Test Automation Using AI

Read about our Tx’s suite of accelerators – covering digital assurance, automation, data analytics, and security – provides businesses with a powerful toolkit to navigate this journey

The tech space and digital business era witnessed a sudden and concerning rise in cyber-attacks in the 2024 Q3. On average, 1,876 cyber-attacks per enterprise were recorded, 75% more than the 2023 Q3 data. If we talk about which industry was primarily affected, the education/research sector would top the list with 3,828 attacks per week, … Cyber Extortion: Protecting Your Business from Digital Blackmail 

AI-driven QA advisory and consulting services are reshaping quality assurance, moving beyond traditional testing to deliver proactive, intelligent solutions. From predictive analytics and automated testing to enhanced compliance and security, I discovered how integrating AI into QA processes enables companies to make the most of their business.

This blog discusses how AI-driven retail inventory management reshapes the industry by automating processes, enhancing data accuracy, and enabling real-time decision-making. With AI, retailers can forecast demand, streamline warehouse operations, and optimize stock levels, leading to cost savings and improved customer satisfaction. However, data quality, implementation costs, and system compatibility can impede integration.

The blog discusses how Natural Language Processing (NLP) transforms insurance fraud detection by analyzing vast amounts of text data to identify fraudulent patterns and anomalies. Techniques like entity recognition and sentiment analysis enable insurers to detect inconsistencies in claim submissions, enhancing fraud prevention accuracy and efficiency. NLP automates data extraction, reduces manual effort, and triggers real-time alerts, enabling timely responses to fraud.