WHY IT MATTERS: Digital Transformation
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WHY IT MATTERS: Digital Transformation
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Curated by Farid Mheir
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Strava 170M rides&runs #Heatmap shows most popular #bike & #run trails of 2015 with #BigData #GPS #crowdsourcing

Strava 170M rides&runs #Heatmap shows most popular #bike & #run trails of 2015 with #BigData #GPS #crowdsourcing | WHY IT MATTERS: Digital Transformation | Scoop.it
100 million rides and runs, 220 billion data points visualizing the best roads and trails worldwide.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

Big brother is watching and when it does you can gain tremendous insights into the behaviour of humans. I zoomed in on Montreal and the diagram is very clear about which run trails are most popular on the Mount Royal. On the dark side, of course, this means Strava performs some high level surveillance on us as we share our bike and run rides with their software.

Eric Hunter's curator insight, March 27, 2017 11:43 AM
Taking this beyond just being really cool, into value creating is the next challenge. Great #dataviz work!
 
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#analytics: Competing in a data-driven world difficult because of lack of talent & data silos via @McKinsey 

#analytics: Competing in a data-driven world difficult because of lack of talent & data silos via @McKinsey  | WHY IT MATTERS: Digital Transformation | Scoop.it
Big data’s potential just keeps growing. Taking full advantage means companies must incorporate analytics into their strategic vision and use it to make better, faster decisions.
Farid Mheir's insight:

WHY THIS IS IMPORTANT

To unlock up to 50% of value in data analytics in major industries, businesses must invest in talent and break down data silos. HUGE job IMHO...

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Twitter can tell which states love jogging & which are eating hot dogs 

Twitter can tell which states love jogging & which are eating hot dogs  | WHY IT MATTERS: Digital Transformation | Scoop.it

With the explosive growth of online activity and social media around the world, the massive amount of real-time data created directly by populations of interest has become an increasingly attractive and fruitful source for analysis. Despite the limitation that social media users in the United States are not a random sample of the US population [7], there is a wealth of information in these data sets and uneven sampling can often be accommodated.

Indeed, online activity is now considered by many to be a promising data source for detecting health conditions [8, 9] and gathering public health information [10, 11], and within the last decade, researchers have constructed a range of public-health instruments with varying degrees of success.

Fine-tuning these algorithms is key to improving large-scale analysis of social media, whether the goal is to measure the caloric content of a tweet or to find the next developing news story. These technologies represent new ways of finding and understanding the conversations we're having as a country -- chatter that is increasingly moving online.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

More insights on wellness and fitness from social media and big data. Here what is important to note is how we can extract knowledge from information that people share on social media. With more and more wearable devices and internet connected devices like refrigerators, cooktops, and water bottles, it is clear that more and more insight will be gathered from our digital exhaust.

 

More insights:

- more on the digital twin and digital exhaust: fmcs.digital/blog/digital-twin 

- the website with all the data: panometer.org/instruments/lexicocalorimeter 

- twitter can also help predict happiness: hedonometer.org/index.html 

- the research paper: arxiv.org/pdf/1507.05098.pdf 

- lapresse+ article (in french): plus.lapresse.ca/screens/d09ef280-9b06-4fe5-935c-4155336ef100%7C_0.html 

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Fitbit Activity Index & Fitbit Science are examples of #wearables #BigData insights 

Fitbit Activity  Index & Fitbit Science are examples of #wearables #BigData insights  | WHY IT MATTERS: Digital Transformation | Scoop.it

Explore the fitness and workout trends of Fitbit users, and get exercise advice from the experts in this comprehensive, interactive infographic. At Fitbit, we geek out about workouts. Feast your fitness-loving eyes on the first ever Fitbit Health & Activity Index that identifies some of the most popular activities, shifts in workout trends, and ways to stay motivated.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Wearing a device such as a fitbit does something way bigger than providing you with insights: it provides a HUGE trove of data to be mined for trends and insights. I wrote about the jawbone big data analysis in the past, but recently found that fitbit has started to provide a similar service, analyzing data its millions of devices capture every day.

 

More insights:

www.fitbit.com/fitscience

fmcs.digital/?s=jawbone 

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This YouTube #Dataset can be used to train #AI to recognize planes in a #video 

This YouTube #Dataset can be used to train #AI to recognize planes in a #video  | WHY IT MATTERS: Digital Transformation | Scoop.it

YouTube-BoundingBoxes is a large-scale data set of video URLs with densely-sampled high-quality single-object bounding box annotations.

The data set consists of approximately 380,000 15-20s video segments extracted from 240,000 different publicly visible YouTube videos, automatically selected to feature objects in natural settings without editing or post-processing, with a recording quality often akin to that of a hand-held cell phone camera.

All these video segments were human-annotated with high precision classifications and bounding boxes at 1 frame per second.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Training artificial intelligence systems using deep learning algorithms requires large datasets where the elements you want to recognize - cats, planes umbrellas - are already identified.

This dataset from YouTube contains 380000 videos with over 10.5M annotations to help train systems of the future. We have to remember that the more data is available for training the better the system will perform. Nevertheless, this is interesting as is shows a little bit of the behind the scene in AI and helps understand a bit more how good AI systems will be - or when they may fail.

Additional datasets are available from google here: https://research.google.com/research-outreach.html#/research-outreach/research-datasets 

Recently, Google announced an 8M YouTube video dataset to help spark research: https://research.google.com/youtube8m/ 

GROW.'s curator insight, March 6, 2017 6:28 AM

AI on plane recognition 

thomas william's curator insight, March 9, 12:45 AM
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Identity theft in top10 of American #fears via @qz

Identity theft in top10 of American #fears via @qz | WHY IT MATTERS: Digital Transformation | Scoop.it

Chapman University has conducted a Survey of American Fears for more than three years. It asks 1,500 adults what they fear most. It organizes the fears into categories that include personal fears, conspiracy theories, terrorism, natural disasters, paranormal fears, and more recently, fear of Muslims.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Expect to hear more about security threats and fears in the coming years. In the digital world, I suggest that there is a "hierarchy of digital needs" (see the pyramid of digital needs fmcs.digital/blog/pyramid-of-digital-needs/) and that if we do not feel secure in the digital world, we will not be able to leverage the different tools and solutions available to us. In fact, the research shows that our fears are exacerbated when we are not in control, which is the case for most people as they do not fully understand digital technologies (layer 1 in the pyramid) and do not feel secure (layer 2).

 

"...many things affect how we perceive risk:

  • do you trust the person you are dealing with
  • control vs. lack of control (lack of control inflates risk perceptions)
  • is it catastrophic or chronic (catastrophic inflates risk perceptions)
  • does it incite dread or anger (dread inflates risk perceptions)
  • uncertainty (lack of knowledge about something inflates risk perceptions)

“Most people do not distinguish well between a one-in-a-thousand risk and a one-in-a-million risk,” said Mark Egan, an associate advisor at the Behavioral Insights Group in London.

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The Power of Data As the Next Big Thing in Content Marketing @HBR 

The Power of Data As the Next Big Thing in Content Marketing @HBR  | WHY IT MATTERS: Digital Transformation | Scoop.it
The diminishing effectiveness of conventional advertising and the rise of social media have led more and more brands to embrace content marketing. More and more companies are seeing themselves not just as advertisers, but as publishers, launching digital newsrooms, podcasts, and other forms of branded content in order keep their brands, perspectives, and value propositions in front of customers.
Farid Mheir's insight:

I wrote about this in the past numerous times and it is great to see HBR and others recognize this important trend: companies are sitting on huge amounts of information they can use to extract meaningful information and share it with their clients and employees to attract and retain them.

 

For example, look at jawbone and how they do it

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Facebook can predict when you fall in love and when your relationship starts #scary #bigData @TheAtlantic 

Facebook can predict when you fall in love and when your relationship starts #scary #bigData @TheAtlantic  | WHY IT MATTERS: Digital Transformation | Scoop.it
“During the 100 days before the relationship starts, we observe a slow but steady increase in the number of timeline posts shared between the future couple.”
Farid Mheir's insight:

WHY THIS IS IMPORTANT

We are just starting to scratch the surface of what we can learn when we analyze the personal data from social media. When everything is connected with Internet of things products and when we measure everything we do using wearables and quantified-self technologies, the insights will be even greater. Companies should prepare to analyze this massive data rush and us all should start to think about our information privacy more carefully...

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Automation will replace jobs mostly in China and India according to @McKinsey

Automation will replace jobs mostly in China and India according to @McKinsey | WHY IT MATTERS: Digital Transformation | Scoop.it
Automation is happening, and it will bring substantial benefits to businesses and economies worldwide, but it won’t arrive overnight. A new McKinsey Global Institute report finds realizing automation’s full potential requires people and technology to work hand in hand.
Farid Mheir's insight:

Very useful stats and data.

CAYOL's curator insight, January 21, 2017 3:21 PM

Very useful stats and data.

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RAWGraphs an open source data visualization framework that complex data viz easy for everyone via @gnat 

RAWGraphs an open source data visualization framework that complex data viz easy for everyone via @gnat  | WHY IT MATTERS: Digital Transformation | Scoop.it

An open source data visualization framework built with the goal of making the visual representation of complex data easy for everyone.

Farid Mheir's insight:

Simple. Easy. Efficient. Wow.

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The Highest Paying Jobs in America Based On LinkedIn Salary Data

The Highest Paying Jobs in America Based On LinkedIn Salary Data | WHY IT MATTERS: Digital Transformation | Scoop.it

The diagnosis is in: healthcare careers top the list of jobs with the highest base salary in the U.S., according to LinkedIn Salary.

Farid Mheir's insight:

It is good to be a medical professional in the US!

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How Does CB Insights Get Its Private Company Financing & Exit Data? Unveiling The Cruncher

How Does CB Insights Get Its Private Company Financing & Exit Data? Unveiling The Cruncher | WHY IT MATTERS: Digital Transformation | Scoop.it

The post is structured as follows:
How we collect our data
Why this data collection process versus others
What are our data sources?

 

Walking through the technology and process
Step 1 – The Life Event Classifier
Step 2 – Entity Recognition Engine
Step 3 – Relationship Extractor
Step 4 – The Clustering Engine
Step 5 – The Cruncher Admin

Farid Mheir's insight:

A very interesting explanation of the process that CBinsight uses to search, compile and structure the information on startups that it tracks. The paper is already 3 years old so I expect that reliance on manual work is less and AI automation is leveraged more today. Nonetheless a good read.

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How #Palantir could help power #Trump's #extremeVetting of immigrants & what US gov knows about you 

How #Palantir could help power #Trump's #extremeVetting of immigrants & what US gov knows about you  | WHY IT MATTERS: Digital Transformation | Scoop.it
Training materials obtained by the Electronic Privacy Information Center show Palantir plays a role in a far-reaching customs system
Farid Mheir's insight:

Just follow the link to the 2012 report and find out what it means to cross reference different digital databases.

 

WHY THIS IS IMPORTANT

Our lives are digital and we leave digital exhaust behind us everywhere we go. This paper shows what the US government uses to put together a composite picture of your digital twin. For now, they plan to use this for border crossing but in the future - 10 or 20 years down the road - what will this info be used for? Also, knowing that military and very advanced technology always makes it into the corporate world, how will this be used by corporations? 

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Moving large #datasets - Exabyte-Scale - to #AWS requires physical trucks & hard drives

Moving large #datasets - Exabyte-Scale - to #AWS requires physical trucks & hard drives | WHY IT MATTERS: Digital Transformation | Scoop.it

AWS Snowmobile is an exabyte-scale data transfer service used to move extremely large amounts of data to AWS. You can transfer up to 100PB per Snowmobile, a 45-foot long ruggedized shipping container, pulled by a semi-trailer truck. Snowmobile makes it easy to move massive volumes of data to the cloud, including video libraries, image repositories, or even a complete data center migration. Transferring data with Snowmobile is secure, fast and cost effective.

Farid Mheir's insight:

Moving large amounts of data to the cloud - petabytes and exabytes - would take years to do if transferred using networks and the Internet. Amazon provides its customers with dedicated and secure hard drives - they call snowballs - and truck - they call snowmobiles - to move the data from one data center to the next.

 

WHY THIS IS IMPORTANT

There are limits to our network infrastructures and physical solutions often are required to migrate data to the cloud or digitize products. For example scanning paper files or converting books to digital ones often require specialized equipments in order to perform the work rapidly and cost effectively. Google had patented a book scanning equipment in order to create its Google books project in the past. I assume this same kind of innovation will start to happen in other fields as well.

http://www.theverge.com/2012/11/13/3639016/google-books-scanner-vacuum-diy 

https://books.google.com/googlebooks/about/ 

 

More on this here: http://uk.businessinsider.com/amazon-snowmobile-truck-is-a-funny-for-real-product-2016-11 

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2016 pre- #Thanksgiving #retail survey shows #omnichannel #webrooming #showrooming always must-haves v @Deloitte

2016 pre- #Thanksgiving #retail survey shows #omnichannel #webrooming #showrooming always must-haves v @Deloitte | WHY IT MATTERS: Digital Transformation | Scoop.it

Explore consumer attitudes and trends about Black Friday retail this year in our latest report. Our pre-Thanksgiving survey polled more than 1,200 consumers across the United States to get a pulse check on their shopping strategy for the long Thanksgiving weekend that includes Black Friday and Cyber Monday. This year 76 percent of holiday shoppers plan to shop over the long weekend, spending an average of $400—that is $31 more than last year.

Farid Mheir's insight:

Deloitte survey on Thanksgiving weekend forecast.

 

WHY THIS IS IMPORTANT

Always interesting to look at the forecast then compare with actual numbers. In the past, the pattern was clear: people move their holiday shopping online. What is also interesting is in the chart above about webrooming and showrooming: physical stores continue to play a big role and that is why omni-channel technologies are more important than never.

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Chart shows jobs most likely to be done by robots in the future & what to do about it

Chart shows jobs most likely to be done by robots in the future & what to do about it | WHY IT MATTERS: Digital Transformation | Scoop.it

Mckinsey ran a comprehensive study of nearly 800 different jobs in the United States, ranging from CEOs to fast food workers. Between these roles, they found 2,000 individual work activities, and assessed them against 18 different capabilities that could potentially be automated. In their analysis, they found that 45% of work activities representing $2 trillion in wages can already by automated based on proven technology that currently exists. A further 13% of work activities in the U.S. economy could be automated if the technologies used to understand and process human language were brought up to the median human level of competence.

Farid Mheir's insight:

An interactive chart that graphs 800 different jobs along with their automation potential - as estimated by McKinsey.

 

WHY THIS IS IMPORTANT

If you are in school or just out of school, this chart should be of particular interest. For all the others, this is essential must read tooling when preparing strategy and planning for the future of your business unit, organization - large or startup.

 

Jobs with highest potential for automation represent opportunities for cost reduction, process improvements to reduce lead times, or creation of the automated tools and software that will replace them. For example:

  • medical appliance technicians: 100% automation potential. If you are in this field your business plan should include major shift from human workers to robots. If employees are unionized, look at contract negotiation and employee retraining. If you build medical appliance, ensure your hard-software appliance includes the necessary components to make this automation simple and effective.
  • sewing machine operators: 100% automation potential, 143K workers in the US. Replacing human by robot sewing machine is efficient but will require capital expenditures: has it been forecasted in your budgets? If that throws your business model out of whack, you have to think like a startup and "pivot" your company to a different yet adjacent space such as custom apparel design and fabrication.

And 798 other sources of inspiration. 

Abel Linares's curator insight, July 30, 2016 1:08 PM
Potencial amortización #digital del #trabajo según Mckinsey.
Gráfico interactivo que analizar 800 trabajos diferentes.

Concluye que con la tecnología actual el 45% del trabajo se puede automatizar, un 13% adicional cuando las máquinas entiendan el lenguaje humano a un nivel de ciudadano medio.

 Las previsiones son instalar 1.3 millones de robots entre 2015 y 2018
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The Internet of Everything: a review of trends, stats and forecast on #IoT

The Internet of Everything: a review of trends, stats and forecast on #IoT | WHY IT MATTERS: Digital Transformation | Scoop.it

BI Intelligence analyses how the growth of internet-connected devices, particularly the Internet of Things, will revolutionize our lives. 

The Internet of Everything

By 2020, more than 34 billion internet-connected devices will be installed globally — that's more than 4 devices for every human on earth.

BI Intelligence has developed a slide deck analyzing the growth of internet-connected devices — particularly the Internet of Things (IoT).

Farid Mheir's insight:

A 60 slide powerpoint presentation on Internet of Things, its current and future usage and penetration, possible uses, etc.

 

WHY THIS IS IMPORTANT

IoT is a major trend which should impact all businesses in the near future. This is a well researched document that provides very useful charts for anyone putting together strategic plans and roadmaps. It covers a wide variety of industries and applications, which shows how wide and deep the IoT revolution could be. Must read.

Abel Linares's curator insight, April 6, 2020 7:33 AM

BI Intelligence analyses how the growth of internet-connected devices, particularly the Internet of Things, will revolutionize our lives. The Internet of Everything By 2020, more than 34 billion internet-
connected devices will be installed
globally — that's more than 4 devices for every human on ...
#IoT #DigitalTransformation #Technology #Trends #Investment #Industry4.0

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More people work on Internet publishing than in newspaper

More people work on Internet publishing than in newspaper | WHY IT MATTERS: Digital Transformation | Scoop.it
Few industries have been affected by the digital or information age as much as newspapers and other traditional publishing industries (books, magazines, etc.). In June 1990, there were nearly 458,000 people employed in the newspaper publishing industry; by March 2016, that figure had fallen to about 183,000, a decline of almost 60 percent. Over the same period, employment in Internet publishing and broadcasting rose from about 30,000 to nearly 198,000.
Farid Mheir's insight:

US bureau of labour statistics releases historical data that shows the decline of the newspaper industry in favour of the internet publishing.

 

WHY THIS IS IMPORTANT

Less dramatic than previous charts that show the digital cliff that newspaper advertisement business fell in recently, this chart highlights the decline of physical delivery of news in favour of the digital delivery. Right inline with a post I wrote regarding the Digital Cliff in various posts http://bit.ly/1g5adjK (in french), http://sco.lt/5nD06r , http://sco.lt/6gOeWn , http://sco.lt/5Hfzlp 

 

Moreover, the bureau of labour statistics presents a large number of data and charts to help document the digital transformation. See http://www.bls.gov/opub/ted/subject.htm 

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In 5 years, the average American will use 22GB of mobile data per month, report says

In 5 years, the average American will use 22GB of mobile data per month, report says | WHY IT MATTERS: Digital Transformation | Scoop.it
In 5 years, we'll be using a lot more mobile data than we do now.
Farid Mheir's insight:

Just one example of the huge rise in mobile phones. Given recent State of the Internet report that indicates Internet growth is slowing down, and that mobile phone sales have levelled off as well, this chart reminds us all that people are starting to use their phones in many different context. So even if growth stalls, the usage and data consumption will continue to grow for a while.

 

WHY THIS IS IMPORTANT

If you propose interesting uses for mobile phones, your clients and employees will use them. And they expect to use more and more in the future. So waht have you planned in your digital strategy to leverage, extend, grow the usage of mobile phones for clients and employees?

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The foundations of Data Science: example of new book publishing using GitBook

The foundations of Data Science: example of new book publishing using GitBook | WHY IT MATTERS: Digital Transformation | Scoop.it
The Foundations of Data Science
Farid Mheir's insight:

I found this book reference on GitBook. It is the textbook for the class at UC Berkeley and provides not only great content for anyone interested in Data Science (visualization, prediction, etc.) but also for anyone interested in self publication. 

 

GitBook is similar to GitHub, the open source software code repository that pretty much everyone in the industry is using. It provides not only the technology to create and publish a book online or as an ebook but also the social network and collaboration features you'd expect in today's world. Book content can be consolidated from multiple authors, versioned and commented by a network of colleagues or clients.

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US eCommerce Growth and Retail Sales Growth By Category

US eCommerce Growth and Retail Sales Growth By Category | WHY IT MATTERS: Digital Transformation | Scoop.it
US eCommerce grows around 15% in '15Q1 and penetration% goes up to 8.6% (Note: total retail sales excludes Auto/Gas in my calculation). In Q4 pen% is likely to be up to 10%. Non adjusted US retail
Farid Mheir's insight:

Useful data and insights from the US census survey. Essential for anyone thinking of going into eCommerce, the data shows the steady growth of eCommerce but its different penetration by category. For additional information on apparel retail, see also http://www.marketresearchworld.net/content/view/4681/48/ 

The link to the US census data will provide you with the actual numbers in excel format. 

http://www.census.gov/retail/index.html

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How to find out everything Google knows about you

How to find out everything Google knows about you | WHY IT MATTERS: Digital Transformation | Scoop.it
Here's how to find out what Google knows about you and is sharing with advertisers, and how to get Google to stop.
Farid Mheir's insight:

This is a very good run down of what you'll find out when you go to google history or google dashboard to find out what Google knows about you.

history.google.com/history

https://www.google.com/settings/dashboard 

 

That being said, and as i've noted before, this is not everything they know about you: Google infers a lot from your web activity outside the realm of google properties via the ad beacons they place all over the web. Moreover, Google predicts and creates a user profile of you - and this information they do not share with you!

 

Also see other article abour this same topic:

how google mines your data: http://sco.lt/6nPe2z

15 ways google mines your data: http://sco.lt/5mlk5B 

voting is obsolete: http://sco.lt/5GmLVh 

or anything about privacy: http://www.scoop.it/t/digital-transformation-of-businesses/?tag=Privacy 

SensorsTechForum's curator insight, May 18, 2016 9:54 AM
You can actually find out what Google knows about you and delete that info!
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This is the difference between statistics and data science

This is the difference between statistics and data science | WHY IT MATTERS: Digital Transformation | Scoop.it
After navigating a few winding hallways at Uber HQ to find a tucked away conference room, I’m chatting with Andrew Chen about one of hi
Farid Mheir's insight:

Every company needs a data science team with sole purpose is to explore company data to extract value.

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#Essential Insights To Prepare a Corporate Data Strategy via @capgemini

The customer journey could essentially be divided into 7 elements. We’ll touch upon the issue of ‘Privacy’ and how one balance social and commercial value. P…
Farid Mheir's insight:

A presentation of case studies in data analysis for Marketing, it also presents some very useful enterprise data science insights that can be leveraged when preparing a corporate data strategy. Also presents some interesting data points and use case priorization.


WHY THIS IS IMPORTANT

All corporations dream of leveraging data in real-time but the reality of legacy computer systems, lack of expertise with new tools and technologies, and a considerable amount of hype very often makes data strategies overblown and unrealistic. At this point in time it appears that the best course of action is to capture a target vision and identify numerous small initiatives to get your feet wet and run up the maturity scale. Stay away from large all-encompassing plans that require boiling the ocean (of data)!

Zac Ong's curator insight, November 17, 2015 8:53 PM

A presentation of case studies in data analysis for Marketing, it also presents some very useful enterprise data science insights that can be leveraged when preparing a corporate data strategy. Also presents some interesting data points and use case priorization.


WHY THIS IS IMPORTANT

All corporations dream of leveraging data in real-time but the reality of legacy computer systems, lack of expertise with new tools and technologies, and a considerable amount of hype very often makes data strategies overblown and unrealistic. At this point in time it appears that the best course of action is to capture a target vision and identify numerous small initiatives to get your feet wet and run up the maturity scale. Stay away from large all-encompassing plans that require boiling the ocean (of data)!

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2015 Data Science Salary Survey by @oreilly

2015 Data Science Salary Survey by @oreilly | WHY IT MATTERS: Digital Transformation | Scoop.it
Key findings include:

  1. The same four tools—SQL, Excel, R, and Python—remain at the top for the third year in a row
  2. Spark (and Scala) use has grown tremendously from last year, and their users tend to earn more
  3. Using last year’s data for comparison, R is now used by more data professionals who otherwise tend to use commercial tools
  4. Inversely, R is no longer used as frequently by data practitioners who use other open source tools such as Python or Spark
  5. Salaries in the software industry are highest
  6. Even when all other variables are held equal, women are paid thousands less than their male counterparts
  7. Cloud computing (still) pays
  8. About 40% of variation in respondents’ salaries can be attributed to other pieces of data they provided
Farid Mheir's insight:

For my friends in the data science and business intelligence fields, here's great insight into what it will cost you to hire data experts in your organization. Expect to pay premium and to have a hard time finding talent as the data science skills are few and far between.

youngcelery's comment, November 6, 2015 11:17 PM
Its interesting
Farid Mheir's comment, November 7, 2015 9:23 AM
@youngcelery thank you!
Curated by Farid Mheir
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