Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

While Salesforce is a much celebrated CRM tool in the industry, it’s no perfect tool just like any others. It offers limited flexibility for on-the-fly data manipulation compared to Excel. Salesforce can be complex to set up and use effectively, particularly for users without technical expertise. It often requires training or support from Salesforce administrators to fully utilize its capabilities.

Workflows determine how organizations conduct processes. These workflows can initially be very straightforward—just a simple series of steps that must be completed sequentially to achieve a particular outcome. However, the steps can become more complicated as business processes and requirements become more extensive. Your organization needs to keep these workflows running smoothly even as they become more complicated.

Ramkumar Nottath, the Senior Solutions Architect at AWS, beautifully puts it. And that’s where low-code or no-code ETL platforms can help—to make the data consumable and democratize it. In this blog, I explain low-code vs. no-code from my experience.

In 24.2, we introduced our enterprise copilot. Enterprise copilot allows you to upload business documents and collect them in knowledge sets. From there, you can ask questions about information in these documents and receive answers quickly. For instance, an organization with a heavy regulatory burden could upload legislative and operational documents. Then, these employees could get insights from Appian AI Copilot to ensure they adhere to compliance requirements.

The Testing Pyramid is a framework in software development that helps organize and manage different types of tests. Its purpose is to ensure efficient and effective testing by structuring tests into a hierarchical model. At its core, the Testing Pyramid emphasizes the importance of having more low-level tests that are quick to execute and fewer high-level tests that are more complex and time-consuming.

In the field of Natural Language Processing (NLP), two prominent terms frequently arise: Small Language Models (SLMs) and Large Language Models (LLMs). While both play significant roles across various industries, including healthcare and life sciences (HC-LS), their applications and advantages diverge depending on the context and requirements of the task.

Your organization is likely sitting atop vast quantities of diverse data. However, all that data must undergo certain processes before you can fully leverage it. Data discovery is among those processes. Let’s learn more about it.