Jen Stirrup

APRIL 2, 2019

Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). So, organizations need a cohesive strategy which aligns all methods of communication to ensure consistency (Porter, 2001). Real never goes out of fashion. It’s a balance.

Marketing 59

Marketing Advertising Data-driven Strategy 59

AWS Big Data

OCTOBER 11, 2023

We introduce you to Amazon Managed Service for Apache Flink Studio and get started querying streaming data interactively using Amazon Kinesis Data Streams. You can analyze streaming data interactively using managed Apache Zeppelin notebooks with Amazon Managed Service for Apache Flink Studio in near-real time.

Management 107

Management Metadata Analytics Dashboards 107

CIO Business Intelligence

JUNE 22, 2022

Huawei’s foray into the country began in 2001. Calls to bridge the digital divide have also become more urgent, especially to promote remote interactions and business activities, conducted through digital platforms and technologies. Huawei is fully committed to creating value for the communities and markets in which it operates.

Digital Transformation 111

Digital Transformation Manufacturing Testing Technology 111

AWS Big Data

AUGUST 28, 2023

Choose Create subscriber. A subscriber consumes logs and events from Amazon Security Lake. In this case, the subscriber is OpenSearch Ingestion, which consumes security data and ingests it into OpenSearch Service. For Subscriber name , enter OpenSearchIngestion. Enter a description. Choose Next. For Role Name , enter pipeline-role. Choose Create.

Dashboards 52

Dashboards Visualization Metadata Management 52

Domino Data Lab

JULY 22, 2019

Paco Nathan: Thank you, Jon [Rooney]. I really appreciate it. I am honored to be able to present here and thrilled to have been involved in Rev. There’s a balance. There’s a kind of tone that Rev really struck this year. It’s about the mix of talks and discussions. It’s about the attendees. Back to my talk. It was the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. for DG adoption in the enterprise. Process efficiency ( cost reduction ) is generally ?a

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” Here is how we think about the mindset and the toolset of data science at The New York Times. Because I’m an academic I like to look at the original founding documents. Please help us make sense of it.” ” I really love this paragraph.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 27, 2020

Algorithms tell stories about who people are. The first story an algorithm told about me was that my life was in danger. It was 7:53 pm on a clear Monday evening in September of 1981, at the Columbia Hospital for Women in Washington DC. I was exactly one minute old. You get two points for waving your arms and legs, for instance.)

Risk 355

Risk Testing Reporting Measurement 355

Domino Data Lab

AUGUST 8, 2019

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. In any case, there’s a simpler way to look at these concerns, then rethink hiring and training priorities for data science teams. But first, let’s backup and discuss: what is this Foo thing anyway? What’s a Foo?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JANUARY 6, 2019

In terms of teaching and learning data science, Project Jupyter is probably the biggest news over the past decade – even though Jupyter’s origins go back to 2001! Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. This is not a new gig, by any stretch.

Data Science 56

Data Science Machine Learning Reporting Visualization 56