notice
- With so many legacy applications to modernize, developers are under more pressure than ever before. Cloud-native tools and methodologies, when properly implemented, alleviate much-needed pain points, make deployments more efficient, accelerate time to value, and optimize error detection. can. Join us for the 2-day Cloud Native Modernization Summit to get a roadmap to cloud native success and discover how you can use multi-cloud, microservices, containers, agile methodologies and more to drive innovation.
- Automation helps companies meet ever-increasing workloads, reduce costs, and free workers from manual, tedious tasks. The automation market continues to evolve to better meet the growing demands facing enterprises. Join us at The Growth of Automation Summit to hear leading experts discuss how AI, machine learning, and other technologies can scale automation to deliver even more benefits, and the latest technologies for successful workflow automation listen to them discuss
Technician layoffs and uncertainty pose major challenges to higher education
Mass layoffs continue across the tech industry, with tens of thousands of workers out of work in the first quarter of 2023. Cuts have come from smaller startups to the biggest names in technology: Google, Amazon and Microsoft. Core tech jobs such as data scientists and software engineers accounted for the majority of workers leaving. Mass layoffs will undoubtedly affect the morale of IT workers in the coming quarters and may even affect the number of candidates applying for these positions going forward.
But what about the implications for higher education? Career-contemplating high school students are definitely pausing before potentially spending hundreds of thousands of dollars on a degree in a rapidly changing tech field. Data Science Central contributor Vincent Granville in his article this week, Is a Machine Learning Degree Worth It?
Vincent raises some important questions about the state of higher education in relation to technology and says the economy is not the only factor affecting current and future technology employment. He also offers sage advice to anyone making career decisions: Despite recent news headlines about seemingly constant tech layoffs, Vincent has a lot to say about the future of his ML job and general Remain optimistic about tech jobs.
Without spoiling here, Vincent predicts that the market will ultimately favor workers, despite factors such as AI and the economy creating uncertainty for them. We look forward to hearing from you. This article will soon be published on his LinkedIn page on Data Science Central. Please visit us and let us know what you think.
Editor at Data Science Central
Please contact the DSC team if you are interested in contributing.
DSC feature article
- Will coding jobs die in 3 years?
April 25, 2023
by ajitjaokar - How to Learn Artificial Intelligence in 2023
April 25, 2023
Eileen Scott - How businesses can benefit from integrating ChatGPT into their apps
April 25, 2023
Seven Call - What is modern data quality?
April 25, 2023
Vanisa - Internal CPU accelerator and HBM enable faster and smarter HPC and AI applications
April 25, 2023
Rob Farber - Writing Sound AI Utility Functions: ChatGPT Example – Part II
April 23, 2023
Bill Schmarzo - 5 Critical Steps to a Successful Tech Startup: From Idea to Promotion
April 21, 2023
Evan Rogen - Companies Need a Data-Driven Approach Toward Net-Zero Goals
April 21, 2023
Jane Marsh - An overview of the role of data in AI development
April 20, 2023
Roger Brown - DSC Weekly April 18, 2023 – ChatGPT, Overconfident Artist
April 18, 2023
Scott Thompson - Best practices for data-driven procurement strategies
April 18, 2023
Karen Bonifacio
