Systems | Development | Analytics | API | Testing

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Gen AI for Marketing - From Hype to Implementation - MLOps Live #32 with McKinsey and Iguazio

In this MLOps Live session we were joined by Eli Stein, Partner and Modern Marketing Capabilities Leader at McKinsey, to delve into how data scientists can leverage generative AI to support the company’s marketing strategy. We showcased a live demo of a customer-facing AI agent developed for a jewelry retailer, which can be used as a marketing tool to offer personalized product recommendations and purchasing information and support. Following the demo, we held an interactive discussion and Q&A session. Enjoy!

API Generation to ETL: How DreamFactory Handles Full Data Replication

While many API tools are available on the market—such as enterprise service buses (ESBs) like Apigee and MuleSoft, or low-code solutions like Hasura and CData—few offer the level of flexibility that DreamFactory does. A recent project underscored just how dynamic this lightweight, enterprise-ready API generation tool can be. In this article, we'll dive into this unique project and explore how DreamFactory proved to be much more than just an API generator.

Future-Proof Your Analytics Tech Stack

Future-proofing your analytics tech stack is essential for ensuring the longevity and success of your software applications. As the final stage of the data journey, analytics transforms raw data into actionable insights that directly impact business decisions and customer satisfaction. To effectively fulfill this role, analytics systems must possess a high degree of flexibility and scalability, seamlessly integrating with diverse applications and data sources.

A Balanced Approach to IT Services Vendor Selection: Why One Size Does Not Fit All

In today’s complex technology landscape, enterprises face the challenge of selecting the right vendors for their business needs. With so many options available, decision-makers often turn to industry analysts for guidance, and the vendor evaluation reports these analysts to write. These reports are highly regarded tools that categorize and evaluate vendors based on various criteria. But should enterprises rely solely on vendors positioned in these reports?

How to use the Reddit API for a JavaScript application

Reddit is a news aggregation, communication, and discussion application. If you want to get more information about a particular topic or have a question, Reddit is the place to be. The data on Reddit are provided to the public through both the website and its API. Learning how to use the Reddit API is beneficial if you want to integrate Reddit communications into your application or if you just want to use certain data on Reddit.

Four Strategies to Level-up Your Test Automation in Jira

For years, the traditional approach to automating tests relied heavily on scripted automation frameworks like Selenium, JUnit, and TestNG. While these tools are powerful and adaptable, they require a significant level of technical expertise. Testers need to write, debug, and maintain complex scripts, often leading to bottlenecks in the development process. Relying only on coded solutions limits test automation to a small portion of the team that has deep coding skills.

ETL, As We Know It, Is Dead

It’s a new world—again. Data today isn’t what it was five or ten years ago, because data volume is doubling every two years. So, how could ETL still be the same? In the early ‘90s, we started storing data in warehouses, and ETL was born out of a need to extract data from these warehouses, transform it as needed, and load it to the destination. This worked well enough for a time, and traditional ETL was able to cater to enterprise data needs efficiently.

Katalon Studio vs. Katalon Studio Enterprise: Full Comparison

“May Katalon be with you whenever you run your tests.” So you’ve heard of Katalon and decided to give it a try. We’re here to help you get the best experience possible out of it. In a way, Katalon serves as your entire software testing life cycle unified in one workspace. You get to do test planning, scripting (from no-code, low-code, to full-code mode), test management, test execution, and finally test reporting.