Articles
Key Takeaways AI agents augment developers more than they replace them. Human expertise remains critical for architecture, validation, security, and governance. Uncontrolled AI-generated code can create significant technical debt. Agentic workflows...
Key Takeaways on the SaaSpocalypse The “SaaSpocalypse” refers to the growing pressure on SaaS valuations driven by the rise of generative AI and autonomous AI agents. The software most at risk is often platforms that are undifferentiated, easily...
Key points to remember about Datarooms Data rooms are secure online repositories used to share confidential information during due diligence. They enable structured, controlled, and auditable collaboration among multiple stakeholders. A...
Key takeaways Artificial Intelligence (AI) drives business value across multiple areas: Sales growth: personalised customer experiences, predictive analytics, lead scoring, and AI-powered chatbots. Operational efficiency: automated workflows,...
Key takeaways about the Builder.ai collapse and AI washing The collapse of Builder.ai exposed the hidden risks behind overhyped artificial intelligence claims and laid bare a broader phenomenon: AI washing. Builder.ai claimed to automate software...
Key takeaways AI systems processing personal data must comply simultaneously with both the EU AI Act and the GDPR, as the two regulations are complementary. Organisations deploying AI systems should establish dedicated governance structures to...
Key takeaways AI is reshaping business models by transforming value chains, pricing structures and customer interactions beyond simple automation gains. AI-driven automation changes the nature of tasks and creates new services, functionalities and...
Key takeaways Generative AI is reshaping the software industry by transforming market dynamics, accelerating innovation, and redefining business models. AI can increase software development productivity by up to 50%, enhancing coding efficiency,...
Key takeaways AI due diligence helps investors evaluate genuine AI capabilities and detect AI washing risks. AI maturity audits assess AI complexity, scalability, investment levels and technical credibility. AI audits combine questionnaires,...
What is an ‘AI system’?An AI system is a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives,...
The AI Bandwagon: More than just a buzzword The real game-changer in recent years has been the rise of generative AI. This type of AI goes beyond the predefined functionalities of earlier applications, venturing into the realm of creating new...
Key takeaways AI-powered tools can improve source code quality by identifying coding errors, detecting security risks and optimising code during the development process. Machine learning models trained on large codebases can recognise coding...
Key takeaways AI-generated code is derived from existing sources and may be subject to restrictive licences, creating risks of copyright infringement if reused improperly. Developers lack visibility on the legal status and licensing of code...
Key takeaways AI raises complex intellectual property issues, particularly regarding ownership of content generated from existing data sources. AI systems can unintentionally infringe IP rights if trained on protected materials and reproduce...