Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
 Your new post is loading...
Your new post is loading...
Scoop.it!
No comment yet.
Sign up to comment
Scoop.it!
Show Notes:
Via Elizabeth E Charles
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.
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.
Learn more / En savoir plus / Mehr erfahren:
https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...
Scoop.it!
MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face -- because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an eye-opening talk about the need for accountability in coding ... as algorithms take over more and more aspects of our lives. Via Elizabeth E Charles
|
Scoop.it!
The New York Technical Services Librarians, an organization that has been active since 1923 – imagine all that has happened in tech services since 1923! – invited me to give a talk about bias in algorithms. They quickly got a recording up on their site and I am, more slowly, providing the transcript. Thanks for the invite and all the tech support, NYTSL!
Abstract: We are living in an “age of algorithms.” Vast quantities of information are collected, sorted, shared, combined, and acted on by proprietary black boxes. These systems use machine learning to build models and make predictions from data sets that may be out of date, incomplete, and biased. We will explore the ways bias creeps into information systems, take a look at how “big data,” artificial intelligence and machine learning often amplify bias unwittingly, and consider how these systems can be deliberately exploited by actors for whom bias is a feature, not a bug. Finally, we’ll discuss ways we can work with our communities to create a more fair and just information environment. . Via Elizabeth E Charles
Scoop.it!
It is now possible to take a talking-head style video, and add, delete or edit the speaker's words as simply as you'd edit text in a word processor. A new deepfake algorithm can process the audio and video into a new file in which the speaker says more or less whatever you want them to. Via John Evans, Juergen Wagner
Scoop.it!
Big Data is powerful on its own. So is artificial intelligence. What happens when the two are merged? 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 and AI at MetLifePete 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:
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
|
