O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones.

Marketing 362

Marketing Experimentation Metrics Testing 362

Insight

APRIL 10, 2020

Insight is a community of over 3,000 data scientists, data engineers, machine learning engineers, consensus, DevOps, and security engineers who have completed an Insight Fellows Program and are now members of our professional network. We’ll do this via an Income Share Agreement (ISA).

Uncertainty 74

Uncertainty Statistics Machine Learning Publishing 74

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. The show floor was buzzing with industry experts, networking and sharing valuable insights on the latest developments in the data space.

Data Warehouse 52

Data Warehouse Digital Transformation Data-driven Metadata 52

Smart Data Collective

JANUARY 14, 2022

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. billion by 2026. billion by 2026.

Big Data 105

Big Data Cost-Benefit Finance Data-driven 105

Data Science and Beyond

JULY 28, 2017

Ideally, I wanted a well-paid data science-y remote job with an established distributed tech company that offers a good life balance and makes products I care about. This post describes my application steps, which ultimately led to me becoming a data scientist with Automattic. Step 1: Do background research and apply.

Data Science 81

Data Science Testing Measurement Uncertainty 81

Insight

APRIL 6, 2020

During my grad school career I became excited about transitioning to data science, so I organized a group of like-minded grad students to work together and build some of the skills we knew would be relevant for us. As my friends wrapped up their degrees, many of them moved to Silicon Valley to join Insight as Data Science Fellows.

Data Science 60

Data Science Interactive Manufacturing Optimization 60

Sisense

JUNE 25, 2020

The right use of data changes everything. Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. Invest in data, invest in your company. Jon Francis, SVP Data Analytics, Starbucks.

Big Data 98

Big Data Data-driven IoT Marketing 98

IBM Big Data Hub

JULY 19, 2023

This digital data is coming at the industry in various formats, like unstructured text, images, PDFs and emails. Content creation : Personas, user stories, synthetic data, generating images, personalized UI, marketing copy, email and social responses and more.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

Data Science 101

NOVEMBER 13, 2023

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer.

B2B 59

B2B Modeling Deep Learning Dashboards 59

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. for beginning study in data science?

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Bindu Chandramohan, Lead, Data Analytics, Alation : Thanks, Jason! Let’s dive in.

Metrics 52

Metrics Dashboards Sales Reporting 52

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! Think of enrichment of graphs using public LLM services via relation extraction from text.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Quick summary: there’s a persnickety problem. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

JULY 24, 2019

Data has never been more readily accessible. A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance while generating actionable insights.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. Data veracity, data stewardship, and heros of data science.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69