Sarah Guo on the case for bots
The O’Reilly Bots podcast: What a VC investor sees in chatbots.
AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Building human-assisted AI applications
The O’Reilly Data Show Podcast: Adam Marcus on intelligent systems and human-in-the-loop computing.
What are bots? Here’s the background.
O’Reilly Bots Podcast: Why AI-driven chatbots are a big deal right now.
Enabling enterprise adoption of AI technologies
The O’Reilly Data Show Podcast: Jana Eggers on building applications that rely on synaptic intelligence.
From image recognition to object recognition
The FusionNet deep learning architecture tackles three-dimensional objects with underlying architectures that “think” in three dimensions.
Using Agile development techniques for data science projects
The O’Reilly Data Show Podcast: John Akred on building data platforms and enterprise data strategies.
Don’t replace people. Augment them.
If we let machines put us out of work, it will be because of a failure of imagination and the will to make a better future.
Applications of AI technologies: Peter Norvig in conversation with Tim O’Reilly
Exploring the rise of conversational interfaces, how AI will change the way programmers create software, and open source tools for AI and machine learning.
Commercial speech recognition systems in the age of big data and deep learning
The O’Reilly Data Show Podcast: Yishay Carmiel on applications of deep learning in text and speech.
To supervise or not to supervise in AI?
If you look carefully at how humans learn, you see surprisingly little unsupervised learning.
The dynamic forces shaping AI
It’s time to debate scenarios that will shift the balance of data, compute resources, algorithms, and talent.
Building intelligent applications with deep learning and TensorFlow
The O’Reilly Data Show Podcast: Rajat Monga on the current state of TensorFlow and training large-scale deep neural networks.
What is Artificial Intelligence?
Mike Loukides and Ben Lorica examine factors that have made AI a hot topic in recent years, today's successful AI systems, and where AI may be headed.
Hybrid transactional/analytic systems and the quest for database nirvana
The O’Reilly Data Show Podcast: Rohit Jain on the challenges of hybrid data management systems.
Why 2016 is shaping up to be the Year of the Bot
A survey of the bot landscape and the opportunities it affords the Next:Economy.
Keynotes from Strata + Hadoop World in London 2016
Watch full keynotes covering AI, data science, data tools, and more. From Strata + Hadoop World in London 2016.
Using AI to build a comprehensive database of knowledge
The O’Reilly Data Show Podcast: Mike Tung on large-scale structured data extraction, intelligent systems, and the importance of knowledge databases.
The AI business landscape
A data-driven analysis of companies that are adopting artificial intelligence.
Structured streaming comes to Apache Spark 2.0
The O’Reilly Data Show Podcast: Michael Armbrust on enabling users to perform streaming analytics, without having to reason about streaming.
Building and deploying large-scale machine learning applications
The O’Reilly Data Show Podcast: Danny Bickson on recommenders, data science, and applications of machine learning.
Deep learning meets genome biology
An interview with Brendan Frey about realizing new possibilities in genomic medicine.
Semi-supervised, unsupervised, and adaptive algorithms for large-scale time series
The O’Reilly Data Show Podcast: Ira Cohen on developing machine learning tools for a broad range of real-time applications.
Practical machine learning techniques for building intelligent applications
The O’Reilly Data Show Podcast: Mikio Braun on practical data science, deep neural networks, machine learning, and AI.
Keynotes from Strata + Hadoop World in San Jose 2016
Watch full keynotes covering data science, data tools, enterprise adoption and more. From Strata + Hadoop World in San Jose 2016.