Page 9 - QDigitz

Q!Digitz Vol 1 Aug 2019

Cooking an This is possible, as we like few abilities and
characteristics across the regions. Does this mean
Arti cial the globally successful products are successful in
every region at the same level, and are they better

Intelligence (A.I) successful than regional products? The answer is
No. The regional variation, culture variation, likings
all still has in uence but still there are something
Recipe for Client common always. This is the reason I feel A. I recipe
is better suited for making the service for client
Delight delight.

There is a huge amount of client satisfaction data
available in major companies. It even spreads
across years. One of the important expectations
from any quality analyst is to oversee how the
product or service is realized by the client. And
what opinions do they carry about the service
provider? In many organizations, the client
satisfaction score is still a surprise result, and then
re ghting or appreciation chain starts. They store
the data for overall baselining of how many satis ed
clients they have. However, rarely we apply can we I believe the one who reads has a basic
predict what the client will feel and rate our understanding of the Connectivity between A. I vs
product/service based on existing data. Machine Learning vs Deep Learning. In case if you
are not, then go through the youtube video

Hold on, every client is unique and every point of https://youtu.be/WSbgixdC9g8. When a project
contact of the client can be di erent; This is an starts with a client, by knowing the key drivers, we
invalid argument. I too agree with the view, they are should be able to tell if we will achieve client
unique. However, among the uniqueness also there delight or we will fall short of it. This would help
can also be a pattern and common likings and us follow the drivers and take actions that can
appreciations. Let's take few common examples, better o in handling it. As our intention is to
across globe people have di erent behavior, know the drivers and result achievement, going
culture, likings, values but still there are books ahead with deep learning is not a choice.
which sell across world, there are services and Food
sold across, there are movies which are making
maximum revenue irrespective of regions.

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