Applications Related Topics 
OTS Solutions
JUNE 21, 2023
Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important.
Martin Fowler
FEBRUARY 16, 2023
Juntao Qiu completes his article on modularizing react applications by identifying that the last change smelled of Shotgun Surgery and taking the steps to fix it.
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Martin Fowler
FEBRUARY 7, 2023
In this first part he gives an overview of how a React application can evolve into a better modular structure. Despite being the hot new thing, React is just as vulnerable to this problem as Swing and Turbo Pascal. My colleague Juntao Qiu writes about how to untangle such a mess. Later parts will dig into a small, but representative example.
Martin Fowler
FEBRUARY 8, 2023
Juntao Qiu illuminates his general description of modularizing a React application with a small example of presenting a user a dynamic set of choices.
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
Xebia
JUNE 19, 2023
Introduction Welcome to part three of the blog series about Application Security Testing. In part one of this series, we looked at Static Application Security Testing (SAST) and in part two at Dynamic Application Security Testing (DAST). In this blog we are going to learn about Interactive Application Security Testing (IAST).
OTS Solutions
JUNE 9, 2023
Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by $527.40 What are Enterprise Applications? Top 10 Most Popular Frameworks for Enterprise Applications 1.
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Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. 4 common approaches to analytics for your application. How do you differentiate one solution from the next? You’ll learn: The evolution of business intelligence. The pros and cons for each option.
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Its expanding range of use cases is witnessing exponential growth, allowing PostgreSQL to effectively target an ever-increasing number of applications while minimizing limitations. PostgreSQL is a highly versatile and robust technology, capable of addressing a wide range of challenges in diverse environments.
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Embedding analytics in your application doesn’t have to be a one-step undertaking. In fact, rolling out features gradually is beneficial because it allows you to progressively improve your application. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach.
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With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations.
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In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.
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Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.
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These failures can also significantly erode human trust in AI, rendering it ineffective for real-world applications in many industries. This could mean a catastrophic failure by the system down the line, especially without proper guardrails. With the rising stakes, AI systems must be built to be humble, just like humans.
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