The right SaaS technology stack lays the foundation for a scalable and adaptable platform. But striking the right balance between cost and performance can be a challenge for any SaaS company. In this guide, we’ll help you tackle that challenge and provide you with insights into 36 specific SaaS technologies. We’ll also offer valuable guidance for your SaaS tech stack evaluation and selection process.
Businesses are eager to leverage the power of AI, but AI projects aren’t like regular IT projects - they are often more experimental and complex. 85% of AI projects fail to deliver on their intended promises. In this AI development cost analysis guide, we’ll help you overcome this statistic by equipping you with 8 must-know factors to assess your own AI costs and kick off your next AI project with confidence.
The number of open banking API calls is forecast to grow from 102 billion in 2023 to 580 billion in 2027, signaling rapid expansion and integration of open banking services globally. This surge highlights the profound impact open banking is having on the financial industry, enabling unprecedented levels of financial transparency and competition. In this article, we will explore the top 10 use cases of open banking APIs.
![10 Dos and Don'ts - Financial App Development [2025 Guide]](/uploads/blog/financial-app-development/financial-app-development.png)
The fintech industry is experiencing massive growth, with the number of users globally engaging in digital payments expected to increase by over 48% in just the next five years. This growth isn't limited to digital transactions; it also includes a surge in new fintech companies and innovations driven by AI, advancements in open banking, and rising demand for mobile-first digital experiences.
The rapid advancements in blockchain and AI-driven analysis are revolutionizing the financial industry, creating unprecedented opportunities for innovation. As a result, finance companies are increasingly seeking robust, agile, and sophisticated software solutions to address evolving regulatory challenges, enhance operational efficiency, and deliver personalized customer experiences.
Currently, 36% of firms in the real estate sector globally report using AI, and this number is expected to soar to 90% by 2030. In this article, we’ll explore the key advantages of AI in the real estate sector and delve into 10 real estate AI use cases transforming the industry. By understanding these use cases, you’ll gain actionable insights on how to leverage AI to stay competitive and drive success in real estate business.
As industries and governments strive to make smarter, data-driven decisions, the need for precise, real-time analysis has never been greater. In this article, we’ll explore the most impactful use cases for GeoAI that are driving innovation in 2025. We’ll also review key APIs and platforms to help you begin leveraging geospatial intelligence in your own projects or new product development work.
In this article we explore the top 10 proven use cases for predictive analytics in finance, demonstrating its power to not only predict future market trends but also to revolutionize investment strategies, risk management, customer engagement, and beyond. We’ll provide tangible resources to help your team embrace predictive analytics and transform data into strategic assets.
According to the Python Developers Survey, Django ranks as the second most popular Python framework worldwide. In this article, we’ll guide you through 7 easy steps to use Django for business software development, from defining clear business requirements to testing and deploying your application. By following these steps, you can leverage Django’s strengths to create effective, scalable, and secure business solutions.
The average employee spends nearly 5 hours a week creating PowerPoint decks. If you’re looking for ways to automate routine PowerPoint tasks, you’re not alone. Leveraging Python to build simple automation scripts can drastically reduce the monotonous work involved in creating and modifying PowerPoints. In this article, we’ll look at 7 ways to boost productivity with Python’s PowerPoint automation libraries.
With over 70% of organizations actively piloting automation technologies, it’s clear that businesses across industries are looking for ways to streamline repetitive tasks. Python has emerged as a powerful tool for Word document automation, helping businesses enhance efficiency and simplify common document processing tasks. In this article, we explore 8 ways to supercharge your Python Word automation.
In a world where nearly all employees (over 90%) rely on Excel, teams across industries are increasingly turning to automation to streamline repetitive workflows and empower staff to focus on more strategic tasks. In this article, we delve into 7 key elements of Python Excel automation, covering everything from creating and modifying Excel files to templating, formatting cells, embedding charts, and extracting data.