NVIDIA unveils groundbreaking AI computing infrastructure with Grace Blackwell systems and NVLink Fusion technology.
Key Points
Introduced Grace Blackwell system with unprecedented computational scaling
Launched NVLink Fusion for semi-custom AI infrastructure
Developed DGX Spark and DGX Station for AI developers and researchers
Why It Matters
These innovations represent a significant leap in AI computational power, enabling more complex models, faster inference, and democratising high-performance computing across industries. The modular approach reduces technological barriers and allows organisations to build customised AI infrastructure with unprecedented flexibility and performance.
Shopify’s CEO Tobi Lütke mandates compulsory AI integration across all company operations, signalling a radical approach to technological adaptation.
Key Points
All employees must incorporate AI into workflows
Teams must demonstrate AI’s capability before requesting additional resources
Leadership expects employees to reimagine work processes with AI agents
Why It Matters
This strategic directive represents a critical inflection point in organisational technological adoption, potentially creating significant competitive advantages while simultaneously introducing complex implementation risks around workforce readiness, technological dependency, and potential skill misalignment.
Swiss researchers develop AI diagnostic tools that outperform traditional tuberculosis detection methods
Key Points
AI echography tool achieves 93% sensitivity and 81% specificity
Swaasa Al platform detects tuberculosis via cough analysis with 86% accuracy
Smartphone-based diagnostics enable healthcare in remote regions
Why It Matters
These innovations could dramatically reduce healthcare barriers by providing rapid, cost-effective diagnostic capabilities in low-resource environments, potentially saving lives through early detection and minimising complex testing requirements.
Xiaomi’s autonomous factory produces smartphones without human intervention
Key Points
Operates 24/7 with zero employees
Produces one phone persecond (31 million annually)
Utilises advanced AI-driven platform for production optimisation
Can operate entirely in the dark – no light is needed. The factory’s machines and AI systems do not require illumination
Why It Matters
This technological breakthrough signals a profound shift in manufacturing, potentially disrupting traditional labour models, requiring substantial capital investment, and creating complex risk scenarios around technological dependency, supply chain resilience, and workforce transformation. The automation represents a significant technological leap with far-reaching economic and social implications.
AI Development Trends show companies pivoting from custom solutions to commercial AI tools
Key Points
Gartner reports AI project failure rates over 50% higher for inexperienced companies
Vendor-driven market emerging with pre-built AI functionalities
Focus shifting to incremental improvements rather than massive AI transformations
Why It Matters
The AI landscape is rapidly evolving, presenting significant risks for organisations investing in complex, in-house AI development. Companies without deep technological expertise face higher chances of project failure, potentially wasting substantial financial and human resources. The emerging trend suggests a more pragmatic approach: leveraging commercially available AI tools with proven functionality and lower implementation risk. This shift requires strategic reassessment of AI investment strategies, focusing on targeted, achievable improvements rather than ambitious, potentially unsustainable projects.
“In the next 3 to 6 months, AI is writing 90% of the code, and in 12 months, nearly all code may be generated by AI” – Dario Amodei
Key Points
AI code generation expected to surge in next 12 months
Complex coding requires human creativity and context understanding
All software engineers may become 10x software engineers
Why It Matters
The technological landscape is shifting rapidly, with AI potentially augmenting rather than replacing human software engineers. This presents significant implications for workforce development, technological innovation, and strategic planning in tech-driven industries. Key risks include potential over-reliance on AI-generated solutions, which might introduce unforeseen technical and security challenges.
Becoming an agile company means first and foremost rethinking the way we operate so that it is refocused on our customers, both internal and external. Externally, to produce maximum value for the customers who make the company money. Internally, to ensure that the company’s employees are in the best position to deliver this value.
It also means setting up a system that is conducive to change, a benevolent environment, a culture of experimentation and tolerance of failure.
Large insurers, reinsurers and banks often have a lot of external developers from vendors joining their projects on a regular basis. Whether these developers come from the largest outsourcing companies around the world or small and very specialized consultancies, they often lack the knowledge of the bigger picture of the projects they join and, let’s be honest, feel a bit lost at the beginning…
One very experienced Agile coach working for a large bank told us very recently that he asked some third-party developers working for this bank (many of them based offshore): “Do you know who your client is?”, “Do you know what the strategy is?”, “What is the goal of our project?”, “Who are the decision makers and main stakeholders on the client’s side?”, “What are the KPIs for our success?”, “What are the key technologies involved besides the ones you work with?”.
The developers looked at each other puzzled. They had no clue.
We believe in empowering people rather than giving one order after the next. We believe that knowing your customer helps deliver a higher value.
This is the reason why creating online courses for onboarding at a TEAM’s level, including for externals – not only at company-level for employees – is key. It saves precious time – and money. However, so far it has been too cumbersome and expensive to create such online courses.
Thanks to our Course Wizard, this is now possible and faster than ever.
Do you have another experience, agree, disagree? Thanks for letting us know! We always appreciate feedback. 🙂
If you have spent a bit of time with IT developers or project managers, you might have heard of “Agile”, “SCRUM”, “Lean”. These are key concepts and, in our experience, a must for any young and fast-growing company.
If you have found your way to this blog, it is quite probable that you work or have worked for an insurance or reinsurance company, or maybe a brokerage firm in this industry.
We see more and more projects popping up in the industry where companies claim to implement the “Agile” methodology. According to your experience, is/was this company truly agile?
Written by Patrice2 June 2025 
