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Democratization of Artificial Intelligence: All You Need to Know

When it comes to Artificial Intelligence and its applications for businesses, one of the most talked-about topics in recent years has been the democratization of AI. The idea of making AI technologies easily available to all businesses and individuals at an affordable cost.

However, unlike the concept of Open AI which has gained a lot of attention, the progress toward making AI available to all, has been somewhat limited.

In this blog, we explore the idea of AI democratization, including why it isn’t yet accessible to everyone and how it’ll benefit all kinds of businesses, and more.

What is AI Democratization, and Why is AI not Accessible to All Currently?

Democratization is the idea that offering the benefits and the opportunities of a particular resource to everyone. Along similar lines, the democratization of Artificial Intelligence essentially means making AI accessible for everyone, including organizations of various sizes and its employees, to make predictions, learn & improve, and take specific actions using this intelligence.

However, data suggests that at present, merely 20% of organizations are using AI technologies in their day-to-day tasks/operations. The resistance that’s preventing companies from adopting AI technology can be attributed to three main factors:

A) Lack of Knowledge Among the General Populace

The widespread adoption of AI requires well-informed citizens to understand and implement the technology and have an encompassing and ongoing debate as to its benefits. It is important to be able to develop solutions that can maximize the advantages of AI technology while mitigating the potential harms, which are currently lacking for AI. 

Without a robust understanding of the history and components of AI, it’ll be very difficult to consider the impact of various categories and to share well-informed opinions on how to mitigate the negative effects.

B) The Real Power of Current AI Technologies is Very Limited

Another reason why AI is not yet more mainstream is that the true power of AI currently remains very limited, making it hard for organizations with needs outside of their existing use cases to apply AI in their respective organizations.

C) Lack of Large, Publicly Available Datasets Makes it Difficult to Adopt AI 

For all organizations to have access to AI technologies, everyone in the field must have easy access to the volume of data that is currently available only to the big players. There is a need to create a more organized way to store and manage public data and implement AI solutions in data-rich but technology-challenged organizations.

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Why does AI Need To Be Democratized?

The democratization of AI can lead to several benefits, It reduces entry barriers for both individuals and organizations to start experimenting with AI. It allows them to leverage publicly available data/algorithms to start experimenting with building AI models with little or no financial investment.

  1. There’s an overall reduction in the cost of building AI solutions as a wider group of programmers/users start using and sharing the data, tools, and algorithms to build more powerful AI solutions.
  2. Time spent in talent development is reduced due to the availability of various open-source deep learning frameworks which contributes to an increasing number of talented deep learning experts.

Who Will Benefit from the Democratization of AI?

The democratization of AI expands the several benefits and possibilities of what organizations, businesses, individuals, and governments can accomplish and achieve. For instance, various datasets, research papers, and models related to the ongoing fight against COVID-19 have been open-sourced, thus enabling a much wider global community to collaborate and take advantage of it. 

The key here is to focus on identifying what exactly needs to be democratized (data visualization, model development, etc.), who will be the users (beginners or experts), and how organizations can maximize the benefits while managing potential risks with proper training and governance.

In Conclusion

While there’s a growing demand for the democratization of AI from various spectrums, at Kami Vision specifically, our vision is to democratize AI by forging partnerships with those we once considered competitors.

We believe in extending the benefits of AI technologies to various small-mid size enterprises by collaborating as partners with IP camera OEMs, thus giving us the flexibility and opportunity to address multiple verticals such as healthcare, security, industrial automation, retail, and more.

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