Inclusion and diversity in Academia and Industry in AI.

Women in Data Poster by Mohamed AGOULZI on Store Displate.com

The technology field is offering a wide range of opportunities for women and men alike. As a part of it, artificial intelligence and analytics also know a substantial growth over the past decades. More details on the interest explosion can be found in the attached article:

With such an important discovery comes many relevant questions, one of them is about the gender gap. Although it is not a man — woman fight. But, statistics always offer a clear vision of the field situation and if there is any “barrier to entry.” Low percentages are usually a big red flag. …


And here is how to OVERCOME IT.

Source: Pablo Stanley

Being an imposter is not specific to a particular career path nor a certain level of experience. Imposter syndrome doesn’t know gender, age, or origin. All it knows is hindering you from getting to where you deserve to be and sabotage your well-deserved growth. In such a broad and multidisciplinary field like data science, doubting your skills and capabilities can find its way your heart with all those extensive lists of “Ideal skills of a perfect data scientist.”

These persisting internalized self-sabotaging behaviors are destructing your career in both the short, and long-term, and here’s how dangerous that can be:

Stops you from learning.


Guidelines to produce mature Data science.

Lambin and al. Radiother Oncol. 2013.

The use of existing assets within multiple disciplines has proven to be a key benefit for advancing research, scientific discovery, and innovation. These assets can be any product or by-product of the development cycle. They could be code, images, software, web services, APIs, and data in its structured and unstructured forms. Nevertheless, finding these existing assets and making use of them remains challenging withing the research community. Thus, the need for principles to get the most value of data responsibly.

In 2016, an international group of researchers came together to find how to enable the sharing and reuse of datasets…


Let’s talk stats about AI state.

Photo by Greg Ortega on Unsplash

The explosion of interest in Artificial intelligence impact and trends has led to the rise of many questions and commentaries over the last decades. One of the most popular points of view is that Artificial intelligence and its sub-fields are dead, and other trending advanced technologies will take over. Is it true that AI is dead? Let’s dive in!

The Economy.

Jobs

Is Artificial Intelligence still in demand in the hiring market? and which countries are experiencing growth in AI jobs?

The hiring rate has been increasing for not only advanced economies but also for many emerging markets. …


“AI Black Boxes” are for everyone.

Photo by h heyerlein on Unsplash

“The true mark of a leader is the willingness to stick with a bold course of action — an unconventional business strategy, a unique product-development roadmap, a controversial marketing campaign — even as the rest of the world wonders why you’re not marching in step with the status quo. In other words, real leaders are happy to zig while others zag. They understand that in an era of hyper-competition and non-stop disruption, the only way to stand out from the crowd is to stand for something special.” — Bill Taylor.

The successful experiences in the field of artificial intelligence lead…


Read this if you are hoping to start a data science journey by 2020.

Photo by Tim Mossholder on Unsplash

Starting a data science journey had massive attention over the last few years. Several courses and university programs are made available, and many aspiring students or career transitioners consider it to be their dream job.

According to a Harvard business review, Data science is the 21st Century sexiest job. Moreover, Businesses are growing their Hiring percentages of data scientists year after another.

If you are interested in getting involved in the data world, this article will assist you in your journey. So stay ahead!

The following are some critical advice to any aspiring data scientist:

Don’t do data science for…


The guide to understand HDFS concepts

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As data is significantly growing, storing large amounts of information across a network of machines becomes a necessity. Therefore, comes the need for a reliable system, called distributed filesystems, to control how data is stored and retrieved. However, many challenges emerge with the implementation of such infrastructure, for instance, handling hardware failure without losing data.

In this article, we’ll focus on Hadoop’s distributed filesystem — HDFS, its design, its architecture, and the data flow.

The design of HDFS

The Hadoop Distributed File System (HDFS) is a distributed file system designed to:

Run on commodity hardware.

Hadoop is designed to run on affordable devices commonly…


Photo by Taylor Vick on Unsplash

Today, businesses aim to find the value in their data to make strategic decisions that will solve their business problems, increase their profits, and strengthen their value creation processes. ( More on value creation with big data: Here )

As they are recording more and more information, the size of their data is growing, consuming bigger storage space, and becoming harder to manage. Hence, the creation of Big Data.

In this article, we’ll discover big data from a technological point of view, its history, its tools, and its full ecosystem.

The rise of big data

Besides maintaining their transactional data, companies are storing large amounts…


Photo by Carlos Muza on Unsplash

“Big data is at the foundation of all the megatrends that are happening.” — By Chris Lynch, American Writer of Books

Like it or not, Big data is today’s most influential technology trend. Such a topic is being seen as a “must-have” technology that will help companies and organizations to impact their businesses strongly. It is about leveraging unique and actionable insights about customers, products, and actions to strengthen value creation processes, optimize key business initiatives, and uncover new monetization opportunities.

In this article, we’ll dive deep into the big data world to know what is, why it matters, and…

Hajar KHIZOU

Data Scientist, Web Intelligence Engineer. Science & Technology Volunteer for +3years! VP of IEEE Morocco Young Professionals. (linkedin.com/in/hajarkhizou/)

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