Archive for the ‘Digital Issues’ category

Biometric Brain Boggle

May 22, 2017

This is an interesting article that was published in Harvard Business Review this month by Anthony Rjeily and Charlie Jacco.

“Passwords Are Terrible, but Will Biometrics Be Any Better”

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Jason R. Baron: why companies should pay attention to growing data volumes and to analytics

September 17, 2015

Jason Baron is awesome!!! Big data, analytics, predictive coding, business ethics and digital humanism… I love Baron’s fannnntabulous mind!!! This is a smart people watch. ~~~Felicia

eDisclosure Information Project

IGIJason R. Baron is Of Counsel at Drinker Biddle & Reath and Co-Chair of the Information Governance Initiative.

He was a keynote speaker at the LawTech Europe Congress in Prague last year, where he gave us many good reasons why companies should be paying attention to the ever-increasing volumes of data which they create and keep, not just to reduce cost and risk but to uncover valuable data.

This is one of two short videos which he recorded for me on that occasion. The other will follow shortly.

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Artificial Intelligence, Deep Neural Networks and Deep Learning: Oh My!!

May 26, 2015
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♥In Love with Technology♥

I can’t explain how much I love learning about technological breakthroughs. I’m not scared in the least bit by much when it comes to the forefront of intellectualism. I recently read a hard copy article in the May 2015 issue of The Economist titled Artificial intelligence:
Rise of the machines. The byline says… “artificial intelligence scares people—excessively so?” Really? What a bunch of wimps!! People continue to fight enlightenment, progression and change to stay in boxes they have built. Not me.

At a speech in October 2014 at the Massachusetts Institute of Technology, a scholar said that artificial intelligence (AI) was “summoning the demon.” People are paranoid that machines will take over in employment’s race for productivity. With industry powerhouses like Google and Amazon buying AI start-up companies, maybe human worries are justified? We will just find other jobs right? It’s called perseverance.

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•Photo I snapped while reading the article in the library.•

Will computers continue to replace some of the things that people normally do? Probably. I loved this quote. “The torrent of data thrown off by the world’s internet-connected computers, tablets and smartphones, and the huge amounts of computing power now available for processing that torrent, means that their algorithms are more and more capable of understanding languages, recognizing images and the like.” Why didn’t I visit the San Diego Supercomputer Center many years ago when I had the chance? I also could have ditched my conference last October to go there! Now that would have been a real memory to cherish!

The article in The Economist said “signs of the AI boom are everywhere.” Google recently paid $400 million for DeepMind. Have you ever heard of DeepMind? If not, you should so check it out!! Pure awesomeness if you like video games. Just Google it and see. There is also a great article in The New Yorker which discusses how deep neural networks operate. Deep neural networks are used by companies like DeepMind. These artificial networks are much like the neural networks in the human brain. It is amazing to read about.

The newest form of AI tied to deep neural networks is now capable of “deep learning!” Computers can learn through the analysis of large amounts of data using algorithms. Freak out on the algorithm Facebook recently deployed. Did you think you were anonymous in that untagged photo? Think again… DeepFace “can recognise specific human faces in images around 97% of the time, even when those faces are partly hidden or poorly lit.” I want to be that smart and write programs like this. It’s not fair!! Male engineers created DeepFace and I give them tons of respect, but why are intelligent women often seen as  domineering? That’s not fair either.

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•Smart Woman Army•

Another thing I found interesting in the article was that since most data is labeled by humans, and algorithms need that data to learn better, another race is on. It is a race to develop “unsupervised-learning” algorithms. This way, the need for human labeling is basically eliminated. How accurate will it be? I guess we will see. Artificial neural networks were invented in the 1950s by people with big brains who wanted bigger, faster, more accurate brains! I lovvvvve brains!! I am so not turned off by them!! Haha… These smart people were simulating the neurons and electrochemicals in a human brain to create artificial intelligence. It worked!!

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♦"Just watch! Imma make my perfect woman!" (Dr.J before the chemical waste accident that birthed The Joker and this is not Harley Quinn)♦

If you are a brave fellow intellectual and enjoy all things mind blowing, you should read the article in The Economist. It so so worth the read. You can also learn about the interesting problem with AI. Do you know the one thing people can immediately identify that a computer simply can’t define? Porn… Yes… pornography. I guess machines provide plenty of access to porn, but don’t ask a damn machine to intelligently recognize porn lol. We can leave that type of analysis to the humans!

Vu Digital Translates Videos Into Structured Data

May 4, 2015

This is awesome! It basically extracts descriptive metadata!!! Nice!! Useful for sure!
~~~Felicia

Information Value Management (IVM)

April 28, 2015

This is a great read by Ariku. It is awesome how he discusses the culture of “silo type” data management and how this “paralyzes the enterprise view of data.” Yes. It does!! I absolutely love Maslow’s hierarchy of needs model and I can see how the model would apply to data management. This is worth a read.
~~~~Felicia

Ariku's Blog

Introduction and Terminology

Information Management (IM)

a framework for managing all dimensions of enterprise data

This framework includes operational applications and their respective data repositories:

  • operational databases
  • data lakes
  • data appliances
  • data warehouses
  • MDM
  • social media
  • imported data from external sources

The management dimension includes data governance elements such as:

  • quality
  • safety
  • the information life cycle
  • standards and policies
  • and procedures for defining and handling data elements and structures

Information Value Management (IVM)

IVM is the subset of Information Management that focuses on maximizing the benefits that accompany high quality data. It’s a process for transforming raw information into refined actionable intelligence. It’s defined by best practices that ensure data quality by employing processes that determine if the information your organization is collecting is useful.

IVM is based on the premise that information cannot reliably support your business decisions and actions until measures, standards, and best practices designed to produce…

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What is a Trusted Content Management System?

March 19, 2015

Review of Preserving Complex Digital Objects

March 17, 2015

Recordkeeping Roundtable

Janet Delve and David Anderson (eds), Preserving Complex Digital Objects, London, Facet, 2014.

In Neil Grindley’s introduction to Preserving Complex Digital Objects he explains that it aims to set out what is currently understood about dealing with complex digital objects and offer a broad framework for starting to manage and address relevant issues. The book is the product of a number of symposia held in the UK in 2011-2012 on different aspects of the preservation of complex objects, funded by JISC, a charitable organisation originally set up by the UK government as the Joint Information Systems Committee in the 1990s. JISC now champions and conducts research and development in the use of information and communications technology (ICT) in learning, teaching, research and administration. Formerly devoting much time to digital preservation research and information sharing, JISC is now more heavily focused on research data management and sharing for the universities and other higher…

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