Trigent

JUNE 27, 2022

Why Quality Assurance (QA) outsourcing is good for business. Equally important is the need to manage risk early with ongoing impact analysis, code quality reviews, risk-based testing, and real-time risk assessments. The software testing services is expected to grow by more than USD 55 Billion between 2022-2026.

Quality Assurance 52

Quality Assurance Development Team Review Weak Development Team Software Review 52

iTexico

OCTOBER 8, 2020

7 Ways to Improve Software Quality Which Will Not Break the Bank. The project management lifecycle is not complete without quality assurance and businesses are shifting their focus to build a high-quality product. Review, Revise and Remember. Promote Innovation. Employee Training.

Software Review 52

Software Review Banking Quality Assurance Software 52

Openxcell

NOVEMBER 28, 2023

Moreover, companies may lose customer data and experience a decline in sales due to inefficient customer service. Due to application security issues, there is distrust on the part of the customer. A robust security application helps you to mitigate the risks due to security failures and helps to enhance the brand value.

Enterprise 52

Enterprise Applications Software Review Weak Development Team 52

AWS Machine Learning - AI

JANUARY 26, 2024

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

Artificial Inteligence 118

Artificial Inteligence Generative AI Security Applications 118

Trigent

FEBRUARY 18, 2021

Follow good development practices: Joint backlog grooming exercises with all stakeholders, regular updates on progress, code analysis, and effective build & deployment practices, as well as establishing a workflow for defect/issue management, are paramount in ensuring the effectiveness of distributed DevOps.

Development Team Review 52

Development Team Review Software Review Weak Development Team DevOps 52

Trigent

MARCH 8, 2021

The foremost step is to identify the right partner, one with a stable track record, depth in QA, domain as well as technology, and the right mix of skill sets across toolsets and frameworks. During the evaluation stages, claims pertaining to industry depth as well as technical expertise abound and partners tend to overpromise.

Testing 98

Testing Software Review DevOps Technical Review 98

RapidValue

FEBRUARY 24, 2020

So an AI-enabled solution could review the current status of test, recent code changes, code coverage, and other metrics, and decide which tests to run. AI attempts to understand the patterns and relationships in different API calls made while exercising the UI. AI-based Test Automation Tools. Test.ai: Test.ai

Artificial Inteligence 83

Artificial Inteligence Artificial Intelligence Software Review Testing 83