2022 Trends in Data and AI

Subscribe • Previous Issues FREE Report: Trends in Data, Machine Learning, and AI This short guide identifies trends that will be relevant to organizations across all industries and sectors over the next 12-18 months. Download What is Graph Intelligence? In a new post with Leo Meyerovich of Graphistry, we highlight the current state of Graph Intelligence, aContinue reading “2022 Trends in Data and AI”

Experimentation Tools; Surge in MLOps; 2021 Books

Subscribe • Previous Issues Data Exchange podcast Modern Experimentation Platforms:  Che Sharma is the founder and CEO of Eppo, an experimentation framework that integrates with modern data platforms (lakehouses and cloud data warehouses). Investors and engineers have created an abundance of companies that specialize in ML infrastructure and MLOps, while applications like experimentation have received little attention.Continue reading “Experimentation Tools; Surge in MLOps; 2021 Books”

Confidential Computing; DataOps and MLOps

Subscribe • Previous Issues Get Ready For Confidential Computing A comprehensive data privacy and security policy involves protecting the confidentiality and integrity of data in any of these three states: at rest, in use, and in transit. In a new post with Intel Capital’s Assaf Araki, we describe the ecosystem of tools focused on protecting data while in use.Continue reading “Confidential Computing; DataOps and MLOps”

Gradient Flow #46: Smarter Language Models; Data Engineering Trends; Graph Intelligence

Subscribe • Previous Issues “It’s time for big data scientists to become social scientists, not just computer scientists.” – Justin Grimmer FREE Report: Data Engineering Survey Results We examine the changing landscape of data engineering challenges, tools, and opportunities. This report is based on a global online survey that drew 372 respondents. Download Data Exchange podcast MakingContinue reading “Gradient Flow #46: Smarter Language Models; Data Engineering Trends; Graph Intelligence”

Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models

Subscribe • Previous Issues “There’s no sense in being precise when you don’t even know what you’re talking about.” – John von Neumann Data Exchange podcast Deploying Machine Learning Models Safely and Systematically  Hamel Husain is Staff Machine Learning Engineer at GitHub, and a core developer for fastai.  Machine Learning in Astronomy and Physics    Dr. VivianaContinue reading “Gradient Flow #45: Top Places to Work for Data Scientists; Model Serving; Tuning Language Models”

Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview

Subscribe • Previous Issues “Life is like an ice cream cone. It’s melting so you better eat it before it’s too late.” – Lila.GPT3 FREE Report: 2021 NLP Industry Survey Results Read this new report and learn how companies are building language applications today. The 2021 NLP Industry Survey was a global online survey that drew aContinue reading “Gradient Flow #44: 2021 NLP Industry Survey Results; No-Code Overview”

Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis

Subscribe • Previous Issues “Done is better than perfect.” – Sheryl Sandberg Data Exchange podcast The State of Data Journalism    A conversation with Tara Kelly, Data Editor at DataJournalism.com (DJC) an organization created by the European Journalism Centre. DJC provides journalists and media groups with free resources, materials, online video courses and community forums.  Why GraphContinue reading “Gradient Flow #43: Graph Databases; Language Understanding; Program Synthesis”

Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores

Subscribe • Previous Issues “The slow philosophy is not about doing everything in tortoise mode. It’s less about the speed and more about investing the right amount of time and attention in the problem so you solve it.” – Carl Honoré Data Exchange podcast An oscilloscope for deep learning   Charles Martin is the founder of CalculationContinue reading “Gradient Flow #42: Data Quality; Oscilloscope for Deep Learning; Feature Stores”

Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns

Subscribe • Previous Issues “Time matters most when decisions are irreversible.”  – Peter Bernstein Data Exchange podcast Changes to the data science role and to data science tools   Sean Taylor is a Data Science Manager at Lyft, and was previously a research scientist and manager at Facebook where he was instrumental in the creation and releaseContinue reading “Gradient Flow #41: What’s New in Data Engineering; MLOps Anti-Patterns”

Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI

Subscribe • Previous Issues “Discovering you were wrong is an update, not a failure, and your worldview is a living document meant to be revised.” – Julie Gaef Data Exchange podcast Storage Technologies for a Multi-cloud World  Brad King is the CTO of Scality, a company that builds software-defined file and object storage systems for hybrid &Continue reading “Gradient Flow #40: Data Augmentation in NLP, Temporal Knowledge Bases, Storage for AI”