DataRobot Blog

APRIL 7, 2022

F1 is headed Down Under next week for the first time since 2019. The Data Race. Rule changes have upended data collection for F1 teams, leaving them all in the same spot with minimal historical data and many questions to be answered. With such a wealth of data collected, how do you find the signal in the noise?

Strategy 105

Strategy Data Collection Consulting Modeling 105

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 333

Management Machine Learning Experimentation Metrics 333

Data Science and Beyond

APRIL 5, 2021

The world has adapted quickly, though it seems like Automattic’s globally-distributed model is still quite unusual. Instead, many companies have switched to a locally-remote model, hiring remotely within the same country or timezone region. Only time will tell. Sustainability.

Experimentation 61

Experimentation Testing Publishing Measurement 61

BizAcuity

JANUARY 21, 2019

The casino industry itself is touted to hit the 130 billion yield mark in 2019 according to reports.1 Leveraging upon the data collected by casinos from their various data touch points, the casino operators can create an elaborate profile for each customer. The promotional offers that have or will work the best.

Recreation/Entertainment 75

Recreation/Entertainment Data Collection Modeling Technology 75

Cloudera

SEPTEMBER 3, 2020

Data allows us to address critical issues and work toward solutions. The Data for Good category celebrates those who have done just that. . In the coming years, data will only become more prominent as a tool toward solving the world’s major issues. They represented a wide range of use cases across different thematic areas.

Data-driven 101

Data-driven Forecasting Consulting Software 101

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. With an AI-powered credit scoring and risk model, they were able to more accurately determine which loans to approve. million teenagers and adults misused opioid drugs in 2019. million in new loans. According to the U.S.

Data Lake 66

Data Lake Risk Machine Learning Data Collection 66

Smart Data Collective

JUNE 15, 2022

One of the secrets to attracting and retaining customers is to become more data-centric. trillion in 2019? According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. Location Data is Helping Retailers Improve their Competitive Edge.

Advertising 97

Advertising Cost-Benefit ROI Sales 97

CIO Business Intelligence

MAY 17, 2022

In a 2019 survey by Emerj , an AI research and advisory company, 14% of AI researchers said that AI was an “existential threat” to humanity. Another option is to gather better training data to improve the algorithms so that the recommendations are more precise. The hospital did this by investing more in data collection, Taglieti says.

Risk 144

Risk Consulting Machine Learning Data Science 144

O'Reilly on Data

MARCH 18, 2020

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

Enterprise 310

Enterprise Deep Learning Data Governance Risk 310

Occam's Razor

APRIL 15, 2019

If you are in the data business – my bread, butter and tofu – you often carry the burden of being the bearer of bad news. During 2019, our Net Promotion Score has dropped 15 points. Sadly still, negative data to the person/team receiving it. In 2019, we can measure the crap out of so much. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Ontotext

APRIL 4, 2019

On March 19, 2019, Economy.bg Milena Yankova : We help the BBC and the Financial Times to model the knowledge available in various documents so they can manage it. This is extremely powerful, so literacy in data collection and data processing will be one of the crucial skills of the future. Source: Economy.bg.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

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. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 77

Data Governance Strategy Enterprise Machine Learning 77

erwin

MARCH 4, 2021

So companies will be forced to classify their data and to find mechanisms to share it with such platforms.”. GDPR is also proving to be the de facto model for data privacy across the United States. Virginia residents also would be able to opt out of data collection.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Rita Sallam

AUGUST 28, 2022

Last week, we ran the Analytics and BI Bake-off at the Data and Analytics Summit in Orlando with 5,500 of our closest D&A friends! These were our first in-person Data & Analytics Summits since 2019. Afghanistan has gone from 7% of the rural population having good access to electricity in 2005 to 97% in 2019.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

O'Reilly on Data

JULY 20, 2021

When we’re building shared devices with a user model, that model quickly runs into limitations. That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. In 2019, YouTube had to settle with the FTC for a $170 million fine for selling ads targeting children.

Risk 303

Risk Software Interactive Modeling 303

Sisense

JULY 6, 2020

In today’s day and age, data can be found just about anywhere. The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. Who builds their models?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

FineReport

FEBRUARY 5, 2020

Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices. However, please pay more attention to the security of mobile terminals, and mobile BI must ensure the security of corporate data.

Metadata 98

Metadata Dashboards Informatics Visualization 98

FineReport

APRIL 20, 2020

Besides, in many cases, the data is not entirely grouped, but in the form of fixed columns or segments. All data is divided into strip-shaped models in Crystal Report. Crystal Reports uses a particular cross-tab model to create cross-reports. The single-table model of Crystal Reports cannot support sharding.

Reporting 84

Reporting OLAP Dashboards Data mining 84

FineReport

FEBRUARY 23, 2020

There are two types of databases used in the company or organizations: relational databases and NoSQL data sources. . The relational database is built on the relational model. It deals with the data in the database using set algebra and other mathematical methods. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel.

Reporting 98

Reporting Prescriptive Analytics Visualization Data Warehouse 98

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. For example, one of the questions which has provided a guide throughout our planning stages is: “ What can data science teams learn from each other? ethics in AI.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. This is essential to delivering data-driven insights.

Data Governance 89

Data Governance Metadata Data-driven Enterprise 89

Alation

FEBRUARY 8, 2022

Data mesh inverts the common model of having a centralized team (such as a data engineering team), who manage and transform data for wider consumption. In contrast to this common, centralized approach, a data mesh architecture calls for responsibilities to be distributed to the people closest to the data.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. AI CA 2019 highlights.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Jet Global

MARCH 13, 2019

As data stores scale and business need for advanced analytics and modeling get more desperate, only business intelligence software is uniquely situated to assist businesses with both the data warehousing and analytics needs required to respond to situations or market changes that can sometimes occur faster than they can react.

Business Intelligence 85

Business Intelligence Data Science Software Enterprise 85

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 1, 2023

These licensing terms are critical: Perpetual license vs subscription: Subscription is a pay-as-you-go model that provides flexibility as you evaluate a vendor. Pricing model: The pricing scale is dependent on several factors. Let’s just give our customers access to the data. Perpetual, by contrast, is paid up front.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52