[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis. In this episode of the Data Show, I spoke with Siwei Lyu, associate professor of computer science at the University at Albany, State University of New York. LyuContinue reading “The technical, societal, and cultural challenges that come with the rise of fake media”
Author Archives: Ben Lorica
Using machine learning and analytics to attract and retain employees
[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data Show, I spoke with Maryam Jahanshahi, research scientist at TapRecruit, a startup that uses machine learning and analytics to helpContinue reading “Using machine learning and analytics to attract and retain employees”
How companies are building sustainable AI and ML initiatives
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. By Ben Lorica and Paco Nathan. [This post originally appeared on the O’Reilly Radar.] In 2017, we published “How Companies Are Putting AI to Work Through Deep Learning,” a report based on a survey weContinue reading “How companies are building sustainable AI and ML initiatives”
How machine learning impacts information security
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies. In this episode of the Data Show, I spoke with Andrew Burt, chief privacy officer and legal engineer at Immuta, a company building data management tools tuned forContinue reading “How machine learning impacts information security”
9 AI trends on our radar
[A version of this post appears on the O’Reilly Radar.] How new developments in automation, machine deception, hardware, and more will shape AI. Here are key AI trends business leaders and practitioners should watch in the months ahead. We will start to see technologies enable partial automation of a variety of tasks. Automation occurs inContinue reading “9 AI trends on our radar”
7 data trends on our radar
[A version of this post appears on the O’Reilly Radar.] From infrastructure to tools to training, here’s what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training In a recent O’Reilly survey,Continue reading “7 data trends on our radar”
In the age of AI, fundamental value resides in data
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Haoyuan Li on accelerating analytic workloads, and innovation in data and AI in China. In this episode of the Data Show, I spoke with Haoyuan Li, CEO and founder of Alluxio, a startup commercializing the open source project with the same name (full disclosure:Continue reading “In the age of AI, fundamental value resides in data”
Books I enjoyed in 2018
Here are nonfiction books I enjoyed reading in 2018 (more precisely, these are books I read during the second part of 2017 through 2018). Not all of these books were released this year, although most them are 2018 releases. I read many of these using Apple Books on my iPad but I’ve also gotten backContinue reading “Books I enjoyed in 2018”
Deep automation in machine learning
[A version of this post appears on the O’Reilly Radar.] We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. By Ben Lorica and Mike Loukides In a previous post, we talked about applications of machine learning (ML) to software development, whichContinue reading “Deep automation in machine learning”
Assessing progress in automation technologies
When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude. In this post, I share slides and notes from a keynote Roger Chen and I gave at the Artificial Intelligence conference in London in October 2018. We presented an overview of the state of automation technologies:Continue reading “Assessing progress in automation technologies”