The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. In this episode of the Data Show, I spoke with Nick Pentreath, principal engineer at IBM. Pentreath was an early and avid user of Apache Spark, and he subsequently became a Spark committer and PMC member. Most recently his focusContinue reading “Enabling end-to-end machine learning pipelines in real-world applications”
Author Archives: Ben Lorica
What are model governance and model operations?
A look at the landscape of tools for building and deploying robust, production-ready machine learning models. By Ben Lorica, Harish Doddi, David Talby. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. A few factors are contributing to this strong interest in implementingContinue reading “What are model governance and model operations?”
The quest for high-quality data
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. By Ihab Ilyas and Ben Lorica. “AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. There has been a significant increase in our ability to build complex AI models for predictions,Continue reading “The quest for high-quality data”
AI adoption is being fueled by an improved tool ecosystem
We now are in the implementation phase for AI technologies. In this post, I share slides and notes from a keynote that Roger Chen and I gave at the 2019 Artificial Intelligence conference in New York City. In this short summary, I highlight results from a — survey (AI Adoption in the Enterprise) and describeContinue reading “AI adoption is being fueled by an improved tool ecosystem”
Bringing scalable real-time analytics to the enterprise
The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. In this episode of the Data Show, I spoke with Dhruba Borthakur (co-founder and CTO) and Shruti Bhat (SVP of Product) of Rockset, a startup focused on building solutions for interactive data science and liveContinue reading “Bringing scalable real-time analytics to the enterprise”
Applications of data science and machine learning in financial services
The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show, I spoke with Jike Chong, chief data scientist at Acorns, a startup focused on building tools for micro-investing. Chong has extensive experience using analytics and machine learning inContinue reading “Applications of data science and machine learning in financial services”
Becoming a machine learning company means investing in foundational technologies
Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. I will highlight the results of a recent survey on machineContinue reading “Becoming a machine learning company means investing in foundational technologies”
How AI and machine learning are improving customer experience
From data quality to personalization, to customer acquisition and retention, and beyond, AI and ML will shape the customer experience of the future. By Ben Lorica and Mike Loukides. What can artificial intelligence (AI) and machine learning (ML) do to improve customer experience? AI and ML already have been intimately involved in online shopping since, well,Continue reading “How AI and machine learning are improving customer experience”
Real-time entity resolution made accessible
The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show, I spoke with Jeff Jonas, CEO, founder and chief scientist of Senzing, a startup focused on making real-time entity resolution technologies broadly accessible. He was previously a fellow and chief scientist of context computingContinue reading “Real-time entity resolution made accessible”
Why companies are in need of data lineage solutions
The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show, I spoke with Neelesh Salian, software engineer at Stitch Fix, a company that combines machine learning and human expertise to personalize shopping. As companies integrate machine learning into their products and systems,Continue reading “Why companies are in need of data lineage solutions”