Dev-Productivity with AI & Flink's Data Platform | Data Engineering Meetup
About the event
Its time again! The days slowly start to get shorter again and the wind picks up, so lets get cozy together with our two presenters at our next Berlin Meetup.
[Anil Kumar Kanasani](https://www.linkedin.com/in/anil-kumar-kanasani/): Enhancing Developer Productivity Through AI Assistants
This session explores how development teams can improve productivity by effectively leveraging AI assistants. Using real experiences from our team, we will discuss our business context, team structure, current collaboration challenges, and practical solutions that enable knowledge sharing between team members, provide greater visibility into other areas of product development, and help engineers deliver greater business value.
[Pawel Wiszniewski](https://www.linkedin.com/in/pawel-wiszniewski/): Behind Every Great Dashboard…
The Data Analytical Platform is a core part of our Data Platform at Flink, enabling analysts across the company to transform data and build reports and dashboards that drive business decisions. But making all of this simple for analysts requires quite a bit of work behind the scenes. Reliability, ease of use, and flexibility were our main goals when designing the platform. In this presentation, I’ll take you behind the dashboards and show how the platform works from both perspectives: the analysts using it and the Data Platform engineers building and running it.
✧ ✧ ✧ What to expect:
• Two expert talks and Q&A • Networking opportunities in our great Creator Space • Some snacks & drinks to fuel your thoughts: )
✧ ✧ ✧ Timetable:
• 18:30 - Event admission • 18:50 - Welcome & Introduction • 19:00 - Anil Kumar Kanasani: Enhancing Developer Productivity Through AI Assistants • 19:30 - 5 minutes break • 19:35 - Pawel Wiszniewski: Behind Every Great Dashboard… • 20:05 - Snacks, Drinks & Networking • 21:30 - End
✧ ✧ ✧ More on the -> [applydata data engineering meetup page](https://applydata.io/data-engineering-meetup/). Our goal is to form a local data-loving community, so join us and let's talk data together! ✧ ✧ ✧
*At the event, sound, image and video recordings are created and published for documentation purposes as well as for the presentation of the event in publicly accessible media, on websites and blogs and for presentation on social media. By participating the event, the participant implicitly consents to the aforementioned photo and/or video recordings. Find [more information on data protection here](https://applydata.io/events/information-on-data-protection/).*
