The Software industry is frightening! Last week, I started Software is eating the world blog posts series where I shared my opinion and experiences around the current hastiness in the software market and analyzed the driving forces behind current trends. The post went really viral with 2.5K views in two days. However, I would like to continue this series by reviewing some courses which I believe are valuable to position yourself in the market and…
Background “Software is eating the world” This is the most expressive statement I have ever read which describes the current craziness and hastiness in the software industry. Starting from IoT, self-driving cars, AI/ML, cryptocurrencies, automation to continuous innovation from startups and industry giants, and any buzzword that you have heard. Under the stress of this nasty wave, a pressing question always pops-up to all technology field workers: What should I do about it? Should I…
Introduction: Natural Language Processing (NLP) is a field in computer science concerned with computational techniques to analyze and synthesize natural language and speech. In simple words, it is the science behind daily assistants who understand our words such as iPhone Siri and Google Assistant. The NLP field is among the most challenging areas in computer science. The reason is that computers are very good at performing mathematical operations and their aggregates, however, NLP field requires…
Background Objective measurement of unstructured data such as video, text, and audio has always been a challenge for BI, which is primarily focused on structured data, big data analytics aims to bridge this gap by its ability to analyze unstructured data. This is closely related to what we are going to do in today’s tutorial using AI services. Daily, we deal with different organizations, companies and service firms that provide call centers endpoint such telephone…
A little background … Big data analytics and AI has seen applications in many fields such as finance, trade, and health sectors. Recently, HR and talent domains started enjoying the benefits of these technologies, where it is called “people analytics.” This article begins by questioning the status quo of the current talent management practices and highlight its flaws, thereafter it paves the path for the rise of people analytics. Then, people analytics contemporary position is…
