[A version of this post appears on the O'Reilly Radar.]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, classifications, and various analytics tasks, and there’s an abundance of (fairly...

[A version of this post appears on the O'Reilly Radar.]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 describe recent trends in AI. Over the past decade, AI and machine learning (ML) have become extremely active research areas: the web site...

[A version of this post appears on the O'Reilly Radar.]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 Marketing) of Rockset, a startup focused on building solutions for interactive data science and live applications. Borthakur was the founding engineer of HDFS and creator of RocksDB, while Bhat is...

[A version of this post appears on the O'Reilly Radar.]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 in financial services, and he has experience building data science teams in the U.S. and in China.We had...

[A version of this post appears on the O'Reilly Radar.]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 machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies....

[A version of this post appears on the O'Reilly Radar.]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, the beginning of online shopping. You can’t use Amazon or any other shopping service...

[A version of this post appears on the O'Reilly Radar.]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 computing at IBM. Entity resolution (ER) refers to techniques and tools for identifying and linking...

[A version of this post appears on the O'Reilly Radar.]Why companies are turning to specialized machine learning tools like MLflow.By Ben Lorica and Mike Loukides.A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. Along the way, we described a new job role and title—machine learning engineer—focused on creating data products and making data science...

[A version of this post appears on the O'Reilly Radar.]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, there are important foundational technologies that come into play. This...

[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.In this episode of the Data Show, I spoke with Avner Braverman, co-founder and CEO of Binaris, a startup that aims to bring serverless to web-scale and enterprise applications. This conversation took place shortly after the release of a seminal paper from UC Berkeley (“Cloud Programming Simplified: A...