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HR Data Labs podcast - Kathi Enderes - HR Tech 2023 - How AI Enables Skills-Based Workforce Planning

Kathi Enderes - HR Tech 2023 - How AI Enables Skills-Based Workforce Planning

11/28/23 • 43 min

HR Data Labs podcast

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Summary:

Kathi Enderes is the Senior Vice President of Research and Global Industry Analyst at The Josh Bersin Company. She brings insight from some of their recent research concerning the labor shortage and what can possibly be done to help close the gap.

In this episode, Kathi talks about the current state of HR and what she expects to change in the next two years especially in regard to AI and how it can enable skills-based workforce planning.

Chapters:

[0:00 - 3:55] Introduction

  • Welcome, Kathi!
  • Today’s Topic: How AI Enables Skills-Based Workforce Planning

[3:56 - 16:00] Looking back at 2023

  • AI turned the world of HR (and the world of business) upside down
  • Industries are converging and many companies are effectively becoming tech companies
  • How career frameworks and re-skilling can steer companies away from massive layoffs

[16:01 - 32:14] How can AI help with skills-based workforce planning?

  • AI is and will be far better at analyzing vast databases of information, which can help identify opportunities more quickly
  • HR’s increased complexity over the last few years drives the need for AI to take over low-value tasks

[32:15 - 42:56] Will AI increase the speed of work and employee burnout?

  • How we burden ourselves with work and how we can avoid burnout
  • There will still be areas of work that we simply can’t automate

[42:57 - 43:52] Closing

  • Thanks for listening!

Quotes:

“One big theme that we see for [the coming years] is: how can HR operate in a more integrated way? ”

“I think a lot of companies are waking up to the fact that they need to do much more agile and dynamic workforce planning.”
Resources:
Research from The Josh Bersin Company
Contact:
Kathi's LinkedIn
David's LinkedIn
Podcast Manger: Karissa HarrisEmail us!Production by Affogato Media

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Send us a text

Summary:

Kathi Enderes is the Senior Vice President of Research and Global Industry Analyst at The Josh Bersin Company. She brings insight from some of their recent research concerning the labor shortage and what can possibly be done to help close the gap.

In this episode, Kathi talks about the current state of HR and what she expects to change in the next two years especially in regard to AI and how it can enable skills-based workforce planning.

Chapters:

[0:00 - 3:55] Introduction

  • Welcome, Kathi!
  • Today’s Topic: How AI Enables Skills-Based Workforce Planning

[3:56 - 16:00] Looking back at 2023

  • AI turned the world of HR (and the world of business) upside down
  • Industries are converging and many companies are effectively becoming tech companies
  • How career frameworks and re-skilling can steer companies away from massive layoffs

[16:01 - 32:14] How can AI help with skills-based workforce planning?

  • AI is and will be far better at analyzing vast databases of information, which can help identify opportunities more quickly
  • HR’s increased complexity over the last few years drives the need for AI to take over low-value tasks

[32:15 - 42:56] Will AI increase the speed of work and employee burnout?

  • How we burden ourselves with work and how we can avoid burnout
  • There will still be areas of work that we simply can’t automate

[42:57 - 43:52] Closing

  • Thanks for listening!

Quotes:

“One big theme that we see for [the coming years] is: how can HR operate in a more integrated way? ”

“I think a lot of companies are waking up to the fact that they need to do much more agile and dynamic workforce planning.”
Resources:
Research from The Josh Bersin Company
Contact:
Kathi's LinkedIn
David's LinkedIn
Podcast Manger: Karissa HarrisEmail us!Production by Affogato Media

Previous Episode

undefined - Richard Rosenow - HR Tech 2023 - Predicting the Future of HR with Lessons Learned from 2023

Richard Rosenow - HR Tech 2023 - Predicting the Future of HR with Lessons Learned from 2023

Send us a text

Summary:

Richard Rosenow is a people analytics speaker and the VP of People Analytics Strategy at One Model, a people analytics platform. In this episode, Richard talks about some observations and lessons learned from 2023 and how they might shape the near and distant future of people analytics.

Chapters:

[0:00 - 3:51] Introduction

  • Welcome, Richard!
  • Today’s Topic: Predicting the Future of HR with Lessons Learned from 2023

[3:52 - 12:45] Looking back at 2023

  • How people analytics team structures changed
  • What role does automation play in people analytics processes?

[12:46 - 22:02] Near future predictions for people analytics

  • HR technology has reached a critical mass and the industry will be refocusing on people
  • Generative AI could break some of our expectations around new technology adoption

[22:03 - 29:55] Distant future predictions for people analytics

  • People analytics will make a shift back toward qualitative data analytics
  • Using people analytics to build a company story

[29:56 - 31:37] Closing

  • Thanks for listening!

Quotes:

“You’ve got to actually give HR the investment. [It needs to be data-driven], like every other function in the business.”

“A lot of times [HR] has to overcome the fact that there are multiple data sources, and they’re not always wrong, but they have to add up to a story.”
Resources:
One Model
Contact:
Richard's LinkedIn
David's LinkedIn
Podcast Manger: Karissa HarrisEmail us!Production by Affogato Media

Next Episode

undefined - Yasmine Mustafa - Workplace Violence and Its Effect on HR

Yasmine Mustafa - Workplace Violence and Its Effect on HR

Send us a text

Summary:

Yasmine Mustafa is the Co-founder and CEO of ROAR, the designers of a wearable panic button solution that uses proprietary technology to increase workplace safety across organizations and prevent workplace violence.

In this episode, Yasmine talks about workplace violence, why it seems to be worse today than ever, and how it affects HR.

Chapters:

[0:00 - 7:56] Introduction

  • Welcome, Yasmine!
  • Today’s Topic: Workplace Violence and Its Effect on HR

[7:57 - 15:09] What is workplace violence and why is it so prevalent right now?

  • Increased day-to-day stressors and pressure lead to more issues in the workplace
  • Fewer social interactions and the prevalence of technology have made us more apathetic

[15:10 - 23:28] What impact does workplace violence have on HR

  • Workers who experience workplace violence (either firsthand or secondhand) are more likely to leave their job
  • Investing in the mental health of all employees is vastly beneficial

[23:29 - 28:25] How do you train people to react to real scenarios instead of standing by?

  • De-escalation training goes a long way in building employee confidence and decreasing uncertainty in violent situations
  • Training can help people recognize when others are in distress or in emergency situations

[28:29 - 31:04] Final Thoughts & Closing

  • Public funding
  • Thanks for listening!

Quotes:

“[Workplace violence] is the worst it’s ever been, and a lot of it is due to not having supported systems for underlying social issues.”

“As soon as there’s a workplace violence incident, the entire morale of an organization plummets.”
Resources:
ROAR
HR.com Article on Workplace Safety
Pollack Peacebuilding
Crisis Prevention Institute
Contact:
Yasmine's LinkedIn
David's LinkedIn
Podcast Manger: Karissa HarrisEmail us!Production by Affogato Media

HR Data Labs podcast - Kathi Enderes - HR Tech 2023 - How AI Enables Skills-Based Workforce Planning

Transcript

Announcer

Here's an experiment for you. Take passionate experts in human resource technology. Invite cross industry experts from inside and outside HR. Mix in what's happening in people analytics today. Give them the technology to connect, hit record, pour their discussions into a beaker, mix thoroughly. And voila, you get the HR Data Labs podcast, where we explore the impact of data and analytics to your business. We may get passionate and even irreverent

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