This is the whole point of technology. It creates an appetite for immortality on the one hand. It threatens universal extinction on the other. Technology is lust removed from nature. - Don DeLillo, American Novelist

With so much going on in artificial intelligence (AI) and cloud computing world, its hard to find articles and resources which not only inform but educate about the shifts in technologies, career-building tips and accelerate your progress in these fields. At Toolbox, we help you stay current with our coverage of current and emerging technologies and keeping a pulse on shifting technology trends. Needless to say, you ended up loving the content we curated. Heres a look at your favorite picks of 2019 that have staying power.

Table of Contents

1. 5 AI Programming Languages for Beginners in 2019

2. 10 Industries AI Will Disrupt the Most by 2030

3. The Top 5 Cloud Computing Books to Read in 2019

4. How to Build a Career in Artificial Intelligence and Machine Learning

5. 10 Most Common Myths About AI

6. What Is Deep Learning: Definition, Framework, and Neural Networks

7. What Is the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?

8. What Is Cloud Computing Architecture: Front-End & Back-End Explained

9. Top 5 Private Cloud Service Providers in 2019: HPE, VMware, Dell, Oracle, and IBM

10. 10 Experts on the Future of Artificial Intelligence

Artificial Intelligence, machine learning (ML), and deep learning (DL), are being used to simplify various business processes today. With cloud-based AI solutions, it has become even easier for companies to deploy AI to the average user, thereby paving the way for exciting possibilities.

Note: With so much buzz on AI, how does one get started with it. Check out this ready list of programming languages for AI and ML.

This article explores the fate of the industries that are most likely to be impacted by the wide adoption of artificial intelligence.

Note: Quick snapshot on industries poised for disruption by AI and emerging technologies.

Every aspiring cloud professional should aim to build a good foundation in basic cloud computing concepts. The article provides a compilation of the top 5 books on cloud computing that aims to help readers master the basics and understand the current landscape of cloud.

Note: Planning to learn cloud computing, dont miss out on this carefully crafted book list.

However, with growing competition, it is getting difficult to land a job as a machine learning professional. This article discusses the skills and certifications that are required to get hired as a Machine Learning engineer, AI developer, or a Research Scientist. It shares detailed information about the five sought-after AI and machine learning roles one can choose from.

Note: Short and concise guide on upcoming jobs roles in AI/ML and learning resources.

This article lists some of the most popular myths about artificial intelligence and digs deeper into them. It aims to investigate the real-world implications and possibilities of these theories and makes an attempt to separate hype from reality. Quite an interesting read, this one!

Note: Get real about artificial intelligence with this piece that busts common misconceptions and more.

This article educates readers about the basics of Deep Learning and neural networks, as well as the frameworks that are used to create them. It also lists some examples of neural network algorithms.

Note: This article is your go-to guide on Deep Learning algorithms.

However, due to the growing buzz around artificial intelligence, machine learning, and deep learning, the difference between these terms has become unclear. Due to the similarity of these terms, a lot of new entrants find these concepts confusing. This article aims to help readers differentiate between various artificial intelligence-related terminologies with the help of definitions and helpful examples. Definitely a must-read!.

Note: Stay on top of your concepts and understand the conceptual differences with this article.

This article explains front-end and back-end cloud computing architecture in detail. Lets take a look!

Note: Dont miss out on this ready explainer on cloud computing which is a good read for beginners and techies!

Note: Find out whos on top of the stack in the cloud computing world.

Various companies that have been early adopters of AI solutions have been able to see significant gains in the optimization of their business processes. Artificial intelligence is seeing wide adoption in the enterprise sector. However, professionals who have not yet adopted AI are clueless about how the technology actually works and what its future will be like.

Therefore, the only way to gauge the effect of AI on various industries is to talk to professionals who work with this technology on a daily basis. Toolbox reached out to industry experts to understand their views about the future of artificial intelligence. Take a look at the compilation.

Note: Check out the top 10 predictions on the future of AI by industry experts and what are the next steps in industry adoption.

What would you like us to write about in 2020? Comment below or let us know on LinkedIn, Twitter, or Facebook. Wed love to hear from you.

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10 Toolbox Stories You Loved in 2019 - Toolbox