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What is the relationship between social influence and the NBA? - Noah Gift (UC Davis)
Nutrition Data Science - Noah Gift (UC Davis ) & Michelle Davenport (Quantitative Nutrition)
From the trenches: Rachel Laycock - Rachel Laycock (ThoughtWorks)
Software development in the mission-critical cloud era - Hillery Hunter (IBM)
Intellectual control- George Fairbanks (Google)
Where do great architectures come from? Mary Poppendieck (Lean Software Development Series)
Sometimes I draw- Kai Holnes (ThoughtWorks)
The elephant in the architecture- Martin Fowler (ThoughtWorks)
Architecture.Next: Invalidating old axioms Mark Richards (Self-employed)
O'Reilly Software Architecture Conference - Attendee Testimonials - Berlin 2019
O'Reilly Software Architecture Conference 2019 - Berlin, DE
O'Reilly Software Architecture Conference | New York 2020
Kubernetes at scale: The good, the bad, and the ugly (sponsored by Oracle Cloud Infrastructure)
Building in security for open source projects, with Adrian Cockcroft (AWS)
When to trust AI, Marta Kwiatkowska (Trinity College, University of Oxford)
When flying is cheaper than standing still, Raffaello D’Andrea (Verity | ETH Zurich)
Accelerate with purpose, Walter Riviera (Intel)
The quest for high-quality data, Ihab Ilyas (University of Waterloo)
Start your engines, Ian Massingham (Amazon Web Services)
Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond, Zhe Zhang (LinkedIn)
Unlocking data capital with AI (sponsored by Dell), Arash Ghazanfari (Dell Technologies)
Real-time AI for entity resolution, Jeff Jonas (Senzing)
For AI to thrive, failure is necessary: A practical guide, Ritika Gunnar (IBM)
The power of knowledge at scale, Alexis Crowell Helzer (Intel)
Building and deploying AI applications and systems at scale, Ben Lorica and Roger Chen
New Norms of Cloud Native
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Cheryl Hung
Everything is a little bit broken; or, The illusion of control, Heidi Waterhouse (LaunchDarkly)
5 things Go taught me about open source? Dave Cheney (VMWare)
How to deploy infrastructure in just 13.8 billion years, Ingrid Burrington (Independent)
From the trenches
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Patrick Kua
,
Neal Ford
Observability: Understanding production through your customers' eyes, Christine Yen (Honeycomb)
Modern machine learning architectures
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Brian Sletten
Building high-performing engineering teams, 1 pixel at a time, Lena Reinhard (CircleCI)
Better Together Diversity Lunch (sponsored by Intuit)
My love letter to computer science is very short, James Mickens (Harvard University)
Cognitive biases in the architect's life
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Birgitta Boeckeler
Controlled chaos: The inevitable marriage of DevOps and security, Kelly Shortridge (Capsule8)
Three-Headed Dog
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Allen Holub
Reliability is the most important feature
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Lyon Wong
,
Ashar Rizqi
How do I start with Kubernetes in the enterprise with Karthik Gaekwad (Oracle Cloud Infrastructure)
The challenge of deploying ML in a real-world environment with Craig Wiley (Google)
Curating machine learning services and models to enable faster adoption with Ujval Kapasi (NVIDIA)
Building AI trust for healthcare and clinical industries with Asif Hasan (Quantiphi)
Deep learning to operationalize infrastructure with Prasad Vellanki (One Convergence)
How do we improve and integrate AI in the enterprise with Fred Reiss (IBM)
Creating a visual interface for machine learning with Martin and Robert (PerceptiLabs)
Harnessing and fine-tuning open source ML training models with Al Kari (Manceps)
Understanding the wholistic reach and scope of data
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Roland Scharrer
Developing capabilities to cope with new trends in software architecture
O'Reilly Software Architecture Conference 2019 - Berlin, DE
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Haiyun Xu
MLIR: Accelerating AI - Chris Lattner and Tatiana Shpeisman
Accelerating TensorFlow for research and deployment (sponsored by NVIDIA) - Ujval Kapasi
Personalization of Spotify Home and TensorFlow - Tony Jebara
“Human Error”: How can we help people build models that do what they expect - Anna Roth
Sticker recommendation and AI-driven Innovations on Hike messaging platform - Ankur Narang
TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow - Mike Liang
TensorFlow community announcements - Kemal El Moujahid
Enterprise-ready TensorFlow in the Cloud (sponsored by Google Cloud Platform) - Craig Wiley
TensorFlow, open source, and IBM (sponsored by IBM) - Frederick Reiss
Accelerating ML at Twitter - Theodore Summe
The ultimate guide to complicated systems, Jennifer Davis (Microsoft)
Secure reliable systems, Ana Oprea (Google)
TFX: An end-to-end ML platform for everyone - Konstantinos Katsiapis and Anusha Ramesh
The latest from TensorFlow - Megan Kacholia
TensorFlow Lite: ML for mobile and IoT devices - Sarah Sirajuddin and Jared Duke
TensorFlow.js: Bringing machine learning to JavaScript - Sandeep Gupta and Joseph Paul Cohen
Opening keynote - Jeff Dean
Inference chips running multi-model, parallel, low-watt solutions, with Alexis Crowell (Intel AI)
Tackling security, infrastructure, hardware for a better AI, with Thomas Henson (Dell EMC)
Large-scale machine learning at Facebook, Kim Hazelwood (Facebook), Mohamed Fawzy (Facebook)
Scaling the future of Machine Learning in enterprises, with Kurt Muehmel (Dataiku)
Considerations for maturing AI initiatives from PoC to Production, with Saikumar Devulapalli (Dell)
Data orchestration for AI, big data, and the cloud - Haoyuan Li (Alluxio)
Increasing AI productivity and efficiency (sponsored by Habana Labs) - Eitan Medina
Cultivating production excellence, Liz Fong-Jones (Honeycomb)
The cloud native elephant in the room, Bob Quillin (Oracle Cloud Infrastructure)
How do we heal? Alex Qin (Code Cooperative)
The SRE I aspire to be Yaniv Aknin (Google Cloud)
Channel into the universe of eventually perfect distributed systems Lena Hall (Microsoft)
From puzzles to products, Jessica Kerr (Atomist)
Community projects inform enterprise products, Lachlan Evenson and Bridget Kromhout
From the Trenches with Rebecca Parsons (ThoughtWorks)
Security and deception: Lessons from a professional liar Michael Carducci (Mago:Tech)
Cultivate your personal design heuristics Rebecca Wirfs-Brock (Wirfs-Brock Associates)
Architect as storyteller Nathaniel Schutta (Pivotal)
Open-endedness: A new grand challenge for AI - Kenneth Stanley (University of Central Florida)
Practical insights into deep reinforcement learning - Sahika Genc (Amazon)
On gradient-based methods for finding game-theoretic equilibria - Michael Jordan (UC Berkeley)
Overcoming challenges when implementing AI, with Eric Gardner (Intel)
Creating a fair and trusted AI enterprise, with Dinesh Nirmal (IBM)
Accelerate with purpose - Ananth Sankaranarayanan (Intel)
Going beyond supervised learning - Srinivas Narayanan (Facebook AI)
AI for Ophthalmology (sponsored by Dell Technologies) - Daniel Russakoff, Ph.D. (Voxeleron)
Enabling AI’s potential through Wafer-scale integration - Andrew Feldman (Cerebras Systems)
Unlocking the value of your data (sponsored by IBM Watson) - Dinesh Nirmal (IBM)
Developing AI responsibly - Sarah Bird (Microsoft)
Getting from A to AI - Eric Gardner (Intel)
Better Together Diversity Networking Lunch - OSCON 2019
Open source in the location technology industry, with Thomas Steenbergen (HERE Technologies)
Developer contribution within the open source community, with David Narayan (Home Depot)
Simplifying cloud native deployments, with Bart Verkoeijen (KintoHub)
O'Reilly AI Conference Sponsor Testimonials
Next Architecture - Christopher Guzikowski (O'Reilly Media, Inc.)
O'Reilly TensorFlow World Conference 2019
Accelerating AI Adoption - Ben Lorica (O'Reilly Media) Roger Chen (Computable)
O’Reilly Radar: Open Source Technology Trends - Roger Magoulas (O'Reilly Media)
Designing computer hardware for artificial intelligence - Michael James (Cerebras)
The Future of Hiring and the Talent Market with AI - Maria Zhang (LinkedIn)
AI and Systems at RISELab - Ion Stoica (UC Berkeley)
AI and Retail - Mikio Braun (Zalando SE)
Talking Open Source & Cloud Native, with Brad Topol (IBM)
Leveraging Eclipse Che for developers, Dave Neary and Venkat Balabhadrapatruni (Red Hat, Broadcom)
Decentralized architecture patterns, with Asanka Abeysinghe (WSO2)
The evolution of open source in enterprise environments, with Thomas Grassl (SAP)
Getting the most out of service mesh, with Neeraj Poddar (Aspen Mesh)
Toward learned algorithms, data structures, and systems - Tim Kraska (MIT)
What does open source need from CI/CD? Vivek Ravishankar (CircleCI)
Utilizing the HPE development community, with Alex Mejias (Hewlett Packard Enterprise)
Built to Last - Building and Growing Open Source Communities - Kay Williams (Microsoft)
Managing Machines - Pete Skomoroch (Workday)
Open Source Force Multipliers - Adrian Cockcroft (Amazon Web Services)
O'Reilly Open Source and Frank Willison Awards
Ask Not What Brands™ Can Do For You - VM Brasseur (Juniper Networks)
The War for the Soul of Open Source - Adam Jacob (Chef)
Better Living Through Software - Tiffani Bell (The Human Utility)
The Next Age of Open Innovation - Alison McCauley (Unblocked Future)
Why Amazon Cares about Open Source - Arun Gupta (sponsored by Amazon Web Services)
The Role of Open Source in Mitigating Natural Disasters - Brad Topol, Pedro Cruz (sponsored by IBM)
Infrastructure first - Everett Harper (Truss)
Top AI breakthroughs you need to know about - Abigail Hing Wen (Intel Corp.)
Using JupyterLab for flood map development - Seth Lawler (Dewberry)
O'Reilly Velocity Conference 2019 - Berlin, DE
Prioritizing Technical Debt as if Time and Money Mattered - Adam Tornhill (Empear)
The Future of Machine Learning is Tiny - Pete Warden (Google)
Choices of Scale - Michael Feathers (R7K Research and Conveyance)
Scaling teams with technology, Chen Goldberg (Google)
Software engineering and mastering the production of software, with Hans Dockter (Gradle)
Unlock the power of data; embrace intelligent+ (sponsored by Dell Technologies) Frank Wu
Unifying analytics and AI on big data for faster insights at scale - Ziya Ma (Intel)
DevSecOps and valuing your security development pipeline, with Chris Black (CircleCI)
Improving CDN with the Verizon Media Platform, with Dave Andrews (Verizon Media)
Defining the 'edge' in edge computing, with Wesley Reisz (Section)
Cloud-native application architecture for decentralized deployments, with Asanka Abeysinghe (WSO2)
What is good architecture and why it matters, with Alexander von Zitzewitz (hello2morrow)
The evolution of SRE and the reliability of code, with Tal Weiss (OverOps)
DevOps and Microsoft's acquisition of GitHub, with Dave McKinstry (Microsoft)
Why it’s the golden age for developers with Bob Quillin (Oracle Cloud Infrastructure)
Training within the Go community, with Bill Kennedy (ArdanLabs)
OSCON 2010: Rob Pike, "Public Static Void"
Excellent Tech Talks
Work as imagined and work as done: Mind the gap - Steven Shorrock (EUROCONTROL)
Accelerating AI on Xeon through SW Optimization - Huma Abidi (Intel)
Lessons learned while evolving Box’s database infrastructure - Tamar Bercovici (Box)
Unlocking innovation in AI - Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
The Next Big Wave (sponsored by AWS) - Zaheda Bhorat (Amazon Web Services)
Practical performance theory - Kavya Joshi (Samsara)
Sustaining ML in the enterprise, Ben Lorica (O'Reilly Media) Strata Data Conference UK 2019
The enterprise data cloud, Mick Hollison (Cloudera) Strata Data Conference UK 2019
Strata Data Awards: Winners Announced
Artificial Intelligence - the “refinery” for Data - Nick Curcuru (Mastercard)
The Journey to the Data-driven Enterprise from the Edge to AI - Amy O'Connor (Cloudera)
Data Fueling AI of the Future - Thomas Henson (sponsored by Dell Technologies)
The unstoppable rise of white box data, Chris Taggart (OpenCorporates) Strata Data Conf UK 2019
Building data science capacity in your org, Shingai Manjengwa (Fireside Analytics) Strata UK 2019
A Strategy for the Journey to AI (sponsored by IBM) - Dinesh Nirmal (IBM)
How AI Adaptive Technology can Upgrade Education Industry - Joleen Liang (sponsored by Squirrel AI)
Scoring your Business in the AI Matrix (sponsored by Dataiku) - Jed Dougherty (Dataiku)
Toward Ethical AI - Kurt Muehmel (Datahiku)
Increasing value in client collaborations with AI, with Prince Harfouche (Deloitte Consulting LLP)
Rise of the (advertising) machines, Michael Tidmarsh (Ogilvy) Strata Data Conference UK 2019
Sustaining Machine Learning in the Enterprise - Ben Lorica (O'Reilly Media)
Usman Khan (Oracle) interviewed at Strata Data Conference UK 2019
Combining creativity and analytics, David Boyle (Harrods) Strata Data Conference UK 2019
Automation of AI: Accelerating the AI Revolution (sponsored by IBM Watson) - Ruchir Puri (IBM)
LikeWar: How social media is changing the world… Peter Singer (New America)
O'Reilly Open Source Software Conference - Attendee Perspectives
Making real-world distributed deep learning easy with Nauta - Carlos Humberto Morales (Intel)
Privacy, identity, and autonomy in the age of big data and AI - Sandra Wachter, University of Oxford
Finding your North Star, Cait O'Riordan (Financial Times) Strata Data Conference UK 2019
Making data science useful. Cassie Kozyrkov (Google) Strata Data Conference UK 2019
Hacking the Vote: The Neuropolitical Universe - Elizabeth Svoboda (What Makes a Hero?)
Successful AI adoption with Rajendra Prasad (Accenture) at the O'Reilly AI Conference NY 2019
Danielle Dean (Microsoft) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019
Kurt Muehmel (Dataiku) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019
Joleen Liang (Squirrel AI Learning) interviewed at the O'Reilly Artificial Intelligence Conference
Making the future, James Burke (Author) Strata Data Conference UK 2019
Better Together Diversity Networking Lunch - Reshama Shaikh
Gadi Singer (Intel) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019
Machine Learning for Personalization - Tony Jebara (Netflix)
Decoding the Human Genome with Deep Learning - Olga Troyanskaya (Princeton University)
Better Together Diversity Networking Lunch - William Hill (Lawrence Livermore National Laboratory)
AI and Cryptography: Challenges and Opportunities - Shafi Goldwasser (UC Berkeley)
Better Together Diversity Networking Lunch - Cat Lopez (Walmart eCommerce Diversity & Inclusion)
4 real-world AI deployments at enterprise scale - Gadi Singer (Intel)
Applied machine learning at Facebook - Kim Hazelwood (Facebook)
Automated ML: A journey from CRISPR.ML to Azure ML - Danielle Dean (sponsored by Microsoft)
Is AI human-ready? - Aleksander Madry (MIT)
AI and the Robotics Revolution - Martial Hebert (Carnegie Mellon University)
Checking in on AI tools - Roger Chen (Computable) Ben Lorica (O'Reilly Media)
Overcoming data and AI challenges with Oracle Cloud Infrastructure, with Ben Lackey (Oracle)
Forecasting Uncertainty at Airbnb - Theresa Johnson (Airbnb)
Data Warehousing is Not a Use Case (sponsored by Google Cloud) - Jordan Tigani (Google)
The Enterprise Data Cloud - Mike Olson (Cloudera)
Strange Things 60 billion Bot Logs say about Human Nature - Lauren Kunze (Pandorabots)
Getting more from your data scientists with Chad Garrett (Dataiku)
Enterprise data cloud, data compliance, and ethics with Mike Olson (Cloudera)
Operational AI. Real-time decision making on real-time data, with Dinesh Nirmal (IBM)
Why Contribute to Open Source? - Julia Meinweld (Two Sigma Investments)
The Reporter's Notebook - Mark Hansen (Columbia Journalism School)
JavaScript, security, and the case for feature simplicity - Natalie Silvanovich (Google)
Test Measure Iterate - Balancing “Good Enough” & “Perfect” (Sponsored by NS1) - Kris Beevers
Democratizing Data - Tracy Teal (The Carpentries)
Velocity Conference Attendee Testimonials 2019
Disease Prediction Using the World's Largest Clinical Lab Dataset - Cristian Capdevila (Prognos)
Beyond Hype: AI in the Real World - Julie Shin Choi (Intel AI)
AI at Scale at Coinbase (sponsored by Amazon Web Services) - Soups Ranjan (Coinbase)
Raising AI to Benefit Business and Society (sponsored by Accenture) - Kishore Durg (Accenture)
Roaming Free: The Power of Reading Beyond Your Field - Glenn Vanderburg (First.io)
Design and Architecture: Special Dumpster Fire Unit - Matt Stine (Pivotal)
O'Reilly Software Architecture Conference CA 2019
From the Trenches: An Interview with Mark Richards - with Neal Ford (Thoughtworks)
Design after Agile: How to Succeed by Trying Less - Stuart Halloway (Cognitect)
JupyterHub for integrated learning modules - Mariah Rogers, Julian Kudszus (UC Berkeley)
How to be API-centric and microservice friendly with Asanka Abeysinghe (WSO2)
The difference between authentication and authorization with Joel Franusic (Okta)
The intersection of InfoSec and DevOps with Rich Graham (WhiteSource)
Immutable infrastructure from containers to serverless with James Bottomley (IBM)
Building engaged experiences with real-time applications with Simon Jones (PubNub)
Transforming legacy systems with modern technology demands with Kurt Monnier (Progress Software)
Creating maintainable code with Luc Brandts (SIG)
The Future of Cloud-Native Programming (sponsored by IBM) - Tamar Eilam (IBM Research)
Career Advice for Architects - Trisha Gee (Jet Brains)
O'Reilly AI Conference Sponsor Perspectives
How do Devops and SRE relate? (Sponsored by Google Cloud) - Dave Rensin
Using machine learning in workload automation (sponsored by Digitate) - Akhilesh Tripathi (Digitate)
Andrea Dobson-Kock interviewed at the O'Reilly Software Architecture Conference, London 2018
Introducing serverless to your organization - Mike Roberts (Symphonia)
Marco Palladino (Kong) interviewed at the O'Reilly Software Architecture Conference, London 2018
Pepijn van de Kamp (SIG) interviewed at the O'Reilly Software Architecture Conference, London 2018
Career advice for architects -Trisha Gee (JetBrains)
Why software architects fail and what to do about it - Stefan Tilkov (INNOQ)
Are microservices a security threat? - Liz Rice (Aqua Security)
Susan Etlinger (Altimeter Group) interviewed at the Artificial Intelligence Conference, London 2018
Potholes in the road from monolithic hell - Chris Richardson (Eventuate)
The challenges of migrating 150+ microservices to Kubernetes -Sarah Wells (Financial Times)
Fireside chat with Marc Warner and Louis Barson - Marc Warner (ASI), Louis Barson (BEIS)
Why Marketing Matters - Michael Bernstein (Reify)
Chaos Day: When Reliability Reigns - Tammy Butow (Gremlin)
Practical Ethics - Laura Thomson (Mozilla)
Continuous Disintegration - Anil Dash (Glitch)
Amy Heineike (Primer) interviewed at the Artificial Intelligence Conference, London 2018
Pete Warden (Google) interviewed at the Artificial Intelligence Conference, London 2018
AI for a better world - Ashok Srivastava (Intuit)
Accelerating AI algorithms with Gary Brown (Intel)
Using Amazon SageMaker to develop and deploy ML models with Ian Massingham (AWS)
Rethinking software engineering in the AI era - Yangqing Jia (Facebook)
Trust and transparency of AI for the enterprise (sponsored by IBM Watson) -Ruchir Puri (IBM)
Deep learning at scale: A field manual- Jason Knight (Intel)
Building artificial people: Endless possibilities and the dark side- Supasorn Suwajanakorn
AI and machine learning at Amazon (sponsored by Amazon Web Services) -Web Services
The state of automation technologies- Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
Notes from the frontier: Making AI work - Michael Chui (McKinsey Global Institute)
Why we built a self-writing Wikipedia -Amy Heineike (Primer)
AI in production: The droids you’re looking for -Jonathan Ballon (Intel)
Automating cognitive tasks to increase business value with Ashish Verma (Deloitte Consulting LLP)
The Evolution of Evolutionary Architecture - Rebecca Parsons
Evolutionary Architecture — Worldwide
ML on Code: Machine Learning Will Change Programming - Francesc Campoy Flores (source{d})
The journey to Julia 1.0: The "Ju" in Jupyter
How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future
The Emacs Ipython Notebook- John Miller (Honeywell UOP)
Using the MapD kernel for the Jupyter Notebook- Randy Zwitch (MapD)
Canadians land on Jupyter - Ian Allison, James Colliander
GenePattern Notebook: Jupyter beyond the programmer
The reincarnation of a notebook- Tony Fast (Ronin), Nick Bollweg (Georgia Tech Research Institute)
Jupyter's configuration system
Jupyter widgets- Maarten Breddels (Maarten Breddels), Sylvain Corlay (QuantStack)
Scheduled notebooks: A means for manageable and traceable code execution- Matthew Seal (Netflix)
JupyterLab- Ian Rose (UC Berkeley), Chris Colbert (Project Jupyter)
Terraforming Jupyter: Changing JupyterLab to suit your needs
"If the data will not come to the astronomer. . ." - Adam Thornton (LSST)
SWAN: CERN's Jupyter-based interactive data analysis service - Diogo Castro (CERN)
JupyterLab and Plotly: A data visualization power couple- Lindsay Richman (McKinsey & Co.)
Supporting reproducibility in Jupyter through dataflow notebooks
Reproducible quantum chemistry in JupyterLab - Chris Harris (Kitware)
Going native: C++ as a first-class citizen of the Jupyter ecosystem
nbinteract: Shareable interactive web pages from notebooks
What things are correlated with gender diversity: A dig through the ASF and Jupyter projects
Designing for interaction- Scott Sanderson (Quantopian)
Binder: Lowering the bar to sharing interactive software- Tim Head (Wild Tree Tech)
Learn by doing: Using data-driven stories and visualizations in the classroom
I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
Explorations in reproducible analysis with Nodebook- Kevin Zielnicki (Stitch Fix)
Scaling collaborative data science with Globus and Jupyter - Ian Foster
Reproducible science with the Renku platform- Sandra Savchenko-de Jong (Swiss Data Science Center)
SoS: A polyglot notebook and workflow system...- Bo Peng (The University of Texas)
Reproducible education: What teaching can learn from open science practices
Reproducible data dependencies for Jupyter - Jackson Brown, Aneesh Karve
Current RISE capabilities and its evolution into the future- Damián Avila (Anaconda, Inc.)
The Jupyter Notebook as a transparent way to document machine learning model development
Jupyter for every high schooler- Rob Newton (Trinity School)
Making beautiful objects with Jupyter- M Pacer (Netflix)
Flipped learning with Jupyter: Experiences, best practices, and supporting research
Data science in US and Canadian higher education- Laura Noren (Obsidian Security)
Real-time collaboration with Jupyter notebooks using CoCalc- William Stein (SageMath, Inc)
PayPal Notebooks: Data science and machine learning at scale, powered by Jupyter
Business Summit roundtable: The current environment
Jupyter, sensitive data, and public policy- Julia Lane
Using Jupyter to Empower Enterprise Analysts - Dave Stuart (Department of Defense)
Open source software and the allocation of capital- Matt Greenwood (Two Sigma Investments)
Using Jupyter notebooks in highly regulated environments
Enterprise usage of Jupyter: The business case and best practices for leveraging open source
Notebooks at Netflix: From analytics to engineering- Michelle Ufford (Netflix)
Containerizing notebooks for serverless execution (sponsored by AWS)
Scaling notebooks for deep learning workloads - Luciano Resende (IBM Watson)
Visualizing machine learning models in the Jupyter Notebook- Chakri Cherukuri (Bloomberg LP)
Understanding and Managing Security Events (sponsored by Oracle Dyn) - Laurent Gil
The power of "The Age of With" | Rohit Balasubramanian (Deloitte Consulting LLP)
What Shapes the AI that’s Shaping our World? - Meredith Whittaker (AI Now Institute, NYU)
Visualizing high-dimensional biological data with Clustergrammer-Widget in the Jupyter Notebook
Ensuring enterprise security when migrating to the cloud with Laurent Gil (Oracle Dyn)
Fueling system discovery with observability | Charity Majors (Honeycomb)
Simplifying software development with Kubernetes and containers with Deepank Sharma (Verizon)
Building Kubernetes-native applications with Kris Nova (Heptio)
Facilitating Kubernetes infrastructure in the enterprise with Chakri Nelluri (Diamanti)
Critical Path-driven Development - Jaana B. Dogan (Google)
O’Reilly Radar: Open Source Tool Trends - What Our Users Tell Us - Roger Magoulas (O'Reilly Media)
The Programmer's Mind - Jessica McKellar (Pilot)
AI and ML are changing traditional business with Dhritiman Dasgupta (Cisco)
Open source is allowing companies access powerful software with Doug Cutting (Cloudera)
Technical convergence in enterprise database software with Rick Negrin (MemSQL)
Breaking down the buzzwords to get value from AI, ML, and deep learning with Ian Swanson (Oracle)
Combining algorithms and quality data to build better AI platforms with Ziya Ma (Intel)
ML and AI systems will make mistakes with Kimberly Nevala (SAS)
Using machine learning to infuse data operations with Madhu Kochar (IBM)
Four Success Factors for Building your AI Business (sponsored by IBM Watson) - Manish Goyal (IBM)
Black Box: How AI will Amplify the Best and Worst of Humanity - Jacob Ward (CNN | Al Jazeera | PBS)
Democratizing AI with intelligence API's and AutoML with Levent Besik (Google)
Customized ML for the Enterprise (sponsored by Google Cloud) - Levent Besik (Google)
Decoding Regulations Using Machine Learning (sponsored by IBM) - Dinesh Nirmal (IBM)
Power a Better Future (sponsored by MemSQL) - Drew Paroski (MemSQL)
Accelerating AI at Intel with Huma Abidi
AI and Security: Lessons, Challenges, and Future Directions - Dawn Song (UC Berkeley)
Quantifying Forgiveness - Julia Angwin (@JuliaAngwin)
The Breadth of AI Applications: The Ongoing Expansion - Peter Norvig (Google)
Jupyter Notebooks and the Intersection of Data Science - David Schaaf (Capital One)
Automation of decisions to augment efficiency in the enterprise with Amr Awadallah (Cloudera)
Brain-based Human-machine Interfaces - Amanda Pustilnik (University of Maryland School of Law)
Sound Design and the Future of Experience - Amber Case (MIT Media Lab)
Contextual intelligence for ML and AI with Akhilesh Tripathi (Digitate)
Building AI systems with trust imperatives with Kishore Durg (Accenture)
Using AI to create inexpensive and intelligent prosthetics with Joseph Sirosh (Microsoft)
The Future of Data-driven Discovery in the Cloud - Ryan Abernathey (Columbia University)
The Data Imperative - Ben Sharma (Zaloni)
Smarter Cities through Geotab (sponsored by Google Cloud) - Chad W. Jennings (Google)
Practical ML Today and Tomorrow - Hilary Mason (Cloudera Fast Forward Labs)
The Future of Data Warehousing - Anupam Singh (Cloudera), Brian Coyne (PNC)
The Missing Piece - Cassie Kozyrkov (Google)
Connected Arms (sponsored by Microsoft) - Joseph Sirosh (Microsoft)
The Answer to Life, the Universe, and Everything (sponsored by MapR) - Ted Dunning (MapR)
OpenAI and the Path toward Safe AGI - Greg Brockman (OpenAI)
Dan Mbanga (AWS) interviewed at JupyterCon NY 2018
The secret to building and delivering amazing apps at scale - Javier Garza (Akamai Technologies)
So, you want to be successful in the open future? Louise Beaumont (Publicis Groupe | techUK | NPSO)
A New Golden Age for Computer Architecture - David Patterson (UC Berkeley)
China: AI Superpower - Kai-Fu Lee (Sinovation Ventures)
Fireside chat with Tim O'Reilly (O'Reilly Media) and Kai-Fu Lee (Sinovation Ventures)
When Jupyter Becomes Pervasive at a University? Fernando Perez (UC Berkeley)
Paul Ivanov (Bloomberg) interviewed at JupyterCon NY 2018
Charles Smith (Netflix) interviewed at JupyterCon NY 2018
Machine Learning in the Cloud - Hagay Lupesko (Amazon Web Services)
Jupyter & Gravitational Waves - Will Farr (Stony Brook University)
Jupyter in the Enterprise - Luciano Resende (IBM Watson)
Beyond Interactive: Scaling Impact with Notebooks at Netflix - Michelle Ufford (Netflix)
Data Science as a Catalyst for Scientific Discovery Michelle Gill, Ph.D. (BenevolentAI)
Keynote by Dan Romuald Mbanga (Amazon Web Services)
Sustaining Wonder: Jupyter and the Knowledge Commons - Carol Willing (Cal Poly San Luis Obispo)
Running stateful applications in Kubernetes: Is it worth the risk? - Kris Nova (Heptio)
Jupyter Trends in 2018 - Paco Nathan (derwen.ai)
Artificial Intelligence Conference - San Francisco, California
20 Years Later (sponsored by Google Cloud) - Sarah Novotny (Google)
Building with Open Source (sponsored by The Home Depot) - Angie Brown (Home Depot)
Secrets and surprises of high performance: What the data says - Nicole Forsgren (DORA)
Strata Attendee Testimonial
Netra Q&A: Scaling resource-intensive APIs (sponsored by Oracle Dyn)
Better Health Insights by Unlocking Data - Mahdi Yusuf (Gyroscope Innovations)
O'Reilly Open Source Awards
Open Source Opens Doors for Vets - Jerome Hardaway (CBS Interactive | Vets Who Code)
Software Architecture Conference Attendee Testimonials
Open Sourcing Quantum: Get Ready to Help Build a New Future - Jay Gambetta (IBM)
O’Reilly Radar: Open Source Tool Trends - Roger Magoulas (O'Reilly Media)
The Importance of Community - Patricia Posey (Tech Superwomen)
The Whole is Greater than the Sum of its Parts (sponsored by IBM) - Christopher Ferris (IBM)
Discovering the best set of Open Source technologies with Ying Xiong (Huawei)
OpenUI5 framework and open data libraries with Thomas Grassl (SAP)
Opening AI research and SSL fingerprints with James Ward (Salesforce)
Opening Hyperledger for the enterprise blockchain with Christopher Ferris (IBM)
Open Source in the enterprise with Zaheda Bhorat and Adrian Cockcroft (AWS)
HPE DEV, experience design, deep learning, and LinuxKI open sourced with Jim Schreckengast (HPE)
Open Source and Open Standards in the Age of Cloud AI - Tim O'Reilly (O'Reilly Media)
Recognizing Cultural Bias in AI - Camille Eddy (Girl STEM Stars)
Live Coding: OSCON Edition - Suz Hinton (Microsoft)
Drive Innovation & Collaboration (sponsored by Huawei) - Ying Xiong
Humans and the machine: Machine learning in context - Jean-François Puget (IBM Analytics)
It's spelled "accessibility," not "disability" - Scott Davis (ThoughtWorks)
Fixing JavaScript Date - Maggie Pint (Microsoft)
The parallel future of the browser - Lin Clark (Mozilla)
What's cooking in the AWS kitchen? Recipes for a better web - Cherie Wong (Amazon)
Machine learning: Research and industry - Mikio Braun (Zalando SE)
Question and answer session with Cory Doctorow
Mapping the internet with Kyle York (Oracle Dyn)
The internet versus your sites (sponsored by Oracle Dyn) Kyle York (Oracle Dyn)
The recruiting industry is ripe for disruption with Denali Lumma (Box)
Using AI to detect DDoS attacks and neural attacks with Dave Andrews (Verizon Digital Services)
"Yearn, learn, and earn" the pillars of thriving company culture with Darrin Alves (Box)
Establishing performance as a full-stack metric with Anjali Ashok (Salesforce)
Creating easy access, real-time logs for DevOps teams with Kresten Krab Thorup (Humio)
Quickly provisioning managed database services for DevOps scale with Brett Hesterberg (Google Cloud)
Microsoft and open source: From contributing to acquiring with Martin Woodward (Microsoft)
Tackling ML model degradation with Jean Francois Puget (IBM)
The freedom to configure is the freedom to make a better world. - Cory Doctorow (EFF)
Why Microsoft does DevOps - Martin Woodward (Microsoft)
Observability of team health - Renee Orser (NS1)
Using Machine Learning in Workload Automation (Sponsored by Digitate) - Abhijit Deshpande (Digitate)
Journey to GDPR compliance Alison Howard (Microsoft)
When to KISS Zubin Siganporia (QED Analytics)
The good, the bad, and the internet? Martha Lane Fox (CBE)
Data protection and innovation Eva Kaili (European Parliament)
The Paradise Papers: Behind the scenes with the ICIJ Pierre Romera (ICIJ))
Building a stronger data ecosystem Ben Lorica (O'Reilly Media)
MLPerf: A Benchmark Suite for Machine Learning - Gu-Yeon Wei (Harvard University)
MLPerf: A Benchmark Suite for Machine Learning - David Patterson (UC Berkeley)
The Physics of AI (Sponsored by IBM Watson) - Dario Gil (IBM)
Serving Billions of Personalized News Feeds with AI - Meihong Wang (Facebook)
Neural Interfaces: Connecting Humans and Artificial Intelligence - Thomas Reardon (CTRL-Labs)
Tim O'Reilly (O'Reilly Media)
WTT: What the Tensor? (Sponsored by Google Cloud) - Ron Bodkin (Google)
Improved Workflow With Isolated Jupyter Environments - Colin Carroll
AI is poised to help with today's greatest global challenges with Jennifer Marsman (Microsoft)
Marrying AI and data services with Abhijit Deshpande and Jayanti Murty (Digitate)
Tackling edge computing with Intel's AI Builders program with Fiaz Mohamed (Intel)
Using AI to track wildlife patterns with Mary Beth Ainsworth (SAS)
Using AI to extend the range of data scientist with Ron Bodkin (Google)
Rapid AI Experimentation and Innovation (Sponsored by Amazon Web Services) - Dan Romuald Mbanga
Autonomy and Human-AI Interaction - Manuela Veloso (Carnegie Mellon University)
Understanding Automation - Ben Lorica (O'Reilly Media) and Roger Chen (Computable Labs)
The Frontiers of Machine Learning and AI - Zoubin Ghahramani (Uber | University of Cambridge)
Panel: Jupyter in Education - Allen Downey, Taylor Martin, and Douglas Blank
Bringing AI into the Wild (Sponsored by SAS) - Mary Beth Ainsworth (SAS)
Increasing business results through AI in the entertainment industry - Fiaz Mohamed and Justin Herz
Fireside Chat with Peter Norvig and Kavya Kopparapu
Using Machine Learning to Reduce World Hunger (Sponsored by Microsoft) - Jennifer Marsman
Intel AI for the Enterprise Ecosystem - Fiaz Mohamed (Intel AI Products Group)
Hosting Notebooks for 100,000 Users - Scott Sanderson
Flipping the classroom with Jupyter and Github - Ryan Cooper
Supporting Reproducibility in Jupyter through Dataflows - David Koop
Automating decisions with Data in the Cloud - Amr Awadallah (Cloudera)
State of Jupyter - Matthias Bussonnier
From Data Exploration to Modeling to Deployment - Roope Astala
Visualizing machine learning algorithms in the Jupyter notebook - Chakri Cherukuri
Deep Learning and Deep Integration via Jupyter - Douglas Blank
Citizen Data Science campaign - Dave Stuart
Building analytical microservices powered by Jupyter Kernels - Luciano Resende and Kevin Bates
Accelerate the Machine Learning Pipeline on Very Large Datasets - Aaron Williams
Intro to Plotly Dash - Chelsea Douglas
Events on the Outside, on the Inside, and at the Core - Chris Richardson
Turning Request-response on its Head - Cornelia Davis (Pivotal)
What Separates the Clouds? - William Vambenepe (Sponsored by Google Cloud)
Crisis Text Line Data Usage and Insights - Nancy Lublin & Bob Filbin (Crisis Text Line)
Defining Responsible Data Practices: A Community-Driven Approach - Natalie Evans Harris (BrightHive)
Inclusivity for the Greater Good - Ajey Gore (GO-JEK)
Accelerate Application Delivery with a Cloud-Native Mindset (Sponsored by IBM) - Andrew Hately
Operationalizing Machine Learning - Dinesh Normal (Sponsored by IBM)
Jaeha Ahn (WineSOFT) interviewed at O'Reilly Software Architecture Conference NY 2018
Dean Wampler (Lightbend) interviewed at O'Reilly Software Architecture Conference NY 2018
Data Science in the Cloud - Alex Smola (Amazon)
Building the Foundation of a Latency-free Life - Nikita Shamgunov (Sponsored by MemSQL)
Privacy in the Age of Machine Learning - Ben Lorica (O'Reilly Media)
Fluid machine learning that is always on and always learning with Dinesh Nirmal (IBM)
Latency-free queries for interactive response times with Eric Hanson (MemSQL)
Data scientists are the engineers for digital transformation with Ian Swanson (DataScience.com)
Building data fabrics to stretch across AI and machine learning with Jack Norris (MapR)
Incremental scale in the cloud with Tobias Ternstrom (Microsoft)
Serverless models are the cloud's best value with William Vambenepe (Google Cloud)
Merging Human and Machine Learning for Everyday Solutions - Li Fan (Pinterest)
Creating tools to cross machines and networks with Viktor Klang (Lightbend)
Abstracting infrastructure away from developers with Peter-Mark Verwoerd (Google Cloud)
Scale, security, and blockchain with René Bostic (IBM Cloud)
To a Hammer, Everything is a Nail - Tobias Ternstrom (Sponsored by Microsoft)
Aditya Sharma (Crosscode) interviewed at O'Reilly Software Architecture Conference NY 2018
Ike Nassi (TidalScale) interviewed at O'Reilly Software Architecture Conference NY 2018
When Machine Learning Makes Mistakes - Janelle Shane (aiweirdness.com)
The Case for a Deliberate Data Strategy in Today’s Attention-deficit Economy - Anoop Dawar
Lessons in Google Search Data - Seth Stephens-Davidowitz (NY Times)
Differentiating via Data Science - Eric Colson (Stitch Fix)
Going (cloud) Native - Kevin Steward (Heptio)
Developing a Chaos Architecture Mindset - Adrian Cockcroft (AWS)
Extending the Kubernetes API - Jago Macleod (Sponsored by Google)
Mining is Making a Comeback...in Space! - Patrick McFadin
Handicapping the Tournament of Books - Jason Perdue
Climate Change - The Good News - Dave Warrender
The Power of the Digital Collective - Kerry Rego
Jefferson's Black Family - Janine Sternlieb
What if the Answers are Below Our Feet? - Sara McCamant
A 5-minute Cannabis Class - Johanna Nuding
Find Your Voice - Linda Reitzell
You Can Survive on Zero Sleep... Josh Barrious
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