Education 2.0 & 3.0
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Rescooped by Yashy Tohsaku from 21st Century Learning and Teaching
March 1, 2018 10:42 AM
Scoop.it!

Content intelligence: a new step in the Scoop.it journey | #Curation #ContentCuration #ContentStrategy #ContentMarketing #BigData #AI

Content intelligence: a new step in the Scoop.it journey | #Curation #ContentCuration #ContentStrategy #ContentMarketing #BigData #AI | Education 2.0 & 3.0 | Scoop.it

Everyday, there are 4 million blog posts, 100,000 news articles and 500,000 hours of video published on the Internet. A wealth of information and knowledge. A wealth of information and knowledge that is lost for most companies, at least for the most part.

Lost?

Step 1: content curation
Not entirely. Thanks to content curation technology, the Web can now be filtered. With content curation tools and platforms such as Scoop.it (among others of course), we can use more or less sophisticated ways to filter this huge amount of content that is published daily to zoom in on what matters to us. Good content curation technology is essential. It saves people a huge amount of time looking for content to share for marketing purposes or information that helps their organization make better decisions. And perhaps as importantly, without these filters, we would just be able to search – not discover. We would still find answers to what we don’t know but we wouldn’t know what we don’t know.

But until recently, all the solutions we’ve offered to deal with information overload – ours included – have revolved around the same basic idea: more – or more sophisticated – filters.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Curation

 

 


Via Gust MEES
Gust MEES's curator insight, March 1, 2018 10:40 AM

Everyday, there are 4 million blog posts, 100,000 news articles and 500,000 hours of video published on the Internet. A wealth of information and knowledge. A wealth of information and knowledge that is lost for most companies, at least for the most part.

Lost?

Step 1: content curation
Not entirely. Thanks to content curation technology, the Web can now be filtered. With content curation tools and platforms such as Scoop.it (among others of course), we can use more or less sophisticated ways to filter this huge amount of content that is published daily to zoom in on what matters to us. Good content curation technology is essential. It saves people a huge amount of time looking for content to share for marketing purposes or information that helps their organization make better decisions. And perhaps as importantly, without these filters, we would just be able to search – not discover. We would still find answers to what we don’t know but we wouldn’t know what we don’t know.

But until recently, all the solutions we’ve offered to deal with information overload – ours included – have revolved around the same basic idea: more – or more sophisticated – filters.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Curation

 

 

Rescooped by Yashy Tohsaku from 21st Century Learning and Teaching
January 31, 2018 9:37 AM
Scoop.it!

How Big Data Is Empowering AI and Machine Learning at Scale | #DeepLEARNing 

Big Data is powerful on its own. So is artificial intelligence. What happens when the two are merged?

Big data is moving to a new stage of maturity — one that promises even greater business impact and industry disruption over the course of the coming decade. As big data initiatives mature, organizations are now combining the agility of big data processes with the scale of artificial intelligence (AI) capabilities to accelerate the delivery of business value.

Big Data and AI at MetLife

Pete Johnson is one of the most experienced executives working in the field of big data and AI within industry today. Having worked in the field of artificial intelligence for a generation dating back to his academic career at Yale University, Johnson now leads big data and AI initiatives as a fellow at MetLife. Johnson previously held positions as senior vice president for Strategic Technology with Mellon Bank and served as the executive vice president and chief technology officer of Cognitive Systems Inc. (CSI), an early artificial intelligence company specializing in natural language processing, expert systems, case-based reasoning, and data mining. CSI was founded by several members of the Yale University faculty in 1981, when Johnson completed his MS in computer science.

 

Johnson, whom I’ve known for over a decade, is a regular participant in a series of executive thought-leadership breakfasts that I host for senior industry executives to share perspectives on topics in big data, AI, and machine learning among their peers. Participants in the most recent executive breakfasts have included chief data officers, chief analytics officers, chief digital officers, chief technology officers, and heads of big data for firms including AIG, American Express, Blackrock, Charles Schwab, CitiGroup, General Electric (GE), MetLife, TD Ameritrade, VISA, and Wells Fargo, among others.

 

As a long-suffering expert in the field of artificial intelligence, Johnson observes three critical ways in which big data is now empowering AI:

Big data technology — We have the ability now to process huge quantities of data that previously required extremely expensive hardware and software, or “commodity parallelism.”Availability of large data sets — ICR, transcription, voice and image files, weather data, and logistics data are now available in ways that were never possible in the past; even old “paper sourced” data is coming online.Machine learning at scale — “Scaled up” algorithms such as recurrent neural networks and deep learning are powering the breakthrough of AI.

 

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=machine+learning

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Deep+Learning

 

 


Via Gust MEES
Gust MEES's curator insight, January 30, 2018 5:39 PM

Big Data is powerful on its own. So is artificial intelligence. What happens when the two are merged?

Big data is moving to a new stage of maturity — one that promises even greater business impact and industry disruption over the course of the coming decade. As big data initiatives mature, organizations are now combining the agility of big data processes with the scale of artificial intelligence (AI) capabilities to accelerate the delivery of business value.

Big Data and AI at MetLife

Pete Johnson is one of the most experienced executives working in the field of big data and AI within industry today. Having worked in the field of artificial intelligence for a generation dating back to his academic career at Yale University, Johnson now leads big data and AI initiatives as a fellow at MetLife. Johnson previously held positions as senior vice president for Strategic Technology with Mellon Bank and served as the executive vice president and chief technology officer of Cognitive Systems Inc. (CSI), an early artificial intelligence company specializing in natural language processing, expert systems, case-based reasoning, and data mining. CSI was founded by several members of the Yale University faculty in 1981, when Johnson completed his MS in computer science.

 

Johnson, whom I’ve known for over a decade, is a regular participant in a series of executive thought-leadership breakfasts that I host for senior industry executives to share perspectives on topics in big data, AI, and machine learning among their peers. Participants in the most recent executive breakfasts have included chief data officers, chief analytics officers, chief digital officers, chief technology officers, and heads of big data for firms including AIG, American Express, Blackrock, Charles Schwab, CitiGroup, General Electric (GE), MetLife, TD Ameritrade, VISA, and Wells Fargo, among others.

 

As a long-suffering expert in the field of artificial intelligence, Johnson observes three critical ways in which big data is now empowering AI:

 

  1. Big data technology — We have the ability now to process huge quantities of data that previously required extremely expensive hardware and software, or “commodity parallelism.”
  2. Availability of large data sets — ICR, transcription, voice and image files, weather data, and logistics data are now available in ways that were never possible in the past; even old “paper sourced” data is coming online.
  3. Machine learning at scale — “Scaled up” algorithms such as recurrent neural networks and deep learning are powering the breakthrough of AI.

 

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=machine+learning

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Deep+Learning

 

 

Rescooped by Yashy Tohsaku from 21st Century Learning and Teaching
February 18, 2018 1:15 PM
Scoop.it!

Big Data 2017: Top 100 Influencers and Brands | #Analytics 

Big Data 2017: Top 100 Influencers and Brands | #Analytics  | Education 2.0 & 3.0 | Scoop.it

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

 

Big data can be analysed for insights that lead to better decisions and strategic business moves. The Big Data market is expected to grow to $66.79 Billion by 2021, with investment in analytics hardware, software, services and data scientists pouring in.

WHAT ARE THE INFLUENCERS SAYING?

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...

 


Via Gust MEES
Gust MEES's curator insight, February 18, 2018 6:51 AM

Big data analytics is the process of examining large and varied data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

 

Big data can be analysed for insights that lead to better decisions and strategic business moves. The Big Data market is expected to grow to $66.79 Billion by 2021, with investment in analytics hardware, software, services and data scientists pouring in.

WHAT ARE THE INFLUENCERS SAYING?

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...

 

Rescooped by Yashy Tohsaku from 21st Century Learning and Teaching
December 27, 2017 5:42 PM
Scoop.it!

How Artificial Intelligence is Making Big Data Better Than Ever | #AI 

How Artificial Intelligence is Making Big Data Better Than Ever | #AI  | Education 2.0 & 3.0 | Scoop.it
The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless.  As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.

The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...

 


Via Gust MEES
Gust MEES's curator insight, December 27, 2017 5:03 PM
The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless.  As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.

The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...