Highlights from Strata + Hadoop World in New York 2016
Watch highlights covering data science, big data, data in the enterprise, and more. From Strata + Hadoop World in New York 2016.
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
Watch highlights covering data science, big data, data in the enterprise, and more. From Strata + Hadoop World in New York 2016.
Alistair Croll looks at the sometimes surprising ways that machine learning is insinuating itself into our every day lives.
What explains the gap between what machines do well and what people do well? And what needs to happen before machines can match the flexibility and power of human cognition?
The O’Reilly Bots Podcast: Group interaction through social computing.
Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more. From the O'Reilly AI Conference in New York 2016.
Significant progress in AI will require breakthroughs in unsupervised/predictive learning, as well as in reasoning, attention, and episodic memory.
Gary Marcus discusses the machine-human connection.
Aparna Chennapragada discusses Google's process for developing data products.
Naveen Rao outlines deep learning challenges and explores how changes to the organization of computation and communication can lead to advances in capabilities.
Rana El Kaliouby explores why emotion in AI is critical to accelerating adoption of AI systems.
Tim O’Reilly explains why we can’t just use technology to replace people; we must use it to augment them so they can do things that were previously impossible.
Building reliable, robust software is hard. It is even harder when we move from deterministic domains, such as balancing a checkbook, to uncertain domains, such as recognizing speech or objects in an image.
Lili Cheng discusses the human aspects of artificial intelligence.
Shahin Farshchi examines role artificial intelligence will play in driverless cars.
Genevieve Bell explores the meaning of “intelligence” within the context of machines and its cultural impact on humans and their relationships.
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications, Scala and Spark, and cloud computing.
The O’Reilly Bots Podcast: A look at some of the technologies behind the chatbot boom.
The O’Reilly Data Show Podcast: Michael Li on the state of data engineering and data science training programs.
The O’Reilly Bots Podcast: Can bots replace lawyers?
How algorithms will optimize everything.
The O’Reilly Bots Podcast: Applying the principles of normal human interaction to chatbots.
The O’Reilly Data Show Podcast: Rana el Kaliouby on deep learning, emotion detection, and user engagement in an attention economy.
The O’Reilly Bots Podcast: Measuring interactions between bots and humans.
Aman Naimat provides the results of a data-driven analysis into the U.S. industries and companies using or building AI products right now.