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Weekly News: Open Source Coders Could Be Worth Millions


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Open source gold

Focusing on open source software solutions could save the European Union billions of euros a year. That’s according to a new report conducted by OpenForum Europe (OFE) under the European Commission’s direction, which concluded that a mere increase of 10% in open source production could increase the EU’s GDP by nearly €100bn.

The study estimated that in 2018 alone there were over 260,000 open source contributors in the EU. The volume of code they produced amounted to the full-time work of 16,000 developers, generating between 65 and 95 billion euros in value.  

The reveal comes as another study by IBM and O´Reilly suggests 94% of developers and technology managers prioritise open source skills over proprietary technology. Expertise in open-source tech like Linux and Kubernetes is almost twice (64.6%) as popular as skills tied to specific platforms like AWS or Azure. 

All thanks to the rise of the hybrid cloud, which requires a unified, flexible IT infrastructure and is expected to grow by 47% in the next three years. 

ITProPortal / TechRadar

Filling the AI skills gap

Artificial intelligence could change all our lives for the better, freeing us from repetitive tasks and allowing us to enjoy more free time and devote our energy to higher-level activities. That is, of course, if governments and business leaders around the world are able to promote the re-skilling of the workforce and bridge the already problematic talent gap.

That was the conclusion of a panel of European institutional experts at The Economist´s recent Innovation@Work summit, which acknowledged AI must be regulated to ensure it is an assistance to people’s lives rather than a hindrance. Ensuring data quality is key, while nations need to set up technology training efforts that produce the talent companies need. 

AI is one of the areas of IT where the talent gap is more apparent, especially as the technology keeps evolving at breakneck speed. Companies are a bit clueless regarding AI skills themselves. According to Gartner, 53% of business leaders believe the inability to identify skilled expertise is the number one impediment to workforce transformation. 

Diginomica

Also discover our article: How AI will allow recruiters to focus on people

Big tech goes green

One of the biggest critiques that can be made about big tech companies, besides their near economic monopoly is the carbon footprint they produce. Server farms and data centres, mining of the precious resources need to build hardware, emissions tied to the distribution of products. You name it. 

It is no surprise then that companies like Amazon, Google and Microsoft have made in recent years a pledge to reduce their impact on the environment and established ambitious goals for the near future. A move that has become all the more necessary considering mounting regulatory scrutiny by the US and EU governments.  

The solution? Investing in clean energy. 

According to an analysis by Bloomberg and the Financial Times, technology groups are the world’s biggest corporate buyers of green energy. From solar to wind farms, their clean-energy projects expand all across the globe, providing a growing portion of all their energy needs. 

Financial Times


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5 Online Courses to Get You Up-To-Speed with AI in 2023

Spoiler alert: Artificial Intelligence is the future of work. Or at least part of it. This is not to say that everyone will become an AI engineer. But in just a few years from now, a large part of job positions will require or reward AI skills that help employees be more efficient and dedicate themselves to higher-level tasks. Especially in areas like IT, where human error can have dire consequences. So what online AI courses are best to get you up-to-speed with this booming discipline?

AI has experienced a major explosion in popularity in recent years, becoming one of the fastest-growing roles in job markets across the world. Indeed, just at the beginning of the 2020, a LinkedIn report identified AI-related skills as the fourth most in-demand skills group among employers. And that was before the pandemic set in.

Since then, Artificial Intelligence has emerged as a compelling choice for students and professionals who want to keep up with innovation and trends. Analytics Insight points out very good reasons to study AI in 2023.

Bottom line: believe the hype. It’s about time you put on your AI boots if you still haven’t done so. Here are five courses to get you started that touch upon some of today’s core AI skills.


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1. Online AI courses : the basics

Artificial Intelligence

Firstly, how comfortable would you feel explaining to someone the difference between AI, machine learning and deep learning? What comes to mind when you hear the words ‘neural network’?

If you are not quite sure, start with the fundamentals. This Coursera course by IBM provides a good introductory overview of artificial intelligence and its many aspects:

2. One of the most popular online AI courses : Python

Python

Python is to AI what English is to Shakespeare’s plays. Thus, this nimble yet powerful language is one of the most popular among programmers and engineers, and, if you haven’t gotten around it already, well – you should.

This course on Udemy kicks off with a Python crash course and then gets into its data science and machine learning applications, covering the most widely used Python libraries and tools for AI (NumPy, Pandas, Matplotlib…):


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3. Machine learning

Machine Learning

In essence, machine learning is the use of algorithms to process data, learn from it and then act according to these learnings. Machine learning allows computers to autonomously learn and improve processes and assessments through experience, without being explicitly programmed beforehand. It’s pretty much ubiquitous these days –from your phone’s predictive keyboard to web searches.

This course by Stanford is a good starting point:

4. TensorFlow, neural networks and deep learning

TensorFlow

Moreover, developed by Google Brain Team, TensorFlow is an open-source library for numerical computation with powerful AI capabilities. TensorFlow is Python-friendly and is currently one of the most in-demand AI skills.   

This video offers a great hands-on introduction to building neural networks with TensorFlow:

The course requires previous Python literacy, so you should not jump into it before learning the language.   

5. Natural Language Processing (NPL)

Natural Language Processing (NPL)

Last but not least, NPL is a branch of artificial intelligence that focuses on analyzing, understanding and producing human language. It is an integral technology to many everyday features of the digital economy, from autocorrects to chatbots.

This Codecademy course provides a practical and project-based introduction to NPL:


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