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u Data  Visualisation:  No  Code AI  platforms  include  integrated  tools  for creating compelling  visual
             representations of data, which helps in interpretation and decision-making.
         u Automation: Automated workflows reduce repetitive tasks, allowing users to focus on analysis rather than
             data manipulation.

         u Innovation: No Code AI approach helps users create
             solutions  tailormade  to  their requirements, thus
             ushering in innovation.

         u Empowering Organisations: Most organisations
             increasingly  rely on  data-driven decision-making.
             Thus, No Code AI becomes a critical tool for achieving
             competitive  advantages and  addressing diverse
             business challenges in limited time and resources.

        Thus, No Code AI platforms empower individuals and organizations across various industries and skill levels to
        harness the potential of artificial intelligence for their specific needs.

        Limitations of No Code AI

        Like any other technology, No Code AI has its share of limitations. Some of these are:
         u Lack of Flexibility: Drag-and-drop elements are limited to fixed elements provided in the specific No Code
             tool. Hence, this offers a limited customisation capability and flexibility.
         u Automation Bias: Automation brings bias in decision making as its human tendency to accept suggestions
             from automated decision-making systems, disregarding contradictory though correct information.

         u Security Concerns: No Code platforms are accessible to everyone and if the modules on these platforms are
             hacked, they may lead to leak of sensitive and confidential data. Thus, the ease and convenience of these
             tools are best suited for organisations that don’t deal with sensitive data.

         u Limited Liability: Most No Code platforms provide limited control over their tools but accept limited liability
             over the use of these modules, thus raising questions of accountability.

        Difference between High Code, Low Code and No Code

        The three approaches to AI are characterized by varying levels of technical expertise, complexity, and flexibility.













        The main difference between these three are as follows:

                   High Code                       Low Code                               No Code
         Traditional programming with    Development using visual       Visual development with no coding
         extensive coding.               interfaces with some coding.   required.
         Requires advanced               Suitable for both developers   Designed for non-technical users.
         programming knowledge.          and business users.
         Slower due to complexity and    Faster development using       Fastest deployment with drag-and-drop
         detailed coding.                pre-built components.          features.

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