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Videos uploaded by user “O'Reilly” for the 2018
Building cloud-native applications with Kubernetes and Istio, by Kelsey Hightower
 
17:33
Kelsey Hightower discusses the benefits of using Kubernetes and Istio together. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 31298 O'Reilly
What We Can Learn About Testing From The Wheel - Kent C. Dodds (Ignite Fluent 2016)
 
05:15
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Views: 4875 O'Reilly
Computational challenges and opportunities of astronomical big data, Melanie Johnston-Hollitt
 
04:08
Check out all the Strata Data Conference keynotes, sessions, and tutorials here: https://www.safaribooksonline.com/library/view/strata-data-conference/9781491985373/ Melanie Johnston-Hollitt is an internationally prominent radio astronomer, the director of astronomy and astrophysics at Victoria University of Wellington, and CEO of Peripety Scientific Ltd., an astrophysics and data analytics research company based in Wellington, New Zealand. Melanie serves as chair of the board of the $60 million Murchison Widefield Array (MWA) radio telescope and is a founding member of the board of directors of the Square Kilometre Array (SKA) Organisation Ltd., which is tasked with building the world’s largest radio telescope. In her nearly 20-year career, she has been involved in design, construction, and operation of several major radio telescopes, including the Low Frequency Array in the Netherlands, the MWA in Australia, and the SKA, which will be hosted in both Australia and South Africa. These instruments produce massive quantities of data, requiring new and disruptive technologies to allow value to be extracted from the data deluge. As a result, Melanie’s recent interests span the intersection between radio astronomy, signal processing, and big data analytics. She leads a multidisciplinary team in Wellington that is investigating how best to meet the science challenges of these next-generation instruments in the big data era. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1486 O'Reilly
How do Devops and SRE relate? (Sponsored by Google Cloud) - Dave Rensin
 
05:24
SRE has exploded in the industry over the last two years with the publication of two bestselling books from Google. Not surprisingly, there have been questions about how SRE and DevOps relate. Do they compete? Do they re-inforce? The short answer is that they make each other better. In this talk, come hear why. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1439 O'Reilly
I don't like notebooks.- Joel Grus (Allen Institute for Artificial Intelligence)
 
56:13
I have been using and teaching Python for many years. I wrote a best-selling book about learning data science. And here’s my confession: I don’t like notebooks. (There are dozens of us!) I’ll explain why I find notebooks difficult, show how they frustrate my preferred pedagogy, demonstrate how I prefer to work, and discuss what Jupyter could do to win me over. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 12162 O'Reilly
The Physics of AI (Sponsored by IBM Watson) - Dario Gil (IBM)
 
11:48
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Views: 5806 O'Reilly
The cost of JavaScript - Addy Osmani (Google)
 
03:18
As the world build sites that are more heavily reliant on JavaScript, we sometimes pay for what we send down in ways that we can’t always easily see. Addy Osmani explains how and why JavaScript is the most expensive resource your site uses today—especially on mobile. Addy also shares tips for fixing JavaScript performance issues so everything loads quicker. A little discipline can help if you want your site to load and be interactive as soon as possible on mobile. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2867 O'Reilly
The Frontiers of Machine Learning and AI - Zoubin Ghahramani (Uber | University of Cambridge)
 
04:32
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Views: 1751 O'Reilly
The coming era of privacy by default - Brendan Eich (Brave Software)
 
03:44
The coming era of privacy by default: Brave and the Basic Attention Token Brendan Eich (Brave Software) Brendan Eich asks what it would mean to the web if we actually start building products, apps, and systems that are private by default. Securing our customers’ privacy has never been more important—GDPR may require it legally, but ethically, adopting a mission-first focus for your customer is the right thing to do. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1383 O'Reilly
Hosting Notebooks for 100,000 Users - Scott Sanderson
 
28:00
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Views: 5815 O'Reilly
Career advice for architects -Trisha Gee (JetBrains)
 
02:46
Do you have any idea how to climb the ladder but remain technical? Or how to avoid being promoted away from what you love? Did you realize when you started your career just how important nontechnical skills would be or think about the other skills that would make life easier but are undervalued? And just how do you stay ahead of the curve and stay relevant? Trisha Gee shares advice and lessons she learned the hard way while managing her career as a developer, lead, and technical advocate. She also gives you tools for working out what your next steps are along with plenty of examples of what not to do. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1730 O'Reilly
Why Microsoft does DevOps - Martin Woodward (Microsoft)
 
07:03
Martin Woodward leads a whistle-stop tour of Microsoft's seven-year DevOps journey, explaining why the company embarked on this transformation and what benefits it has already seen. Join us in person at the O'Reilly Velocity Conference to learn to build and manage performant, distributed, resilient, and highly available websites and applications. Learn more: https://oreil.ly/2LFc8Gw Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2947 O'Reilly
The state of automation technologies- Ben Lorica (O'Reilly Media), Roger Chen (Computable Labs)
 
09:02
What technologies are ready for adoption, and how should companies and organizations evaluate automation technologies? Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning. Along the way, Ben and Roger discuss what technologies companies should be evaluating in the near term. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 686 O'Reilly
Serving Billions of Personalized News Feeds with AI - Meihong Wang (Facebook)
 
03:20
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Views: 1407 O'Reilly
China: AI Superpower - Kai-Fu Lee (Sinovation Ventures)
 
03:08
With the US leading the AI revolution for decades, it would almost seem inconceivable that China could catch up. But China is rapidly catching up with the US in AI applications. Kai-Fu Lee discusses the five key factors that enabled this rapid ascension: tenacious entrepreneurs, speed and execution, tremendous capital, a big market and bigger data, and techno-utilitarian government policies. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2582 O'Reilly
Artificial intelligence versus actionable intelligence - David Hayes (PagerDuty)
 
05:15
Artificial intelligence has been almost here for 50 years, but we don’t need to wait for it to escape the laboratory. Adding a manageable dose of actionable intelligence to your operations management workflow can save you time and aggravation. PagerDuty will talk about how AI’s limitations and how it can decrease your noise and suggest possible courses of action. This keynote is sponsored by PagerDuty. Join us in person at the O'Reilly Velocity Conference to learn to build and manage performant, distributed, resilient, and highly available websites and applications. Learn more: https://oreil.ly/2LFc8Gw Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 730 O'Reilly
Sound Design and the Future of Experience - Amber Case (MIT Media Lab)
 
02:34
Sound is one of the most commonly overlooked components in product design, even though it’s often the first way people interact with many products. When designers don’t pay enough attention sound elements, customers are frequently left with annoying and interruptive results. Amber Case outlines several methods that product designers and managers can use to improve everyday interactions through an understanding and application of sound design. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2052 O'Reilly
WTF? What's the future and why it's up to us - Tim O'Reilly (O'Reilly Media)
 
03:08
Robots are going to take our jobs, they say. Tim O'Reilly says, "Only if that's what we ask them to do!" Tim has had his fill of technological determinism. He explains why technology is the solution to human problems and why we won't run out of work till we run out of problems. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1790 O'Reilly
You scream for microservices orchestration; I scream for batch... - Joe Goldberg (BMC Software)
 
05:22
View the full set of keynotes, sessions, and tutorials from Velocity New York 2017: https://www.safaribooksonline.com/library/view/velocity-conference-2017/9781491976340/ Business transformation has led us to adopt new technologies (containers, the cloud, big data, and everything as code) and process and cultural changes (Agile, CI/CD, and DevOps). How batch application automation is built, tested, and run must evolve to keep pace. Joe Goldberg explores jobs as code, which looks at batch application automation from an SDLC perspective—an approach that embeds expectations within a modern automation platform. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1735 O'Reilly
A New Golden Age for Computer Architecture - David Patterson (UC Berkeley)
 
03:15
High-level, domain-specific languages and architectures and freeing architects from the chains of proprietary instruction sets will usher in a new golden age. David Patterson explains why, despite the end of Moore’s law, he expects an outpouring of codesigned ML-specific chips and supercomputers that will improve even faster than Moore’s original 1965 prediction. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1466 O'Reilly
Accelerating AI at Intel with Huma Abidi
 
04:12
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Views: 895 O'Reilly
Software Architecture Conference Attendee Testimonials
 
02:03
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Views: 1139 O'Reilly
Chaos Day: When Reliability Reigns - Tammy Butow (Gremlin)
 
02:44
Tammy Butow explains how your company can use Chaos Days to focus on controlled chaos engineering. Similar to Hack Days, Chaos Days encourage an open culture of engineering. However, instead of focusing on building features, Chaos Days help you focus on building more resilient systems and reducing incidents. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 690 O'Reilly
Rethinking software engineering in the AI era - Yangqing Jia (Facebook)
 
03:26
With the breakthrough of AI and deep learning technologies, conventional software engineering practices have been evolving significantly to pair with the advances of large-scale data, computation, and algorithmic evolution. Yangqing Jia shares a series of examples to illustrate the uniqueness of AI software and its connections to conventional computer science wisdom. Yangqing then discusses future software engineering principles for AI compute. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2076 O'Reilly
The Missing Piece - Cassie Kozyrkov (Google)
 
01:38
Why do businesses fail at machine learning despite its tremendous potential and the excitement it generates? Is the answer always in data, algorithms, and infrastructure, or is there a subtler problem? Will things improve in the near future? Let's talk about some lessons learned at Google and what they mean for applied data science. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 3197 O'Reilly
The dark side of security - Jarrod Overson (Shape Security)
 
03:01
View the complete session, and all the other Fluent 2016 sessions on Safari: https://www.safaribooksonline.com/library/view/fluent-2016-/9781491944585/ Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1035 O'Reilly
When Machine Learning Makes Mistakes - Janelle Shane (aiweirdness.com)
 
02:48
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Views: 1354 O'Reilly
Differentiating via Data Science - Eric Colson (Stitch Fix)
 
04:33
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Views: 1890 O'Reilly
Building artificial people: Endless possibilities and the dark side- Supasorn Suwajanakorn
 
03:24
Supasorn Suwajanakorn (VISTEC (Vidyasirimedhi Institute of Science and Technology)) Supasorn Suwajanakorn is a computer vision researcher who recently developed a technique that can synthesize a speech video of President Obama by learning from existing video footage. His earlier work includes a novel method to reconstruct a 3D face model of anyone just from their photos, which was awarded the Madrona Prize and the Innovation of the Year in 2016, as well as a software that predicts an age-progressed photo of a missing child. Previously, he was a research resident at Google Brain. Supasorn holds a PhD in computer science from the University of Washington. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 957 O'Reilly
Beyond Interactive: Scaling Impact with Notebooks at Netflix - Michelle Ufford (Netflix)
 
05:26
Netflix is reimagining what a Jupyter notebook is, who works with it, and what you can do with it. Michelle Ufford shares how Netflix leverages notebooks today and describes a brief vision for the future. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2352 O'Reilly
MLPerf: A Benchmark Suite for Machine Learning - Gu-Yeon Wei (Harvard University)
 
05:20
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Views: 1105 O'Reilly
Lessons in Google Search Data - Seth Stephens-Davidowitz (NY Times)
 
03:50
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Views: 1541 O'Reilly
OpenAI and the Path toward Safe AGI - Greg Brockman (OpenAI)
 
02:34
OpenAI has recently demonstrated systems capable of advanced robotic manipulation, holding their own against professionals in the massively complex game Dota 2, as well as unprecedented language understanding. Greg Brockman discusses the increasing generality of these systems and their implication for how we should think about and plan for creating safe AGI. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1028 O'Reilly
The missing piece- Cassie Kozyrkov (Google)
 
04:15
Why do businesses fail at machine learning despite its tremendous potential and the excitement it generates? Is the answer always in data, algorithms, and infrastructure, or is there a subtler problem? Will things improve in the near future? Cassie Kozyrkov shares lessons learned at Google and explains what they mean for applied data science. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2872 O'Reilly
Data Science as a Catalyst for Scientific Discovery Michelle Gill, Ph.D. (BenevolentAI)
 
11:22
Michelle Gill explains how data science methodologies and tools can be used to link information from different scientific fields and accelerate discovery in a variety of areas, including the biological sciences. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 780 O'Reilly
Perceived performance: The only kind that really matters - Eli Fitch (Social Tables)
 
05:16
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Views: 669 O'Reilly
The evolution of chaos Kolton Andrus (Gremlin Inc.)
 
04:43
Chaos engineering is intentionally injecting failure into a system to proactively identify and fix problems before they cause outages. It’s an emerging discipline, but its roots are decades old. So why is it now becoming the go-to approach for building resilient systems? Why does the current state of distributed architectures require chaos as the best solution for system failure? Kolton Andrus explores how chaos engineering has evolved into the discipline now practiced at leading cloud companies, how to begin your journey toward resilient systems, and how to make those pagers quit buzzing at 3:00am. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1290 O'Reilly
Industrial machine learning,  Joshua Bloom (GE Digital)
 
02:37
The ongoing digitization of the industrial-scale machines that power and enable human activity is itself a major global transformation. Joshua Bloom explains why the real revolution—in efficiencies and in improved and saved lives—will happen when machine learning automation and insights are properly coupled to the complex systems of industrial data. Leveraging a systems view of real-world use cases from aviation to transportation, Joshua contrasts the needs and approaches of consumer machine learning with industrial machine learning, focusing on three key areas: combining physics-based models with data-driven models, differential privacy and secure ML (including edge-to-cloud strategies), and interpretability of model predictions. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 822 O'Reilly
Practical ML Today and Tomorrow - Hilary Mason (Cloudera Fast Forward Labs)
 
03:38
Machine learning and artificial intelligence are exciting technologies, but real value comes from marrying those capabilities with the right business problems. Hilary Mason explores the current state of these technologies, investigates what's coming next in applied machine learning, and explains how to identify and execute on the right business opportunities at the right time. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2052 O'Reilly
Open Sourcing Quantum: Get Ready to Help Build a New Future - Jay Gambetta (IBM)
 
03:48
Jay Gambetta offers an overview of Qiskit, a comprehensive open source quantum computing framework built for creating quantum experiments, programs, and applications. Written in Python and maintained on GitHub, Qiskit is designed to make quantum computing accessible to everyone. Open source is the value that fuels new industries and pushes forward long-standing ones. Join us in person at the O'Reilly Open Source Convention to cover open source projects across all origins and affiliations. Learn more: https://oreil.ly/2LQLJ8I Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1228 O'Reilly
Neural Interfaces: Connecting Humans and Artificial Intelligence - Thomas Reardon (CTRL-Labs)
 
03:28
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Views: 2002 O'Reilly
Developing a Chaos Architecture Mindset - Adrian Cockcroft (AWS)
 
03:06
Adrian Cockcroft outlines the architectural principles of chaos engineering and shares methods engineers can use to exercise failure modes in safety and business-critical systems Join us in person at the O'Reilly Software Architecture Conference to learn the tools, techniques, and leadership skills needed in the evolving discipline of software architecture. Learn more: https://oreil.ly/2NNTQQK Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1558 O'Reilly
The Emacs Ipython Notebook- John Miller (Honeywell UOP)
 
43:46
John Miller offers an overview of the Emacs IPython Notebook (EIN), a full-featured client for the Jupyter Notebook in Emacs, and shares a brief history of its development. John covers the features of EIN that make it uniquely Emacs—starting and automatically logging into a Jupyter server from inside Emacs, connecting Python buffers to a running kernel, allowing for interactive evaluation, org-mode Babel support, Emacs debugger integration, and company-mode and Jedi auto-complete integration. John then explains how he uses EIN in his own work, with a simple case study of troubleshooting activity decline of highly chlorided alumina catalyst in a pentane isomerization chemical process. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2530 O'Reilly
When Jupyter Becomes Pervasive at a University? Fernando Perez (UC Berkeley)
 
14:35
In 2018, UC Berkeley launched a new major in data science, anchored by two core courses that are the fastest-growing in the history of the university. Fernando Pérez discusses the program and explains how the core courses, which now reach roughly 40% of the campus population, are extending data science into specific domains that cover virtually all disciplinary areas of the campus. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 2333 O'Reilly
Using Open Source technologies to aid natural disaster response with Angie Brown (Home Depot)
 
05:39
Open source is the value that fuels new industries and pushes forward long-standing ones. Join us in person at the O'Reilly Open Source Convention to cover open source projects across all origins and affiliations. Learn more: https://oreil.ly/2LQLJ8I Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 541 O'Reilly
Mining electronic health records and the web for drug repurposing,  Kira Radinsky (eBay | Technion)
 
02:24
Check out all the Strata Data Conference keynotes, sessions, and tutorials here: https://www.safaribooksonline.com/library/view/strata-data-conference/9781491985373/ Researchers decide on exploratory targets for drug repurposing—the process of applying known drugs in new ways to treat diseases—based on trends in research and observations on small numbers of cases, leading to potentially costly biases of focus and neglect. Kira Radinsky offers an overview of a system that jointly mines 10 years of nationwide medical records of more than 1.5 million people and extracts medical knowledge from Wikipedia to help reduce spurious correlations and provide guidance about drug repurposing. The resulting system seeks to identify potential biological processes to justify potential influences between medications and target diseases via links on a graph constructed from Wikipedia data. Kira shares results of the system on two studies on drug repurposing for hypertension and diabetes. In both cases, the algorithm identified drug families that were previously unknown, and clinical opinion by experts in the field and clinical trials on those drug families suggest that these drugs show promise. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 3902 O'Reilly
Why software architects fail and what to do about it - Stefan Tilkov (INNOQ)
 
03:04
We’ve all seen them: ambitious projects that started out with grand visions and ended up as costly lessons in what not to do, leaving behind the ruins of promising paradigms, technologies, tools, and careers. But why do architecture approaches sometimes hurt instead of providing value? Why has “architect” become a negative term for some people? And what can we do to improve our own work? Stefan Tilkov looks at some of the most common pitfalls that ensure you’ll come up with a disaster and explains how they can be avoided. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1593 O'Reilly
Abstracting infrastructure away from developers with Peter-Mark Verwoerd (Google Cloud)
 
11:20
Join us in person at the O'Reilly Software Architecture Conference to learn the tools, techniques, and leadership skills needed in the evolving discipline of software architecture. Learn more: https://oreil.ly/2NNTQQK Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 412 O'Reilly
Bringing AI into the enterprise- Kristian Hammond (Northwestern Computer Science)
 
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Bringing AI into the enterprise: A functional approach to the technologies of intelligence Kristian Hammond (Northwestern Computer Science) The promise of AI is astounding. It has the potential to change everything and transform how we all do business and live our lives. In order to exploit this potential, organizations need to ignore the hype and focus on their business goals rather than the technologies themselves. Kristian Hammond walks you through an approach to bring AI into the enterprise, based on the functional, business aspects of AI technologies. Kristian maps out simple rules, useful metrics, and where AI should live in the org chart, laying out the route you should follow to make good on the promise of the technologies of intelligence. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 521 O'Reilly
Potholes in the road from monolithic hell - Chris Richardson (Eventuate)
 
03:17
Potholes in the road from monolithic hell: Microservices adoption anti-patterns A typical mission-critical enterprise application is a large, complex monolith developed by large team. The velocity of software delivery is usually slow, and the team struggles to keep up with the demands of the business. Consequently, many enterprise applications are good candidates to be migrated to the microservice architecture. As you might expect, migrating to microservices requires an enterprise to tackle numerous technology-related challenges. But enterprises often encounter obstacles that have less to do with technology and more to do with strategy, process, and organization. Chris Richarson details several anti-patterns of microservices adoption that he’s observed while working with clients around the world. You’ll learn the challenges that enterprises often face and how to overcome them as well as how to avoid the potholes when escaping monolithic hell. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 1041 O'Reilly