Digital Human Resources: The Haves & Will-Not

Digital Human Resources: The Haves & Will-Not

Finding gaps in the readiness of a candidate for the next role can be done by using AI. Imagine using an AI platform to let the system analyze your readiness for the role you wish to take. Then provides a recommendation of the way to build the gap. There are already AI driven coaching tools that can be used to change the talent management process in organizations. Artificial Intelligence lies at the intersection of big data, machine learning and robotics. HR can leverage AI to truly impact business outcomes.

Is engagement the cause or the effect

If someone has been hired to do a job, shouldn’t they just do their job? While a lot of employees will do the bare minimum they need to do to keep their jobs going, there is a small percentage of employees who hit the ball out of the park. They file for patents, contribute more and are evangelists for the brand. According to Bain and Company, companies like Apple, Netflix, Google, and Dell are 40% more productive than the average company. That amounts to a disproportionate impact on the bottom line.

Building Leadership Development Programs

Building Leadership Development Programs

BCG estimates more than 4,000 companies with formal corporate universities across the world. The former Chief Learning Officer (CLO) of BBC, Nigel Paine’s new book explores what it means to choose a high-investment option like GE did. What makes Crotonville relevant even today? If a company wants to invest in leadership development is it necessary for them to invest millions of dollars and build a clone of Crotonville? Is that the only approach to leadership development?

What does it mean to live in Perpetual Beta

What does it mean to live in Perpetual Beta

How do I explain Perpetual Beta? Hmm… let me ask you a question. What would you do if you were the CEO of a rapidly growing business worth $30 billion? The business operates in every country in the world except Iran, Syria, Sudan, Crimea and North Korea. Every other celebrity is among the 100 million customers who gushes about the service and that leads to more business and more growth. […]

Let 2017 be about Digital Mindsets – not HR Tech

Let 2017 be about Digital Mindsets – not HR Tech

Firstly, this year, let HR take a boundary-less view of data. Go beyond structured data to unstructured data sources. Throw in data from all sources till you cannot use Excel to do analysis any more. You have to invest in Artificial Intelligence.

The Digital Tsunami: HR

The Digital Tsunami: HR

Will HR be replaced by chatbots and machines? The answer is nuanced. The machines are not good at understanding shades of emotions, sarcasm, humor etc. Machines are good at doing “mindless” repetitive tasks. These are the tasks that humans can do without giving it any thought. Routine, repetitive tasks that machines can be trained to do more efficiently than humans will be done by machines. But jobs that depend on social skills and involve complex human interactions will stay with humans. Those who learn to work WITH machines will thrive. HR will certainly need to learn to work with robots who will be part of every workforce. But that is not all. HR will need to be reimagined…

Can Technology Help Talent Planning

Can Technology Help Talent Planning

Can industry bodies like CII and NASSCOM play a different role in building a common talent pool? What if every fresh entrant into the workforce is employed not by an organization but by an industry body (eg Nasscom employs all software engineers who have base level and undifferentiated skills). The member companies can farm out the work to be done by this pool. Think of it like work being allocated to a secretarial pool. What if…?