00:18:30 · Neil C. Hughes, Steffen Hoellinger
[00:18:30] S0: And finally, you've spent this week digesting so much information, having so many conversations. When you take that long fourteen hour flight back to Berlin, what are you gonna be taking away from the event this week? What are gonna be thinking about? [00:18:43] S1: I would say lots of interesting conversations with very interesting people. And in that sense, it's unique quality also to meet and to assemble so many great people in one place and have great conversations that in the end will also inspire me to think about how that industry will develop and how AI will actually be fruitful for the benefit of our society, but also the companies that we work with in the future. [00:19:08] S0: And I'm gonna break the fourth wall now and say to everybody watching and listening, how are you gonna be using real time data to make a real measurable impact on your business next year and beyond? I'd love to hear your thoughts. Techtalksnetwork.com. I'll include links to everything that we've talked about today. But, well, Nathan, thank you for sitting down with today. [00:19:27] S1: Thank you so much. It was a pleasure.
00:19:27 · Steffen Hoellinger, Neil C. Hughes
[00:19:27] S1: Thank you so much. It was a pleasure. [00:19:28] S0: So a big thank you to Steffen for joining me today. I think his argument that businesses have far more control over their data than they do over their AI models competing for attention. I think it's a useful reminder, isn't it, that when tech leaders are being encouraged to commit to platforms that could look incredibly different this time next year. I think it was also good to hear about Kafka, how's that that's being used during the America's Cup, and how factories and retailers are all building systems that keep working even when cloud connections don't. So I will include links to Confluent, Streamhouse, the announcements, and the technologies that we discussed in the show notes, but I'd love to hear your experiences too. Are you investing in better data infrastructure before introducing AI agents, or are you finding that existing systems can already meet your needs? Share your thoughts, please. Techtalksnetwork.com, but I'm afraid it's time for me to fly back to The UK now. So send me a message over there, and I'll get straight back to you. So I will speak with you all again on the other side bright and early tomorrow morning. Speak with you then. Bye for now.