Machine learning and Artificial intelligence are no more playgrounds for businesses only. These technologies are getting embedded in our day to day life. Business Leaders need to understand the impact they create and the value the users associate with it. As an instance consider AI Powered mobile phones, to be more precise ML powered mobile phones which can do tasks earlier meant for only big servers. New generation phones now come fitted with chips capable of running ML models.
Consider an employee of a construction company carrying a mobile phone capable of doing advanced design and architectural designs. For that matter consider the EPC company employee being able to create and high level CAD on his mobile. Machine Learning using Neural networks is being pushed to mobiles now. Google’s TensoFlow can be run on a mobile phone. Its Pixel2 will have a chip supporting production ML without access to servers.
The business Leaders need to do two things, firstly understand the machine learning concepts, principles and the usage. Secondly they need to visualise the business models and processes therein to manage future business with the AI & ML powered handset wielding employees. Future will be governed by ML powered businesses.
Ratings
Click on a star to rate it!
Rated 0 based on 0 user reviews
No votes so far! Be the first to rate this post.
R Jayaraman is a visiting faculty with the Operations, Supply Chain Management and Quantitative Methods (OSCMQM) department at SPJIMR and oversees the Capstone Projects across Executive Management Programmes. He holds a dual master’s degree in applied science from the University of British Columbia, Canada, and in management from the Indian Institute of Management, Ahmedabad.
“What’s in a name?” A discourse on brand naming
Read moreBehavioural aspects of corporate disclosures: Why do some Indian firms disclose more than others?
Read moreShell PLC: a green light to continue or a signal to go green?
Read moreWhen family mindsets rewrite the rules for women leaders
Read moreWhen leadership speaks: A case about identity, bias and voice
Read moreOrganisational responses to hybrid work—Rethinking culture and civility in India
Read moreWhen Amazon arrived late to India’s quick commerce party
Read moreReimagining travel through AI: Making every journey smarter and more personal
Read moreMumbai’s pollution trilemma: When clean air meets street food culture
Read more
