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920160930 – Guest Speakers Needed on 05/16/2017 for San Francisco, California for PAW Workforce San Francisco – Free Speaker Bureau Expert Wanted

GuestSpeakersWanted

05/16/2017 through 05/17/21017
San Francisco Marriott Marquis
San Francisco, California
PAW Workforce San Francisco


Preferred Meeting Topics:
Business, Communications, Leadership, Human Resources, Workforce

Booking Deadline for Speaker: 09/30/2016

Demographic Mix of the Audience:
50% Male
50% Female

Age Group(s) Expected in Audience:
20-60

Number of Attendees Expected
250-300+

Special Details About This Meeting/Audience:

Predictive Analytics World for Workforce (PAW Workforce) gathers a powerhouse of the most innovative workforce data scientists, employers, and vendors pioneering in the predictive analytics domain to solve these (and more) workforce optimization challenges.

PAW Workforce 2017 Dates This conference will be held May 14-18, 2017 at the Marriott Marquis Hotel in San Francisco, CA.

PAW Workforce is the premier predictive workforce conference for workforce data scientists, workforce / HR analysts, and business leaders. This global, cross-industry event highlights predictive solutions to today’s greatest challenges in business optimization – workforce performance and attrition.

PAW Workforce 2017 will discuss case studies and brilliant workforce solutions in the following areas:

  • Predictive career pathing for optimal succession planning
  • Predicting individual training success
  • Predicting flight risk pre- and post- hire to reduce employee attrition
  • Optimizing the workforce planning process using predictive analytics
  • Using a Learning Recommendation Engine to increase retail performance
  • Shifting the curve of sales performance with predictive analytics
  • Reducing employee attrition
  • The State of Predictive Analytics for Workforce Enterprise Applications
  • People Analytics: Using Wearables and Big Data to Reinvent Management
  • Should HR be bold with predictive analytics projects?
  • The “creepy side” of predictive workforce analytics
  • What workforce analytics can learn from the more analytically mature customer analytics domain
  • How predictive analytics can help to hire top workforce data scientists
  • Identifying top and bottom performers during the recruiting process
  • The importance of using survival analytics to calculate employee churn
  • Why role cost modeling is a key element of predictive workforce projects
  • Developing workforce analytics with incomplete and missing data
  • Busting predictive workforce analytics myths


Scope of the Overall Organization:
Local, National

Name of Meeting Organizer:
Eric Siegel

>> Click to Contact Eric Siegel >>

>> Click to Visit Speaker Submission Page >>

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