Posts

Showing posts with the label skils

Readers Choice

Navigating the Unknown: Leadership in an Era of Uncertainty

-
Image
 Leading through the mists of uncertainty can feel formidable; yet, it unveils a chance to display resilience, adaptability, and visionary leadership. Here are a tapestry of strategies to amplify your prowess in traversing unpredictable realms: Embrace Flexibility and Adaptability Stay Agile: Nurture a malleable work atmosphere that empowers teams to swiftly shift and respond to emerging insights and changing tides. Iterative Planning: Break down long-term visions into smaller, manageable milestones that can be recalibrated as needed, allowing for continual reassessment and evolution. Communicate Transparently Honest Updates: Keep your team apprised of the current landscape, even when the news is less than favorable. Transparency begets trust and ensures collective alignment. Open Dialogue: Foster a space where team members feel emboldened to express their concerns and ideas, enriching insights and uplifting morale. Focus on What You Can Control Identify Priorities: Direct your ene...
Post a Comment
Read more

The future of work place: Human will work there ?

-
Image
The future of work looks grim for many people. A recent study from Forrester estimated that 10% of U.S. jobs would be automated this year, and another from McKinsey estimates that close to half of all U.S. jobs may be automated in the next decade.  The jobs that are likely to be automated are repetitive and routine. They range from reading X-rays (human radiologists may soon have much more limited roles), to truck driving, to stocking a warehouse. While much has been written about the sorts of jobs that are likely to be eliminated, another perspective that has not been examined in as much detail is to ask not which jobs will be eliminated but rather which aspects of surviving jobs will be replaced by machines.  For example, consider the job of being a physician: It is clear that diagnosing illnesses will soon (if not already) be accomplished better by machines than humans. Machine learning is spectacularly effective when data sets are available for training and testing, which ...
1 comment
Location: Cambridge, MA, USA
Read more