Systems | Development | Analytics | API | Testing

95% of insurers are currently accelerating their digital transformation with AI-driven claims processing. Traditionally, this process involved manual steps such as claim initiation, data entry, validation, decision-making, and payout, consuming significant time and resources. However, the introduction of AI has replaced tedious manual work, enabling companies to streamline their tasks efficiently.

Workplace claims are legal actions or complaints that employees set forth against their employers due to violations of employment laws or contractual agreements. In recent times, employees feel encouraged to speak up for their rights with no workplace harassment, discrimination or unjust treatment. This increased awareness has raised legal standards and regulatory frameworks and thus, employees feel more empowered to report instances of harassment and discrimination.

Local LLMs are becoming mainstream with sites like HuggingFace promoting open sharing of trained LLMs. These LLMs are often very small but still extremely accurate, especially for domain-specific tasks like medicine, finance, law, and others. Gemma is a multi-purpose LLM and, while small, is competitive and accurate. Local LLMs also have the advantage of being completely run inside your own environment.

If you’re building for mobile apps, you need Realm in your life. It’s specifically designed for mobile devs and even though it’s available on multiple platforms, it’s typically used to develop iOS apps, using Swift. Built on top of SQLite Realm Swift is a very high-level abstraction layer that simplifies database operations for the developer. Today we’re going to unpack it, with a guide that drills so far down into the subject, it’s practically in Australia.

Dive deeper into our Bitrise build pipeline series with a focus on conditionally running workflows for optimized CI/CD processes. Discover how to use resources more efficiently, achieve faster build times, and enhance your deployment strategy.

In the ever-evolving world of tech, there's a critical decision that both businesses and developers grapple with - choosing the perfect tech stack for developing mobile apps. But why does this decision weigh so heavily on everyone's minds? Well, it all boils down to how this choice impacts the performance, scalability, and security of mobile applications. Choosing the appropriate tools requires delving into your app requirements alongside a thorough analysis of the end goal.

There’s nothing businesses desire more than growth. Your growth rate is a telling indicator of how far you’ve come in business and how soon you’ll be able to break even on investments. And if your company is shooting for an exit soon, your growth rate can be the difference between a few hundred thousand vs millions in investment dollars. With SaaS, the stakes are even higher.

Kong’s Wanny Morellato and Deepak Mohandas recently joined Justin and Autumn on the ShipIt podcast to talk hybrid infrastructure with Kong Gateway and Kong Mesh. They unravel the complexities of hybrid infrastructure at scale, discussing the processes, strategies, and philosophies that drive continuous delivery, infrastructure as code, and more.

The U.S. Bureau of Labor Statistics reports that the incidence rate of nonfatal workplace accidents has decreased over the years, which can be attributed to the implementation of preventive measures in private industry. Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management. Addressing these complexities is easier with Astera’s unstructured data extraction solution.

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and loaded into the target storage as required by your business rules. ETL (Extract, Transform, Load) is how data integration tools and BI platforms primarily turn data into actionable insights.