Why Enterprises Need AI Democratization

Why Enterprises Need AI Democratization-01

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:

  • 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 Mishra is a Business News Reporter with OnDot Media. She is a journalism graduate with 5+ years of experience in journalism and mass communication. Previously Swapnil has worked with media outlets like NewsX, MSN, and News24.