Low-code and no-code platforms are used to build applications, websites, mobile apps, forms, dashboards, data pipelines, and integrations. No-code platforms help business users, sometimes termed citizen developers, to migrate from spreadsheets, extend beyond email collaborations, and transition from manual task execution to using tools and automations across departments. Low-code platforms are usually for technologists and provide ways to deliver and support software with little or no coding. "You have to remember low code is just a fancy term for abstraction. We are abstracting away non-essential elements in order to simplify the user experience," says Gordon Allott, President and CEO of K3.

Over the last few years, low-code solutions have become important to help organizations widen programming accessibility to a broader base of users and help fill development gaps. And these technologies are still gathering steam--Gartner estimated the market for low-code development technologies would grow to a total of $26.9 billion in 2023 and that 65% of applications would be developed using low-code by 2024. However, AI-based code generation is set to further level the playing field with advanced auto-completion and AI coding assistants. Take GitHub's Copilot, a helpful AI pair programmer, or OpenAI's ChatGPT, which can generate complex functions given natural language prompts. Other AI tools trained on UIs, like Galileo, can derive frontends for any project in a matter of seconds. So, are low-code development platforms still relevant in this new paradigm of AI-driven software development?

Mendix, a Siemens business and global leader in modern enterprise application development, announced that Socotra, a provider of end-to-end insurance IT solutions, is now a Mendix independent software vendor (ISV). The Mendix ISV Program is available for partners across all industries to expand their businesses and monetize their domain expertise by selling unique customer-centric solutions. The program provides an ideal set of benefits to enable businesses to successfully develop, bring to market, sell, and deploy software solutions built on the Mendix low-code platform. The program is tailored to companies who want the advantages of the world's leading enterprise low-code platform when they want to build solutions for their industry. "Our ISV program allows participants to create solutions that target each industry's unique needs and pain points using their deep industry expertise, be it in banking, financial services, insurance, manufacturing, retail, or the public sector," said Jethro Borsje, chief ecosystem solutions officer at Mendix.

Lean manufacturing tends to reduce waste and make the production process more cost-effective and efficient as well. The primary focus is to streamline production operations while enhancing customer experience. To make this possible, lean manufacturing optimises production operations by emphasizing customer needs. Overall, lean manufacturing is about terminating things that do not add value, therefore adhering to delivering the product based on the needs of the customers and fulfilling the expectations, says Ritesh Sutaria, co-founder of Prompt Softech. Using a low-code platform with manufacturing can support manufacturers in solving several issues.

Iterate.ai announced it has joined NVIDIA Inception, a program designed to nurture startups revolutionizing industries with technology advancements. Iterate.ai is focused on developing AI and IoT applications through its rapid development low-code platform called Interplay. By including major AI engines, IoT connectivity platforms, and legacy system APIs all as containerized nodes in a common platform, Iterate can rapidly develop complex AI applications with low-code drag-and-drop connections between those nodes. Other work includes license plate readers, weapons- and threat-detection systems, vehicle-damage estimation, and complex international document tracing by leveraging ML for data modeling. NVIDIA Inception will allow Iterate to drive deeper into the enterprise with low-code applications that leverage the program's wealth of datasets, software development kits, enterprise customers, and further development on GPU-based complex AI training.

Organizations across industries are turning to data and analytics to solve business challenges. A survey by New Vantage Partners found that 91 percent of enterprises have invested in AI. However, the same study found that just 26 percent of these firms have AI in widespread production. Organizations are struggling to solve business challenges with AI. They find that building machine learning (ML) applications takes time and requires expensive maintenance and talent that's in short supply.

With the rapid advancement of technology, it's now possible to develop sophisticated applications without spending large sums of money, waiting for months or years and involving several developers. The advent of no-code and low-code platforms has enabled developers to develop applications integrated with modern technology. These platforms mean that you do not have to write code line-by-line. It allows you to draw a flowchart, and the code will be registered. Coding development is speedier with this method. Low-code development tools offer many advantages, and more people can contribute to the development process.

Integration platform AI Squared announced today the closing of a $6 million seed round led by NEA with participation from Ridgeline Partners. Launched in 2021, AI Squared helps companies adopt artificial intelligence by using a low-code platform to integrate it into existing applications in a timely and straightforward manner. Its founder, Benjamin Harvey, was inspired to start the company after a decade at the U.S. National Security Agency, where he saw how it and other organizations struggled to adopt artificial intelligence into existing applications. The struggle came from what's known as the last-mile challenge, which refers to the costly and time-consuming process of implementing an AI model within an application used on a day-to-day basis, like Netflix's program recommender system, he told TechCrunch. AI Squared helps solve the last-mile problem, assisting companies in adopting AI by using a low-code platform to integrate it into existing applications.

Taking on the challenges head-on that stand in the way of their low-code platforms growing, Microsoft's series of new product announcements this week at Build 2022 gives organizations new options for achieving low-code development goals. Microsoft's series of low-code announcements made this week include Power Pages, the latest Microsoft Power Platform addition for creating integrated, scalable and secure websites. Lured by the promises of democratizing app development with visual, declarative, drag and drop interfaces often bundled with enterprise-wide platforms like Microsoft, Salesforce, ServiceNow and others, enterprises have been quick to jump in and experiment. They're learning that support for a low-code platform can get expensive fast once app development moves from small department coding projects to larger-scale, enterprise-wide apps. Low-code platforms' hidden costs include limited process workflow support that further adds to the challenge of scaling them enterprise-wide.

Is your machine learning project being sped up by your data scientist team? Or would you rather spend more time experimenting with various machine learning techniques and less time maintaining and debugging code? Or are you thinking about incorporating machine learning into your business operations but don't have the funds to hire a swarm of data scientists and engineers? Then, you may be ready to explore low code machine learning systems for your next project. Traditional machine learning model creation and deployment are complicated, time-consuming, and costly, necessitating the hiring of hard-to-find ML experts.