The stage is set for a new era in marketing, and marketers have never had so much data and technology at their fingertips. But to deliver the ROI that enterprises require today, marketers must have a strategic mindset and fine-tune the tools, tactics and approaches in their marketing data stack. Snowflake is here to help marketers evolve and accelerate their marketing impact with our third annual Modern Marketing Data Stack report and global virtual event.

Are you thinking about hand-coding an API? You have the perfect application in mind. It has an attractive UI and achieves everything the customer wants. However, it needs to connect with a Microsoft SQL Server database, so you have to start working on the data model and API. Hand coding APIs offers greater customization and control but is time-intensive, whereas API generation provides a faster, more streamlined approach with automated tools, albeit with less flexibility.

In the insurance industry, the claims process can often feel like a complex maze of manual processes for both customers and agents. However, new and advanced technologies are paving the way for smoother, more efficient claims handling. Claims processing automation at insurance companies can streamline routine tasks, reduce risk of errors, and enhance customer satisfaction. In this blog, we’ll explore three key areas to focus on for effective automation.

Many business processes involve communicating with external parties such as suppliers, logistics providers, insurance providers, and government institutions. Unlike internal communications, these inter-organizational communications usually have to follow various regulations and standards, and could introduce delays if one party doesn’t comply. Therefore, effective business-to-business (B2B) integrations are a key part of most digital transformation projects.

UI testing helps to ensure that the UI of your website or mobile app behaves as expected and that a high-quality user experience is maintained. This guide covers the basics of automated UI testing and how it can help your organization perform full UI testing more efficiently and consistently.

Intelligent automation is transforming the manufacturing industry, optimizing operations, reducing costs, and enabling data-driven decision-making. However, to fully harness the potential of intelligent automation, manufacturers must measure its impact using specific Key Performance Indicators (KPIs). These metrics provide a comprehensive view of performance, help identify areas for improvement and demonstrate the value of automation to stakeholders.

The OKR (Objectives and Key Results) framework is an approach used by companies that sets goals to improve alignment, engagement, and performance. OKRs became well-known after being used by Google and Intel and are now widely accepted across various industries, especially SaaS businesses.

Business leaders find themselves involved in a range of high-priority tasks, most of which require making critical decisions. Let’s say you’re the sales head of a global organization. You’re ready to make an important decision about next quarter’s sales strategy, but you must first look at the right data set. You know it exists somewhere in your organization’s databases, yet it’s not within the arm’s reach.

‍ They started in awe, which soon turned into desperation to keep up, and it is only now that we have started realizing the utility and business value of our Artificial Intelligence (AI) goals. I like this stage of our industrial revolution, where we are no longer expecting magic from AI but are integrating it nevertheless for all the wonders it can still do for our businesses. This was the same space where our DevOps efforts started yielding enterprise-level transformations.

Continuous integration (CI) pipelines are an important part of building and deploying reliable software. Whether it's building a Docker image, running tests, or even just doing code linting, CI pipelines help you automate repetitive tasks and ship better code even faster. GitHub Actions lets you create pipelines to build containers, test source code, and publish software.