Alation

FEBRUARY 20, 2020

The energy at the conference was amazing – over 2,000 attendees and 100 vendors gathered to find our inner data heroes. And the Great BI Bake-Off is a perfect example: Four vendors (selected by their Gartner search popularity) took the stage in a live showdown of data viz expertise. Rita Sallam Introduces the Data Prep Rodeo.

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O'Reilly on Data

FEBRUARY 18, 2020

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Probably not, but only time will tell.

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Jen Stirrup

JUNE 20, 2020

In this post, I want to analyse the current PASS situation, explain some broader context, and give people a more data-driven view. I hope that this leads to a calmer discussion by providing additional information and data. I want to help by providing data and insights on the recent PASS row online. Current Ratio.

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Metrics Business Analytics Data-driven Statistics 104

Smart Data Collective

AUGUST 15, 2019

billion on Google AdWords in 2017 alone. A growing number of advertising networks are using historical data to predict the likelihood of a conversion from a given customer. He said that you can use AI to come up with higher quality visuals, create intelligent audience profiles and hold intelligent conversations.

Optimization 63

Optimization Strategy Advertising Machine Learning 63

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

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Depict Data Studio

SEPTEMBER 13, 2023

They make data-driven decisions. Grant Deliverables In this blog post , you’ll see how Josephine Engels did need to start from scratch — she was visualizing these metrics for her organization for the first time — and then made several dashboards to track grant deliverables. We make ’em quickly.

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datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future.

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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. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

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DataRobot Blog

MAY 25, 2022

In 2017, Hurricane Harvey struck the U.S. DataRobot combines these datasets and data types into one training dataset used to build models for predicting whether a building will be damaged in the hurricane. Contact a member of the DataRobot team to learn more and see how your organization can become AI-driven. Learn more.

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Risk Predictive Modeling Insurance Predictive Analytics 52

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

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Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

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Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Note that extended support for Oracle Discoverer ended in 2017. Interactive dashboards that provide reports with a rich variety of visualization tools.

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Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. 1998) and others).

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O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. The term “AI,” meanwhile, is No.

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Data Insight

SEPTEMBER 1, 2019

Data visualisation is the representation of information or data in a visual or graphical form. This tends to be in the form of a chart or graph, but data can also be represented in maps and infographics. In fact, 3M did some research and found that humans interpret visuals 60,000 times faster than text or data.

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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?

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The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Figure 4: Visualization of a central composite design. The data showed us that metrics are not exactly straight-line functions of parameters.

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datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

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CIO Business Intelligence

APRIL 12, 2022

trillion in 2021, according to financial market data provider Refinitiv. The acquisition will help it extract process data from enterprise systems such as Oracle, SAP, ServiceNow, and Salesforce to identify process bottlenecks that can be optimized or automated. NTT Data adds Vectorform to service portfolio.

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Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

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