Generative AI (GenAI) has the potential to automate a broad range of tasks, which boosts productivity, offers new opportunities, and reduces costs as it does not require technical skills to use generative AI tools or software and is widely available. Tech visionaries believe that GenAI will be accessible to workers worldwide to access information and skills across broader roles and business functions. This makes generative AI one of the most disruptive trends of this decade. According to Gartner, by 2026, more than 80% of companies will have employed generative AI APIs and models and implemented GenAI-enabled apps in production environments, compared to less than 5% in 2023.
Three Types of AI Democratizations
Artificial intelligence is no longer confined to a circle of IT professionals and enthusiasts. However, with the help of data analysis and machine learning services, a large number of employees can help in AI development, which enables anyone to write and share code for specific projects.
Here are three types of AI democratization that can be used by users and organizations to create AI models:
Data Democratization
Since AI requires a lot of data learning and training, data democratization makes it easier for users to bring the data into data warehouses and data lakes, which allows them to freely access the data for trying out AI tools. One example of data democratization is Kaggle, which offers numerous open-source datasets where users can freely access any data and utilize it on their model.
Computing Democratization
Computing democratization makes computing resources, tools, and infrastructure accessible and available to a broader audience. Numerous cloud computing platforms, like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), allow users to access computing resources on demand. One prominent example of computing democratization infrastructure is Google Colab, which provides high-computing graphics processing units (GPUs) for free. With just a Gmail account, anyone can use Colab’s hardware and create AI models for free.
Algorithm Democratization
Algorithm democratization makes AI algorithms accessible to everyone without the need for coding expertise. Tools like Apple CreateML, Google AutoML, and Microsoft Lobe allow users to use AI without expert skills. Another advantage of algorithm democratization is the sharing of newly developed algorithms through research.
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