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The Practical Quant wrote a new blog post titled What are model governance and model operations?
A look at the landscape of tools for building and deploying robust, production-ready machine learning models.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 implementing ML in products and services. First, the machine learning community has conducted groundbreaking research in many areas of interest to companies, and much of this research has been conducted out in the open via preprints and conference presentations. We are also beginning to see...
12 hours ago
The Practical Quant wrote a new blog post titled Enabling end-to-end machine learning pipelines in real-world applications
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 focus has been on machine learning, particularly deep learning, and he is part of a group within IBM focused on building open source tools that enable end-to-end machine learning pipelines.We had a great conversation spanning many topics, including:AI Fairness...
4 days ago
The Practical Quant wrote a new blog post titled The quest for high-quality data
[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 easy-to-use) tools that allow data scientists and analysts to provision complex models within days. As...
6 days ago
The Practical Quant wrote a new blog post titled AI adoption is being fueled by an improved tool ecosystem
[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 arxiv.org had an average daily upload of around 100 machine learning papers in 2018. With all the...
14 days ago
The Practical Quant wrote a new blog post titled Bringing scalable real-time analytics to the enterprise
[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 an experienced product and marketing executive focused on enterprise software and data products....
19 days ago
The Practical Quant wrote a new blog post titled Applications of data science and machine learning in financial services
[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 great conversation spanning many topics, including:Potential applications of data science in...
33 days ago
The Practical Quant wrote a new blog post titled Becoming a machine learning company means investing in foundational technologies
[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. This is a good time to assess enterprise activities, as there are many indications a number of...
35 days ago
The Practical Quant wrote a new blog post titled How AI and machine learning are improving customer experience
[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 without getting recommendations, which are often personalized based on the vendor’s understanding of...
42 days ago
The Practical Quant wrote a new blog post titled Real-time entity resolution made accessible
[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 manifestations of the same entity/object/individual. Ironically, ER itself has many different names...
47 days ago
The Practical Quant wrote a new blog post titled It's time for data scientists to collaborate with researchers in other disciplines
[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Forough Poursabzi Sangdeh on the interdisciplinary nature of interpretable and interactive machine learning.In this episode of the Data Show, I spoke with Forough Poursabzi-Sangdeh, a postdoctoral researcher at Microsoft Research New York City. Poursabzi works in the interdisciplinary area of interpretable and interactive machine learning. As models and algorithms become more widespread, many important considerations are becoming active research areas: fairness and bias, safety and reliability, security and...
56 days ago
The Practical Quant wrote a new blog post titled Specialized tools for machine learning development and model governance are becoming essential
[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 work in production, a role that was beginning to emerge in the San Francisco Bay Area two years...
56 days ago
The Practical Quant wrote a new blog post titled What data scientists and data engineers can do with current generation serverless technologies
[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 Berkeley View on Serverless Computing”), and this paper seeded a lot of our conversation during this...
56 days ago
The Practical Quant wrote a new blog post titled Why companies are in need of data lineage solutions
[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 shouldn’t come as a shock, as current machine learning and AI technologies require large amounts of...
56 days ago
The Practical Quant wrote a new blog post titled How AI can help to prevent the spread of disinformation
[This post originally appeared on Information Age.]Our industry has a duty to discuss the dark side of technology. Yet many organisations — including some that wield enormous power and influence — are reluctant to acknowledge that their platforms are used to spread disinformation, foster hatred, facilitate bullying, and much else that makes our world a worse place in which to live.Disinformation — what is sometimes called “fake news” — is a prime example of the unintended consequences of new technology. Its purpose is purely to create discord; it poisons public discourse and feeds festering...
56 days ago
The Practical Quant wrote a new blog post titled Why your attention is like a piece of contested territory
[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: P.W. Singer on how social media has changed, war, politics, and business.In this episode of the Data Show, I spoke with P.W. Singer, strategist and senior fellow at the New America Foundation, and a contributing editor at Popular Science. He is co-author of an excellent new book, LikeWar: The Weaponization of Social Media, which explores how social media has changed war, politics, and business. The book is essential reading for anyone interested in how social media has become an important new battlefield in...
56 days ago
The Practical Quant wrote a new blog post titled You created a machine learning application. Now make sure it's secure.
[A version of this post appears on the O'Reilly Radar.]The software industry has demonstrated, all too clearly, what happens when you don’t pay attention to security.By Ben Lorica and Mike Loukides.In a recent post, we described what it would take to build a sustainable machine learning practice. By “sustainable,” we mean projects that aren’t just proofs of concepts or experiments. A sustainable practice means projects that are integral to an organization’s mission: projects by which an organization lives or dies. These projects are built and supported by a stable team of engineers, and...
56 days ago
The Practical Quant wrote a new blog post titled Algorithms are shaping our lives - here's how we wrest back control
[A version of this post appears on the O'Reilly Radar.]The O'Reilly Data Show Podcast: Kartik Hosanagar on the growing power and sophistication of algorithms.In this episode of the Data Show, I spoke with Kartik Hosanagar, professor of technology and digital business, and professor of marketing at The Wharton School of the University of Pennsylvania.  Hosanagar is also the author of a newly released book, A Human’s Guide to Machine Intelligence, an interesting tour through the recent evolution of AI applications, which draws from his extensive experience at the intersection of business and...
56 days ago
The Practical Quant wrote a new blog post titled Gliding down the world's longest zipline
Ras Al Khaimah's Jebel Jais mountain in the U.A.E. is home to the longest zipline in the world. The video below is from a GoPro camera on my helmet and was shot on 2019-03-14. I was the last person to zip down that day. There are two stages to this zipline site:Stage 1: Is the longer of the two stages and you "fly" while lying down on a harness with your hands holding straps behind your back (for optimum aerodynamics). The view is spectacular!Stage 2: In this stage you are in a "sitting position", and truth be told, based on my experience and observation, I detected more apprehension from the...
56 days ago
The Practical Quant wrote a new blog post titled The evolution and expanding utility of Ray
[A version of this post appears on the O'Reilly Radar.]There are growing numbers of users and contributors to the framework, as well as libraries for reinforcement learning, AutoML, and data science.In a recent post, I listed some of the early use cases described in the first meetup dedicated to Ray—a distributed programming framework from UC Berkeley’s RISE Lab. A second meetup took place a few months later, and both events featured some of the first applications built with Ray. On the development front, the core API has stabilized and a lot of work has gone into improving Ray’s performance...
123 days ago
The Practical Quant wrote a new blog post titled 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 trainingIn a recent O’Reilly survey, we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated. LinkedIn recently found that demand for data scientists in...
124 days ago