Systems | Development | Analytics | API | Testing

Must-Have Non-Technical Skills For Software Testers

Being technically strong will definitely help you in getting the software testing job that you have been dreaming of, but if you wish to excel in the software testing field in the long run, you need to have great soft skills, as well. There are quite a few non-technical skills that are required for being successful in testing. Now, let's have a look at the various soft skills that make you a successful software tester.

Autonomous Testing: A Complete Guide

Autonomous testing is an emerging testing practice in which tests are completely created, driven, and managed by AI/ML, eliminating the need for human intervention. Essentially, autonomous testing is a higher level of automation for automation testing. This is a recent shift in the testing industry as AI technologies evolve to be more advanced, opening a promising era of human-machine integration testing.

Kong Summit 2022 #DevOpsSpeakeasy with HSBC's Jen Goodison and Gareth Ainsworth

What are the challenges as a bank to deploy a new API platform? HSBC's Jen Goodison and Gareth Ainsworth join JFrog's Baruch Sadogursky to discuss at Kong Summit 2022. Learn by HSBC chose Kong to help them enhance the power of APIs, and how the neural network of APIs allows HSBC to release faster, more security, increase control, consolidate APIs, and better serve their clients internationally.

Delivering an Automated Real Time Compliance Solution using Appian

In regulated industries (like Banking, FS, Insurance etc.), the sheer volume of regulatory/compliance changes each year combined with tightened budgets and skills shortages makes operationalizing compliance exceedingly complex. Realta Logic brings in specialized products and services in providing end to end compliance tooling for modern organizations. Yexle has partnered with Realta Logic to deliver a fully automated compliance process that can help reduce the costs associated with compliance. The latest Appian platform features helped to deliver the solution within weeks.

Data Preparation: 7 Easy Steps to Deliver High Quality Data

Think of a data professional (data scientist/data engineer/business analyst/…), and guess what they do all day. Design big data algorithms? Build state-of-the-art, scalable pipelines? Discover insights that drive business growth? Wrong. Data professionals spend over 40% of their time preparing data before they even start using it for their job. The data preparation process is the most time-consuming task in a data operative’s schedule.

Get To Know The Company That Is Making Data Apps Accessible For Fveryone.

Houseware is the winner of the 2022 Startup Challenge, and in this video, you’ll find out exactly why. Their vision was to enable users inside sales, product, and marketing to be more than just consumers of the Data Cloud dashboard—and to allow anyone to create data applications. Hear firsthand from the Houseware co-founders.

The 6 common data mistakes that could be holding your business back-and how to avoid them

Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights, just 1 in 10 executives believe that their employees can actually use data to make decisions.

How exploratory testing tools benefit QA teams

Exploratory testing is a successful method for locating undiscovered defects in software. However, many companies request that testers use scripted test cases based on predetermined product requirements rather than exploratory testing. Although scripted test cases help find faults in a product's code, exploratory tests assist the QA team in finding difficult-to-predict problems within the features of the finished product.