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Videos uploaded by user “O'Reilly” for the 2017
What Kaggle has learned from almost a million data scientists - Anthony Goldbloom (Kaggle)
 
04:07
Kaggle is a community of almost a million data scientists, who have built more than two million machine-learning models while participating in Kaggle competitions. Data scientists come to Kaggle to learn, collaborate, and develop the state of the art in machine learning. Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used, some of the tricks he’s seen, and pitfalls to avoid. Along the way, Anthony discusses work habits and skills that help data scientists succeed. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 12968 O'Reilly
AI is the new electricity. - Andrew Ng (Coursera)
 
02:24
Much like the rise of electricity, which started about 100 years ago, AI will revolutionize every major industry. Andrew Ng explains how AI can transform your business, shares major technology trends and thoughts on where your biggest future opportunities may lie, and explores best practices for incorporating AI, machine learning, and deep learning into your organization. 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: 11343 O'Reilly
The role of being technical in technical leadership - Camille Fournier (Independent)
 
05:34
There is compelling evidence that technical workers want leaders who are strong technologists, leaders they believe they can learn from. What does this mean for those who wish to become engineering managers and technical leaders? How can you be an effective noncoding technical leader? Camille Fournier explores this conundrum and shares strategies to overcome it. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 2949 O'Reilly
Artificial intelligence in the software engineering workflow - Peter Norvig (Google)
 
04:10
Artificial intelligence is playing an increasingly important role in new software products, but the workflow of an AI researcher is quite different from the workflow of the software developer. Peter Norvig explains how the two can come 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 Google: http://plus.google.com/+oreillymedia
Views: 4583 O'Reilly
Data science without borders - Wes McKinney (Two Sigma Investments)
 
18:43
Wes McKinney makes the case for a shared infrastructure for data science, discusses the open source community's efforts on Apache Arrow, and offers a vision for seamless computation and data sharing across languages. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 9090 O'Reilly
Ask more questions - Saron Yitbarek (CodeNewbie)
 
02:08
Move fast and break things is a mantra that’s helped us learn, innovate, and push boundaries at speeds only dreamt about by other industries. However, there are times when that speed comes at a cost, when moving fast means moving past problems that we should sit with and unpack. Saron Yitbarek explores examples of technical projects in education, health, and grassroots political activism that moved too fast, pointing out how these projects hurt users or failed to solve a problem in irreparable ways and where well-meaning developers would have benefitted from reaching beyond their immediate network to ask more questions and understand the implications of the tools they built. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1392 O'Reilly
Serverless architectures built on an open source platform - Daniel Krook (IBM)
 
05:29
Daniel Krook explores Apache OpenWhisk on IBM Bluemix, which provides a powerful and flexible environment for deploying cloud-native applications driven by data, message, and API call events. This keynote is sponsored by IBM Bluemix. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1844 O'Reilly
How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students - Rachel Thomas
 
17:04
Although some claim you must start with advanced math to use deep learning, the best way for any coder to get started is with code. Rachel Thomas explains how fast.ai's Practical Deep Learning for Coders course uses Jupyter notebooks to provide an environment that encourages students to learn deep learning through experimentation. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 10170 O'Reilly
Project Jupyter: From interactive Python to open science - Fernando Perez
 
19:56
Fernando Pérez opens JupyterCon with an overview of Project Jupyter, describing how it fits into a vision of collaborative, community-based open development of tools applicable to research, education, and industry. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 8070 O'Reilly
JupyterLab: The Next-Generation Jupyter Frontend
 
42:42
Brian Granger (Cal Poly San Luis Obispo), Chris Colbert (Project Jupyter), Ian Rose (UC Berkeley) offer an overview of JupyterLab, which enables users to work with the core building blocks of the classic Jupyter Notebook in a more flexible and integrated manner. 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: 25674 O'Reilly
Blockchain and the future of distributed computing - Catherine Mulligan (Imperial College)
 
04:55
The blockchain and distributed ledger technology (DLT) have drawn considerable attention due to their potential to disrupt traditional business processes. From a very simplistic perspective, a blockchain allows untrusting parties with common interests to cocreate a permanent, unchangeable, and transparent record of exchange and processing. The technology has now moved far beyond its origins in bitcoin; multiple commercial organizations, industrial bodies, and governments are now investigating how to apply these technologies not just to reduce costs but also to remove friction from internal and external markets for both data and security. Although the blockchain is technically a distributed system, there has been a surprising lack interest from the distributed systems community. Catherine Mulligan explores the implications of the blockchain to distributed systems and explains what needs to be addressed in order to build and maintain them effectively. 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: 1845 O'Reilly
Is finance ready for AI? - Aida Mehonic (ASI Data Science)
 
02:27
Aida Mehonic is an engagement manager at ASI Data Science with a focus on financial services. Previously, she worked in investment banking for four years, most recently as a front office strategist at JPMorgan Investment Bank developing quantitative models and publishing investment research. Aida is a bronze medallist at the International Physics Olympiad. She holds a BA and MMath in mathematics from Cambridge University and a PhD in theoretical physics from UCL. Her research has been published in Nature. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1738 O'Reilly
Machine learning at Google (sponsored by Google) Rob Craft (Google)
 
07:25
Rob Craft, Google’s product lead for Cloud Machine Learning, shares some of the ways machine learning is being used inside of Google, explores cloud-based neural networks, and discusses some customer use cases. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 2788 O'Reilly
What's the difference between BI and machine learning with Rob Craft (Google)
 
12:56
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Views: 1360 O'Reilly
Accelerating AI,  Steve Jurvetson (DFJ)
 
02:52
Steve Jurvetson is a partner at DFJ. Steve has a reputation for investing in pioneering companies that create new sectors. Two early bets include the Elon Musk-led companies SpaceX and Tesla. (He owns both a Tesla sedan and an SUV and holds board seats at both companies.) Steve serves on the board of directors for Planet, a company that has launched the largest constellation of Earth-observation microsatellites; D-Wave, a quantum computing company which counts Google, NASA, and Lockheed-Martin as customers; and Mythic, a provider of a local AI hardware and software platform that turns devices into secure and trusted intelligent assistants. He previously held a board seat at deep learning company Nervana (acquired by Intel in 2016). Steve holds an undergraduate degree at Stanford in electrical engineering. He maintains a fascination for space and has turned DFJ’s office into a museum showcasing his space artifact collection. 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: 1692 O'Reilly
An introduction to serverless - Mike Roberts (Symphonia)
 
05:39
Web services, the cloud, containers, microservices—software architecture always has a new fad, and some of them even stick around for a while. The latest buzzword is "serverless"—the idea of replacing your server applications with. . .well, what, exactly? Mike Roberts introduces the concepts behind serverless architectures to answer this question, explains how serverless compares with other cloud approaches, and provides reasons why it is worthy of some of the hype it’s currently receiving, balanced with a few warnings of some rough edges. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1542 O'Reilly
Magenta: Machine learning and creativity - Doug Eck (Google Brain)
 
03:42
Doug Eck offers an overview of Magenta, a Google Brain project to develop new generative machine learning models for art and sound creation, allowing us to better understand how machine learning can be used by artists and musicians to make something new. Doug provides demos and explains where this work fits in with other AI research being done at Google and elsewhere. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1755 O'Reilly
The evolution and future of software architecture Mark Richards (Independent)
 
02:45
Back in the day, large-scale monolithic systems ruled the world. While these systems worked well in their time, we saw them quickly fall apart in the 2000s. But why? Mark Richards discusses the evolution of software architecture and shows how the systems we’ve built so far won’t live up to current social, economic, and technology demands. Mark then outlines the ingredients that go into both evolutionary architecture and competitive advantage, offers a glimpse of what software architecture will look like in the future, and shares the things we software architects need to focus on and think about beyond 2017. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 3247 O'Reilly
Microservices: Pros and cons - Cassandra Shum (ThoughtWorks) & Rachel Laycock (ThoughtWorks)
 
03:31
It seems as if the whole world of software development is jumping on the bandwagon to move to a microservices architecture. There are many good aspects to architecting a system in this fashion, but what about the downsides? In a knockdown debate, Rachel Laycock and Cassandra Shum take opposing sides on whether to implement services in a micro fashion and deliver zings and gotchas about the pros and cons of microservices. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1467 O'Reilly
Velocity Conference 2017 - San Jose, CA
 
01:15
Where web performance, web ops, and DevOps professionals learn to build fast, scalable, and resilient websites and apps. To learn more about Velocity, visit http://www.oreilly.com/go/velocity_conferences. At Velocity, systems, site reliability, and systems engineers, systems architects, and application developers learn to build and manage fast, resilient, and highly available websites and apps. Follow @velocityconf on Twitter and join the conversation: https://twitter.com/velocityconf
Views: 14842 O'Reilly
The differences between microservices and containers with Tobias Knaup (Mesosphere)
 
10:14
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Views: 1300 O'Reilly
Using AI to create new jobs - Tim O'Reilly (O'Reilly Media, Inc.)
 
03:52
The history of technology shows that while new technology has always destroyed jobs, it has also created new ones, in part because it makes things that were previously too expensive cheap enough to expand demand. AI will make currently unthinkable things possible. If we put it to work properly, it can lead to prosperity; if we put it to work destroying jobs, that is our failure of imagination. Tim O’Reilly delves into the history of some past technological transitions, speculates on the future possibilities of this one, and shares some thoughts about what is keeping us from making the right choices to govern our creations. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1590 O'Reilly
The machine-learning renaissance Mike Olson (Cloudera)
 
03:37
Data is powering a machine-learning renaissance. Understanding our data helps save lives, secure our personal and business information, and engage our customers with better relevance. However, as Mike Olson explains, without big data and a platform to manage big data, machine learning and artificial intelligence just don’t work. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 3237 O'Reilly
The UX of buildings, cities, and infrastructure - Dan Hill (Arup)
 
02:52
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Views: 1324 O'Reilly
Building cloud-native applications with Kubernetes and Istio - Kelsey Hightower (Google)
 
03:50
Keynote by Kelsey Hightower Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 2355 O'Reilly
Tackling the limits of deep learning - Richard Socher (Salesforce)
 
04:16
AI presents a huge opportunity for businesses to personalize and improve customer experiences and improve efficiency, but the technical complexity of AI puts it out of reach for most companies. Richard Socher explains how Salesforce is doing the heavy lifting to deliver seamless and scalable AI to its customers. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 2997 O'Reilly
The architects below - Jessica Kerr (Atomist)
 
02:47
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Views: 751 O'Reilly
Ray: A Distributed Execution Framework for Emerging AI Applications Michael Jordan (UC Berkeley)
 
03:13
chael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive, and biological sciences; in recent years, he has focused on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines, and applications to problems in distributed computing systems, natural language processing, signal processing, and statistical genetics. Previously, he was a professor at MIT. Michael is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences and a fellow of the American Association for the Advancement of Science, the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA, and SIAM. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. Michael holds a master’s degree in mathematics from Arizona State University and a PhD in cognitive science from the University of California, San Diego. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1749 O'Reilly
Data in disasters: Saving lives and innovating in real time Desiree Matel-Anderson
 
02:39
Data to the rescue. Desi Matel-Anderson offers an immersive deep dive into the world of the Field Innovation Team, who routinely find themselves on the frontier of disasters working closely with data to save lives, at times while risking their own. Whether the team is in the Northeast during Hurricane Sandy making decisive decisions to automate damage assessments, in Boston exploring social media for a bigger picture of the Boston Marathon Bombings, or using drones to map data points to better understand the stability of the topography after mudslides struck Oso, Washington, the data the team is working with expedites response and recovery. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 727 O'Reilly
From big data to human-level artificial intelligence - Gary Marcus (Geometric Intelligence)
 
12:48
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Views: 1588 O'Reilly
O'Reilly Design Conference 2017
 
02:02
From UI to interaction design, get the skills, connections, and inspiration you need to shape the products and services of today and tomorrow. https://conferences.oreilly.com/design/ux-interaction-iot-us Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1080 O'Reilly
Determining success in design - Julie Zhuo (Facebook)
 
02:08
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Views: 1298 O'Reilly
Building Interactive Applications and Dashboards in the Jupyter Notebook
 
39:26
Romain Menegaux (Bloomberg LP), Chakri Cherukuri (Bloomberg LP) demonstrate how to develop advanced applications and dashboards using open source projects, illustrated with examples in machine learning, finance, and neuroscience. 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: 28283 O'Reilly
What we learned moving 65,000 Microsofties to DevOps... - Martin Woodward (Microsoft)
 
07:19
Martin Woodward tells the story of how Microsoft’s internal engineering systems are being transformed from a collection of disparate in-house tools built up over decades to One Engineering System with a globally distributed 24x7x365 service on the public cloud, utilizing modern techniques and industry-recognized open source technologies. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1762 O'Reilly
Unconventional programming paradigms for the future, now - Carin Meier (Cognitect)
 
04:02
As technology advances, our systems are growing more and more complex, reaching the threshold of what we can handle and even comprehend. We need more than tools to keep it under control. We need new ways of thinking. Carin Meier explores new ways to approach systems and tame complexity for the rapidly changing 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: 2558 O'Reilly
The inevitable merger of IQ and EQ in technology - Rana el Kaliouby (Affectiva)
 
02:01
Rana el Kaliouby lays out a vision for an emotion-enabled world of technology, sharing the inner workings of a multimodal emotion sensing platform that identifies emotions through facial expressions and tone of voice. Along the way, Rana explores the broad applications and ethical implications of this technology. 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: 1068 O'Reilly
What if serverless was real? - Nick Rockwell (The New York Times)
 
03:53
For most of us, the best approach to scaling complex distributed systems is to not do it at all. Nick Rockwell asks, so why isn't serverless a bigger deal? 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: 939 O'Reilly
The common denominator is data with Sunil Saini (The Data Team)
 
04:15
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Views: 404 O'Reilly
Working backwards - Alan Cooper (Cooper)
 
03:06
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Views: 834 O'Reilly
Going beyond Open Source with Alex Grigoryan (WalmartLabs)
 
07:43
For more information about the open source conference, visit http://www.oreilly.com/go/osconYT Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi
Views: 1069 O'Reilly
Applying data and machine learning to scale education Daphne Koller (Calico Labs | Coursera)
 
03:23
Machine learning and artificial intelligence offer a powerful set of tools to not only build predictive models but also create value from large amounts of data from online learners, from behaviors on the website to discovery/search to applications. Refining these models and truly teaching them how to predict what learners need and want is a significant challenge in edtech—because of the diversity in learner backgrounds and goals, the scale and variance of learning content, and the challenge of correlating content to real-world skills. Daphne Koller explains how Coursera is using large-scale data processing and machine learning in online education. Building on Coursera’s wealth of online learning data (24 million registered users), Daphne discusses the role of automation in scaling access to education that is personalized and efficient at connecting people with skills and knowledge throughout their lives. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 1531 O'Reilly
Launching Pokémon GO Phil Keslin (Niantic, Inc.), Beau Cronin (Embedding.js)
 
03:51
Pokémon GO was one of the fastest-growing games of all time, becoming a worldwide phenomenon in a matter of days. In conversation with Beau Cronin, Phil Keslin, CTO of Niantic, explains how the engineering team prepared for—and just barely survived—the experience. Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Views: 978 O'Reilly
Wes McKinney interviewed at O'Reilly JupyterCon
 
23:30
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Views: 2067 O'Reilly
How to break the rules Dan North (Dan North & Associates Ltd)
 
02:46
We invest so much in technology, so why do we seem to get so little benefit in return? We introduce new processes, tools, and methods, but when you stand back and squint, the organization still looks just the same. Is technology overhyped and oversold, as many would have us believe, or are we doing something that means we lose out on all those promised benefits? Societies work because we follow the rules, but what if those same rules are holding us back? The problem may be because we are failing to change our habits. Dan North introduces some uncomfortable truths from Eliyahu Goldratt, author of The Goal, a cornerstone of modern management theory, that help us recognize and challenge this behavior and unlock the true value from our technology. 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: 650 O'Reilly
Our Skynet Moment - Tim O'Reilly (O'Reilly Media)
 
20:49
A world ruled by machines that are hostile to humanity is not a distant possibility. Complex systems evolve from much simpler forebears, and the design of the systems we are building today is already shaping the future of truly intelligent machines. We are in a defining period of the struggle for human freedom. Tim O’Reilly draws on lessons from networked platforms such as Amazon, Google, Facebook, Airbnb, Uber, and Lyft to show how our economy and financial markets have also become increasingly managed by algorithms, making the case that income inequality, declining upward mobility, and job losses due to technology are not inevitable; they are the result of design choices we have made in the algorithms that manage our markets. Just as Google constantly updates its algorithms in pursuit of relevant search and ad results and as Facebook wrestles with how to rethink its algorithms for user engagement in response to fake news, we must rewrite the algorithms that shape our economy if we wish to create a more human-centered 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: 6989 O'Reilly
Jupyter and Anaconda: Shaking up the enterprise - Peter Wang
 
11:01
In recent years, open source has emerged as a valuable player in the enterprise, and companies like Jupyter and Anaconda are leading the way. Peter Wang discusses the coevolution of these two major players in the new open data science ecosystem and shares next steps to a sustainable 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 Google: http://plus.google.com/+oreillymedia
Views: 2832 O'Reilly
AI and open source paired to transform and disrupt with Peter Norvig (Google)
 
11:43
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Views: 535 O'Reilly
...and the new name is, Strata Data Conference.
 
02:25
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Views: 1071 O'Reilly
Why cloud-native enterprise security matters, Matt Stine (Pivotal)
 
05:00
The types of threats facing the enterprise are relatively well understood—malware, advanced persistent threats, and leaked credentials—which are typically addressed by slowing the rate of change, because change is seen as a harbinger of a potential threat. However, these security threats are increasing in volume and speed. In other words, attackers are moving faster, while we are moving slower. The answer is to create fundamentally different behaviors within security. Matt Stine offers an overview of the three principles of cloud-native security—rotate user credentials frequently, so they are only useful for a short time; repave servers and applications from a known good state often; and repair vulnerable software as soon as updates are available—and explains how this approach helps you deal with the exponentially increasing volume and velocity of threats. By investing in these new behaviors, you bring the power of cloud-native development and operations approaches to enterprise security and prepare your company to face the new wave of attackers. This keynote is sponsored by Pivotal 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: 933 O'Reilly
Where money meets open source - Nadia Eghbal (GitHub)
 
10:30
We know money has an important role to play in open source, but where does it help and where does it fall short? Nadia Eghbal explores how money can support open source development without changing its incentives—especially when grants are involved. 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: 2743 O'Reilly