Wednesday, June 29, 2022

Emerging trends in AI in low-code/no-code platforms

According to Expert Market Research, the low-code development platform market is expected to grow at a CAGR of 25.26% by 2022-2027 to reach USD 64.56 billion by 2026. “While low-code application development is not new, digital disruptions, hyperautomation and the rise of the composable business have led to an influx of tools and growing demand,” said Fabrizio Biscotti, Gartner’s vice president of research.

Gartner forecasts that low-code application platforms (LCAPs) will be the largest segment of the low-code development technology market by 2022.

Below we look at emerging trends in no-code/low-code development:

No-code for developers

Yes, marketers and analysts will capitalize on no-code/low-code technology, but experts suggest that the biggest DevOps trend for 2022 will be software developers using low-code/no-code tools. Most developers think that such tools will help save time, reduce overload, increase productivity and not make them obsolete.

According to a report by IDC, 40% of low-code developers are full-time developers, while 33% are part-time developers. To wit, developers are no longer defined by their proficiency in coding, but by their ability to create digital solutions.

That said, low-code / no-code platforms are still in their infancy. Even the most popular tools require significant API expertise and JavaScript experience. Currently, products that do not require any coding are limited in functionality.

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retail games

While Amazon and Flipkart are dominant, competition in Indian e-commerce is fierce. For Indian retailers, no-code/low-code is the fastest way to launch direct-to-consumer digital initiatives to improve customer experience and acquire loyal customers.

India is predicted to become the second largest e-commerce market by 2034, surpassing the US. No-code/low-code platforms power the e-commerce growth strategy and give retailers and brands access to enterprise-grade infrastructure that allows merchandising. and planning; distributed storefront management; customer reviews, retention, and loyalty; sales, offer, and discount automation; and customer support automation.

Solution

Before launching Amazon SageMaker Canvas, AWS introduced two no-code/low-code services: Amazon Honeycode, a visual web and mobile application builder; and Amplify Studio, a visual development service for the application stack. Amazon SageMaker Canvas is an ML service for any engineer or business user to build ML predictions through point-and-click options and automatically combine their data and create individual or batch predictions.

Amazon is looking to expand its no-code/low-code portfolio as the demand for cloud-focused skills is high and believes the solution will address existing skill-gap problems. The company also wanted to tap into a demographic of non-technical users with no-code/low-code.

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SAP also jumped on the no-code/low-code train. Its solution allows customers to develop apps and adjust SAP processes through drag-and-drop options. They also plan to automate the workflow for the control and finance departments. For their no-code development environment, the company acquired AppGyver, a no-code platform, and for low-code, SAP launched Business Application Studio.

Google also has a no-code AI solution called AutoML. The solution assumed some ML knowledge on the part of the developer. AutoML is a feature-rich suite of AI products that enables users to train high quality ML models for business use cases.

Meanwhile, Microsoft has a free desktop program called Lob for building customized AI models, without coding. Available for Windows and Mac, Lobe is best suited for image classification.

Akkio is an end-to-end no-code free AI platform designed for sales, marketing and financial activities. The platform claims that it can help convert data into live AI predictions in less than 10 minutes without writing code or hiring a data expert.

Nation World News Desk
Nation World News Deskhttps://nationworldnews.com
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