Drawing parallels and distinctions around neural networks, data sets, and hardware.
The O’Reilly Data Show Podcast: David Talby on a new NLP library for Spark, and why model development starts after a model gets deployed to production.
Analyzing tweets and posts around Trump, Russia, and the NFL using information entropy, network analysis, and community detection algorithms.
Reduce troubleshooting time from days to seconds.
Multi-model database architectures provide a flexible data governance platform
The convergence of big data, artificial intelligence, and business intelligence
The O’Reilly Data Show Podcast: Rhea Liu on technology trends in China.
Solving challenges of data analytics to make data accessible to all.
There are advantages to having a search engine built into a database.
Fast data and virtualization are shifting the way telcos approach the IoT.
The right AI solution is the one that fits the skill set of the users and solves the highest-priority problems for the business.
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models.
The O'Reilly Podcast: Han Yang on the importance of investment, innovation, and improvisation.
Applying methods from Agile software development to data science projects.
Untangling data pipelines with a streaming platform.
Become more agile with business intelligence and data analytics.
How human-in-the-loop data analytics is accelerating the discovery of insights.
The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future.
The O’Reilly Podcast: Achieving greater reliability and security when integrating data.
The O'Reilly Podcast: Gary Orenstein on developing a data infrastructure that enables the latest applications in machine learning and AI.
Utilizing GPU power to improve performance and agility.
The secret sauce for survival relies on extracting the value of data analytics.
There are endless possibilities when we connect the unconnected. Raghunath Nambiar discusses the magnitude of challenges and opportunities across industry segments.
Manuela Veloso provides an overview of the CoBot mobile service robots and their symbiotic autonomy, which lets the robots ask for help to overcome their limitations.
danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.
Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling
Robin Thottungal discusses the EPA's digital transformation and how it's leading to a better understanding of the interdependencies between our air, water, land, and public health.
Chad W. Jennings walks through a serverless big data architecture on Google Cloud that helps unravel the mysteries of human emotion.
Joanna Bryson says AI's main threat is not that it will do anything to us, but that we'll use it to predict and manipulate our behaviors.
Tim O'Reilly says entrepreneurs need to set their sights on how we can use big data, sensors, and AI to create amazing human experiences and the economy of the future.
Tanvi Singh asks: Do long-standing, non-Internet companies have the evidence-driven culture and platforms needed to get benefits from big data tools?
Joseph Sirosh shares a story about a volunteer’s dilemma, an engineer’s ingenuity, and how AI, cloud, data, and devices came together to save snow leopards.
The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies.
Watch highlights covering data science, data engineering, data-driven business, and more. From Strata Data Conference in New York 2017.
Ben Lorica discusses the state of machine learning.
Ever wondered how Spotify seems to know what you want? Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business.
Anil Gadre shares how MapR customers using a converged data platform are creating new apps for the enterprise.
Nikita Shamgunov explores the future of databases for fast-learning adaptable applications.
Ziya Ma explains how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads.
Cesar Delgado joins Mike Olson to show how Apple is using its big data stack and expertise to solve non-data problems.
Manuel García-Herranz explains how to apply advances in data science, complex systems, artificial intelligence, and computational sociology to help the most vulnerable.
Jer Thorp talks about swimming upstream to the point where data becomes data.
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that predicts financial crime at the city-block level.
Probabilistic computation holds too much promise for it to be stifled by playing zero sum games with data.
Learn how to add big data to your organization's business processes.
A deep dive into Uber's engineering effort to optimize geospatial queries in Presto.
The O'Reilly Podcast: Dave Cassel on building a unified enterprise database to store and query any type of data.
Learn the difference between live and streaming anomaly detection systems and how to address the challenges different data velocities pose.
See examples of the many traps you can fall into if you use off-the-shelf anomaly detection techniques.
Learn about some of the common issues you will encounter when developing algorithms for a modern anomaly detection system.
The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark.
Learn some of the benefits of using real-time processing of data for some use cases.
Learn to identify problems that may indicate data team dysfunction.
6 lessons learned to get a quick start on productivity.
A look at the Layer API, TFLearn, and Keras.
Applications of CNNs for real-time image classification in the enterprise.
Building a production-grade real-time image classification system.
Why machine learning needs real-time data infrastructure.
The O’Reilly Data Show Podcast: Kenneth Stanley on neuroevolution and other principled ways of exploring the world without an objective.
Nadia Eghbal explores how money can support open source development without changing its incentives.