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WHY IT MATTERS: Digital Transformation
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Curated by
Farid Mheir
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A new type of artificial eye, made by combining light-sensing electronics with a neural network on a single tiny chip, can make sense of what it’s seeing in just a few nanoseconds, far faster than existing image sensors.
Farid Mheir's insight:
WHY IT MATTERS: this is just cool to see that AI is starting to be embedded into silicon to deliver mind-blowing performance. 
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Facebook uses over 20,000 deep features to characterize each account, providing a snapshot of how each profile behaves to make it difficult for attackers to game the system by changing tactics.
Farid Mheir's insight:
WHY IT MATTERS: Facebook uses large datasets to identify fake accounts. This article explains how. Also - video of the conference presentation: https://atscaleconference.com/videos/fighting-abuse-scale-2019-deep-entity-classification-an-abusive-account-detection-framework/ - description of the process: https://www.eyerys.com/articles/how-deep-entity-classification-ai-helped-facebook-remove-billions-fake-accounts
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Engineering teams at Tesla, GM, Honda, and others are struggling to make self-driving cars work properly.
Farid Mheir's insight:
WHY IT MATTERS: a great review of autonomous car state of the art as well as some thoughts on what cities may look like when self-driving cars are among us. Spoiler: it will bee great but it will take time... ;-)
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It's like other Amazon Go stores, only bigger. But it's a meaningful difference. Interesting story on how a guy walked into an Amazon GO store and was able to steal things.
Farid Mheir's insight:
WHY IT MATTERS: since the launch of amazon GO convenience store in 2016, the concept of walk-in, grab stuff, leave, felt perfect for small orders (sandwich, drinks and cookies for lunch anyone). They just opened a grocery store now, which has the potential to disrupt the retail market more profoundly (Amazon bought WholeFood a while back). This article explains how the store works but also uncovers a flaw in the camera system: if you change your appearance during a visit the system can loose track of you. Interesting use case...
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Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is all about data and data analysis so no surprise that data analysis tools are exploding these days. The quadrant is interesting to ID the big players but jump to the end of the report for a market analysis that is worth the read.
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In our Strategic Apps group at Zapier, we've figured out a way to do standups in a timely manner, make them minimally disruptive, and not add a burden to anyone else. To cut to the chase, we delegated most of the work to a robot, and we do it all asynchronously.
Farid Mheir's insight:
WHY IT MATTERS: I like the use of technology when it can reduce tedious repetitive tasks. This is a great example. Agile team perform daily standup meetings which are supposed to be quick information sessions to keep everyone abreast of progress and reduce blindspots. They often turn out to be too long and unproductive when people don't follow rules. Zapier development team has leveraged a bot to perform that task and hopefully achieve same results without wasting people's time. I find it an interesting use of technology.
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The proliferation of chatbots in the modern workplace calls for IT leaders to create a conversational platform strategy that ensures an effective solution for employees, customers and key partners.
Farid Mheir's insight:
WHY IT MATTERS: chatbots were supposed to solve all customer service issues. That was 5 years ago. Today, we see them deployed with limited value on websites mostly as pre-screeners to qualify leads. As Gartner proposes here, maybe their use is better within organizations to help workers be more productive. Or maybe we're just creating a new "clippy" office assistant (Microsoft circa 1998 https://en.wikipedia.org/wiki/Office_Assistant)
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Archillect [archive + intellect] is an AI created to discover and share stimulating visual content over social media channels. She is a living inspiration archive. She is a digital muse.
Archillect is uncanny. Here's why.
Farid Mheir's insight:
WHY IT MATTERS: appreciation for things that are "beautiful" would have been impossible to code before neural nets, deep learning and other machine learning became available. But really, when you think of it, it is merely a copycat, using human feedback to determine what is nice and is not. Nevertheless, the result is stunning...
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Download this Report to learn about future applications for voice technology and how these are likely to have an impact both commercially and in the home.
Farid Mheir's insight:
WHY IT MATTERS: with majority of users using mobile phones to access the web, voice technology has to become one of the primary touchpoint in coming years. Yet I see very few of my client with a clear strategy to include voice in their digital transformation strategic plan...
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Building the infrastructure to manage the lifecycle of machine learning models remains a challenge for most organizations. While we have seen tremendous advancements in machine/deep learning…
Farid Mheir's insight:
WHY IT MATTERS: always good to know what others are doing. Here, LinkedIn use of AI. The post has interesting link to LI engineering blog, worth reading.
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Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data. Dataset Search also gives us a snapshot of the data out there on the Web. Here are a few highlights. The largest topics that the datasets cover are geosciences, biology, and agriculture. The majority of governments in the world publish their data and describe it with schema.org. The United States leads in the number of open government datasets available, with more than 2 million. And the most popular data formats? Tables–you can find more than 6 million of them on Dataset Search.
Farid Mheir's insight:
WHY IT MATTERS: data is the new oil. This thing is a gas station. Use it.
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The hype about artificial intelligence is unavoidable. From Beijing to Seattle, companies are investing vast sums into these data-hungry systems in the belief that they will profoundly transform the business landscape. The stories in this special report will deepen your understanding of a technology that may reshape our world.
Farid Mheir's insight:
WHY IT MATTERS: this special report provides good insights into what state of the art on AI is from a business application standpoint.
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Machine learning is continuing to shape business and society, and the researchers and experts VentureBeat spoke with see a number of trends on the horizon:
Farid Mheir's insight:
WHY IT MATTERS: I find this list of "predictions" interesting because it shows that AI is maturing and becoming much more complex, combining multiple structures, methods, algorithms to improve accuracy and move beyond simple statistical inference. Plus the fact that NVIDIA model has 8 BILLION nodes blew my mind... ;-)
Sebee's curator insight,
January 30, 2020 5:49 PM
Znane osoby związane ze światem SI (m.in szef Google AI) próbują przewidzieć w jakim kierunku będzie zmierzać SI w 2020 roku
Abel Linares's curator insight,
April 6, 2020 7:41 AM
Machine learning is continuing to shape business and society.
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2019 has been a banner year for beauty tech. See what tech-backed cosmetics brands will continue to transform and disrupt the sector in 2020 and beyond.
Farid Mheir's insight:
WHY IT MATTERS: this report provides insights in the many transformations that the beauty industry is going through, with many being digital technology driven.
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Samsung “Neon” project leader Pranav Mistry has confirmed that the project aims to create lifelike avatars using artificial intelligence. These virtual humans are based on captured data, but can generate their own expressions, movements and dialog in multiple languages. Mistry belives that one day soon a digital human could extend its role to become a part of our everyday lives, whether it be a virtual news anchor, virtual receptionist, or even an AI-generated film star. Read more for the leaked video and additional information.
Farid Mheir's insight:
WHY IT MATTERS: realistic looking avatars is essential to convey realism in many retailTech use cases from customer support to online video promotions. If this is realistic, cheap, easy to do, then this opens up the possibility of truly personalized video advertisement for example. And one step closer to digital disruption acceptance by blurring real with digital...
Content Curating's curator insight,
January 24, 2020 9:20 AM
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#CES2020
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Technological change driving ‘creative destruction’ in jobs market, says OECD
Farid Mheir's insight:
WHY IT MATTERS: recurring theme for the past few hundred years: you won't have jobs become technology will make you irrelevant. TRUE. Case in point, more than 80% of population was working on a farm less than 100 years ago. Today, 2%. Yet, we all jobs, just DIFFERENT ones. What will yours be in 2050?...
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December 25, 2019 6:36 AM
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January 20, 2020 1:09 AM
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Check out Einstein's Guide to AI Use Cases—it's an interactive website that helps you get started on your journey with AI.
Farid Mheir's insight:
WHY IT MATTERS: salesforce has created an interactive website to help its users leverage artificial intelligence that is built into its products. Clever.
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Salesforce’s alternative is Einstein and Einstein Analytics, both of which offer prebuilt, CRM-embedded predictions and recommendations along with the ability to build AI apps and answer company-specific business questions without coding or data science expertise.
Farid Mheir's insight:
WHY IT MATTERS: it is difficult to develop AI systems but often very easy to use them (think of Google voice assistant of face recognition in Google Photos). This article explains the AI features that salesforce.com has built in its new software.
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December 20, 2019 4:12 PM
How to build a Highly Targeted Audience on Facebook without wasting your time: http://bit.ly/toolstraffic
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A video explainer on the technology that’s changing the meaning of the human face.
Farid Mheir's insight:
WHY IT MATTERS: cameras are everywhere - phones, streets, home, office - and AI enables new capabilities that can present massive surveillance possibilities as well as personal protection and real-time data. This very well done video - as is the case with most VOX videos - should give you a good rundown of the plus and minuses...
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December 19, 2019 4:11 AM
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A new image recognition algorithm uses the way humans see things for inspiration.The context: When humans look at a new image of something, we identify what it is based on a collection of recognizable features.
Farid Mheir's insight:
WHY IT MATTER: the article explains that AI image recognition is maturing with improvements that enable identification based on multiple criteria to improve accuracy and explain explain how an AI has come up with its results.
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The best data labeling tools are intuitive, minimize human involvement, and maximize efficiency. This post showcases 8 tools to help label training data.
Farid Mheir's insight:
WHY IT MATTERS: this post highlights 2 importants facts about AI. First, it requires a lot of manual work to train the system. Second, who would have thought 10 years ago that your job title would be something like "Data labelling guru"...? Goes to show how deep AI will transform life and work...
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The context: The vast majority of Facebook’s moderation is now done automatically by the company’s machine-learning systems, reducing the amount of harrowing content its moderators have to review.
Farid Mheir's insight:
WHY IT MATTERS: this is the true power of AI: analyzing images and sound and other data that can be converted into images. This was simply not possible before and required humans to do so until about 2011. This is why AI is such a big revolution.
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The internet has changed the way we work, interact and learn with others across the world. How many people in the world are online, and how has this changed over time? Explore global and country-level data on internet access and technology.
Farid Mheir's insight:
WHY IT MATTERS: we take it for granted because 90% of the population in Canada has access to the Internet. This summary of facts about Internet adoption should make us all realize that: 1) the growth has been very fast 2) not everyone in the world has the same chance 3) newer technologies based on Artificial Intelligence, Internet of Things and soon AR/VR will leverage this infrastructure to deliver even more transformation
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Global research highlights how AI is changing the relationship between people and technology at work.
Farid Mheir's insight:
WHY IT MATTERS: this is a survey so all about perceptions - but perception is often reality in this era of fake news. The survey results provide useful insights into the fears and the powers that people see in AI today. Very useful when you approach change management in AI projects ...
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Curated by Farid Mheir
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WHY IT MATTERS: robots are leaving the factory floor to enter the workplace. First stop, warehouses. This new generation of autonomous robots can carry orders from one place to another, navigating against the human and robot traffic.
See this video that I shot at NRF2020: youtube.com
See this article I wrote about this (french): e-marketing.fr
See this article on these robots: ailatech.com