Page 208 - Building Big Data Applications

208 Building Big Data Applications

Getting the Best Talent
Once you have quality data you need to understand the importance of recruit-
ing and retaining the best talent in the industry. Since AI is relatively new, the
labor market has not matured yet. Thus, you have to be patient in your search
for the right talent.
Two thirds of the current AI decision makers present within the market struggle
with acquiring the right AI talent for their firm. With hiring done, 83% of these
companies struggle with retaining their prized employees. The talent shortage
obviously goes beyond all technical flaws, as firms need a wide range of exper-
tise to handle AI systems. What is understood here is that traditional recruit-
ment practices are barely implementable, and that organizations need to look
for other options.
Access to Data
With the increasing rate of data regulations on the horizon, any organization
can easily end up on the wrong side of the law if proper measures are not
taken. The GDPR or the General Data Protection Regulation by the European
Union is one of the most advanced and up-to-date privacy policies for data at
the state level. Complying with such policies is mandatory, as noncompliance
can leave you in a dire situation.
Trust and Data Transparency
There is a trust deficit and the market for AI and analytics is not showing any
signs of decreasing over time. While the market has increased and progressed
by leaps and bounds, this trust deficit still stands as it is and is not showing any
signs of decreasing.

Strategies you can follow to start with AI

With the complications mentioned above, we most definitely will not leave you hanging
here. There are certain strategies you can follow for widespread AI implementation.
These include the following:
Create an AI Vision
Organizations that know what to expect from their AI campaign fare better than
those that have no idea about this technology and are just getting involved
because their competition has. An AI vision can also act as a list of objectives
for the future, so you can tally your end goals with what you planned out
before.
Build and Manage Customer Journey Centric Teams
The end goal or the mega vision behind AI is to improve customer experience
and add value to your offerings. To do this better, you can make customer
journey centric teams that follow customers throughout their journey and