Domino Data Science Blog

Data Science Trends, Tools, and Best Practices

Posts tagged with:   Data Science Leaders

Managing Data Science as a Capability

Nick Elprin, CEO at Domino, presented a 3-hour training workshop, “Managing Data Science in the Enterprise”, that provided practical insights and interactive breakouts....read more

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Become A Full Stack Data Science Company

Hoda Eydgahi is a Data Science Manager at Stitch Fix and a Scout for Sequoia Capital. Previously, Hoda was the first Data Scientist...read more

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Data Science Use Cases

In this post, Don Miner covers how to identify, evaluate, prioritize, and pick which data science problems to work on next. Don is...read more

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Advice for Aspiring Chief Data Scientists: The People You Need

Nick Kolegraff is the founder of Whiteboard, a strategic innovation company focused on machine learning and AI. Previously, Kolegraff was the Chief Data...read more

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Stakeholder-Driven Data Science at Warby Parker

Max Shron, the head of data science at Warby Parker, delivered a presentation on stakeholder-driven data science at a Data Science Popup. This blog...read more

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Advice for Aspiring Chief Data Scientists: The Problems You Solve

Nick Kolegraff is the founder of Whiteboard, a strategic innovation company focused on machine learning and AI. Previously, Kolegraff was the Chief Data...read more

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Advice for Aspiring Chief Data Scientists: The Mindset You Need to Have

Nick Kolegraff is the founder of Whiteboard, a strategic innovation company focused on machine learning and AI. Previously, Kolegraff was the Chief Data...read more

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What Your CIO Needs to Know about Data Science

What would you rather be doing? Data science or DevOps? As a data scientist, your CIO may hear from you that model deployment...read more

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Measuring Data Science Business Value

This blog post covers metrics that help data science leaders ensure their team’s work is aligned to business value. Data science managers and...read more

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New G3 Instances in AWS – Worth it for Machine Learning?

We benchmarked AWS’s new G3 instances for deep learning tasks and found they significantly outperform the older P2 instances. The new G3 instances...read more

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Quick Tips for Getting A Data Science Team Off the Ground

This blog post provides a video followed by concise tips for leaders at startups and early-stage companies to consider when getting a data...read more

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Data Science != Software Engineering

Domino’s guide, “What Engineering Leaders Need to Know About Data Science”, provides insights to help engineering leaders increase data science productivity and decrease...read more

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The Cost of Doing Data Science on Laptops

At the heart of the data science process are the resource intensive tasks of modeling and validation. During these tasks, data scientists will...read more

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Data Science on AWS: Benefits and Common Pitfalls

More than two years ago, we wrote about the misguided fear of the cloud among many enterprise companies. How quickly things change! Today,...read more

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Principles of Collaboration in Data Science

Data science is no longer a specialization of a single person or small group. It is now a key source of competitive advantage,...read more

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Deep Learning on GPUs without the Environment Setup

We have seen an explosion of interest among data scientists who want to use GPUs for training deep learning models. While the libraries...read more

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Our Customers Said it Best, as Domino Named a Visionary By Gartner

The team at Domino is proud to be named a visionary in Gartner’s Magic Quadrant for Data Science Platforms. It’s nice to get...read more

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Exploring the Limits of Parallelized Machine Learning

This week, Domino’s Chief Data Scientist, Eduardo Ariño de la Rubia, presented a webinar: Machine Learning at Scale with Amazon's X1 Instance. If...read more

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High-performance Computing with Amazon’s X1 Instance – Part II

When you have at your disposal 128 cores and 2TB of RAM, it’s hard not to experiment and attempt to find ways to...read more

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Data Science Platform: What is it? Why is it Important?

As more companies recognize the need for a data science platform, more vendors are claiming they have one. Increasingly, we see companies describing...read more

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Reflections on “buy vs build”

“Buy vs build”, “not-invented-here syndrome” and even “invented-here-syndrome” have been written about extensively. I want to share a few reflections on the topic,...read more

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Building an open product for power users

This post describes our engineering philosophy of building an “open” product, i.e., one that supports existing tools and libraries, rather than building our...read more

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Cloud Security: The right way to worry

Here’s a question we hear a lot: We’re not that comfortable with the cloud from a security perspective -- can you install Domino...read more

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