With so much going on in artificial intelligence (AI) and cloud computing world, it’s 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. Here’s a look at your favorite picks of 2019 that have staying power.
Check out the top 10 Toolbox stories built around the theme of AI & cloud computing:
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
1. 5 AI Programming Languages for Beginners in 2019
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.
Machine Learning algorithms are built in such a way that they keep improving on past iterations. However, few professionals know about the tools and languages required to develop these algorithms. This article educates you about today’s most popular AI programming languages. It also helps you understand how AI programming works.
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.
2. 10 Industries AI Will Disrupt the Most by 2030
Enterprises across the world are adopting artificial intelligence, machine learning, and deep learning. Since these technologies have the potential to improve various operations and processes in the corporate sector, they will disrupt many existing markets.
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.
3. The Top 5 Cloud Computing Books to Read in 2019
Cloud Computing has completely revolutionized the IT industry in the last few decades. Not only has it made our personal lives easier, but it has also completely transformed the way business operated earlier. Therefore, the boom in cloud computing came as no surprise. Needless to say, cloud professionals are the most sought-after and highest-earning professionals in the IT industry today.
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 booksOpens a new window on cloud computing that aims to help readers master the basics and understand the current landscape of cloud.
Note: Planning to learn cloud computing, don’t miss out on this carefully crafted book list.
4. How to Build a Career in Artificial Intelligence and Machine Learning
Artificial Intelligence and machine learning are dominating today’s digital world. With machine learning becoming a new norm in business applications, many IT professionals are choosing this domain as their career path.
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.
5. 10 Most Common Myths About AI
We have all come across these myths about artificial intelligence. These myths mainly revolve around the fear of artificial intelligence taking over our jobs or even eliminating human civilization. However, when we try to understand the actual capabilities of the technology and how it is being used today, it is easy to determine that AI is only here to help.
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.
6. What Is Deep Learning: Definition, Framework, and Neural Networks
Deep Learning is a subset of machine learning that has the ability to perform unsupervised learning. It is an emerging field of artificial intelligence (AI) and machine learning (ML), which is receiving a lot of interest from AI researchers and practitioners worldwide. Deep Learning represents a new paradigm in AI, is computationally intensive and is the stepping stone to a more human-like AI in the future, some researchers believe.
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.
7. What Is the Difference Between Artificial Intelligence, Machine Learning, and Deep Learning?
Artificial intelligence (AI) has impacted several industries like BFSI, healthcare, life sciences, retail and e-commerce among others. As with any other emerging technology, there is a lot of buzz around artificial intelligence.
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.
8. What Is Cloud Computing Architecture: Front-End & Back-End Explained
Cloud Computing is being widely adopted by companies to expand their business operations. However, the components that make a cloud computing service reliable are not known to many.
Cloud software architecture refers to the various components that power cloud computing. This includes the applications, databases, and software that are used to create a cloud computing platform.
This article explains front-end and back-end cloud computing architecture in detail. Let’s take a look!
Note: Don’t miss out on this ready explainer on cloud computing which is a good read for beginners and techies!
9. Top 5 Private Cloud Service Providers in 2019: HPE, VMware, Dell, Oracle, and IBMOpens a new window
You can’t escape a boardroom discussion without any talks about the cloud and how it is powering the future. Businesses, small and large alike are rapidly moving their critical business applications to cloud. Cloud allows businesses to deliver IT services more quickly and cost-effectively. And when looking for secure cloud computing platforms, several organizations prefer private clouds.
Today, there is a wide variety of private clouds to choose from. This article aims to make the task easier by listing the top 5 private cloud vendors in 2019.
Note: Find out who’s on top of the stack in the cloud computing world.
10. Experts on the Future of Artificial Intelligence
The future of AI is a subject of many speculations. Since this field is hype-filled, the future of AI has been the epicenter of exaggerated claims and theories. However, one cannot deny the several benefits that AI offers.
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 LinkedInOpens a new window , TwitterOpens a new window , or FacebookOpens a new window . We’d love to hear from you!
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