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As a busy HR professional, you already know that keeping employees engaged and motivated is crucial to retention and organizational success. The challenge is knowing what’s working (and what isn’t) so you can create the exceptional employee experience you need to drive these results.

The world of artificial intelligence (“AI”), big data, and predictive analytics presents great opportunities for employers to improve the quality and efficiency of their operations, including in employee selection procedures. Just as AI has revolutionized corporate marketing and advertising techniques, it promises to significantly change the future of employment decisions.  But failure to exercise proper precautions can present serious risk that carries severe legal consequences.

Let’s face it: Employee engagement programs often fail. In fact, they fail a disheartening amount of the time. The most common reason is because far too few people are doing what the whole initiative was designed for: using data to take effective action to help people be happier and more successful at work. There are big opportunities missed when managers lack the tools and accountability to act on insights from their people data. The unwanted results: employee attraction, performance, and retention suffer; speed and quality of decision-making are sub par; and people feel undervalued and disengaged. This is a critical problem worth solving, and many companies are turning their focus and efforts to doing just that — igniting meaningful, visible action.

Most large organizations have made strides to increase diversity in their workforces, and many implement diversity training to help their leaders and employees be more aware of the issues faced by a diverse workforce. But too often this training fails to achieve its desired results and can leave people feeling confused about what concrete steps they can take to benefit from an understanding of diversity; in essence they miss out on the more important aspect of Diversity & Inclusiveness initiatives -- the “inclusiveness” element of the equation.