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[/] Ideas Learning Platform Conferences Shop Search Sign In On our radar AI Data Economy Operations Software Architecture Software Engineering Web Programming See all Ideas Learning Platform Conferences Shop Search On our radar AI Data Economy Operations Software Architecture Software Engineering Web Programming See all Ideas What's on our radar. AI Highlights from TensorFlow World in Santa Clara, California 2019 Experts explore TensorFlow 2.0's machine learning capabilities as well as the broader tools and applications of TensorFlow. AI Highlights from the O’Reilly Artificial Intelligence Conference in London 2019 Experts explore AI's most promising developments, emerging technologies, and profitable use cases. Four Short Links Four Short Links has moved New editions of Four Short Links are available at oreilly.com/radar. Data Show Podcast Machine learning for operational analytics and business intelligence The O’Reilly Data Show Podcast: Peter Bailis on data management, ML benchmarks, and building next-gen tools for analysts. Operations Java and the Java Virtual Machine for cloud native applications Java is ready for the cloud today. AI Checking in on TensorFlow 2.0: Keras, API cleanup, and more Paige Bailey, TensorFlow product manager at Google, highlights notable features of TensorFlow 2.0 and looks ahead to near-term updates. O'Reilly Insights New live online training courses Get hands-on training in machine learning, TensorFlow, blockchain, Python, cybersecurity, and many other topics. Data Show Podcast Machine learning and analytics for time series data The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting. Data Highlights from the Strata Data Conference in New York 2019 Experts explore new trends, tools, and techniques in data and machine learning. AI 2019 Emerging AI Pioneers Showcase winners AI startups vied for awards at the O’Reilly Artificial Intelligence Conference in San Jose. AI Highlights from the O’Reilly Artificial Intelligence Conference in San Jose 2019 Experts discuss new trends, tools, and issues in artificial intelligence and machine learning. Data Show Podcast Understanding deep neural networks The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning. Data Topics to watch at the Strata Data Conference in New York 2019 Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. Operations Kubernetes: A simple overview Get a basic understanding of Kubernetes and then go deeper with recommended resources. AI How graph algorithms improve machine learning A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks. AI How new tools in data and AI are being used in health care and medicine An overview of applications of new tools for overcoming silos, and for creating and sharing high-quality data. Data Show Podcast Becoming a machine learning practitioner The O’Reilly Data Show Podcast: Kesha Williams on how she added machine learning to her software developer toolkit. Data One simple chart: Who is interested in Apache Pulsar? Multi-layer architecture, scalability, multitenancy, and durability are just some of the reasons companies have been using Pulsar. AI How organizations are sharpening their skills to better understand and use AI To successfully implement AI technologies, companies need to take a holistic approach toward retraining their workforces. Economy Antitrust regulators are using the wrong tools to break up Big Tech What we really need is disclosure of information about the growth and health of the supply side of Big Tech's marketplaces. Data Show Podcast Labeling, transforming, and structuring training data sets for machine learning The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel. Emerging Tech Blockchain solutions in enterprise A review of the crucial steps for a successful blockchain-based solution. AI Got speech? These guidelines will help you get started building voice applications Speech adds another level of complexity to AI applications—today’s voice applications provide a very early glimpse of what is to come. Data Show Podcast Make data science more useful The O’Reilly Data Show Podcast: Cassie Kozyrkov on connecting data and AI to business. Operations Taming chaos: Preparing for your next incident Tim Craig and Gustavo Franco on establishing robust and well-supported incident response processes. AI Learning from adversaries Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI. AI One simple graphic: Researchers love PyTorch and TensorFlow Interest in PyTorch among researchers is growing rapidly. Video Open Source Ask not what Brands™ can do for you VM Brasseur discusses the help new companies need to become authentic members of the free and open source software community. Video Open Source Open source force multipliers Adrian Cockcroft says the most successful open-source-based businesses have turned their partners and developer communities into force multipliers for their own marketing and engineering teams. Video Open Source The war for the soul of open source Drawing on 13 years spent building the Chef community, Adam Jacob takes a deep dive into the soul of open source. Video Open Source O’Reilly Radar: Open source technology trends—What our users tell us Using aggregate analysis of O’Reilly online learning content usage and search data, Roger Magoulas shares key insights that impact the technology tools ecosystem. Video Open Source Managing machines Pete Skomoroch covers what you need to know as we shift from a world of deterministic programs to systems that give unpredictable results on ever-changing training data. Video Open Source O'Reilly Open Source and Frank Willison Awards The O’Reilly Open Source Awards recognize individual contributors who have demonstrated exceptional leadership, creativity, and collaboration in the development of open source software. Data Show Podcast Acquiring and sharing high-quality data The O’Reilly Data Show Podcast: Roger Chen on the fair value and decentralized governance of data. Video Open Source Better living through software Tiffani Bell shares three lessons she's learned exploring how technology can help the less fortunate. Video Open Source Why Amazon cares about open source Arun Gupta discusses the reasons why AWS is committed to open projects and communities. Video Open Source The next age of open innovation Alison McCauley looks at how blockchain technology offers new tools that can help extend the ethos of open innovation into new areas. Video Open Source The role of open source in mitigating natural disasters Pedro Cruz and Brad Topol discuss Call for Code, a global developer competition that uses open source technologies to address natural disasters. Open Source Highlights from the O'Reilly Open Source Software Conference in Portland 2019 Experts explore the role open source software plays in fields as varied as machine learning, blockchain, disaster response, and more. Video Open Source Built to last: Building and growing open source communities Kay Williams explores key lessons for building strong open source communities based on Microsoft’s real-world experience with Kubernetes and VSCode. Data Managing machine learning in the enterprise: Lessons from banking and health care A look at how guidelines from regulated industries can help shape your ML strategy. AI The circle of fairness We shouldn't ask our AI tools to be fair; instead, we should ask them to be less unfair and be willing to iterate until we see improvement. AI Highlights from the O'Reilly Artificial Intelligence Conference in Beijing 2019 Experts explore the future of hiring, AI breakthroughs, embedded machine learning, and more. Video AI AI and retail Mikio Braun takes a look at Zalando and the retail industry to explore how AI is redefining the way ecommerce sites interact with customers. Video AI AI and systems at RISELab Ion Stoica outlines a few projects at the intersection of AI and systems that UC Berkeley's RISELab is developing. Video AI Toward learned algorithms, data structures, and systems Tim Kraska outlines ways to build learned algorithms and data structures to achieve “instance optimality” and unprecedented performance for a wide range of applications. Video AI Designing computer hardware for artificial intelligence Michael James examines the fundamental drivers of computer technology and surveys the landscape of AI hardware solutions. Video AI The future of hiring and the talent market with AI Maria Zheng examines AI and its impact on people’s jobs, quality of work, and overall business outcomes. Video AI The future of machine learning is tiny Pete Warden digs into why embedded machine learning is so important, how to implement it on existing chips, and shares new use cases it will unlock. Video AI Data orchestration for AI, big data, and cloud Haoyuan Li offers an overview of a data orchestration layer that provides a unified data access and caching layer for single cloud, hybrid, and multicloud deployments. Video AI Top AI breakthroughs you need to know Abigail Hing Wen discusses some of the most exciting recent breakthroughs in AI and robotics. Data Show Podcast Tools for machine learning development The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. AI RISELab’s AutoPandas hints at automation tech that will change the nature of software development Neural-backed generators are a promising step toward practical program synthesis. Data One simple chart: Who is interested in Spark NLP? As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. AI AI and machine learning will require retraining your entire organization To successfully integrate AI and machine learning technologies, companies need to take a more holistic approach toward training their workforce. Data Show Podcast Enabling end-to-end machine learning pipelines in real-world applications The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. Data What are model governance and model operations? A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Data The quest for high-quality data Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. Video Software Architecture Choices of scale Michael Feathers explores various scaling strategies in light of research about human cognition and systems cohesion. Video Software Architecture Prioritizing technical debt as if time and money mattered Adam Tornhill offers a new perspective on software development that will change how you view code. Video Software Architecture From the trenches with Rebecca Parsons Rebecca Parsons shares the story of her career path and her work as an architect. Video Operations The cloud native elephant in the room Bob Quillin outlines how the cloud native community can reduce complexity, be more inclusive to all teams, and create a more open, multicloud future. Video Operations Kubernetes for the impatient Bridget Kromhout looks over the cloud native landscape and talks about what’s new, what’s next, and what you need to get started with Kubernetes right now. 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