​No presentations. No sales pitches. Just people dealing with the same data problems.

​(side note: The language of these sessions will depend on Your language of choicie ENG/PL)

​Dateonic.com , together with FreightTech.org, invites a selected group of 20–30 data leaders from logistics, transportation and maritime companies for an afternoon of peer-to-peer discussion and networking.

​Instead of another conference packed with presentations, we want to put the people actually responsible for data projects around the same table.

​Participants will join small thematic roundtables of approximately 5–6 people. Each table will focus on one real challenge currently faced by data teams in logistics and maritime organisations.

​The format is simple:

​one problem → one table → people facing the same challenge → 60 minutes of open discussion.

​What works? What doesn't? What have others already tried? Where are companies getting stuck, and which approaches are actually producing measurable results?

​At the end of the session, each table will share its most important conclusions with the rest of the group.

​No lengthy presentations. No pitches.

​Just practical conversations between people working with data every day followed by networking, food and drinks.

​Who is it for?

​The event is designed for people responsible for data, analytics and data-driven transformation within logistics, transportation and maritime organisations, including:

​Data Analytics Managers, BI Managers, Data Engineering Managers, Data Platform Managers, Data Project Managers, Heads of Data, Heads of BI, Data & AI Leads and Digital Transformation Managers.

​You choose what to discuss.

​Before the event, invited participants will vote on the challenges they would most like to discuss.

​The five topics receiving the most votes will become our roundtables.

​VOTE HERE - Open Google Form

​DATA

​1. Who Owns the Data?
Who is responsible for operational data in your organisation? What happens to your data when you change systems or vendors and do you actually retain control of it?

​2. Garbage In, AI Out
How do you get your organisation to take data hygiene seriously? Who is responsible for data quality, and what actually works when keeping data clean is nobody’s priority?

​3. One Company, Ten Systems, No Single Truth
Which systems are you running across your organisation, and how do you deal with different systems telling different versions of the same story?

​4. Ready for What’s Coming?
How are you preparing for upcoming data, digitalisation and reporting regulations? What are you already doing and what are you still putting off?

​REAL-TIME & AUTOMATION

​5. Real-Time Visibility: How Real Is Real Time?
How do you make sure “real time” is more than just a name? Which data actually needs to be real time, where does it come from, and where does real-time data genuinely make a difference?

​6. Track & Trace Without the Manual Work
What is helping you automate data collection and data entry? How are you reducing the manual work involved in collecting information from carriers, terminals, systems, emails and other sources?

​AI

​7. AI in Logistics: What Actually Works?
Which AI use cases are actually working in your organisation? What has moved beyond the pilot stage and delivered measurable value and what turned out not to work?

​8. Excel as the Operating System
Do you also have that one Excel file the company would collapse without? How long can a critical process really depend on a spreadsheet, and what finally makes an organisation replace it?

​TRANSFORMATION

​9. Build vs Buy vs Own
What should you build, what should you buy, and what should you keep under your own control? How do you make these decisions and what have previous projects taught you?

​10. Predicting the Unpredictable
How accurate are your predictions? What have you managed to predict; ETA, delays, congestion, capacity, disruptions and how did you get to the point where people can actually make decisions based on those predictions?