Technical

This week, O'Reilly's Mac Slocum chats with Ben Lorica, O'Reilly's chief data scientist and host of the O'Reilly Data Show Podcast. Lorica talks about emerging themes in the data space, from machine learning to deep learning to artificial intelligence, and how those technologies relate to one another and how they're fueling real-time data applications. Lorica also talks about how the concept of a data center is evolving, the importance of open source big data components, and the rise in interest of big data ethics.

Ben Lorica on the Emergence of Intelligent Real-Time Data Applications

Something remarkable is happening in the world of artificial intelligence. At the O’Reilly AI Conference two weeks ago, people weren’t just talking about AI as a far-off dream; they were talking about AI as something that exists in real products today.

In this episode of the O’Reilly Bots podcast, I talk with three artificial-intelligence practitioners about the real practice of AI: Hilary Mason, Jimi Smoot, and Roger Chen.

Real AI Products Arrive

In this episode of the O’Reilly Bots Podcast, Pete Skomoroch and I recap O’Reilly Bot Day, held October 19, 2016, in San Francisco. The event gave us a good picture of what the bot community—and bot landscape—looks like, and the diverse group of attendees conveyed a strong sense of optimism about bots. Slides from Bot Day presentations are available here.

We then speak with Shivon Zilis, partner at Bloomberg Beta, who has written extensively about artificial intelligence and its impact on a variety of industries. She wrote influential surveys of what she calls machine intelligence in 2014 and 2015, and she’s planning to publish her 2016 update at the end of October.

Shivon Zilis on the Machine Intelligence Landscape, and Bot Day Wrap-Up

In this podcast episode, I speak with Ian Fyfe, senior director for product marketing at Zoomdata, about the next generation of business intelligence software and how it addresses what Fyfe calls “the modern world of big and streaming data.”

How Big, Fast Data is Transforming Business Intelligence

In this episode of the Data Show, I spoke with Geoffrey Bradway, VP of engineering at Numerai, a new hedge fund that relies on contributions of external data scientists. The company hosts regular competitions where data scientists submit machine learning models for classification tasks. The most promising submissions are then added to an ensemble of models that the company uses to trade in real-world financial markets.

Programming Collective Intelligence for Financial Trading

In this episode of the Security Podcast, I talk with Scott Roberts, security operations manager at GitHub. We discuss threat intelligence, incident response, and how they interrelate.

Scott Roberts on Intelligence-Driven Incident Response

One of the paradoxes of artificial intelligence is that the companies poised to make the most of it are those with the most data: enterprises; yet, they have the most institutional and organizational difficulties to overcome to do so. In this episode of the O’Reilly podcast, I had a chance to discuss the challenges with someone whose job it is to tackle these issues—Ron Bodkin, VP and general manager of artificial intelligence at Teradata.

Enterprises are the Natural Environment for AI Deployments

In this episode of the O’Reilly Podcast, I speak with Amit Vij, CEO and co-founder of Kinetica, a company that has developed an analytics database that uses graphics processing units (GPUs). We talk about how organizations are using GPU-accelerated databases to converge artificial intelligence (AI) and business intelligence (BI) on a single platform.

Amit Vij on GPU-Accelerated Analytics Databases

In this episode of the O’Reilly Media Podcast, I spoke with Gayle Sheppard, vice president and general manager of Saffron AI Group at Intel, and David Thomas, chief analytics officer for Bank of New Zealand (BNZ). Our conversations centered around the utility of artificial intelligence in the financial services industry.

Associative Memory AI: Enabling Machines to Fight Financial Crime With Human-Like Reasoning

Taking Banking Into the Future With Lean Analytics and AI

In this O’Reilly Podcast, Rachel Roumeliotis, vice president of content strategy at O’Reilly Media, speaks with Atif Kureishy, global VP of emerging practices and artificial intelligence and deep learning at Teradata, a data and analytics company.  They discuss how enterprises are currently investing in artificial intelligence (AI), which industries are seeing the most impact, barriers to AI implementation, and future trends.

Technical

Ashutosh Madan