The impact AI will have upon employment is a widespread topic of discussion in the popular, technical, and industry press as well as among employers, employees, and thought leaders.
The first few times I was asked this question, I brushed it off with a brief answer, assuming that it was a passing curiosity by the person asking the question, and that there was no real concern or emotion behind the inquiry. I was wrong in that regard.
This question is on the minds of many people and it is weighing on them as a real concern. In the past year, I have been asked the same or similar questions in presentations and discussions in Australia, the United Kingdom, Germany, Switzerland, and the United States.
Rather than continuing to brush aside the question, I have started answering it with one of the many studies that have proven, again and again, that AI and related technologies and systems are net job creators in the short and long term. Let's examine a few of those recent studies.
This article is an excerpt from the book, Building Analytics Teams authored by John K Thompson. In this book, John K. Thompson, with his 30+ years of experience and expertise, illustrates the fundamental concepts of building and managing a high-performance analytics team, including what to do, who to hire, projects to undertake, and what to avoid in the journey of building an analytically sound team.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
For Big Data Analytics, the challenges faced by businesses are unique and so will be the solution required to help access the full potential of Big Data.
A discussion on Business Intelligence, Data Warehouse, and Data Analytics with essential pointers that's help to the difference between above all terms in a proper way.
What is the impact of AI on jobs? Will AI be a job Killer? Or will AI be a job creator? Will there be more job opportunities with AI or will it snatch jobs?
In present times, becoming a data scientist is much more expeditious by attending a couple of online courses and obtaining some certifications.