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WHY IT MATTERS: Digital Transformation
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Curated by
Farid Mheir
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Google Cloud was named a Leader and received the highest score across all 10 Forrester New Wave™: Computer Vision Platforms, Q4 2019 evaluation criteria.
Farid Mheir's insight:
WHY IT MATTERS: AI has made its way into certain aspects of the business. Case in point: image analysis. As this report from Forrester shows there are many off the shelf solutions that one can leverage to ensure, for example, that images uploaded onto their website does not contain inappropriate content or can be analyze to identify their content. We leverage some in lepanierbleu.ca and there was no discussion that the technology was a must have from the get go. 
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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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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.
Johnson Dwayne's comment,
December 23, 2019 8:26 PM
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PSK Technologies Nagpur's comment,
December 25, 2019 6:37 AM
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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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Face detection is the ability of a computer program to identify and locate human faces in a digital image. Face detection is one of the most common applications of Artificial Intelligence. From camera applications in smartphones to Facebook’s tag suggestions, the use of face detection in applications is increasing every single day.
Farid Mheir's insight:
WHY IT MATTERS: few lines of code is all you need to do things that were considered impossible 5 years ago. With this powerful tool at their finger, expect pretty every website and system to include face detection and other image processing features to be included in the coming years. But few developers will know about the limitations of the technology, especially the biais that may exist in the training data. As in this example, you realize that the "confidence" has not been used in the example, but yet it seems to be an essential information to interpret the results. There will be many many errors due to this in the coming years before the technology really is fool proof.
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ImageNet Roulette uses a neural network trained on the “people” categories from the ImageNet dataset to classify pictures of people. It’s meant to be a peek into the politics of classifying humans in machine learning systems and the data they’re trained on.
Farid Mheir's insight:
WHY IT MATTERS: ImageNet has 14M pictures categorized in 32000 categories and is often used as the training dataset for image recognition neural networks. Here this website allows you to upload an image and see how the system would categorize you. It is interesting to play with different images to see what the system returns in order to get a sense of the huge amount of data that AI systems require in order to do a good job. We are far away from systems that can classify any image in any context but if you have a special niche with sufficient amount of data, it is quite impressive what can be done in a relatively short amount of time.
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RPA is a software robot that mimics human actions, whereas AI is the simulation of human intelligence by machines. Many people often asked about the difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI). Some even confused the two to be the same.
Farid Mheir's insight:
WHY IT MATTERS: a short article that explains clearly how you can leverage automation is companies today.
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In this report, TDWI uncovers deeper insights that give users new perspectives on business questions. AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value. But to get to that point, AI-infused BI tools will need to gain people's trust by consistently delivering accurate, relevant, and transparent insights within the context of a business user’s existing workflow.
Farid Mheir's insight:
WHY IT MATTERS: an interesting report that puts artificial intelligence (AI) tools as tools to augment Business Intelligence (BI) and evolve the field beyond analytics into prediction. Also provide some good reference diagrams as this one.
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From
a16z
Artificial intelligence has not only become an international arms race, competition has now heated up as companies look to adopt machine learning/deep learning at an unprecedented pace. But the conversation about AI has largely focused on pitting humanity against AI, instead of what happens when we bring together humans *with* AI. In this talk by a16z operating partner Frank Chen, given at the annual a16z Summit, Chen goes beyond the hype to look forward at how AI and automation will augment, enhance, create, and yes, replace humans…. but also highlighting what it is that makes us human to begin with.
Farid Mheir's insight:
WHY IT MATTERS: there are already a number of usable applications for AI in use today in organizations worldwide, large and small. This is one good list from a16z in an easy to listen video with great examples of innovative startups in the field.
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More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.
Farid Mheir's insight:
WHY IT MATTERS: frameworks tools and technologies for machine learning have evolved very rapidly and play in big part in making AI a reality.
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Beyond the world of email marketing in the wider world of business, the impact of Artificial Intelligence (AI) on productivity and employment has risen to prominence in the last two plus years as more affordable systems have become available from vendors. This has naturally prompted marketers to review the potential marketing applications of AI. To answer this question, in our guide to marketing applications of AI , Smart Insights has reviewed the opportunities and tools for AI across the customer lifecycle. This report highlights the critical trends and techniques that will help you transform your brand-customer relationships using the most powerful channel in your marketing mix: email!
Farid Mheir's insight:
WHY IT MATTERS: a recent survey provides numerous insights into email marketing tools and techniques. A great reference with numerous examples, tools and technologies. One highlight of the report is the role that AI plays in the creation and delivery of email campaigns in the coming years.
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In 2019, email marketing remains one the most effective techniques for digital marketers, so keeping up-to-date with the latest trends, best practice techniques, and technologies for email marketing remains extremely important. Our recent Managing Digital Marketing in 2019 report shows that over two-thirds of marketers rated email marketing as providing the highest or medium return-on-investment (ROI) when compared to other channels.
Farid Mheir's insight:
WHY IT MATTERS: a recent survey provides numerous insights into email marketing tools and techniques. A great reference with numerous examples, tools and technologies. One highlight of the report is the importance / ROI of email but also ads, SEO and content marketing: there is no silver bullet but rather a good mix of solutions.
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AI offers a helping digital hand to overburdened B2B marketing departments.
Farid Mheir's insight:
WHY IT MATTERS: we all wonder how we will ever apply AI into our daily activities given how complex it is to develop AI and the lack of resources on the market. But the same way you don't need to know how combustion engines work to drive a car or how HTTP or TCP IP work to search the web on Google, AI will find its way into our everyday tools (think Google assistant) and impact every job on the market. No need to hire an AI dev team in your organization but you need to make sure you use the latest AI-infused tools to gain that advantage.
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Now you can add state of the art machine learning features to your applications. Production ready Docker containers that you can run, deploy, and scale.
Farid Mheir's insight:
WHY IT MATTERS: visual pattern recognition using machine learning techniques is fast becoming a commodity with services like this one. It allows developers to deploy pre-trained solutions for image analysis. Not sure it is the best model or the perfect solution but it does lower the barrier of entry for most developers in the field.
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Automated Insights helps organizations make better business decisions, faster. By empowering data-driven organizations with their proprietary natural language generation (NLG) platform, Wordsmith, businesses are able to deliver the right insight, to the right person, at the right time and in the easiest-to-understand medium—the written word. Wordsmith makes exploring, discovering, and communicating insights easier than ever before.
Farid Mheir's insight:
WHY IT MATTERS: AI is becoming easier to use in real world applications, as evidenced by this recent forrester wave. It positions a number of tools for natural language generation to help with creation of analytics reports that present results in textual format instead of numbers and charts as is often the case with report generators. Good to know.
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Businesses are suddenly very interested in Facebook Messenger bots. And for good reason: Facebook's chat platform now supports over 1.2 billion monthly active users—and automated chatbots, like ManyChat and Chatfuel, provide a unique, interactive way of engaging with them. Chatbots let you have a conversation wit
Farid Mheir's insight:
WHY IT MATTERS: chatbots were all the rage last year, often described as a silver bullet to solve all kinds of problems easilly. Now they have become one more solution in the digital transformation arsenal, with PROs and CONs. This post describes the process to setup and configure two popular tools and in the process highlight their capabilities and shortcomings.
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Lors de la soirée du Débat des chefs, bien des choses ont été dites sur Internet, par les électeurs qui suivaient le débat, par les analystes, les sympathisants et même, les partis eux-mêmes. Voici une analyse de ces propos produites par les gens de Semeon Analytics pour chacun des chefs présent lors du débat de jeudi…
Farid Mheir's insight:
WHY IT MATTERS: big data and AI can extract the information from social networks - this is a perfect example of the use of such tools to analyze the sentiments towards politicians during debates in Quebec province.
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Teaching page of Shervine Amidi, Graduate Student at Stanford University.
Farid Mheir's insight:
WHY IT MATTERS: machine learning is based on mathematics and computer science. Here are cheat sheets to help guide students - but in reality they are good for everybody. Also look on github for translations in multiple languages...
Zayn Thomas's comment,
September 18, 2018 8:06 AM
thanks for precious knowledge and check out our Mobile Blogging app for students : http://www.heuroapp.com/
Vezta & Co.'s curator insight,
September 19, 2018 8:37 AM
WHY IT MATTERS: machine learning is based on mathematics and computer science. Here are cheat sheets to help guide students - but in reality they are good for everybody. Also look on github for translations in multiple languages...
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Deep Learning is at the cutting edge of what machines can do, and developers and business leaders absolutely need to understand what it is and how it works. This unique type of algorithm has far surpassed any previous benchmarks for classification of images, text, and voice.
Farid Mheir's insight:
WHY IT MATTERS: good introduction to a technology that will impact all our lives in the very near future.
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![“Beautiful[AI]” Uses Artificial Intelligence To Create Your Presentations #AI #AIeverywhere | WHY IT MATTERS: Digital Transformation | Scoop.it](https://img.scoop.it/uy8-yYqYhBmq73x3S01JmXkes5yE2Br8B0LnubnjJ88=)
It’s pretty wild – it appears that using Artificial Intelligence to help people create their presentations could a next Big Thing.
Farid Mheir's insight:
WHY IT MATTERS: finally something where AI is truly useful! ;-)
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Explore TensorFlow Playground demos. See how they explain the mechanism and power of neural networks, which extract hidden insights and complex patterns.
Farid Mheir's insight:
WHY IT MATTERS Understanding how neural networks work is difficult. This simple tool helps you visualize how they work and change parameters to see their impact on the network quality.
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From
hbr
Now a new breed of software applications is reshaping sales force management. Their common characteristic: Using digital data exhaust, which is the data generated from the regular activities of a sales force or their customers, to change the behaviour of frontline sales representatives in ways that dramatically improve sales productivity and effectiveness.
Farid Mheir's insight:
WHY THIS IS IMPORTANT Daily activities leave digital traces that can be leveraged to improve processes and deliver value in organizations. We often overlook this data in organizations but we should realize that companies such as Facebook, Google, Apple and others have invested huge amounts of efforts to dig into the data exhaust of our digital and physical world activities in order to extract, infer, predict our tastes and behaviour. If it works for them, it should work for us as well, no?
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Onfido delivers next-generation background checks, helping the world’s most innovative businesses verify anyone, anywhere.
Farid Mheir's insight:
AI and Big Data are being applied to identity verification by a startup that has received 25M in funding and is poaching employees from Google.
WHY THIS IS IMPORTANT AI and other techniques will provide enhance capabilities to deter theft and privacy violations. They will become essential tools in digital transformation of businesses. For example, UBER is using Onfido to verify that people are who they claim they are, thus making their service better able to curb credit card theft, and protect drivers by ensuring their passengers can be tracked is they behave inappropriately.
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From
zapier
Bots are handy little assistants that hang out in your app, wait for commands, and then find or create the thing you need. They're another way to use your favorite apps without needing to open those apps, running automated tasks for you. They're the big new thing—a core part of Slack, Facebook Messenger, and Telegram's newest features—and yet they seem too complicated to build and use. Turns out, bots are simple enough for anyone to make. Here's how you can make a bot to do anything you want in a few minutes without any coding—along with a dozen examples of bots that real teams are using today, and a Slack bot cheat sheet for a handy reference to help build your own bots.
Farid Mheir's insight:
A detailed how-to article on how to build a chat bot using Zapier, a popular online programming automation tool.
WHY THIS IS IMPORTANT Robots or "bots" will become more and more common in the near future as they integrate seamlessly into our most common chat programs such as Facebook messenger. They will become popular because they allow any company to have a presence inside popular mobile apps and do not require any installation from users: they just type in requests and get responses in return. Directions, orders, and information will be streamed by those autonomous programs to help you fulfill daily tasks. This article highlights an important aspect of bot programming: they will become easier and easier to create, especially for common and recurring problems.
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Curated by Farid Mheir
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WHY IT MATTERS: data is essential for AI but also all kinds of business intelligence and analytics in the "traditional" world of eCommerce for example. The post brings up some of the elements to consider when planning to cleanse data. Not a trivial task to perform automatically.