Description
With the advent of artificial intelligence and robotics, automation is easier than ever before. It is happening: people are increasingly handing over their tasks to machines – from simple virtual assistants coordinating daily schedules to industrial-grade robots automating
manufacturing pipelines. For companies, the challenge is to anticipate the evolution of jobs and to prepare their employees for the future. Which jobs are most impacted? How? What are the new skills that employees should acquire in order to thrive in today’s fast-paced labor market?
To address these questions, we rely on a linked database of jobs and skills, which incorporates a categorization of tasks according to their automation potential. Semantic similarity algorithms are used to match tasks and job titles to skills and to occupations, respectively. This in turns allows it to define and compute an automation index for each job.
This webinar aims to build awareness on the impact of automation on work. Attendees will learn that:
While no job is safe from automation, certain jobs are more at risk than others. For example, the automation impact varies with the seniority of the position or the given corporate function.
Automatable skills generate a strong need for upskill and reskill activities, and soft skills are front and center. Not all soft skills are equal, however, and certain soft skills tend to be required much more frequently than others by hiring managers.
Instructor's Bio
Pierre Buirel
Data Scientist at Boostrs
Pierre is Data Scientist at Boostrs, a startup operating in the broad area of Talent Management. In this role, Pierre is responsible for maintaining and expanding a world-class database of jobs and skills across 27 major industries. He is always looking for new sources of data to make the Future of Work a little less uncertain. His expertise lies in the area of NLP technologies – using both R and Python.
Gabrielle Fournet
Head of Data Science at Boostrs
Gabrielle is Head of Data Science at Boostrs. In this role, she leads a team of data scientists whose mission is to connect people, skills and learning. Specifically, the aim of this work is to recommend meaningful career paths to people, as well as to identify the learning paths which support this career evolution. Gabrielle holds a Ph.D. degree in Physics from the Paris-Saclay University.
Webinar
-
1
Robots are coming – who needs a skill boost?
-
Ai+ Training
-
Webinar Recording
-
UPCOMING LIVE TRAINING
Register now to save 30%
-
All Courses, All Live Training
PAST LIVE TRAINING: Available On-Demand: Natural Language Processing Fundamentals in Python
(4) 4.8 average rating2 Lessons $189.00 -
All Courses, All Live Training
PAST LIVE TRAINING: Available On-Demand: Time Series Forecasting (with Python)
(4) 4.8 average rating12 Lessons $189.00 -
All Courses, All Live Training, 3: Advanced
PAST LIVE TRAINING: May 18th: Deep Unsupervised Learning: Autoencoders, Semi-supervised Learning, and Generative Models
2 Lessons $147.00