No-Code AI: What Is It & Why Does It Matter?

By Assaf Egozi on May 18, 2022

What Is No-Code AI and Why Is It Important?

Today, most enterprises are considering how they can become more data-driven and better leverage the huge volumes of data available to them to make stronger decisions. Key to this is how to use Artificial Intelligence (AI) and machine learning (ML) to facilitate this. Reports from NewVantage Partners and Appian show that executives are positive about the potential impacts of AI and are engaged in identifying use cases and potential AI solutions. 

However, while AI and ML will fundamentally change many business processes, harnessing the power of AI can be slow, complicated and costly, requiring a data science team to build it and data scientists to use it. 

The development of No-Code AI solutions such as Noogata’s No-Code AI platform are turning this process on its head, empowering organizations and users to more quickly and easily harness AI. No-Code AI puts the use of AI, and the benefits it brings, directly into the hands of the users. It is a user-friendly, often highly visual, code-free tool that can be integrated with existing business functions for immediate deployment. Unlike bespoke AI solutions or code generated by internal or external data science teams, it can be integrated and implemented quickly, easily, and is often more cost effective. 

Benefits of No-Code AI

Many companies own or can access huge volumes of data that can, in theory, provide answers to any potential business problem. The challenge is figuring out where to start. No-Code AI solutions offer an immediate, cost-effective option with some very specific benefits.


  1. No-Code AI empowers business users.
    No-Code AI has a direct and immediate benefit for the users who need it most, removing the need for a specialist data science team that acts as an additional layer in decision making and that requires specialized skills. Instead, No-Code AI is specifically designed to require little to no specific AI or technology expertise – rather it allows business users to directly query their own data and extract immediate, usable answers that can be enhanced with their own expertise. 
    Noogata’s No-Code AI platform is specifically designed for e-commerce firms, offering sales, marketing and product teams immediate access to insights on the success of their own and competitors’ products.                                                                                                                                                      
  2. No-Code AI is quicker, cheaper and more agile.
    The main barrier to entry for enterprises wanting to harness AI is the time, cost, and cumbersome nature of identifying, articulating, designing and building the appropriate AI solution. Organizations that are looking to build their own in-house AI solutions are looking at months, if not years, of development, data cleansing, data normalization, and identifying enrichment sources. Alternatively, they could implement a No-Code AI solution that works with their existing data sets and that provides access to analysis tools for comparison data sets. [Identifying such use cases is explored in another of our blogs here.]
    An e-commerce organization looking to compare search term success for its own products vs its competitors could very quickly access Noogata’s e-commerce library that works with existing business processes and tools.                                                                                                                                                                                           
  3. No-Code AI reduces the friction of AI implementation.
    Not only does it require specialist expertise, but this expertise must be enhanced to incorporate the skills, knowledge, and context of the teams for whom it is being built. Transferring skills and experience often generates friction through processes such as identifying and accessing data sources or reinventing processes that consequently, require training users to adapt to them. No-Code AI removes this by providing easy-to-use tools that are designed by specialists within the world of the use cases it solves for.
    For many e-commerce firms, data-savvy individuals are often business analysts within the organizations that are not technically equipped with the skills to develop their own AI. On the other hand, those that do have technical expertise, cannot fully drive business functions. Noogata’s e-commerce platform has collaboratively been developed with AI specialists and business specialists to reduce the friction of implementing AI solutions for our clients.                                                                                                                                                                                                                                             
  4. ROI for No-Code AI is much higher than for bespoke solutions.
    No-Code AI solutions are applicable throughout the enterprise, thus optimizing investments in R&D and implementing time and cost savings. No-Code AI solutions are available immediately and offer a wide variety of use cases and functionality to enhance business decision making.
    Noogata’s No-Code AI solution can be implemented instantly, offering immediate benefits and enhancing business decisions from Day 1.

The Difference Between No-Code AI and AutoML 

For many people, automated machine learning (AutoML) and No-Code AI appear similar, but their implementation and use are drastically different. 

AutoML uses machine learning (ML) to automate AI models and speed up the development of AI and ML within organizations. But to do this, they require specialist data science teams and, like other AI solutions, they can be slow and difficult to implement. 

While AutoML may well help data scientists to develop models more quickly, it doesn’t help to put these tools immediately into the hands of the business users. In fact, it requires more input and support from business users to facilitate the fine tuning required to adapt these models for specific business user cases. 

Contrast this with No-Code AI which can be implemented with little or no delay and is specifically designed to solve existing and known use cases for the business analysts who need it the most. 

How Noogata Allows You to Leverage No-Code AI

Noogata’s No-Code AI platform provides a range of tools that enhance and speed up decision making for sales, marketing and product teams by leveraging the power of AI and a combination of proprietary and public data sets. Offered as a set of modular AI blocks that act as AI applications, they are designed to answer specific e-commerce questions.


Assaf Egozi
CEO and Co-Founder
Assaf Egozi, CEO and Co-Founder of Noogata, is passionate about the potential for AI to radically improve business results and has dedicated much of his career to forging a relationship between deep data intelligence and business growth. He has a deep understanding of business strategy and operations honed over 10 years at McKinsey and Company. Assaf has an MBA with high distinction from Harvard Business School and a BSc. in Economics and Computer Science from Tel Aviv University, where he graduated magna cum laude.

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