Systems | Development | Analytics | API | Testing

AI Process Automation: 4 Predictions for the Age of AI

Generative AI seems like it's shaking things up for process automation, like other industries. But in reality, artificial intelligence is less of a shake-up and more of a natural complement to the capabilities that support a process automation initiative. Imagine a world where AI can turn a PDF into a digital interface, or sort all the emails in an inbox and generate responses for an employee to review.

Yellowfin vs Power BI: What's the Difference?

Adopting a new business intelligence (BI) solution requires a thorough understanding of its feature-set and functionality in order to ensure analytics is integrated into your business as seamlessly as possible and that the value of your new tool is realized. Previously, we have covered how Yellowfin can be used with Power BI as a complementary solution.

What Well-Designed Data Lake Architecture Looks Like

The importance of a well-structured data lake architecture cannot be overstated. As businesses work with an ever-increasing influx of data, the need for a robust, scalable, and efficient data storage solution becomes crucial. Let’s explore Data Lake Architecture Design—a concept revolutionizing how enterprises store, access, analyze, and compute their data.

Top 5 Best Practices for Building Event-Driven Architectures Using Confluent and AWS Lambda

Confluent and AWS Lambda can be used for building real-time, scalable, fault-tolerant event-driven architectures, ensuring that your application logic is executed reliably in response to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka® and built on Kora: The Cloud Native Apache Kafka Engine, allowing you to focus on building event-driven applications without operating the underlying infrastructure.

Perforce Adds Generative AI to Test Data Automation to Increase Precision, Coverage, and Shift Left Velocity

BlazeMeter's new Test Data Pro adds generative AI in three significant ways to auto-generate test data, increase data profiling precision, and enable natural language for test data rule creation.

AWS, Qlik, and SAP Data: Turning the Lifeblood of Business into Value and Action

One of my favorite analogies is that data is the lifeblood of the business. Before you roll your eyes at me (I see it now), hear me out. At your annual physical, when you get your blood work done, think of how much information is uncovered about your overall health from a tiny vial of your blood. From those 10 CCs they extract comes back pages of information regarding your cell counts, glucose, cholesterol, and other information.