Talent Management

Welcoming new member Marcia Spitalney Nuffer

Umbrex is pleased to welcome Marcia Spitalney Nuffer with BlueShor.  Marcia Nuffer spent 21 years at McKinsey. For roughly the first half, Marcia was a strategy consultant focused on helping organizations realize their business goals through organizational change and leadership development. In 2003, Marcia became McKinsey’s Chief Learning Officer. In this role, Marcia was responsible for building one of the most lauded global leadership development programs in the world and leading strategic people initiatives for the firm.

Today, Marcia has her own consulting firm, BlueShor, focusing on leadership and talent development, executive coaching, and people strategy. While serving companies and nonprofits of any size, Marcia has a particular interest in manager development at high growth companies.

Marcia is happy to collaborate on projects related to leadership and talent development – both strategically and programmatically – and talent strategy. She is also open to executive and team coaching opportunities. While Marcia’s major focus is the Atlanta area, her long-term global experience and the possibilities of remote work enable her to collaborate internationally as well.

The Pros and Cons of the Recruitment Bots

 

Ben Dattner co wrote this article for Harvard Business Review on the issue of building ethical AI for talent management. 

Artificial intelligence has disrupted every area of our lives — from the curated shopping experiences we’ve come to expect from companies like Amazon and Alibaba to the personalized recommendations that channels like YouTube and Netflix use to market their latest content. But, when it comes to the workplace, in many ways, AI is still in its infancy. This is particularly true when we consider the ways it is beginning to change talent management. To use a familiar analogy: AI at work is in the dial-up mode. The 5G WiFi phase has yet to arrive, but we have no doubt that it will.

 

Areas covered in this article include:

  • Training data sets
  • Efficient predictions on a candidate
  • Bias and creating homogeneity in organizations

 

Read the full article, Building Ethical AI for Talent Management, on the Harvard Business Review.