AI Isn’t Your Biggest Risk. How You Run It Is.
AI will make mistakes. The real risk is how organisations manage those mistakes.
Research and perspectives on technology and how organisations are changing.
AI will make mistakes. The real risk is how organisations manage those mistakes.
The wealth management industry is entering this period of AI disruption from a position of relative strength.
How shared definitions, careful measurement and work across disciplines gave a global bank a coherent view of delivery.
Where human judgement meets machine autonomy, who decides how work should be organised?
How organisational design, data ownership and decision-making shape the adoption of AI.
In 2025, real-time translation took a major leap forward. In June, Apple introduced live translation across Messages, FaceTime, and Phone , and later Apple announced AirPods Pro 3 with in-ear translation powered by Apple Intelligence—allowing users to converse seamlessly across languages.
In an era of rapid technological advancement and increasing complexity, businesses are under pressure to deliver innovative solutions at unprecedented speeds.
As 2025 begins, a new buzzword is making headlines: ‘quantum’. The United Nations has declared 2025 the International Year of Quantum Science and Technology .
As a CEO who's seen their fair share of consulting engagements, I've learned what truly drives value.
In today’s competitive environment, strategic decisions that shape the future of a company must be grounded in data and robust and rigorous analysis, not just assumptions and intuitions.
There is widespread expectation that AI will transform business’s product and service offerings, strategy and operating models.
According to a Gartner survey, only 20% of workers are confident they have the necessary skills for the future.
One of the most iconic examples of animal problem-solving prowess is the New Caledonian crow, as shown above.
After recently attending the Canadian Science Policy Conference one comment made by Jean-Charles Fahmy (CEO of CENGN) stood out as to why companies don’t adopt new technologies: Companies don’t have a strategy; they don’t have a sandbox to test and innovate new technologies; they don’t have the required skills; and they have insufficient understanding of the return on investment.
Two inter-related drivers have highlighted the need for corporates to fundamentally re-evaluate, re-think and re-plan their strategy to create sustainable value.
In this three-part series, koralli unravels the complex relationship between artificial intelligence (AI) and intellectual property (IP), exploring what it means for you and your business.
Fast-growing startups are often building the plane while flying it, but the most successful ones are those that are genuinely focused on delivering value to all of their key stakeholders.
It’s widely recognised that one of the top challenges for startups is hiring the best resources and building a startup team.
Whilst this diagnosis is increasingly recognised—that current LLM and GAI training methods may infringe upon large swathes of intellectual property, as discussed in part one of this series—the path to a solution remains elusive.
Discussions are an essential part of life and business. They are the modem of exchange and the bed from which great ideas grow.
We receive information relentlessly. The acquisition of information is a necessity, and every decision we make is informed.
It’s clear that businesses must carefully manage how they integrate AI into their operation streams.