The automotive industry is well known for its security standards regarding the road safety of vehicles. All processes regarding vehicle development - from drawing board to sales - were standardized...
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In the second article of the series, we guide you on how to run a simple project in an AWS environment using Metaflow. So, let’s get started. Need an introduction to Metaflow? Here is our a...
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Data is the currency of the 21st century. Those who have access to it can manage it wisely and draw constructive conclusions to get ahead and outperform the competition. The business model based on...
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Machine Learning combined with edge computing gains a lot of interest in industries leveraging AI at scale - healthcare, automotive, or insurance. The proliferation of use cases such as autonomous d...
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Just a few years ago, artificial intelligence stirred our imagination via the voice of Arnold Schwarzenegger from "Terminator" or agent Smith from "The Matrix". It wasn't long before the rebellious...
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The title of the article is quite deceiving - both mentioned technologies are currently just distant concepts based on widely divergent connectivity mediums. It’s still a distant future, but letâ€...
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Insurance has always been an industry that relied heavily on data. But these days, it is even more so than in the past. The constant increase of data sources like wearables, cars, home sensors, and...
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In this article, we briefly highlight the features of Metaflow, a tool designed to help data scientists operationalize machine learning applications. Introduction to machine learning operat...
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Do you have an application in the AWS cloud? Do you have several microservices you would like to monitor? Or maybe you’re starting your new project and looking for some good-looking, well-designed...
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Should the code be green? Sustainable Mobility is the key goal for today and future vehicle manufacturers and mobility providers. Reducing the CO2 footprint of transportation contributes to b...
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The IT world revolves around servers - we set up, manage, and scale them, we communicate with them, deploy software onto them, and restrict access to them. In the end, it is difficult to imagine our...
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Our journey towards building Intelligent Document Processing systems will be completed with entity finders, components responsible for extracting key information. This is the third part o...
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Once we know the basics of Julia, we focus on its utilization in building machine learning software. We go through the most helpful tools and moving from prototyping to production. How to...
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We continue our journey towards building Intelligent Document Processing Systems. In this article, we focus on document classification and validation. This is the second part of the series...
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As the Julia programming language is becoming very popular in building machine learning applications, we explain its advantages and suggest how to leverage them. Python and its ecosystem ...
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