key topic when trying to leverage Big Data is data integration.

Data integration can take long time and is crucial to really benefit from big data.

 

Silo breaking, made possible by data integration, is what can let a company move from applying short-term tactics to creating a long-term strategy.

 

It goes without saying that without some good questions (i.e. business objectives) even good data integration is of little use.

One good suggestion for defining the goal is to put the customer in the center, for real.

 

8 basic question to help you get started on the right track:

1. Who is your customer?

2. What do they need?

3. What data should you be looking for to see if you are delivering?

4. Where is the data coming from?

5. How is it stored/organized?

6. Who looks at it and how often?

7. Who is analyzing it?

8. Who is presenting it?

Auriane Boyé's curator insight, November 26, 2015 7:08 AM

A key topic when trying to leverage Big Data is data integration.

Data integration can take long time and is crucial to really benefit from big data.

 

Silo breaking, made possible by data integration, is what can let a company move from applying short-term tactics to creating a long-term strategy.

 

It goes without saying that without some good questions (i.e. business objectives) even good data integration is of little use.

One good suggestion for defining the goal is to put the customer in the center, for real.

 

8 basic question to help you get started on the right track:

1. Who is your customer?

2. What do they need?

3. What data should you be looking for to see if you are delivering?

4. Where is the data coming from?

5. How is it stored/organized?

6. Who looks at it and how often?

7. Who is analyzing it?

8. Who is presenting it?

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Why 5 Companies Chose Amazon Redshift

Why 5 Companies Chose Amazon Redshift | dataInnovation | Scoop.it
Neustar
Redshift knocked it out of the park, in my opinion. In fact, the appeal of Redshift is much like the appeal of the Summarizer to me: it takes a non-tr…
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