As technology improves its ability to understand human speech and intentions, businesses are on the cusp of a dramatic shift in the way humans interact with the digital universe.

1. 4/11/22, 3:08 PM Why Enterprises Need AI Democratization
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Why Enterprises Need AI Democratization
As technology improves its ability to understand human speech and intentions, businesses are on
the cusp of a dramatic shift in the way humans interact with the digital universe.
Along with the analytical and operational benefits that Artificial Intelligence (AI) provides for
businesses, another fundamental change occurs. AI will most likely replace graphical user and even
command line interfaces, which require a fair amount of mastery. It will need a more conversational
approach in which operators simply state what they want, and the system understands and responds,
using techniques such as natural language processing (NLP) and neural networking.
More AI power to the people
This represents a significant opportunity for the enterprise to democratize AI across the workforce.
While this shows the potential for a dramatic increase in worker productivity, it also carries a risk.
Concentrating a lot of power in the hands of few will result in unintended consequences, either
accidentally or deliberately.
In an ideal world, democratized AI will one day be accepted as the norm for interacting with the data
universe. With little to no involvement from IT, digital assets will be available on demand. This
enables all aspects of the enterprise – including IT, which will continue to be a critical component of
the business model – to focus on more strategic objectives rather than becoming bogged down by
short-term, ad-hoc requests. This, in turn, should increase the value of human and digital resources
by emphasizing data-driven decision-making and innovation
Also Read: What AI Trends Will Give Business a Competitive Edge
To achieve this, businesses should focus on two critical initiatives:
By Swapnil Miahra - April 8, 2022
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2. 4/11/22, 3:08 PM Why Enterprises Need AI Democratization
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Improve the effectiveness of the human-to-AI interface: This does not necessarily imply a more
conversational system but rather one that can augment human work via multiple communication
channels.
Integrate a range of skill sets: One of the primary benefits of democratization is that it
encourages collaboration. While AI has the potential to improve communication across diverse
skill sets and disciplines, this must be accompanied by a cultural shift, not a technological one.
This will require the development of capabilities in both data and AI engineering and the adoption of
low-code/no-code tools and apps that enable users to customize their interactions with the data
environment.
Confusion over data
However, as with any other transition, democratization is not without difficulties. One of the primary
impediments is the disorganized state of data in the majority of organizations. With so much siloed,
multi-format architecture still in use, obtaining a comprehensive view of data is challenging. This
impedes AI’s ability to obtain a complete version of the truth. The solution to this problem requires
data fabrics and updated governance.
Broad democratization will also require an open platform capable of supporting a diverse range of
skills and processes. Even then, users will need to learn how to use this valuable tool most
effectively – and it begins with properly defining the problems they wish to solve.
Since the dawn of the computing era, even the savviest users have struggled with the technology’s
complexity. Historically, the goal has been to teach humans to comprehend and interact with the
digital world on its terms. We may finally see some reciprocity from our machines as they learn how
to interact with us as a result of democratization.
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Swapnil Miahra
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