Open post AI-Implementation

Best Practices for AI Implementation

The implementation of AI solutions within a business environment presents a unique challenge. While the allure of "best practices" offers a seemingly clear pathway to success, a rigid adherence to fixed rules in the dynamic and rapidly evolving world of AI is counterproductive. The very nature of AI necessitates a more adaptable and fluid approach,...

Open post Citizen Development

Citizen Development in the Age of AI

Citizen Development refers to non-technical individuals who leverage low-code and no-code platforms to create applications that meet specific business needs, significantly reshaping the software development landscape. This trend emerged in response to the growing demand for software solutions amidst a shortage of skilled developers, particularly as organizations sought to enhance operational efficiency and innovation. The rise...

Open post IT departments

How Citizen Developers Are Transforming IT Departments

Citizen development empowers employees who are not IT-trained to become software developers. They use NoCode/LowCode (LCNC) platforms that allow them to create business applications. This method of software development allows employees to become citizen developers, despite not having a formal education. In this context, AI tools like Cursor and Replit have emerged as pivotal resources...

Open post software

Is AI eating software?

The phrase “AI is eating software” refers to how AI systems are rapidly transforming or even replacing traditional software development and operational processes. This concept mirrors Marc Andreessen’s famous quote from 2011, “software is eating the world,” in which he pointed out how software was becoming central to virtually every industry. Now, AI is beginning...

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Klarna’s Bold Move: What It Means for the Future of SaaS in the Enterprise

In a bold move, Klarna recently announced they are moving away from using well-established SaaS platforms like Salesforce and Workday. Instead, they are relying on an internal AI-driven solution to replicate — and, in some cases, surpass — decades of customization and workflow automation offered by these industry giants. This shift raises a critical question...

Open post prediction

What is the difference between prediction and recommendation?

Machine learning encompasses a range of techniques and methodologies designed to analyze data and make informed decisions. Two fundamental tasks within this field are prediction and recommendation. Understanding the distinction between these tasks is essential for effectively applying machine learning technologies across various domains. This article delves into the definitions, theoretical backgrounds, applications, ethical considerations,...

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