Page 11 - Digitaltech Media May Edition 2021

TRENDING STORY

" I n I n d i a , s o m e Most of the smaller
companies believe that companies struggle to

the biggest AI adoption nd good AI talent that
challenge is that rms can form their in-house
think that AI has no role AI team," explains
to play in their corporate Sudhir Goel, Chief

culture, while others Business Ofcer, Acer
think it is because there India.
is not enough quality
SUDHIR GOEL
data.
Chief Business Ofcer,

Acer India

Key challenges hindering the adoption of AI in India include:

The quality of available data, as AI systems require good quality data inputs.

A shortage of talent for roles such as data scientists. India currently has very few researchers in areas
such as research production and machine learning.

Maintaining algorithmic transparency. While Indian organizations may be the custodians of massive

amounts of data, unlocking and connecting that information is still a challenge.

The availability of open-source data is crucial for any country to accelerate AI innovation and adoption.
It is crucial to have a cloud computing infrastructure to have seamless availability of data.

May 2021