O'Reilly

Fall 2021 Architectural Katas - Finalists and Winners

Kubernetes in Three Weeks with Jonathan Johnson

Software development in the mission-critical cloud era - Hillery Hunter (IBM)

Where do great architectures come from? Mary Poppendieck (Lean Software Development Series)

The elephant in the architecture- Martin Fowler (ThoughtWorks)

Architecture.Next: Invalidating old axioms Mark Richards (Self-employed)

What's new at O'Reilly Strata & AI Conference 2020 (San Jose, CA)

O’Reilly Infrastructure & Ops Conference 2020

O'Reilly Strata Data and AI Conference | London, UK

O'Reilly Strata Data and AI Conference 2020

O'Reilly Software Architecture Conference | New York 2020

When flying is cheaper than standing still, Raffaello D’Andrea (Verity | ETH Zurich)

My love letter to computer science is very short, James Mickens (Harvard University)

The three-headed dog: Architecture, process, structure, Allen Holub (Holub Associates)

Zero to ML hero with TensorFlow 2.0 - Laurence Moroney (Google)

RL in real life: Bringing reinforcement learning to the enterprise - Edward Jezierski (Microsoft)

Recent trends in data and machine learning technologies - Ben Lorica (O'Reilly Media)

Going beyond supervised learning - Srinivas Narayanan (Facebook AI)

Enabling AI’s potential through Wafer-scale integration - Andrew Feldman (Cerebras Systems)

O'Reilly TensorFlow World Conference 2019

Designing computer hardware for artificial intelligence - Michael James (Cerebras)

Toward learned algorithms, data structures, and systems - Tim Kraska (MIT)

Why Amazon Cares about Open Source - Arun Gupta (sponsored by Amazon Web Services)

The New World of Work - Josh Bersin

The Future of Machine Learning is Tiny - Pete Warden (Google)

Work as imagined and work as done: Mind the gap - Steven Shorrock (EUROCONTROL)

Privacy, identity, and autonomy in the age of big data and AI - Sandra Wachter, University of Oxford

Making data science useful. Cassie Kozyrkov (Google) Strata Data Conference UK 2019

Making the future, James Burke (Author) Strata Data Conference UK 2019

Machine Learning for Personalization - Tony Jebara (Netflix)

The Magic of AI with Matt Hausmann (Dell EMC) & Sophia the Robot at O'Reilly AI Conference NY 2019

Applied machine learning at Facebook - Kim Hazelwood (Facebook)

Strata Data Conference in San Francisco - March 25-28, 2019

From the Trenches: An Interview with Mark Richards - with Neal Ford (Thoughtworks)

The Future of Cloud-Native Programming (sponsored by IBM) - Tamar Eilam (IBM Research)

Kafka at PayPal: Enabling 400 billion messages a day

The Freedom of Kubernetes - Kris Nova (Heptio)

Why software architects fail and what to do about it - Stefan Tilkov (INNOQ)

The missing piece- Cassie Kozyrkov (Google)

Current RISE capabilities and its evolution into the future- Damián Avila (Anaconda, Inc.)

nbinteract: Shareable interactive web pages from notebooks

I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)

How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future

Terraforming Jupyter: Changing JupyterLab to suit your needs

Notebooks at Netflix: From analytics to engineering- Michelle Ufford (Netflix)

Visualizing machine learning models in the Jupyter Notebook- Chakri Cherukuri (Bloomberg LP)

Scheduled notebooks: A means for manageable and traceable code execution- Matthew Seal (Netflix)

What Shapes the AI that’s Shaping our World? - Meredith Whittaker (AI Now Institute, NYU)

Critical Path-driven Development - Jaana B. Dogan (Google)

Sound Design and the Future of Experience - Amber Case (MIT Media Lab)