CIO Business Intelligence

OCTOBER 4, 2023

We grew hand in hand with eBay and have continued to do so after separating in 2015.” This also allows us to have the best in terms of global technology, fraud mitigation and prevention, and cybersecurity measures in all markets, all while complying with local regulations and compliance requirements.”

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

CIO Business Intelligence

DECEMBER 9, 2022

Telecom titan AT&T is one such enterprise, having began RPA trials in 2015 to reduce repetitive tasks for its service delivery group, which had a large volume of circuits to add at the time, as well as various services in play for provisioning networks, says Mark Austin, vice president of data science at AT&T.

Data Science 126

Data Science Sales Measurement Interactive 126

CIO Business Intelligence

NOVEMBER 15, 2023

By 2015, the technical executives of at least one conglomerate, Intel, had figured they could enrich the firm’s perception of IT by showcasing how essentially that function contributes to business value. Second, it should articulate IT’s vision and its plan to achieve it while still creating measurable value in the present.

Publishing 124

Publishing Reporting IT Finance 124

IBM Big Data Hub

FEBRUARY 8, 2024

The World Bank recently launched an initiative, in collaboration with NASA and the European Space Agency, to collect and organize satellite-based measurements of concentrations of greenhouse gases in the atmosphere. Tackling global climate change and tracking greenhouse gas emissions has become an all-hands-on-deck endeavor. degrees Celsius.

Measurement 93

Measurement Reporting Modeling Technology 93

CIO Business Intelligence

OCTOBER 15, 2024

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.

Enterprise 143

Enterprise Testing Business Objectives Experimentation 143

datapine

MARCH 31, 2022

The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. This beats projections for almost all other occupations.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

SEPTEMBER 6, 2022

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. It’ being everything from how they collect and measure data, to how they understand it and their own glossary. It was very fragmented, and I brought it together into a hub-and-spoke model.”.

IT 98

IT Forecasting Data Lake Data Warehouse 98

Cloudera

NOVEMBER 15, 2021

For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It facilitates AI because, to be useful, many AI models require large amounts of data for training. And data moves around.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. Companies like Endor understand the risks and develop data science models that account for them. Their data science model provides business predictions at a fraction of the cost of other platforms.

Data Science 87

Data Science Big Data Data Strategy Risk 87

Insight

AUGUST 29, 2019

Insight Boston began its journey in 2015, with the first and only fellowship program dedicated to a career in Health Data Science. Jerry Chen was a Health Data Fellow in 2017 and joined Wayfair as a Senior Data Scientist on their Marketing team; he now manages the Data Science Measurement team.

Data Science 56

Data Science Machine Learning Sales Measurement 56

CIO Business Intelligence

JULY 6, 2023

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. GPT-4 (Generative Pre-trained Transformer 4) is a multimodal large language model created by OpenAI, an AI research laboratory. Track, measure, and reuse.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

The Unofficial Google Data Science Blog

JULY 22, 2020

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. Ramp-up solution: measure epoch and condition on its effect If one wants to do full traffic ramp-up and use data from all epochs, they must use an adjusted estimator to get an unbiased estimate of the average reward in each arm.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Jet Global

FEBRUARY 8, 2023

Founded in 2015, Power ON develops software solutions that extend the features of Power BI , leveraging the benefits of being closely integrated and committed to the Microsoft ecosystem.

Finance 59

Finance Data Collection Forecasting Software 59

IBM Big Data Hub

FEBRUARY 7, 2024

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

Insight

JUNE 10, 2019

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Transfer learning applied to ResNet50 CNN Training results The final accuracy of the model, when tested on a subset of the training data, was 97%.

Breakeven 69

Breakeven Modeling Testing Marketing 69

Cloudera

OCTOBER 17, 2023

Flink was launched in 2015 as the world’s first open source streaming-first distributed stream processing engine and has since grown to rival Spark in terms of popularity. Cloudera perspective: Cloudera began providing support and building tooling for the Kafka ecosystem in 2015 and has developed stable enterprise solutions.

Data-driven 79

Data-driven Enterprise IoT Data Warehouse 79

IBM Big Data Hub

FEBRUARY 2, 2024

What companies are doing : Companies are incorporating sustainable practices into their business models. They’re implementing measures to reduce energy usage and adopting renewable energy alternatives where possible to aid efforts against global warming.

Optimization 85

Optimization Cost-Benefit Strategy Reporting 85

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. This is a simplified model where we don’t need to use AWS Lake Formation data sharing. About the Authors Pathik Shah is a Sr.

Data Lake 115

Data Lake Visualization Optimization Interactive 115

Ontotext

FEBRUARY 2, 2021

Attempts to manipulate share prices by using social media to spread false or misleading information about stocks lead to the SEC’s Investor Alert of 2015, warning institutional investors about the possible impact of social media. However, it is difficult to map the r/WallStreetBets events to the classic financial fraud models.

Marketing 59

Marketing Measurement Cost-Benefit Risk 59

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., The use of multiple measurements in taxonomic problems. References.

Optimization 76

Optimization Machine Learning Data Science Measurement 76

DataRobot Blog

DECEMBER 7, 2019

Using the DataRobot’s automated machine learning platform and data from numerous sources ranging from MLB payrolls, to free agent signings, to historical player performance, we built an array of AI models to tell us specific details about how this free agent market would play out, showing contract values, terms, and destinations for every player.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Andrew White

JANUARY 9, 2022

A data fabric has the same model but it adds a set of capabilities that continuously monitor the whole landscape, and continuously update the intelligent part that infers insight as new data is discovered and/or added. First, how we measure emissions and carbon footprint is about data design and policy.

Analytics 64

Analytics Measurement Data-driven Modeling 64

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. It advances the scalability of ML in real-world applications by using algorithms to improve model performance and reproducibility.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Occam's Razor

OCTOBER 12, 2017

Ask them what they worry about, ask them what they are solving for, ask them how they measure success, ask them what are two things on the horizon that they are excited about. There is one other video I want you to watch, from the 2015 edition. So on and so forth. If you can only watch one… 1. Science or Fiction?

Marketing 138

Marketing Analytics Machine Learning Strategy 138

CIO Business Intelligence

MAY 17, 2022

The company is on a mission to revolutionize the banking industry through technology and data and serves as a model for harnessing the power of data for growth. . Around 2015, Capital One went to AWS re:Invent and set forth our aspirational goal to modernize our entire technology infrastructure. It’s always available.

ROI 52

ROI Risk Marketing Modeling 52

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 43

Advertising Testing Sales Statistics 43

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. But most common machine learning methods don’t give posteriors, and many don’t have explicit probability models. In our model, $theta$ doesn’t depend directly on $x$ — all the information in $x$ is captured in $t$.

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem.

Statistics 45

Statistics Optimization Modeling Experimentation 45

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Jet Global

JANUARY 20, 2021

In July of 2015, over nine years after its initial launch, New Horizons completed its successful fly-by exploration of Pluto. Under an FP&A model, finance teams would evaluate the impact of such changes from a predominantly financial perspective. Instead, they planned for periodic adjustments to correct the spacecraft’s course.

Finance 52

Finance Metrics Key Performance Indicator Reporting 52

Occam's Razor

JULY 22, 2013

Most of the frameworks we have also don't optimally capture the complexity of digital marketing and measurement. We (oh how I hate this) apply irrational and "narrow-view" measurement strategies toward understanding what is successful and what's not. The See – Think – Do Framework: Measurement Strategy.

Measurement 164

Measurement Marketing Key Performance Indicator Metrics 164

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. Our mental model has not shifted enough to the existing reality. This blog is about the joys of measurement and the transformative power of data.

Marketing 142

Marketing B2B Measurement Risk 142

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Remember my stress earlier on measuring micro-outcomes?).

Metrics 143

Metrics Reporting Analytics Marketing 143

O'Reilly on Data

DECEMBER 9, 2019

Recall from my previous blog post that all financial models are at the mercy of the Trinity of Errors , namely: errors in model specifications, errors in model parameter estimates, and errors resulting from the failure of a model to adapt to structural changes in its environment. For example, if a stock has a beta of 1.4

Statistics 31

Statistics Uncertainty Risk Marketing 31