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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Computer Vision Platforms report from @Forrester highlights the fact that #AI is already an off-the-shelf solution for many use cases and any project size

Computer Vision Platforms report from @Forrester highlights the fact that #AI is already an off-the-shelf solution for many use cases and any project size | WHY IT MATTERS: Digital Transformation | Scoop.it

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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The Gartner 2020 Magic Quadrant for Data Science and #ML Platforms

The Gartner 2020 Magic Quadrant for Data Science and #ML Platforms | WHY IT MATTERS: Digital Transformation | Scoop.it

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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Implement #FaceDetection in few lines of Python code shows image processing using #ML has become trivial: expect to see it in all kinds of products + expect all kinds of errors due to training data...

Implement #FaceDetection in few lines of Python code shows image processing using #ML has become trivial: expect to see it in all kinds of products + expect all kinds of errors due to training data... | WHY IT MATTERS: Digital Transformation | Scoop.it

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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The Difference between Robotic Process Automation #RPA and Artificial Intelligence #AI boils down to process-driven vs data-driven solutions HT RobertRoy @treboryor

The Difference between Robotic Process Automation #RPA and Artificial Intelligence #AI boils down to process-driven vs data-driven solutions HT RobertRoy @treboryor | WHY IT MATTERS: Digital Transformation | Scoop.it

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.
To make matters worse, many vendors are now brandying about terms like Intelligent Automation (IA) or Intelligence Process Automation (IPA). For the uninitiated, all these jargon can be very confusing, and perhaps daunting. To help you out, we have put together this blog post to highlight the key differences between RPA and AI, particularly in the context of process automation.

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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Introduction to Deep Learning via @Algorithmia #AI #DeepLearning #Reference

Introduction to Deep Learning via @Algorithmia #AI #DeepLearning #Reference | WHY IT MATTERS: Digital Transformation | Scoop.it

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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