An overview of adoption, and suggestions to companies interested in AI technologies. Artificial intelligence (AI) has attracted a lot of media coverage recently, and companies are rushing to figure out how AI technologies will impact them. Much of the coverage is devoted to research breakthroughs or new product offerings. But how are companies integrating AIContinue reading “The state of AI adoption”
Author Archives: Ben Lorica
Practical applications of reinforcement learning in industry
[A version of this post appears on the O’Reilly Radar.] An overview of commercial and industrial applications of reinforcement learning. The flurry of headlines surrounding AlphaGo Zero (the most recent version of DeepMind’s AI system for playing Go) means interest in reinforcement learning (RL) is bound to increase. Next to deep learning, RL is amongContinue reading “Practical applications of reinforcement learning in industry”
Machine learning at Spotify: You are what you stream
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Christine Hung on using data to drive digital transformation and recommenders that increase user engagement. In this episode of the Data Show, I spoke with Christine Hung, head of data solutions at Spotify. Prior to joining Spotify, she led dataContinue reading “Machine learning at Spotify: You are what you stream”
The current state of Apache Kafka
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap. In this episode of the Data Show, I spoke with Neha Narkhede, co-founder and CTO of Confluent. As I noted in a recent post on “The Age of Machine Learning,” dataContinue reading “The current state of Apache Kafka”
Building a natural language processing library for Apache Spark
[A version of this post appears on the O’Reilly Radar.] 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. When I first discovered and started using Apache Spark, a majority of the use cases I used it forContinue reading “Building a natural language processing library for Apache Spark”
Machine intelligence for content distribution, logistics, smarter cities, and more
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Rhea Liu on technology trends in China. In this episode of the Data Show, I spoke with Rhea Liu, analyst at China Tech Insights, a new research firm that is part of Tencent’s Online Media Group. If there’s one placeContinue reading “Machine intelligence for content distribution, logistics, smarter cities, and more”
How companies can navigate the age of machine learning
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models. Over the last few years, the data community has focused on gathering and collecting data, building infrastructure for that purpose, and using data to improve decision-making. We are now seeing a surge in interest in advancedContinue reading “How companies can navigate the age of machine learning”
Vehicle-to-vehicle communication networks can help fuel smart cities
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Bruno Fernandez-Ruiz on the importance of building the ground control center of the future. In this episode of the Data Show, I spoke with Bruno Fernandez-Ruiz, co-founder and CTO of Nexar. We first met when he was leading Yahoo! technicalContinue reading “Vehicle-to-vehicle communication networks can help fuel smart cities”
Transforming organizations through analytics centers of excellence
[A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: Carme Artigas on helping enterprises transform themselves with big data tools and technologies. In this episode of the Data Show, I spoke with Carme Artigas, co-founder and CEO of Synergic Partners (a Telefonica company). As more companies adopt bigContinue reading “Transforming organizations through analytics centers of excellence”
The state of machine learning in Apache Spark
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ion Stoica and Matei Zaharia explore the rich ecosystem of analytic tools around Apache Spark. In this episode of the Data Show, we look back to a recent conversation I had at the Spark Summit in San Francisco with IonContinue reading “The state of machine learning in Apache Spark”