21st Century Learning and Teaching

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.

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

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.

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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...

Emergent technologies are poised to radically change how we work and live. They will transform our cities and workplaces, shifting jobs and entrepreneurship in new directions, and spur new ways to manage our lives. All of society will be affected, up to and including how we interact with machines themselves.

Sophisticated machines and applications that communicate online will accelerate demand for broadband internet and challenge existing information and telecommunication norms.

All of this will require ongoing discussions about security, infrastructure and open-data policy and planning. We now need action. We must move past: “We know it’s coming and have to do something” to “Here is how we can implement and collaborate to make it happen.”

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http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=wearables

http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=Internet+of+Things

http://www.scoop.it/t/securite-pc-et-internet/?tag=Internet+of+things

http://globaleducationandsocialmedia.wordpress.com/2014/01/21/why-is-it-a-must-to-have-basics-knowledge-of-cyber-security-in-a-connected-technology-world/

http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=Smart+Cities

Eric Schmidt, the executive chairman of Alphabet, says AI can be harnessed to help solve major challenges like climate change, food security, and many other problems in health care, energy, and other critical sectors. Machine learning algorithms can directly analyze thousands of previous cases of different types of diseases and make their own conclusions as to what constitutes a sick individual versus a healthy individual, and consequently help diagnose dangerous conditions including cancer. Also, the technology is being fed big data to help scientists understand and predict the effects of climate change.

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

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.

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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

Jack Ma is optimistic about jobs in the age of AI and automation — but only if we start educating our children differently. Computers will always be better at calculating than we will, so we need to focus on service and creativity to be prepared.

“MADE IN INTERNET”

Jack Ma, founder and chairman of Alibaba, isn’t afraid of artificial intelligence (AI) or automation. Instead, he thinks we need to prepare in the right ways for the massive, disruptive changes these forces are precipitating.

“In the last 200 years, manufacturing [brought] jobs. But today, because of the artificial intelligence, because of the robots, manufacturing is no longer the main engine of creating jobs,” Ma said Wednesday at the Bloomberg Global Business Forum. “The service industry is going to be the main driver for job creation.”

ADAPTATION WILL CREATE JOBS

Ma’s not alone in this thinking; many experts feel that the way we currently teach children is ineffective, outdated,won’t prepare them for automation or STEM jobs, and renders higher learning inaccessible to too many. But when it comes to AI, Ma joins a debate that’s much more polarizing, with experts taking positions across the spectrum of opinion.

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https://gustmees.wordpress.com/2015/05/26/what-are-the-skills-needed-from-students-in-the-future/

Regulating the internet giants

The world’s most valuable resource is no longer oil, but data

The data economy demands a new approach to antitrust rules

A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans—Alphabet (Google’s parent company), Amazon, Apple, Facebook and Microsoft—look unstoppable. They are the five most valuable listed firms in the world. Their profits are surging: they collectively racked up over $25bn in net profit in the first quarter of 2017. Amazon captures half of all dollars spent online in America. Google and Facebook accounted for almost all the revenue growth in digital advertising in America last year.

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

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