The advent of AI coding tools developed by industry leaders like GitHub and CreateFuture is transforming the landscape of software development, driving significant productivity gains and enhancing code quality. By integrating these advanced technologies, companies report substantial time savings
As enterprises increasingly embrace digital transformation, integrating cloud and edge technologies, the complexity of securing these environments has significantly heightened. This new digital era brings to light a range of cybersecurity threats, particularly with the advent of generative AI,
Artificial intelligence (AI) is rapidly transforming the landscape of enterprise operations, and the excitement surrounding AI, especially generative AI (gen-AI) and predictive AI, is palpable across various industries. However, despite the growing enthusiasm, the question remains whether
As the realm of artificial intelligence (AI) continues to expand, businesses are increasingly focused on deploying both generative AI (gen-AI) and traditional predictive AI to enhance their operations. A recent study by Domino Data Lab highlights the significant interest and investment in AI from
The landscape of software development is undergoing a seismic shift, driven by the advent of AI coding tools. These tools are not just augmenting the efficiency and quality of coding practices but are also influencing the structure and policies within organizations worldwide. The insights derived
As digital transformations become ubiquitous, especially within Australia's critical infrastructure (CI) sectors, the dependence on open-source software components has introduced substantial vulnerabilities that must be addressed. Recognizing this, Australia's national science agency,
