Welcome to a special episode of DCR, recorded live from the 10th annual Data Center Anti Conference in Austin, Texas! In this episode, host Jesse Sargent sits down with Daniel Aguirre, the Commercial Director at Nucor, to dive deep into the rapidly evolving data center industry and explore how Nucor—North America's largest steel producer—is helping drive unprecedented growth and innovation. For more about us: https://linktr.ee/overwatchmissioncritical

This week Gerard will be presenting Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training By Evan Hubinger, Carson Denison, Jesse Mu, Mike Lambert, Meg Tong, Monte MacDiarmid, Tamera Lanham, Daniel M. Ziegler, Tim Maxwell, Newton Cheng, Adam Jermyn, Amanda Askell, Ansh Radhakrishnan, Cem Anil, David Duvenaud, Deep Ganguli, Fazl Barez, Jack Clark, Kamal Ndousse, Kshitij Sachan, Michael Sellitto, Mrinank Sharma, Nova DasSarma, Roger Grosse, Shauna Kravec, Yuntao Bai, Zachary Witten, Marina Favaro, Jan Brauner, Holden Karnofsky, Paul Christiano, Samuel R. Bowman, Logan Graham, Jared Kaplan, Sören Mindermann, Ryan Greenblatt, Buck Shlegeris, Nicholas Schiefer, Ethan Perez.

All events will be hosted on a Google Meets video call. Once a month we also host an in-person event in our London office - watch this space for updates.

All recorded presentations can be found in our YouTube channel (don't forget to subscribe!).

We look forward to seeing you there!

Join us for an insightful evening of networking and knowledge sharing at the ClickHouse Community Meetup in Berlin! If you're passionate about data analytics, database technology, and cutting-edge solutions, this is the event for you. Our panel of experts will delve into the world of data, analytics, design practices, ClickHouse, exploring its capabilities, real-world applications, and best practices.

To secure your spot, make sure you register ASAP! Space is limited!

And, keep your eyes peeled for more details because, trust us, you won't want to miss this one. We promise it won't be your average business meeting. See you there!

Panelists: Deutsche Bank - Pavel Yakunin, Principal Software Engineer / Data Architect / Chief Technology Manager Checkly - Daniel Paulus, Director of Engineering Affilimate - Gernot Hoeflechner, Co-Founder ClickHouse - Tyler Hannan, Sr. Director Developer Advocacy Hasura - Jesse Martin

Agenda: 1800 - 1830

• Arrival and networking with drinks

1830 - 1845

• Welcome and Opening Remarks
• Introduction of Panelists

1845 - 1945 - "Building the modern data stack" A panel discussion, providing attendees with valuable perspectives on the ups and downs of constructing a modern data stack. The mix of planned questions and active audience participation promises an engaging and informative meetup session.

• How do you consider choosing technology inside of your organisation?
• How do you balance hype (or excitement) for new technology vs. what works?
• What was the biggest surprise, that you can share, in your journey to architecting your current solution?
• We all know that cost matters...what are the hidden costs in your implementation that you have discovered?
• What advice would you have for others who are earlier in their journey or are building out their infrastructure now?

2000 - 2100 Food & Drinks

Location Detail: The Berlin Technology Centre is a brand-new and fast-growing technology hub for Deutsche Bank located in Berlin. It mainly supports Deutsche Bank's Investment Bank and Corporate Bank and is one of five strategic global Technology Centre locations across Europe, Asia, and the US. The Berlin Tech Centre develops cutting-edge technology solutions for its business, employing various well-established and modern tools and technologies. Its Investment Bank teams deliver pricing, trading, and risk management solutions for Deutsche Bank's industry-leading Fixed Income and Currency business, including complete and hybrid Cloud setups and ultra-low latency technologies. The Corporate Bank teams address the needs of small businesses to big corporations, in areas such as Trade Finance and Cash Management, including its large-scale payments systems. Currently, more than 1,200 engineers belong to the Berlin Tech Centre. Diversity in nationality, gender, and background is a key success factor at Deutsche Bank and one of many reasons why Berlin is an ideal location. Ready for a new challenge and interested in working on exciting engineering tasks on scale? Explore opportunities and become part of the Global Deutsche Bank technology team.

SwitchToBanking

Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you’re already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work! About the Technology An efficient data pipeline means everything for the success of a data science project. Dask is a flexible library for parallel computing in Python that makes it easy to build intuitive workflows for ingesting and analyzing large, distributed datasets. Dask provides dynamic task scheduling and parallel collections that extend the functionality of NumPy, Pandas, and Scikit-learn, enabling users to scale their code from a single laptop to a cluster of hundreds of machines with ease. About the Book Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you’ll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you’ll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker. What's Inside Working with large, structured and unstructured datasets Visualization with Seaborn and Datashader Implementing your own algorithms Building distributed apps with Dask Distributed Packaging and deploying Dask apps About the Reader For data scientists and developers with experience using Python and the PyData stack. About the Author Jesse Daniel is an experienced Python developer. He taught Python for Data Science at the University of Denver and leads a team of data scientists at a Denver-based media technology company. We interviewed Jesse as a part of our Six Questions series. Check it out here. Quotes The most comprehensive coverage of Dask to date, with real-world examples that made a difference in my daily work. - Al Krinker, United States Patent and Trademark Office An excellent alternative to PySpark for those who are not on a cloud platform. The author introduces Dask in a way that speaks directly to an analyst. - Jeremy Loscheider, Panera Bread A greatly paced introduction to Dask with real-world datasets. - George Thomas, R&D Architecture Manhattan Associates The ultimate resource to quickly get up and running with Dask and parallel processing in Python. - Gustavo Patino, Oakland University William Beaumont School of Medicine