AI is developing rapidly. From generative AI and copilots to AI agents, predictive models and intelligent automation, organisations have more and more opportunities to apply AI across their processes and services.
Hotel chain: Implementing AI applications that deliver business valueIf you ever buy something online, chances are you’ve seen this question pop up: “How likely are you to recommend us?” For many organisations, that single number has become a holy grail. Everyone talks about NPS — from marketing teams to senior manag…
Net Promoter Score (NPS) as a starting point for better customer experienceIn 2019, Nienke Halma joined Digital Power as a Data Analyst. Seven years later, she has progressed to the management team. As Head of Operations, she connects strategy with day-to-day operations, turning the ambitious goals of the data and AI consu…
Growing without limits: how Nienke connects strategy and operationsWant to move faster with a strategic view on your data? Every quarter, Elias zooms in on the market developments that impact your data-driven organisation.
Macro Matters 2026-Q2 | This needs to be on your AI roadmap by August 2026For professionals in data, analytics, martech and customer experience, Digital Velocity is one of the events where developments become tangible. It brings together practitioners, partners and industry leaders to show how they approach AI, real-time …
Tealium Digital Velocity: AI is moving into productionLarge Language Models (LLMs) have quickly become a standard component in modern applications. Most developers start by integrating models such as OpenAI, Claude or similar providers through APIs. It is fast, convenient and requires very little infra…
Should you run LLMs locally?Exa is an AI company that develops a search engine and API that enable AI systems to intelligently search and analyse the internet. Their technology is used across domains such as finance, coding agents, news, recruitment and consulting, where large…
Exa: Faster AI search results with a scalable streaming data pipelineWhen you combine quantitative and qualitative data with the aim of genuinely understanding your customers, you create real value. This approach allows you to identify the actual issues customers face and gain insight into their experiences. By addre…
Truly enhance the customer experience with customer experience analyticsOnly two per cent of Dutch organisations have a mature data strategy, according to HPE research. The other 98 per cent? They are building their AI ambitions on quicksand. Because without a data strategy, AI does not become a smart assistant, but one…
No data strategy, no future (and therefore no autonomy)Many organisations invest heavily in attracting new customers, but often forget what truly matters: Do users actually see the value of the product? In this blog, we’ll explain what "first value" is and how to effectively measure this moment. We’ll a…
From ‘Aha!’ moment to activated users