Welcome to our blog
- All
- AI
- Adobe
- Analytics & business intelligence
- Best practices
- CDP
- CRO & personalization
- Code & tech
- Conferences & events
- Consent Management
- Conversion funnel
- Data engineering & architecture
- Data strategy
- Digital responsibility
- FELD M in Conversation
- Marketing measurement
- Privacy & data protection
- Product analytics
- Web & digital analytics
Testing agentic analytics tools: Progress and perspectives after 3 months
Picture the scene: You ask an agentic analytics tool for revenue from returning customers in 2025. You get your numbers, ask a few follow-ups, then grab a coffee and have a chat with a colleague. You come back, settle into your chair, and type "show me ...
AI labeling requirements: The EU Code of Practice for marketing and communication
Starting August 2, 2026, AI labeling requirements will become mandatory under Article 50 of the EU AI Act. To help businesses prepare, the EU Commission set up two working groups to develop a "Code of Practice on Transparency of AI-Generated Content." ...
Why you should stop treating AI like it's one thing (plus new research)
Recent research uncovered nearly 700 real-world cases of AI agents exhibiting deceptive behavior (Source: The Guardian). Not in controlled lab conditions. In actual use. The findings showed a five-fold surge in scheming behavior over six months. In this ...
Read moreHow to detect AI traffic in Adobe Analytics: A practical guide
As digital analytics experts at FELD M, we've observed a significant shift in how users are consuming online content. It’s no longer just humans browsing your pages and products. AI agents are now acting on behalf of humans, searching for information, ...
Read moreDo you really need an agentic analytics tool? 7 essential questions to ask
Introduction Everywhere you look, there’s a new promise about agentic analytics: BI tools that don’t just show data but think, suggest, and even act on your behalf. It sounds great, and maybe it is.
Read moreHow to build a data strategy that actually works: distilled insights from our podcast appearance
Introduction Data strategy is no longer just a nice-to-have for businesses—it’s a necessity. Large, complex organizations need a clear and actionable strategy to stay competitive in today’s market. But building and executing a data strategy that delivers ...
Read moreInsights from the Databricks Data + AI Summit 2025: From Data to AI applications
Introduction Our team recently attended this year’s Databricks Data + AI Summit, where industry experts and data practitioners gather annually to explore how data platforms are evolving to support real-world AI applications. I'm Joāo Santos, a Data ...
Read morere:publica 2025 – Your data-focused review between AI hype and digital sovereignty
re:publica has long evolved beyond a simple class reunion for the online community: The largest conference on the digital society in Europe brings tech topics together with politics, culture and society - a holistic view that is often neglected in ...
Read moreSimplifying RAG systems: An open-source blueprint for scalable and customizable development
Large Language Models (LLMs) are being widely adopted across industries to optimize business processes. Retrieval-augmented generation (RAG) systems, the focus of this blog post, enhance LLMs by incorporating internal knowledge that the models wouldn't ...
Read moreThe AI literacy canvas: A canvas a day keeps the chaos away
AI literacy is no longer just a nice-to-have. From 2 February 2025, AI literacy will even be a legal requirement. Article 4 of the AI Act obliges companies to ensure their employees are AI literate. But that's not all: organizations and their employees ...
Read moreYou may also be interested in:
-
Whitepaper
Data strategy study 2023
5 things that successful data-driven companies do right
-
On-demand webinar
Data strategy
-
Newsletter
"All Things Google" Newsletter
Get the latest updates from Google's universe!