Book Review: How We Learn

Book Review: How We Learn

Every family will have that one cousin who does everything right. In my case, that cousin had a study routine that she followed every single day throughout the year. She had that calendar pasted on the wall and her study hours were allocated. Unlike the rest of us she never put the radio on while she had her nose buried in the books. The rest of us did. When she […]

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.

The Data Divide—And How to Cross It

The Data Divide—And How to Cross It

Data can be leveraged by different people in different specialties to solve real-world problems. A neurogeneticist is working in an e-commerce start-up to solve the problem of how to plan a delivery route across the busiest parts of the city. He is building his algorithm to mimic the way human genes convey information. A competitor, meanwhile, has hired a nuclear physicist who worked in the Large Hadron Collider to solve the same problem. Both are approaching the challenge as a data problem, after all.

United We Fall

United We Fall

Every incident is a learning and at the same time an opportunity to prove oneself. Following the United Airlines fiasco, the carrier had a golden opportunity to display the right leadership attitude, which it unfortunately failed to take advantage of. So what was the missed opportunity?

Make Sure Your Resume Survives The Six Seconds Test

Make Sure Your Resume Survives The Six Seconds Test

Just as headlines act as filters that help us make quick decisions about which news items to spend time on, the summary of your resumé should catch the attention of a recruiter almost instantly. Recruiters must scan quickly through hundreds of resumes every day. So if your summary isn’t powerful, chances are you won’t make it into the Yes basket. You have to survive the crucial six seconds test.

Leapfrogging

Leapfrogging

I was catching up with an erstwhile colleague, “K”, who was smarting from being passed over in the office. He had expected the big corner office and the perks that go with it. Instead life offered him a googly. Someone his junior had been handpicked by the board to head the function. The tables had been turned. “K” would now report to someone who had once been a reportee in […]

Can we teach people the way we teach machines?

Can we teach people the way we teach machines?

Affectiva has gathered more than a billion data points to learn how human emotions differ based on the device, the content and of course, the individual viewer. These data points are then analyzed based on inputs from psychologists and experts. The machine tries to identify emotions in real time. The human experts coach the machine and tweak its algorithm and help it improve. Why don’t we teach humans with the same rigor.

The secret of feeling motivated at work

The secret of feeling motivated at work

Mastery is an endless pathway that you can use to stay motivated regardless of the work you do. A barista could build further expertise by learning about different recipes of coffee. Or about the rituals around coffee in different parts of the world. And become a storyteller who tells a new story involving coffee to a customer. Maybe you could have storytelling sessions about all the interesting people who love coffee. The day you can discover that the opportunities for mastery in your field, whatever that might be, is really endless, you will stop dreading the beginning of the work week.

Who is your disruptor?

Who is your disruptor?

It may be time to heed the advice of Sun Tzu, “If you know the enemy and know yourself, you need not fear the result of a hundred battles. If you know yourself but not the enemy, for every victory gained you will also suffer a defeat. If you know neither the enemy nor yourself, you will succumb in every battle.” That advice certainly holds true in the digital age.

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 tech sector is disappearing

The tech sector is disappearing

Technology is becoming like electricity — it is invisible. Its presence does not draw attention any more, but it periodically strikes like lightning, leaving behind a trail of devastation. Unable to keep pace with fast fashion and the consumers’ preference to shop online, The Limited shut down 250 stores in 2017. 460 outlets of Sports Authority went out of business in 2016. PacSun, Aeropostale, and American Apparel filed for bankruptcy in 2016. Macy’s has just slashed 10,000 jobs and shut 68 stores. All sectors are tech sectors. All jobs are tech jobs.

HR has an expertise problem to fix

HR has an expertise problem to fix

HR needs to go beyond its role as a “touchy-feely” only function. The HR team must be able to design an amazing employment experience based on research, evidence and science. The real role of HR lies in shaping the culture of the organization, finding ways to attract and develop top talent and to be a futurist for the organization. Being able to design the right experience is the real value of the function. That needs expertise.