Why building corporate democracies still matter
In this age of AI, creating an employee-first culture may seem counter-intuitive. But not if you believe in the primacy of building human relationships at the workplace
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The man and the machine
August 19, 2019: A roundup of news and perspectives on disruptive technology from around the world. In this issue: AI-assisted app development, solar roads, biofuels, micro ATMs and brain-AI integration
For a platform, how much control is too much control?
Commercial platforms that grew on the internet—from Facebook to Twitter, Airbnb to Oyo, Uber to Ola, Swiggy to Zomato—are struggling to find a balance
The measured, routine life
Some think all things must be quantified and managed. Others think of it as ridiculous. But the truth has nuances
The lessons of history
August 30, 2019: A roundup of news and perspectives on disruptive technology from around the world. In this issue: Aadhaar-based eKYC, facial recognition, intuition and rationality, US-China tech war, and platform responsibility
Growth forces you to take risks that are not always sensible
Ecosystems have consumers with problems, authorities seeking to facilitate resolutions, and entrepreneurs who see growth in attempting to resolve it. An interview with Anand Deshpande and Amit Ranjan
The walls of innovation
It requires sustained effort to move innovation from a poster on the wall to conversation and action in the hall
Finding the CEO in you
Elena L. Botelho, bestselling author of ‘The CEO Next Door’ and partner at leadership advisory firm ghSMART, explains why most people misunderstand what it takes to get the corner office
Bosses need to be coaches in the new workplace
Insights from Jim Clifton and Jim Harter’s book ‘It’s the Manager’. The book is based on the largest global study by Gallup on the future of work
The long play
September 8, 2019: A roundup of news and perspectives on disruptive technology from around the world. In this issue: Chandrayaan 2, Jio’s business plan, deepfakes, artificial intelligence, and the problem with Big Data