Systems | Development | Analytics | API | Testing

Banking and asset management are advancing into a new era of automation, where human talents, bots, and AI are seamlessly and flexibly unified into cohesive, hyper-efficient workflows. This creates an avalanche of new opportunities for innovation, value-creation, and improved profitability. In light of this need for digital transformation, Appian commissioned a study through the Financial Times' research arm, Longitude, to gain actionable insights on automation.

Organizations have access to massive amounts of data, but they don’t always give enough thought to how they’re going to keep it private and protected. Dozens of data privacy regulations are in effect or in development globally, and the average consumer is learning more about how much of their data gets collected and used by businesses. For this reason, companies need to focus on keeping data safe while it's under their control, but it’s easy to make mistakes.

Data analytics technology helps organizations make sense of an ever-increasing volume of data. As this technology matures, it gets better at delivering actionable insights and helping companies determine outcomes. Prescriptive analytics is a modern solution that builds upon other analytics technology and guides organizations to the right decisions for a particular situation.

Climate change is a challenge for insurers in some obvious ways, such as stronger and more frequent natural disasters. Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate impacts the production quality and quantity of insured consumable goods, their location, and their supply chains.

Not a day goes by without questions from candidates, customers, and other interested parties about how we run Snowflake Engineering. I often hear: “Snowflake has been delivering a truly innovative, high quality product, and the pace of delivery is only accelerating. There must be a secret to it.” Indeed, we have a unique engineering team, and continue to hire world-class engineers. They are the driving force behind our products.

You have started your data journey. You know you need to somehow collect data from various sources and land them into a data warehouse or data lake of some sort. Right now you’re browsing tools and calculating costs - there’s one for extraction, another one for transformations, there’s an ETL tool. What if we told you there’s a better way?

If you’ve been working with SEO for some time, you’d know that although it’s a reliable way of improving your website’s searchability, it’s often marred by the downside of being very time-consuming. Moreover, manual SEO strategies could easily fail to achieve the desired results because of the ever-increasing level of competition. In such a scenario, an automated tool that helps you enhance your SEO efforts can prove to be a boon.

When setting realistic website traffic goals. where should you start? Check out these 15 tips from the experts.

Welcome to the “A beginners guide to test automation with Javascript(Nightwatch.js)” blog series part 3! If you have missed out on the previous parts, make sure to read part 1: Introduction to Nightwatch.js and part 2: The most useful Nightwatch.js commands in our blog. In this article we will look at callback functions and command queue in Nightwatch.js, and as always – feel free to skip to any part you are the most interested in.

At its core, Bitrise has open-source components. In fact, many of the Steps that make up Bitrise Workflows are open-source developments. But did you know that Bitrise has an open API and users are actively creating extra apps and other components that make use of the API?