You wouldn’t stream 4K video on a Windows 95 machine. But that’s exactly what’s happening in automotive right now. We’re investing in smart factories, AI tools and cloud systems — while leading with outdated mindsets that don’t fit the pace or complexity of today’s world. We’ve both been in this industry for decades, and we’ve…
Migrating enterprise resource planning (ERP) can pose significant challenges for organisations. As well as cost and resource pressures, there is also the possibility of unexpected outcomes. In fact, as many as two-thirds of ERP projects fail, with inadequate planning, poor data management and badly defined requirements among the main causes.1 Given these statistics, it is…
Perhaps not since the splitting of the atom has technology and morality collided so forcefully as it has with AI. AI brings with it tremendous potential for good, but also for harm – both in the wider world and for organizations. For companies, it can streamline workflows and speed up processes, but it can also…
The inherent complexity of the software development lifecycle (SDLC) means it gives rise to a multitude of potential pain points, from unclear requirements and scope creep to communication breakdowns and budget overruns. Some studies have revealed only 16% of projects are completed on time and within budget. This has led organizations to increasingly deploy AI…
Beyond reactive assistance Recent advances in agentic AI bring autonomous systems closer to reality for workplaces that seek to be both intelligent and human centered. Unlike traditional AI assistants waiting for commands, agentic systems use sophisticated reasoning to identify opportunities and execute complex tasks independently. While agentic AI systems can respond to prompts, at their…
Recent advances in generative AI are transforming manufacturing through intelligent assistants and autonomous systems. These technologies address key industry challenges including worker retention, productivity, and operational efficiency through two key approaches: AI Copilots and agentic AI. The role of Microsoft Copilots Copilots represent some of the most impactful solutions built on generative AI, benefiting both…
Since the emergence of AI-based coding assistants, enterprises have rapidly adopted these tools, making them a strategic priority for CIOs. While developers are familiar with assistive technologies like IntelliSense and advanced debugging in modern integrated development environments (IDEs), AI coding assistants promised significant productivity gains that attracted immediate attention. Over the past year, organizations invested…
In the pharmaceutical regulatory process, health authority queries (HAQs) represent a critical checkpoint during drug application reviews. These queries from regulatory bodies such as the US Food and Drug Administration, the European Medicines Agency, or India’s Central Drugs Standard Control Organization require pharmaceutical companies to provide prompt, accurate, and well-structured responses that address specific concerns. …
Generative AI is transforming business operations, but its unpredictable nature introduces unique quality challenges that traditional testing methods can’t address. As a CIO, your reputation, regulatory compliance, and security depend on implementing proper quality assurance for these systems. The quality challenge Unlike deterministic systems, GenAI produces different outputs for identical inputs, creating four critical quality…
CIOs must overcome fragmentation across infrastructure, platforms, and user experiences — especially within globally distributed organizations. Disparities in system maturity, integration standards, and adoption rates often lead to inconsistent access, disconnected workflows, and diminished workforce productivity. A major gap lies in the lack of contextual intelligence across enterprise applications. Employees increasingly expect systems to anticipate…