
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.
By Christopher Lind4.9
1414 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.

228,163 Listeners

14,392 Listeners

16,036 Listeners

2,034 Listeners

4,892 Listeners

1,482 Listeners

7,117 Listeners

56,561 Listeners

700 Listeners

1,298 Listeners

10,187 Listeners

54 Listeners

16,211 Listeners

4,378 Listeners

283 Listeners