Systems | Development | Analytics | API | Testing

NatWest automates to keep ahead of the digital challenge.

The NatWest team found opportunities to automate 46% of data in their governance processes. Using Appian’s data fabric, NatWest created a unified data model that integrated 14 disjointed processes, aligning with the company’s "One Bank" vision. This consistent architecture enables employees to enter data once and reuse it throughout the change cycle, enhancing risk control with higher levels of automation.

How To Improve #TestAutomation Speed? | Yatender Sharma | #softwaretesting #automationtesting

In this video, join Yatender Sharma as he reveals valuable insights on accelerating test automation speed in this engaging video. Discover practical strategies to enhance your automation processes and achieve faster results. From automatic failure analysis and correction to seamless integration with Continuous Integration & Delivery (CI/CD) pipelines, Yatender covers it all.

Preventing Hallucinations in AI Apps with Human-in-the-Loop Testing

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.

Top 10 Reasons to Acquire a Product Information Management Solution (PIM or PXM)

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail.

What is Data Mapping?

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Mastering the API Lifecycle: Essential Stages & Proven Strategies for Success

What determines the success of an API? A significant part lies in mastering the API lifecycle—from planning to retiring, every step impacts your API’s performance and adoption. The API lifecycle involves several critical stages—planning, designing, developing, deploying, consuming, monitoring, and retiring. Each stage dictates the successful implementation of APIs, including governance models, transparency, and security being crucial throughout.

Automated Insurance Claims Processing: How Does It Work?

With more emerging players entering the insurance market and insurance companies recognizing the importance of the digital experience, consumer demands for a connected insurance experience have grown to new heights. For insurance customers, the claims process is a critical moment of truth, making it essential that insurers deliver a hassle-free, seamless experience with faster claims processing and excellent customer service.