Page 259 - AI Ver 3.0 class 10_Flipbook
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• No-Code AI simplifies the process by providing pre-built templates and automated features, which saves a lot
of time.
• No-Code AI platforms are designed with user-friendly interfaces, often using drag-and-drop functionality that
anyone can use.
• No-Code AI tools allow users to get instant predictions or insights.
• With No-Code tools, more people can experiment with AI and create new ideas or solutions.
• Many small businesses and startups can’t afford to hire AI experts. No-Code AI makes it possible for them to
implement AI-driven solutions—like predicting customer behaviour or analysing feedback—without the high
costs or steep learning curves.
• In No-Code AI since we do not need to code, we won’t have any code errors.
Who Can Use No-Code AI?
No-Code AI democratizes artificial intelligence, making it accessible to professionals across various
industries. For,
• non-technical professionals like doctors, architects, musicians, and teachers can leverage AI without programming
expertise.
• business analysts and entrepreneurs that can use AI-powered insights for data-driven decision-making.
• educators and students that can experiment with AI applications in learning environments.
As a result, No-Code AI empowers individuals and organisations across diverse industries and skill levels to leverage
AI for their specific needs.
Let’s look at a scenario to understand who can use No-Code AI.
Problem
Megha is a nutrition planner for a large aquarium that houses a variety of marine species. Her role involves
managing the costs of purchasing fish, seafood, and algae to ensure the animals receive a balanced and nutritious
diet. With the rising costs of marine food supplies, it is becoming increasingly challenging for the aquarium to
maintain its budget while providing high-quality nutrition for its marine life. The aquarium’s finance team needs
accurate predictions about future price increases so they can approach government bodies or corporate sponsors
for additional funding. To achieve this, Megha needs a way to predict the future prices of marine food supplies,
but she has no experience in coding or AI.
Solution
Megha discovers a No-Code AI platform that allows her to create an AI model to predict the prices of fish,
seafood, and algae without writing a single line of code. She can use popular No-Code tools like Google AutoML
or Microsoft Power BI to build a price prediction model tailored to her needs. Emma can upload her data, train the
model, and generate accurate forecasts in just a few steps.
From this scenario, we can conclude that you don’t need coding expertise to build an AI model. No-Code AI tools
empower individuals like Megha, regardless of their technical background, to leverage AI for solving real-world
problems.
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