WHY IT MATTERS: Digital Transformation
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WHY IT MATTERS: Digital Transformation
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How cognitive technologies are transforming capital markets @McKinsey

How cognitive technologies are transforming capital markets @McKinsey | WHY IT MATTERS: Digital Transformation | Scoop.it

Cognitive technologies are transforming capital markets. Once the preserve of IT experts, they are now moving to center stage—offering enhanced speed, accuracy, and efficiency, and creating 20 to 30 percent in additional capacity, as employees in areas such as post-trade processing are freed from automatable tasks to focus on higher-value activities. The challenge for market participants, facing an array of solutions, is to implement at scale and capture the maximum value at the lowest possible risk.

Farid Mheir's insight:

WHY IT MATTERS

AI is entering the financial industry in droves and as this article from McKinsey shows, using digital technology may become essential to survive for many organizations.

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$93B vision fund investor and SoftBank CEO has only one belief — #Singularity

$93B vision fund investor and SoftBank CEO has only one belief — #Singularity | WHY IT MATTERS: Digital Transformation | Scoop.it

The Singularity is coming, Masayoshi Son says. His main thrusts:

  • The Singularity, when artificial intelligence finally outstrips that of humans, will replace huge swaths of jobs.
  • The number of sentient robots on Earth will rival the number of humans.
Farid Mheir's insight:

WHY IT MATTERS

AI will have such a profound impact on our society that it may represent the biggest threat and the biggest opportunity for the future. SoftBank has been clear about making this its top investment priority in the coming years. Others should take notice.

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The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?

The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid? | WHY IT MATTERS: Digital Transformation | Scoop.it

What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you’ll likely read about how AI is powering Amazon and Google’s virtual assistants, or how it’s taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We’re here to help with this living document, a plain-English guide to AI that will be updated and refined as the field evolves and important concepts emerge.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Always very well written and informative articles, this one provides a good summary in simple terms.

Fouzia Raza's curator insight, September 18, 2017 9:24 PM
From bioengineering to customer support, artificial Intelligence offers numerous advantages that tech empires such as Google, Microsoft, and Amazon have pounced upon as a window of opportunity. It is undoubtable that the field will experience tremendous growth in the coming decades, but not without some downfalls. This article gives a brief overview of artificial intelligence including its explosion, importance, and drawbacks. 

R-The source of the article, The Quartz, is a fairly new business news resource with initial launchings occurring in 2012. The news startup longs to deviate from other media giants by focusing on “global business leaders -- digitally savvy, post-national executives who seek information that will help them better navigate the new global economy." Although in its infancy, The Quartz has a slight to moderate liberal bias, and hence might use emotive stylistic techniques that sway audiences to view issues through a certain perspective.

A-In the article itself, the author fails to give an in-depth analysis of the drawbacks of AI and the looming fear of its potential to “circumvent any human attempts to shut them off.” The article thus fails to give a well-balanced account of the potential effects of increased use of AI.

V- The article does succeed in providing reliable, factual information that is supported by research studies, experts such as Musk, and relevant historical events. The author also assesses the importance of AI by presenting its value to companies and hence the global economy. 

E- The author himself possesses a wealth of knowledge on the subject matter; this holds true when looking at the startup media as a whole. Its founding members include experts from The Wall Street Journal, Bloomberg, The Economist, and The New York Times. Given its deep focus on emerging technologies and the latest innovations, it is no doubt that The Quartz possesses a high level of expertise on the subject matter. 
N- It is evident that the author supports the growth of AI in the future by emphasizing the positives. The article does include several drawbacks, such as the possible biases that AI is often demonstrated to have. This is immediately followed up by possible solutions, which demonstrates the ability of improving the technology for further use.
Dave berkeley's curator insight, September 19, 2017 8:24 AM
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Neodriven is a rearview mirror replacement that can make your car semi-autonomous

Neodriven is a rearview mirror replacement that can make your car semi-autonomous | WHY IT MATTERS: Digital Transformation | Scoop.it

A small company called Neodriven, led by former Tesla employee Matt Schulwitz, is announcing a product of the same name that goes on sale today for $1,495. It’s a modified version of the Comma Neo plans that Hotz open sourced, but if Schulwitz has his way, it will be an early player in that revolution.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

You can now buy hardware to turn your car into a self driving car. Makes me think of the Homebrew project where Jobs and Wozniak created the first Apple computer and started a revolution. Guys at comma.ai and neodriven.com are doing the same and it seems that the technology is there to enable this revolution: 3G/LTE, GPS, mobile phone, universal car interface, AI and image recognition. Interesting years ahead.

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Waymo Built a Secret World for Self-Driving Cars #longRead @TheAtlantic

Waymo Built a Secret World for Self-Driving Cars #longRead @TheAtlantic | WHY IT MATTERS: Digital Transformation | Scoop.it
An exclusive look at how Alphabet understands its most ambitious artificial intelligence project
Farid Mheir's insight:

WHY THIS IS IMPORTANT

An in depth article about the Castle, Google self-driving car testing facility in a remote area of California. Full of interesting information about what it takes to get a car to drive with confidence on world scenarios.

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Machine teaching machine: Google #selfDriving car simulation turns 1 intersection in 1000s hrs of experience

Machine teaching machine: Google #selfDriving car simulation turns 1 intersection in 1000s hrs of experience | WHY IT MATTERS: Digital Transformation | Scoop.it

With simulation, we can turn a single real-world encounter — such as a flashing yellow left turn — into thousands of opportunities to practice and master a skill. Here’s how it works.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Google self driving cars rely on human drivers to drive millions of miles and learn the basic driving skills. This story explains how Google has built a self-driving car simulation software called Carcraft to go one step further and use real-world roads into millions of different driving scenarios. 

What is important here is the fact that a machine - here the simulator - can learn from mistakes and improbable driving scenarios and then *instantly* share that knowledge with *all* of the self driving cars in Google's fleet. Humans cannot do that. And this means computers will learn skills - driving, medecine, accounting, law, etc. - extremely fast in the coming years. Be ready to see self driving cars on the road much sooner than you expect.

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Amazon has developed an AI fashion designer via @O_Laborne

Amazon has developed an AI fashion designer via @O_Laborne | WHY IT MATTERS: Digital Transformation | Scoop.it
An Amazon team at Lab126, a research center based in San Francisco, has developed an algorithm that learns about a particular style of fashion from images, and can then generate new items in similar styles from scratch—essentially, a simple AI fashion designer. The approach is crude and hardly ready for Project Runway, but it hints at the possibilities.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

Not only does this experiment show potential for AI to enter the protected world of human creativity, it also signals we soon will be able to go from idea to design to production to sales using AI, automated 3D printing factories and eCommerce. Will we soon see a fully autonomous fashion retailer with no designers, no production staff, no stores that create and sell original clothing?

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17 Everyday Applications of Artificial Intelligence in 2017

17 Everyday Applications of Artificial Intelligence in 2017 | WHY IT MATTERS: Digital Transformation | Scoop.it
Artificial Intelligence seems to make headlines with every innovation, garnering both praise and fear. But is it really at the point where we should fear everyday AI? Here are 17 common place applications for AI systems and a look into where the technology could be going.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

Feels like AI is everywhere these days. True. This list may help you draw the same conclusion I have: look at any task that requires analysis of large volume of data or visual images or sound and there is a good chance AI will be able to help improve them.

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Todai #robot #AI project performed in top 20% on entrance exam U. Tokyo- without understanding a thing

Todai #robot #AI project performed in top 20% on entrance exam U. Tokyo- without understanding a thing | WHY IT MATTERS: Digital Transformation | Scoop.it
Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo -- without actually understanding a thing. While it's not matriculating anytime soon, Todai Robot's success raises alarming questions for the future of human education. How can we help kids excel at the things that humans will always do better than AI?
Farid Mheir's insight:

WHY THIS IS IMPORTANT

The video is short and provides very good explanation of how the AI can pass the University entrance exam without understanding a thing. Nevertheless, I find this amazing because once AI learns something, or acquires a skill, *every* other AI can benefit from it. As opposed to humans who *individually* have to learn new things for themselves. Thus, we can expect AI to learn at an exponential rate and become truly "intelligent" very rapidly. This example should be a wake up call for all of us.

Nuh Yılmaz's comment, September 5, 2017 2:22 AM
http://www.hizliyazilimogren.com/
TestingXperts's comment, September 5, 2017 9:07 AM
great going
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This app is trying to replicate you - or help you get out of paying parking tickets

This app is trying to replicate you - or help you get out of paying parking tickets | WHY IT MATTERS: Digital Transformation | Scoop.it
If someone had been secretly storing every single text, tweet, blog post, Instagram photo, and phone call you’d ever made, would they be able to recreate you?
Farid Mheir's insight:

WHY THIS IS IMPORTANT

The ultimate test for a machine to determine if it is human is the Turing test where a computer can hold a conversation and you cannot tell whether it is a human or a machine behind the screen. These apps are bringing us closer to that possibility...

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#bitcoin mining is huge business - look at how profitable is Bitmain, a chinese R&D custom mining hardware

#bitcoin mining is huge business - look at how profitable is Bitmain, a chinese R&D custom mining hardware | WHY IT MATTERS: Digital Transformation | Scoop.it

Bitmain will probably make around $200M-$250M in profits this year just from their BM1387 chip (they have other products, including a Scrypt ASIC). Even after including ongoing R&D and other future investment, they are likely worth well over $1 Billion as a business and are probably the largest and most profitable company in Bitcoin.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

With bitcoin value at 4K$ USD, companies that specialize in dedicated hardware to mine bitcoins have become more profitable than ever. I find it interesting that this one, bitmain, which appear to be the leader, is Chinese. Morever, one should notice that mining bitcoin is very similar to cracking password or encryption, but it seems that these devices cannot be used for that purpose (https://security.stackexchange.com/questions/62800/is-it-possible-to-use-bitcoin-miners-to-decrypt-files-communication ) . however, the expertise can easily be refocussed on password cracking of encryption.

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This chart shows where robots are going to replace humans on Wall Street

This chart shows where robots are going to replace humans on Wall Street | WHY IT MATTERS: Digital Transformation | Scoop.it

The robots are coming for Wall Street's jobs, and McKinsey & Co has an idea of exactly what jobs they are coming for.

  • Automated technologies could have a big impact on 60% of Wall Street jobs, according to a new report by McKinsey, the consulting firm.
  • Integration of new technology doesn't guarantee big revenue spikes, but it is necessary to keep firms afloat in the digital age. Some big firms are already taking action.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

AI will impact the jobs market in all industries, including banking, Finance, legal, and accounting. As highlighted here, it may help focus humans on higher value activities but may - will? - also lead to job cuts. High paying job cuts. Watch out for possible human anger against the machines in the coming years.

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Bank of America Merrill Lynch has become the latest bank to implement #AI

Bank of America Merrill Lynch has become the latest bank to implement #AI | WHY IT MATTERS: Digital Transformation | Scoop.it

HighRadius' solution uses AI, machine learning, and optical character recognition to identify a payer, match them to an uncontextualized payment, and match that to an open receivable. Moreover, it gives companies the option of sending an automatic prompt to customers whose debts are outstanding. By leveraging this solution, BAML aims to reduce costs for its large business clients.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

AI is moving into back office operations in a big way, replace "traditional" human activities, reducing costs and improving performance. AI is being applied to receivables, credit scoring, customer service, compliance, trading and many other activities.

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Microsoft's voice-recognition tech is now better than teams of humans at transcribing conversations

Microsoft's voice-recognition tech is now better than teams of humans at transcribing conversations | WHY IT MATTERS: Digital Transformation | Scoop.it

In October 2016, in a big milestone for artificial intelligence, Microsoft unveiled a system that can transcribe the contents of a phone call as well or better than human professionals.

But while Microsoft's system had fewer transcription errors than the average human transcriptionist, it still couldn't best a team of trained humans. So, the world of academia fired back with a new challenge: Lower the error rate to below what human teams can do. 

Now Microsoft has done just that.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Speech recognition is most important for business tasks and new computer interfaces that are small and pervasive (cannot fit a keyboard and mouse on a watch). This new research shows that it is possible to get 5.1% error rates on transcribing phone conversations. This is great but not yet error-free : expect more research to improve this extremely fast though..

This ushers in an era where your cell phone will record everything you say in a meeting - or elsewhere - and transcribe it for you to search the text for reference or recall the actual audio to show proof. Imagine how useful that can be when listening to a conference or class and take notes for you!

Direct links to the Microsoft blog post and report are here:

blog: https://www.microsoft.com/en-us/research/blog/microsoft-researchers-achieve-new-conversational-speech-recognition-milestone/ 

report: https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/ms_swbd17-2.pdf 

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AI Creates Fake Obama via @gnat @ieee

AI Creates Fake Obama via @gnat @ieee | WHY IT MATTERS: Digital Transformation | Scoop.it
In the new study, the neural net learned what mouth shapes were linked to various sounds. The researchers took audio clips and dubbed them over the original sound files of a video. They next took mouth shapes that matched the new audio clips and grafted and blended them onto the video. Essentially, the researchers synthesized videos where Obama lip-synched words he said up to decades beforehand.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

Fake news is difficult to debunk because we are trained to believe what we read has been vetted and checked for validity. Images and videos are even worse because, until now, it was difficult to alter them in any meaningful way. Technologies like this may change that forever. Watch out for elections 202 in the USA.

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The Human Army Using Phones to Teach AI to Drive #amazing #video via @wired

The Human Army Using Phones to Teach AI to Drive #amazing #video via @wired | WHY IT MATTERS: Digital Transformation | Scoop.it
Relying on an army of amateurs might seem odd, but it remains the most efficient way of training AI. “It’s pretty much the only way,” says Premkumar Natarajan, who specializes in computer vision at the USC Information Sciences Institute.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

AI has huge potential but it appears that for now humans must teach machines. This article and the attached video both show what it takes to crowdsource that learning from thousand of individuals and their computer. Basically using the most basic human functions - vision and object recognition - to tell computers what they should see on an image.

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Amazon Alexa has 15,000 Skills and it is growing fast- when will it become #selfAware? #scary?

Amazon Alexa has 15,000 Skills and it is growing fast- when will it become #selfAware? #scary? | WHY IT MATTERS: Digital Transformation | Scoop.it

Developers have built more than 15,000 skills with the Alexa Skills Kit. Explore the stories behind some of these innovations, then start building your own skill. If you’re serious about getting into building voice UIs, we’d like to help you explore. 

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Alexa is a nice little gadget that uses artificial intelligence to understand language and answer questions. It has a vocabulary and skills but what may set it apart is the ability for anybody to develop new skills for the device. Any developer can add features to the devices which means that it may learn at an exponential rate. 15000 skills today is impressive but not yet amazing - although most skills are gadget. But think back to the iPhone 10 years ago and its few apps. Now consider the millions of apps on the Apple store today and you may also agree with me that this is important...

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Can We Copy the Brain? a #series of technical papers on the subject via @ieeespectrum

Can We Copy the Brain? a #series of technical papers on the subject via @ieeespectrum | WHY IT MATTERS: Digital Transformation | Scoop.it

Intensive efforts to re-create human cognition will transform the way we work, learn, and play

Farid Mheir's insight:

WHY THIS IS IMPORTANT

We often hear of AI and machine learning using neural networks and deep learning algorithms. In parallel, there are many other efforts being deployed to understand the brain to try and mimic it. This is a series of articles in IEEE Spectrum that provide just the right level of technical insights to help you understand where we stand on the matter. Many hours of interesting reading ahead!

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In the AI Age, “Being Smart” Will Mean Something Completely Different

In the AI Age, “Being Smart” Will Mean Something Completely Different | WHY IT MATTERS: Digital Transformation | Scoop.it
AI will change that because there is no way any human being can outsmart, for example, IBM’s Watson, at least without augmentation. Smart machines can process, store, and recall information faster and better than we humans. Additionally, AI can pattern-match faster and produce a wider array of alternatives than we can. AI can even learn faster. In an age of smart machines, our old definition of what makes a person smart doesn’t make sense.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

We must change the way we are and behave in the age of machine intelligence and this article provides great insights.

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Facebook's AI accidentally created its own language & learned to negotiate in #chatbots

Facebook's AI accidentally created its own language & learned to negotiate in #chatbots | WHY IT MATTERS: Digital Transformation | Scoop.it

Researchers from the Facebook Artificial Intelligence Research lab (FAIR) recently made an unexpected discovery while trying to improve chatbots. The bots — known as “dialog agents” — were creating their own language — well, kinda. Using machine learning algorithms, dialog agents were left to converse freely in an attempt to strengthen their conversational skills.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Humans may not be so smart after all if it takes a few simple neural nets to start to create new languages and communicate. The article is just a teaser, if you want to know more you have to go the the Facebook research group blog to read the full thing.

https://research.fb.com/category/facebook-ai-research-fair/

https://code.facebook.com/posts/1686672014972296/deal-or-no-deal-training-ai-bots-to-negotiate/

https://code.facebook.com/posts/266433647155520/parlai-a-new-software-platform-for-dialog-research/

 

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Why AI Works – Artificial Understanding

Why AI Works – Artificial Understanding | WHY IT MATTERS: Digital Transformation | Scoop.it
Intelligence = Understanding + Reasoning
In his book “Thinking Fast and Slow”, Daniel Kahneman discusses the idea that human minds use two different and complementary processes, two different modes of thinking, which we call Understanding and Reasoning. The idea has been discussed for decades and has been verified using psychological studies and by neuroscience.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

This article explains key fundamental concepts about intelligence and provides real-world examples in the context of self-driving cars.

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Investment firm ARK focus on digital disruption to invest - their 7 Big Ideas for 2017 provides great insight

Investment firm ARK focus on digital disruption to invest - their 7 Big Ideas for 2017 provides great insight | WHY IT MATTERS: Digital Transformation | Scoop.it
ARK Invest aims to identify large-scale investment opportunities resulting from technological change. We believe innovation is key to growth. From a broad spectrum of disruptive innovations, Big Ideas represents our annual breakout of technologies that we believe will accelerate significantly in the months ahead.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

Investment firms tend to be very traditional in their approach. This one appears to be embracing the digital transformation and making very insightful research that - from what they claim - guides their investments. Great idea. Now we'll see if their assumptions prove right and generate more returns than other investment guidance. I have a feeling it will.

 

Topics covered: 3D printing, additive manufacturing, artificial intelligence, automation, autonomous taxis, autonomous vehicles, bitcoin, blockchain, CRISPR, cryptocurrency, deep learning, dna sequencing, fintech, genomics, machine learning, mobile, robotics, shared autonomous vehicles

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Google advances #AI with ‘one model to learn them all’

Google advances #AI with ‘one model to learn them all’ | WHY IT MATTERS: Digital Transformation | Scoop.it
Google quietly released an academic paper that could provide a blueprint for the future of machine learning. Called “One Model to Learn Them All,” it lays out a template for how to create a single machine learning model that can address multiple tasks well.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

The research paper last sentence may be the most important. IT states: "...our model shows transfer learning from
tasks with a large amount of available data to ones where the data is limited". Much like with humans where people with more knowledge and general culture often are able to apply knowledge form one area to another. This appears fundamental in getting better AI solutions.

Moreover the paper shows how complex neural networks have become and we can expect even more complexity in the future. Direct link to the research paper: https://arxiv.org/pdf/1706.05137.pdf 

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TechnoVision highlights 37 technologies that disrupt via @Capgemini

TechnoVision highlights 37 technologies that disrupt via @Capgemini | WHY IT MATTERS: Digital Transformation | Scoop.it

Capgemini’s 2017 Edition of TechnoVision presents 37 compelling technology trend building blocks of inspiring, challenging, and disruptive perspectives.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

I appreciate the thought leadership of Capgemini around digital disruption and find this year they have tapped into an important concept: the parallel digital universe. Can't wait to dive into the different papers in this report.

Moreover, the concept of having digital twins is one that I have written about in the past as well: http://fmcs.digital/blog/digital-twin/ 

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Cybersecurity’s Next Frontier: 80+ Companies Using Artificial Intelligence To Secure The Future In One Infographic

Cybersecurity’s Next Frontier: 80+ Companies Using Artificial Intelligence To Secure The Future In One Infographic | WHY IT MATTERS: Digital Transformation | Scoop.it

80 private companies in cybersecurity that are using AI and categorized them into 9 areas of operation.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

AI is infiltrating all industries and domains. Security is one of the fields where AI may provide the most value because protection relies so much on flexible solutions that can adapt - which is where AI is most useful.

solidspug's comment, June 14, 2017 4:40 AM
nice
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