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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Hardware failure is a critical component of #digitalTransformation. Case in point: McDonalds outdoor Drive Thru menu board failures shows how difficult it can be to replace good old paper cardboard...

Hardware failure is a critical component of #digitalTransformation. Case in point: McDonalds outdoor Drive Thru menu board failures shows how difficult it can be to replace good old paper cardboard... | WHY IT MATTERS: Digital Transformation | Scoop.it

McDonald’s Drive-Thrus are a baseline for the entire industry and seeing them install LCDs that basically blow up and fail totally is something everyone wants to understand.

Farid Mheir's insight:

WHY IT MATTERS: found this example of displays that fail at McDonalds drive-thrus. It highlights the fact that digital transformation often means deploying new hardware in places where there not in the past. And that creates a huge number of issues in terms of design, maintenance, operations, etc. Very often not a big deal is planned but very much a big deal if not accounted for in the beginning. So think about cooling, electricity availability, repairs, software version updates, security, content upload, etc.

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Triangulation fraud: what is it, why is it bad, and what to do about it - confessions from Nina Kollars at #defCon is a great explanation of the fraud that plagues eCommerce retailers HT @nianasavage

In 2018 I somewhat innocently bought very expensive coffee (Nespresso capsules) online from Ebay. What followed was a series of unexpected additional packages from the manufacturer Nespresso and a lurking suspicion that something had gone terribly--if not criminally--wrong as a result of my purchase. This talk chronicles the obnoxious amounts of obsessive research and tracking that became my new hobby--stalking Nespresso fraudsters and my decidedly non-technical attempts at developing a generic search profile and reporting the fraudsters to anyone who would listen, to include : the persons whose identities had been stolen, Nespresso, Ebay, and the FBI. Ultimately I just ended up with a LOT of coffee; a lingering sense that I had committed several crimes; and no faith left in humanity.

Farid Mheir's insight:

WHY IT MATTERS: a short and entertaining video on triangulation fraud in eCommerce websites. If you buy online listen to this. If you sell online, this is the kind of crap you have to deal with.

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Facial Recognition Is Already Here: These Are The 30+ US Companies Testing The Technology via @CBInsights

Facial Recognition Is Already Here: These Are The 30+ US Companies Testing The Technology via @CBInsights | WHY IT MATTERS: Digital Transformation | Scoop.it

US corporates are currently using facial recognition for everything from fast food orders to trying on makeup to issuing life insurance policies, and more.

Farid Mheir's insight:

WHY IT MATTER: facial recognition used to be a very difficult thing to do but AI and machine learning specifically has blown this out the water opening the way for a slew of real world useful applications. 

The Media Lab's curator insight, June 12, 2019 8:48 AM
A great concept!
ECMFAD's curator insight, June 13, 2019 1:24 PM
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Kleiner Perkins’ Mary Meeker Internet Trends at Code 2018 #mustRead #weekendRead #video #AI #eCommerce

Kleiner Perkins’ Mary Meeker Internet Trends at Code 2018 #mustRead #weekendRead #video #AI #eCommerce | WHY IT MATTERS: Digital Transformation | Scoop.it

"When you have rising monetization, rising growth and rising data collection, it drives a lot of regulatory scrutiny whether it’s related to data privacy, competition or safety in content."

Farid Mheir's insight:

WHY IT MATTERS: this is the annual presentation to level-set everyone on the Internet, mobile, ecommerce, cybersecurity, epayment, personalization, etc. She covers everything and shows that digital transformation is in full swing. Just WOW. Again.

Martin (Marty) Smith's curator insight, December 19, 2018 8:15 AM

Meeker is as close to Nostradamus as we are likely to get. 

thomas william's curator insight, March 17, 2:39 AM
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45 Billion Cameras by 2022 Fuel Business Opportunities for better and for worse #security #privacy #AI #robots

45 Billion Cameras by 2022 Fuel Business Opportunities for better and for worse #security #privacy #AI #robots | WHY IT MATTERS: Digital Transformation | Scoop.it

Exclusive research by us at LDV Capital is the first publicly shared, in-depth analysis which estimates how many cameras will be in the world in 2022. Key Findings include:

  • Most of the pictures captured will never be seen by a human eye.
  • A paradigm shift will take place in the meaning and use of a camera.
  • Over the next five years there will be a proliferation of cameras integrated into products across industries and markets.
  • Where there is growth in cameras there will be tremendous business opportunities in the capture, analysis and interpretation of visual data.
  • Depth capture will double the number of cameras in handheld cameras.
  • By 2022, the number of cameras will be nearly 12X the 2012 figures.
  • Your smartphone will have between 4 and 10 cameras by 2022.
  • The Internet of Eyes will be larger than the Internet of Things.
  • In the next five years, robotics will have 20X more integrated cameras.
  • By 2022, all new vehicles will be equipped with more than 25 cameras and this does not include Lidar or Radar.
Farid Mheir's insight:

WHY IT MATTERS: cameras will become ubiquitous and AI systems will analyze those images to provide business services but also track our every move. This reports presents trends in this area.

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Floodwatch browser extension #crowdsource #ads you see to build massive DB of what advertizers know about you2

Floodwatch browser extension #crowdsource #ads you see to build massive DB of what advertizers know about you2 | WHY IT MATTERS: Digital Transformation | Scoop.it

Floodwatch is a Chrome extension that tracks the ads you see as you browse the internet. It offers tools to help you understand both the volume and the types of ads you’re being served during the course of normal browsing, with the goal of increasing awareness of how advertisers track your browsing behavior, build their version of your online identity, and target their ads to you as an individual. We want to assemble the largest amount of advertising data we can— and then not give it to the advertisers.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Knowing what information is captured about you, stored and the digital profiles that is created behind the scenes as you browse the web is a first step in regaining control over our digital twin so we can have better digital lives.

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Email Attack on Vendor Set Up Breach at Target

Email Attack on Vendor Set Up Breach at Target | WHY IT MATTERS: Digital Transformation | Scoop.it

The breach at Target Corp. that exposed credit card and personal data on more than 110 million consumers appears to have begun with a malware-laced email phishing attack sent to employees at an HVAC firm that did business with the nationwide retailer, according to sources close to the investigation.


Last week, KrebsOnSecurity reported that investigators believe the source of the Target intrusion traces back to network credentials that Target had issued to Fazio Mechanical, a heating, air conditioning and refrigeration firm in Sharpsburg, Pa.

Farid Mheir's insight:

A great analysis of the Target breach and how it happened.


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Google analytics for real world - Euclid taps smartphone Wi-Fi for in-store retail analytics via @ventureBeat

Google analytics for real world - Euclid taps smartphone Wi-Fi for in-store retail analytics via @ventureBeat | WHY IT MATTERS: Digital Transformation | Scoop.it
Euclid furthers its quest to become the Google Analytics for the real world.


Euclid collects aggregated data on shoppers, including their visit duration and engagement rate, and presents it in an online dashboard for retailers. The company’s technology can grab information about a shopper even if they never connect to an in-store Wi-Fi network. Just like online metrics, Euclid’s data could help store owners learn useful details about their customers. For example, it could let a retailer know if something about their store is causing a significant amount of customers to leave quickly.

Like most companies that collect consumer data, Euclid claims all of its data is grabbed anonymously, and consumers can opt out as well.

Farid Mheir's insight:

This is related to a recent post on trash can that track users using their mobile wifi, a solution that is also being deployed in stores to detect and track shoppers and their behaviour.


Great thing here (as in the post on security cameras doing face detection), the solution leverages existing WIFI access point equipment in the stores. It simply analyzes the data in a new way. Low cost, easy to deploy.

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Security cameras face recognition tracks visitors to report realtime in-store shopper behaviour via @3VR @NRF

Security cameras face recognition tracks visitors to report realtime in-store shopper behaviour via @3VR @NRF | WHY IT MATTERS: Digital Transformation | Scoop.it
Learn how retail video analytics can help transform your brick-and-mortar store into The Intelligent Store. Now
Farid Mheir's insight:

If you have an operate stores, knowing more about your customer behaviour is possible. Video and image recognition is now so advanced that retailers may soon use their old video cameras to not only record store videos for security purposes but also use them for shopper behaviour analytics.

At NRF conference in NYC this year, the company 3VR that specializes in video security equipments is demoing a system that analyzes video feeds in real-time to recognize the gender of its shoppers  and report in real-time on such things as

  • shopper interest on certain product displays
  • cash register queue line length average, per time of day
  • even individual shopper card, with picture
  • mood analysis to determine shopper intent to buy


The same system can of course be leveraged for security purposes, often its original purpose
  • loss prevention
  • theft detection
  • security recording
Retailers with multiple stores or multiple brands could even analyze the feeds across stores to determine individual shopper behaviour. Linked to CRM systems, this can prove very powerful, building shopping profiles of individual customers. Of course will raise privacy concerns.
At the same time, this is exactly the type of information that online retailers have access to and leverage to segment and profile their customers on their website and between different websites.
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What You Can Learn About Online Shoppers by Watching Them- and prevent fraud

What You Can Learn About Online Shoppers by Watching Them- and prevent fraud | WHY IT MATTERS: Digital Transformation | Scoop.it

Findings from two companies that apply science to try to decrease online shopping fraud and increase sales.

This morning, I covered the launch of Sift Science, a brainy startup from ex-Googlers that’s applying machine learning to detect fraud patterns in online retail.

Sift Science co-founder Brandon Ballinger told me that during beta testing with services like Airbnb and Uber, his company had observed a million different signals that flag any one buyer as a potential fraudster.

For instance, beware of people who try to buy something with a Yahoo email account — they’re twice as likely as the norm to be fraudsters — but users of AOL and Outlook.com email domains are much more likely to be safe.

Farid Mheir's insight:

siftScience service leverages multiple websites data to find patterns of fraudulent behaviour. An optimized version of a process that was once done offline and with much less information.

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