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In this podcast, we explore the benefits and challenges of using low code and no code platforms for citizen development and data science. We discuss how these platforms can help automate workflows and even perform data science tasks without the need for writing code. We also address the potential risks to data security and compliance, and offer solutions to mitigate these risks. Moreover, we explore the use of local no code platforms to automate repetitive tasks and teach robots to perform actions. We highlight the importance of adopting these practices to remain competitive and avoid being left behind by competitors who have already adopted these platforms. Finally, we discuss the importance of optimizing for AI to remain competitive in the market.
By Enrique AcunaIn this podcast, we explore the benefits and challenges of using low code and no code platforms for citizen development and data science. We discuss how these platforms can help automate workflows and even perform data science tasks without the need for writing code. We also address the potential risks to data security and compliance, and offer solutions to mitigate these risks. Moreover, we explore the use of local no code platforms to automate repetitive tasks and teach robots to perform actions. We highlight the importance of adopting these practices to remain competitive and avoid being left behind by competitors who have already adopted these platforms. Finally, we discuss the importance of optimizing for AI to remain competitive in the market.