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.
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.
The new world of work is still run with old laws. Uber, which started in 2009, now has more than 7,00,000 active drivers in the United States alone, which is nearly three times the number of taxi drivers and chauffeurs in the country in 2014. Gig workers have flexibility but no paid sick leave, no time off and certainly no pension. The government may need to legislate the labor platforms where there is an urgent need redefine labor laws. The laws must not stifle innovation but must certainly prevent exploitation. It is time for new rules.
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.
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.
These yellow Post-It notes are an essential part of my life. I have used these yellow thingies to write welcome notes and bid goodbye. To share a word of appreciation for my team members. To say thank you for great work done. Several appraisals and many bosses later, my team members still have the fading thank you notes and cartoons on their desk.
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?
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. […]
The podcast explores more provocative questions. With all the data that we are giving freely to Facebook and Amazon etc, one day they will be able to predict our tastes better than loved ones and maybe even better than what we can. What happens then?
We have to look at the issue of job losses not from one country’s perspective but from multiple perspectives. If the technology developed in say US, leads to job losses of factory in Bangladesh, who should compensate whom and by how much? Who will determine the level of compensation? How will AI impact the way schools are designed and structured? And of course, what happens when techno-religions gather more followers?