Digital Innovation Transforms Efficiency and Quality at Siegwerk
By implementing a home-grown solution, the company was able to slash dosing errors and enhance efficiency
By implementing a home-grown solution, the company was able to slash dosing errors and enhance efficiency
The development of risk appetite statements are an important element of an organisation’s risk management strategy.
Key insights and strategies to help enterprise IT leaders successfully navigate the transition to the dynamic world of startups.
The company streamlined key applications and transitioned to virtual machines, overcoming technical debt and infrastructure challenges to improve efficiency by 60 per cent and optimise licensing by 90 per cent.
Maximise the benefits of enterprise platforms: A modern architecture approach for quick turnaround and cost efficiency.
Part 2 of our practical innovation tool. Discover how to innovate in IT successfully.
ICT policies often leave even seasoned executives uneasy, perceived as lengthy, endless compliance exercises yielding little reward beyond periodic reviews.
Generative artificial intelligence (AI) has delivered significant return on investment (ROI) for software development teams and is recognised as more of an opportunity than a threat. With big tech and venture capital firms continuing to invest in AI-assisted software development tools, this trend is going to accelerate. However, concerns around IP and security are not yet fully resolved.
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.