If bad data is the problem, is data governance the answer? AI promises to be smarter and faster than humans at an increasing number of tasks. It can detect patterns scientists might miss, process information faster than analysts and increasingly support decisions that once depended almost entirely on human judgement. In banking, that promise is […]
Artificial intelligence is reshaping the financial sector at an unprecedented pace. Banks across Europe are investing heavily in AI to improve fraud detection, automate operations and support faster decision-making. What was once considered an emerging technology is rapidly becoming part of day-to-day banking. However, AI is transforming more than the way banks operate. It is […]
Artificial intelligence is no longer an emerging technology for the financial sector. Across Dutch banks, AI is already improving customer service, lending, fraud detection and operational efficiency. As organisations move beyond pilot projects, however, they are discovering that successful AI implementation depends on far more than selecting the latest technology. In highly regulated environments such […]
Agentic AI in Dutch banking is reshaping how financial institutions approach ESG, compliance and AI governance. Discover why AI engineering is becoming the critical capability for building resilient, future-ready banking systems.
AI agents and copilots are changing the enterprise technology conversation, but the real challenge sits underneath the interface: data quality, governance, architecture and delivery capability.
Many NetSuite users are interested in AI, but the same concern keeps coming up: where will it create real value, and what will it cost to get there? The opportunity is significant, but the strongest results will come from businesses that connect AI to clear operational priorities, clean data and measurable outcomes.
We recently hosted an exhilarating event at Levy Global, where we explored the transformative power of GPT in data engineering. Our focus was on how this cutting-edge technology can streamline workflows and accelerate innovation.
AI and ML are reshaping how US businesses innovate, automate and compete. From healthcare and cybersecurity to finance and customer service, demand for specialist talent continues to rise. To attract the best people, companies need more than competitive salaries. They need a culture of innovation, clear development opportunities and access to the right recruitment networks.
Building an AI and machine learning team starts with understanding the business problems you need to solve. From defining key roles to creating cross-functional collaboration, companies need the right mix of technical expertise, domain knowledge and internal buy-in to turn AI/ML initiatives into practical business impact.




