Systems | Development | Analytics | API | Testing

The insurance industry is undergoing a profound digital shift. To keep up, insurers need a connected insurance platform that not only meets the demands of today but anticipates the needs of tomorrow. For many leading insurers, Appian is that platform. This blog walks you through how Appian equips our partners with the insights and tools they need to amplify their success in the Insurance industry.

In the ever-evolving landscape of modern applications and cloud native architectures, the need for efficient, scalable, and secure communication between services is paramount. Enter the service mesh — a versatile platform designed to address various challenges in securing, connecting, and observing microservices. In this post, we’ll cover seven signs that indicate it may be time for your organization to adopt a service mesh.

Imagine seamlessly integrating your Google Analytics data with Snowflake, allowing you to combine it effortlessly with other key sources like CRM, ERP, social media metrics, email campaign data, and whatever data sources compose the full scope of your data estate. The good news is that it’s possible with the native Snowflake Connector for Google Analytics, now available in public preview.

As we assess the technological landscape for the new year, one of the only guarantees is that technology will continue to evolve. Cloud migration and support are top-of-mind for worldwide organizations–this year, cloud computing is forecast to surpass $1 trillion worldwide for the first time. Cloud-based ERPs reduce operating costs, can help automate processes, and provide finance teams with greater autonomy.

Growing as a company involves a myriad of elements, but ultimately, it comes down to the practices and routines that teams have. These habits have a great impact on boosting team performance and engagement, which helps the company move ahead together. Fostering a high-performance culture means creating a space where team members do their best because they are engaged, feel valued, and keep learning.

It’s 2024. In the last decade, we’ve seen manual file sorting become ETL, then ETL became ELT and ELT became dbt. But we still use spreadsheets in our boardrooms, and flat files are still filling critical business workflows.

If you’ve done any work on iOS apps these last few years, you’ll know how concise and expressive the Swift language can be. And you may well have benefited from Swift extensions, a powerful mechanism that lets you, the developer, extend both your functionality and Swift’s, by extending any Objects and Structures you need. However, the variety and versatility of extensions does present teething challenges.

A key benefit of the Snowflake Data Cloud is the elimination of data silos. Fundamental to this outcome is the ability of customers to operate and collaborate globally. To support this, the Data Cloud was designed to provide customers with the same product experience—including security and governance capabilities — across multiple cloud regions with the three major cloud providers: AWS, Azure, and Google Cloud.

You have built your performance test and executed the tests under load and your tests do not meet your requirements in terms of response times. Or you are unable to execute your tests with the number of concurrent users required. In this post we will give some insights into where you might want to start looking for the root cause of your performance issues.