Month: September 2024

OutSystems, a global leader in low-code application development, has announced its expansion into South Korea, marking a significant milestone in its Asia-Pacific operations. As businesses in the region rapidly advance toward digitalization, the OutSystems low-code platform is set to revolutionize the development landscape, empowering developers and IT teams to streamline their software processes more efficiently.

South Korea is accelerating digital transformation, with 30% of companies planning to adopt AI by 2030. OutSystems is seizing this opportunity by offering its low-code platform and AI tools to enhance efficiency and drive the country’s growth.

In response to the growing demand for low-code and generative AI solutions, OutSystems is stepping in to help South Korean businesses achieve faster deployment, reduce costs, and increase agility. By establishing a local presence, the company provides direct support, enabling businesses to meet their digital transformation goals and stay competitive in a rapidly changing market.

OutSystems’ low-code platform accelerates software development, enabling businesses to create applications up to 10x faster than traditional methods. As a result, South Korean companies can adapt quickly to shifting customer demands and market dynamics. Furthermore, by integrating AI tools, the platform automates complex processes, reduces technical debt, and enhances scalability.

Additionally, OutSystems is strengthening its expansion by partnering with regional system integrators such as BK Planet, SK C&C, and Hanwha Systems. These partnerships have already led more than 25 South Korean companies, including five major chaebols, to adopt OutSystems’ low-code solutions. As a global innovation leader, South Korea’s businesses are increasingly aligning with advanced technologies, positioning themselves as leaders in digital transformation.

As the demand for AI coding assistants rises, with 75% of enterprise software engineers projected to use AI by 2028, OutSystems’ low-code platform offers a future-proof solution. It bridges the gap in AI expertise, helping businesses thrive in the digital age.

In today’s fast-paced market, low-code development is a game-changer for businesses facing digital transformation challenges. It helps overcome outdated technologies and resource limitations, enabling faster modernization and streamlined processes.

Low-code platforms simplify the application development process by providing a user-friendly interface that allows users to create complex applications quickly. According to Gartner, by 2025, 70% of all software development will involve low-code or no-code technologies. This shift is attributed to the numerous benefits low-code development offers.

Also read – Gartner’s Predictions on Low-Code and No-Code Development

One of the primary advantages is speed. Businesses can launch new applications in weeks instead of months, dramatically reducing time-to-market. This agility allows organizations to respond swiftly to evolving market demands and customer needs. Additionally, low-code development promotes cost-efficiency. By minimizing the need for specialized coding skills, companies can save on hiring expenses while shortening project timelines, leading to substantial cost savings.

Flexibility and scalability are also critical benefits of low-code platforms. Applications built using these solutions can be easily adapted to changing business requirements, with modifications implemented in hours rather than days. This adaptability ensures that businesses can continue to meet their objectives without compromising quality or functionality.

Low-code development is accessible to a broader range of users, including those with minimal technical expertise. By providing a visual development interface alongside pre-built components, these platforms empower teams to innovate without the constraints of traditional coding. This accessibility also opens up new career opportunities, as more individuals can engage in application development. For developers, low-code tools offer the ability to write code when necessary, facilitating the creation of complex applications tailored to specific business needs.

The practical applications of low-code development span various industries. In banking, it supports the rapid development of secure mobile banking applications. In healthcare, it enables patient management systems and telemedicine tools. Retailers can enhance customer experiences through personalized mobile applications, while public sector agencies can streamline internal workflows and citizen services.

As businesses recognize the transformative potential of low-code development, its adoption will continue to rise, driving a new era of digital innovation. Embracing low-code solutions empowers organizations to enhance collaboration, improve operational efficiency, and ultimately achieve their digital transformation goals.

Zoho Corporation, a global leader in technology solutions, has unveiled Zoho IoT, a low-code platform that allows businesses to create and deploy custom IoT (Internet of Things) solutions effortlessly. Launched to enhance business efficiency and customer experience, Zoho IoT provides businesses with real-time data insights and automation capabilities, making complex operational tasks simpler and more accessible to non-technical users.

One of the key features of the Zoho low-code IoT platform is its scalability and adaptability. It caters to various industries with pre-built solutions or fully customizable IoT integrations. This flexibility allows businesses to streamline processes, make data-driven decisions, and improve customer satisfaction without requiring extensive technical expertise. Additionally, the platform’s AI-driven capabilities enable organizations to predict system issues, detect anomalies, and generate actionable insights, optimizing operations efficiently.

The platform’s cloud-based infrastructure not only integrates with IoT devices but also offers capabilities such as data integration, orchestration, and visualization. Furthermore, it transforms IoT solutions into digital twins, which provide businesses with a detailed virtual model of their physical environments. Consequently, this capability is essential for industries that require real-time monitoring and precise operational control.

Zoho IoT includes strong security measures that ensure compliance with global standards while safeguarding data privacy. Moreover, it facilitates integration with third-party hardware, simplifying the process for businesses to incorporate the platform into their existing infrastructure.

Industry-Specific Solutions

Zoho IoT caters to several industry verticals with tailored solutions, including:

• Industrial IoT: Enhances shop floor productivity and reduces maintenance costs.
• Smart Buildings: Provides unified management for assets, energy, and facilities.
• Energy Management: Enables effective planning and monitoring of energy consumption.
• Connected OEMs: Supports remote monitoring and real-time insights for smart products.

The platform further provides specialized solutions such as temperature monitoring, water leakage detection, and solar monitoring. This versatility makes it an ideal tool for addressing various business needs across industries.

Connecting IoT with business workflows is key to delivering seamless customer experiences. With Zoho IoT’s low-code, AI-powered capabilities, businesses can rapidly scale and innovate, unlocking new efficiencies and revenue streams. To understand how AI enhances IoT functionalities, read our post on Harnessing AI Integration in IoT Platforms for Enhanced Efficiency.

In summary, Zoho IoT offers a powerful and flexible solution that meets the diverse needs of modern industries, ensuring that businesses stay competitive by harnessing the full potential of IoT technology.

Securing copilots and low-code apps is a growing priority for enterprises, as more companies adopt these platforms to streamline operations. A recent study by Zenity highlights that the average enterprise now manages nearly 80,000 apps built outside traditional development cycles, with 62% of these apps containing security vulnerabilities. Securing these copilots and low-code apps is crucial to reducing the vast attack surface they create. Here are four effective strategies to address vulnerabilities and strengthen your security framework.

To read more about the Zenity report on low-code apps, click here.

1. Configure for Security Up Front

Security should never be an afterthought. From the outset, businesses must implement critical controls when building apps with copilots or low-code platforms. This includes flagging apps with hard-coded secrets and prioritizing authentication controls for those interacting with sensitive data. By establishing security standards early, organizations can minimize risks later on.

2. Establish Guardrails for Copilots and AI

With the growing use of copilots and AI, it’s essential to implement strict guardrails that prevent unauthorized access to sensitive information. Enterprises should take proactive steps to avoid oversharing apps that could expose critical data. Additionally, managing user interactions with copilots is vital to preventing prompt injection attacks or data leaks. By establishing these boundaries, businesses can effectively mitigate the risk of sensitive data exposure via AI-powered copilots.

3. Regulate Guest Access

Furthermore, many organizations unknowingly grant privileged access to untrusted guest users on low-code apps. In the Zenity study, enterprises had an average of over 8,600 instances of untrusted guests having access to apps, with 72% of these guests holding privileged permissions. To reduce this risk, organizations need to strictly limit guest access to individuals necessary for specific roles. Consequently, monitoring and managing guest access becomes crucial to preventing unauthorized modifications or deletions.

4. Rethink Connectors to Sensitive Data

Lastly, sensitive data must be protected at all times. It’s essential to identify which apps are connected to sensitive information and assess how data is transmitted. Ensure that all connectors use secure methods such as HTTPS calls. By doing so, businesses can safeguard data flow and significantly reduce the risk of data breaches through insecure connections.

The rapid adoption of copilots and low-code platforms introduces exciting possibilities for business operations, but without a strong security framework, they can expose organizations to significant risks. Taking proactive steps to configure security, establish guardrails, regulate access, and secure data connectors can help enterprises harness the power of low-code technology while maintaining a secure environment.

In today’s fast-paced tech landscape, low-code development platforms are revolutionizing opportunities for professionals without coding expertise, helping them stay relevant in a competitive market. These platforms are particularly beneficial for those who feel left behind in the tech race. By simplifying software development, low-code tools allow organizations to digitize rapidly. They offer a range of services, from cloud solutions to cybersecurity, making them a game-changer for industries looking to innovate with minimal technical knowledge. For more insights, check out Enterprise Low-Code Application Platforms.

Upskilling Through Low-Code

To address the growing need for tech skills, educational institutions and digital providers are increasingly offering courses in visual development. As a result, these platforms empower non-coders to create applications using intuitive visual tools. Consequently, this creates excellent opportunities for professionals transitioning into tech or those seeking to remain relevant without mastering complex coding languages.

A Holistic Solution for Companies

Low-code platforms are more than just application-building tools; they provide a comprehensive suite of services for companies undergoing digital transformation. Organizations investing in these solutions typically gain access to integrated tools such as cloud services, cybersecurity features, and infrastructure management. This enables businesses to focus on their primary objectives without being bogged down by technical complexities.

This holistic approach is especially advantageous for organizations needing to digitize quickly but lacking internal resources or experience with cloud-based systems. Industries like banking, insurance, and finance have found low-code tools critical for launching digital operations rapidly and cost-effectively, especially in response to new market challenges.

The Pandemic’s Role in Accelerating Low-Code Adoption

The COVID-19 pandemic significantly accelerated the use of visual development platforms. Facing immense pressure to digitize and adapt to remote work environments, many companies turned to these solutions for quick deployment of digital systems. With minimal software development experience, businesses created applications that helped them survive and thrive in an ever-changing world.

While the concept of low-code development is not new, its adoption soared during the pandemic. Organizations sought rapid and effective digital transformation solutions without the complexities of traditional software development. These platforms fast-tracked projects and ensured business continuity.

Retaining and Retraining the Workforce

One of the most significant advantages of low-code platforms is their potential to help companies retain and retrain their workforce. As industries evolve, many employees find their skills becoming outdated. Low-code platforms offer a way to upskill staff on modern tools, reducing the need for layoffs while equipping employees with valuable new skills.

By adopting visual development tools, businesses empower their current workforce to work with cutting-edge digital solutions. This contributes to the company’s digital strategy, preserving jobs and equipping workers with future-ready skills. Ultimately, this ensures a more resilient and adaptable workforce.

Low-code and no-code platforms have enabled non-technical users, or citizen developers, to build applications without deep coding knowledge. However, AI’s role in addressing obstacles for citizen developers is becoming increasingly vital as challenges such as complexity and lack of expertise persist. Gartner estimated in 2024 that 80% of app development could happen outside IT departments, with more employees experimenting in this space. AI’s Role in Addressing Obstacles includes simplifying processes, automating code generation, and guiding users through app development, helping to overcome these hurdles.

The Illusion of Simplicity

While low-code and no-code platforms offer simplicity, they often become more complex as projects progress. Business teams may initially find them easy to use but soon face technical challenges, such as integrating external APIs or managing complex workflows. These platforms may not handle advanced requirements well, leading to the need for IT intervention to resolve issues and customize solutions.

Lack of Knowledge in Program Design

Another major challenge is the lack of understanding in areas like program design, security, and data flow among business users. These gaps can lead to issues such as poor data management, resulting in inefficient applications that require IT assistance. Often, this results in incomplete or suboptimal projects that fail to meet their intended objectives.

Decision Fatigue and Workflow Challenges

The flexibility of low-code and no-code platforms can be a double-edged sword. While business users enjoy the freedom to customize workflows, too many options can lead to decision fatigue. This can make it difficult to structure logic flows, configure security settings, and make critical choices, often resulting in inefficient apps or abandoned projects.

AI as a Problem-Solver

Generative AI is being explored as a solution to many of these challenges. AI-powered tools, often referred to as “copilots,” can guide users through the app development process by automating code generation from simple prompts or natural language descriptions. These tools help reduce complexity, allowing users to focus on their ideas rather than technical details. AI can also assist with troubleshooting, code optimization, and ensuring security protocols, tasks that would normally require IT intervention.

AI and Citizen Development: Enhancing, Not Expanding

Though AI offers powerful capabilities, its role in citizen development may be more limited than expected. Rather than driving broad changes, AI tends to enhance specific tasks within app development. This includes streamlined workflows where generative AI handles individual tasks, rather than creating full applications from start to finish.

AI-Enhanced Future for Citizen Developers

Despite some limitations, AI-enhanced platforms still hold great potential to accelerate citizen development. AI helps remove many of the technical barriers that previously hindered non-technical users from executing their ideas. With AI support, users can now quickly experiment, iterate, and build functional applications with minimal technical expertise.

In today’s fast-evolving digital landscape, low-code/no-code (LCNC) platforms are revolutionizing the way businesses develop applications. By empowering non-developers, or citizen developers, to build apps without deep coding expertise, LCNC platforms enable rapid innovation and cost-effective solutions. However, with so many platforms available, which one is the best fit for your organization? Let’s explore some top contenders.

1. Microsoft Power Apps: Best for Integration with Microsoft Ecosystem

Microsoft Power Apps is one of the most popular low-code platforms, especially for businesses already using the Microsoft 365 ecosystem. This platform allows users to build professional-grade apps with a drag-and-drop interface. Additionally, it offers pre-built templates, connectors, and a variety of data sources to streamline the app-building process.

Key Features

• Seamless integration with Microsoft tools like SharePoint, Excel, and Power BI
• AI-driven app development
• Extensive support for third-party APIs and cloud services

Best For: Businesses using Microsoft 365 and Azure environments.

Limitations: Advanced customization requires a higher learning curve, and costs can add up with premium connectors and licenses.

2. OutSystems: Best for Enterprise-Grade Applications

OutSystems is a leader in enterprise-grade low-code platforms, offering a robust set of tools for building scalable and complex applications. Moreover, it’s designed to help businesses create apps that integrate with existing enterprise systems while maintaining high performance and security standards.

Key Features

• Full-stack development with the ability to create mobile and web applications
• Built-in AI tools for automation and testing
• Strong security features and compliance support

Best For: Large enterprises looking to build complex, scalable applications with enterprise-level security.

Limitations: It has a steep learning curve for new users and can be expensive for smaller businesses.

3. Mendix: Best for Speed and Collaboration

Mendix is another powerful low-code platform known for its speed and ease of collaboration. It allows for seamless communication between business and IT teams, enabling faster development cycles. Furthermore, Mendix supports both cloud-native and on-premise deployment.

Key Features

• Collaboration tools for business and IT alignment
• Comprehensive tools for mobile and web app development
• Integrated testing and feedback features

Best For: Teams that need a collaborative environment for fast app delivery.

Limitations: While Mendix offers strong capabilities, the pricing model can be challenging for smaller organizations, and the free version is limited.

4. Appian: Best for Workflow Automation

Appian is a low-code platform specifically designed for automating business processes. Its strength lies in its ability to connect workflows, applications, and data to improve efficiency. Additionally, Appian offers strong integration capabilities and can streamline end-to-end business processes.

Key Features

• Workflow automation and business process management (BPM)
• Pre-built industry templates and customizable solutions
• Integration with major cloud platforms and third-party apps

Best For: Businesses looking to automate workflows and improve process efficiency.

Limitations: The platform is more suited to workflow automation than general app development, which can limit its use for broader app needs.

5. Bubble: Best for Entrepreneurs and Startups

Bubble is a no-code platform designed for non-technical users who want to build fully functional web apps from scratch. With its visual editor, users can design complex workflows without writing a single line of code. As a result, it’s ideal for startups and small businesses that want to prototype or launch quickly.

Key Features

• Full design control for web app development
• Responsive design and rich plugin ecosystem
• Strong community support and educational resources

Best For: Entrepreneurs, startups, and small businesses looking to develop MVPs and web applications.

Limitations: Bubble is limited to web app development and doesn’t offer strong mobile app support out of the box.

Each platform has unique strengths and limitations, but all offer a path to accelerate digital transformation, foster innovation, and reduce the strain on IT teams. Embrace the power of low-code/no-code today and unlock new possibilities for your business.

In today’s fast-evolving technological landscape, Low-Code No-Code Solutions are transforming how enterprises implement Large Language Models (LLMs). These solutions make powerful AI tools accessible to developers and non-developers alike, streamlining operations and fostering innovation.

Empowering Developers with Low-Code Solutions

Low-code platforms make LLM adoption simpler and faster. They cater especially to developers who may not be experts in machine learning. In a low-code environment, developers have tools that simplify model building. These tools abstract away complexities like fine-tuning parameters, selecting algorithms, and training models.

Platforms often provide pre-configured templates and modules. These allow developers to integrate LLMs into applications effortlessly. For example, a platform might offer wrapper functions for tasks like forecasting or anomaly detection. Developers can call these functions directly, embedding AI capabilities without deep knowledge of model training.

One key advantage of Low-Code and No-Code Solutions is the significant reduction in time and effort needed to deploy AI-driven features. For enterprises, this translates to faster time-to-market for AI-enhanced products, which is crucial in competitive markets. The ability to experiment with LLMs at lower risk fosters innovation. Developers can prototype and test new features quickly, without needing advanced machine learning expertise.

Enabling Non-Technical Users with No-Code Solutions

While low-code solutions democratize LLM usage for developers, no-code platforms go even further by enabling non-technical users to leverage these powerful AI tools. No-code platforms provide an intuitive user interface that allows users to create applications and integrate AI functionality without writing a single line of code. These platforms rely on visual drag-and-drop features, making AI accessible to business users, marketers, or product managers who may lack programming skills.

No-code solutions are particularly advantageous for businesses that want to empower all their employees to use AI. For instance, a product manager could use a no-code platform to develop a customer service chatbot powered by an LLM without needing help from the IT department. Similarly, a marketing professional could set up an AI-driven content generation tool to create personalized campaigns in minutes.

The no-code approach to LLM implementation significantly lowers the barriers to entry for businesses seeking to adopt AI. It reduces the reliance on specialized developers and data scientists, allowing organizations to scale AI usage across various departments. This accessibility accelerates digital transformation efforts, enabling businesses to become more agile and data-driven.

The Enterprise Impact of LLMs with Low-Code and No-Code

In an enterprise environment, the benefits of Low-Code and No-Code Solutions for LLMs are profound. These solutions facilitate widespread AI adoption across industries like finance, healthcare, retail, and manufacturing. By simplifying the development process, they enable organizations to apply AI for many purposes, such as improving customer service, optimizing supply chains, or personalizing marketing campaigns.

Low-code platforms accelerate AI deployment by giving developers the tools they need to integrate LLMs quickly and efficiently. No-code solutions take this a step further by empowering non-technical users to implement AI capabilities, fostering a culture of innovation across the organization.

The Low Code and No Code AI Platform market is rapidly growing, enabling businesses to develop software with minimal coding. The “Low Code and No Code AI Platform Market Research 2022 Forecast to 2029” report provides critical insights into this evolving market, helping businesses navigate its complexities and prepare for future trends.

Market Overview

Low code and no code platforms are reshaping the software development landscape. By allowing non-technical users to create applications with minimal coding, these platforms reduce reliance on traditional developers. Sectors like finance, healthcare, and manufacturing are adopting these platforms to improve efficiency, cut costs, and streamline their digital transformation efforts.

The report offers a detailed analysis of market trends, providing a comprehensive understanding of the factors driving growth from 2022 to 2029. This includes advancements in AI integration and automation, which further enhance the appeal of these platforms for businesses looking to innovate quickly.

Economic Forecasts: Strategic Planning Tool

A key highlight of the report is its forward-looking economic forecasts, covering national, regional, and global levels. These projections help businesses anticipate market shifts and plan effectively for the future. With the market expected to grow significantly, understanding these forecasts is crucial for identifying opportunities and adapting strategies to the evolving landscape.

By providing data-backed projections, the report empowers businesses to make informed decisions, whether they are focused on expanding operations or investing in new technologies.

Supply Chain Analysis: Enhancing Efficiency

The report also delves into the supply chain of the Low Code and No Code AI Platform market, offering insights into production, distribution, and consumption processes. Understanding the supply chain is essential for businesses to optimize operations and avoid bottlenecks that could hinder growth.

By identifying potential inefficiencies and opportunities for improvement, companies can streamline their processes and boost overall efficiency in an increasingly competitive market.

Competitive Landscape and Market Dynamics

The competitive landscape is diverse, with both established companies and emerging startups competing for market share. The report provides an in-depth analysis of key players and their strategies, offering insights into how these companies are positioning themselves in the market.

In addition, it highlights market dynamics, such as technological advancements and evolving customer needs, helping businesses stay ahead of industry changes.

Request a sample report here