
Sign up to save your podcasts
Or
Preparing for your first job or transitioning into a new field is overwhelming. Developing the skills you’ll need, understanding the terminology, and being able to tell a compelling story during an interview is a lot for any individual to take on, especially at the pace roles are changing.
This overwhelming task has only been made more challenging by the events of 2020.
Fortunately, technology is making it easier. Not only is today’s tech able to rapidly and continuously evaluate market skills, curate resources, and create a personalized path designed to land you the job, it’s also connecting people to the jobs where they can put them to work.
In this episode, Ahmed El-Sharkasy and I are going to be talking about how machine learning is simplifying this overwhelming process and how KnowledgeOfficer is taking the skill measurement and development a step further by connecting that development to landing that new job.
4.9
1313 ratings
Preparing for your first job or transitioning into a new field is overwhelming. Developing the skills you’ll need, understanding the terminology, and being able to tell a compelling story during an interview is a lot for any individual to take on, especially at the pace roles are changing.
This overwhelming task has only been made more challenging by the events of 2020.
Fortunately, technology is making it easier. Not only is today’s tech able to rapidly and continuously evaluate market skills, curate resources, and create a personalized path designed to land you the job, it’s also connecting people to the jobs where they can put them to work.
In this episode, Ahmed El-Sharkasy and I are going to be talking about how machine learning is simplifying this overwhelming process and how KnowledgeOfficer is taking the skill measurement and development a step further by connecting that development to landing that new job.
939 Listeners
2,021 Listeners
15,676 Listeners
1,232 Listeners
1,420 Listeners
18,766 Listeners
5,201 Listeners
2,274 Listeners
1,232 Listeners
1,970 Listeners
336 Listeners
196 Listeners
300 Listeners
262 Listeners
188 Listeners