CIO Business Intelligence

OCTOBER 21, 2022

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. Currently, Chipotle is exploiting a variety of cloud services that are part of the Microsoft Azure platform, such as its AI and ML modeling services.

Digital Transformation 145

Digital Transformation Data Lake Forecasting Technology 145

CIO Business Intelligence

JUNE 4, 2024

In 2015, Dr. Vince Kellen, then senior vice provost and CIO at University of Kentucky and now CIO for the University of California, San Diego, summarized the IT strategic planning environment during the decade 2010-2020 as attempting to prevent “over-investment in that which doesn’t work.” It’s time to focus on the human side of the future.

Technology 128

Technology Strategy Interactive Enterprise 128

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

CIO Business Intelligence

OCTOBER 11, 2022

Built on Amazon SageMaker , a service to build, train, and deploy ML models, AI Bench has accelerated the pace of innovation and reduced the barrier of entry for machine learning across AstraZeneca. . “We AI and machine learning are helping us optimize that process and reduce the time it takes. AstraZeneca. Artificial Intelligence

Machine Learning 145

Machine Learning Data Science Data-driven Testing 145

Smart Data Collective

MARCH 24, 2020

According to a 2015 whitepaper published in Science Direct , big data is one of the most disruptive technologies influencing the field of academia. Student Model Based on Big Data. Big Data Management Process Diagram in Education. Completion. Fixation of the identified problems in the final report. Used educational content.

Big Data 120

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 120

Smart Data Collective

JANUARY 11, 2021

A 2015 study by the market research company IDC, which surveyed almost 600 manufacturing enterprises from 17 countries, discovered more than 90% of global companies are using cloud computing in some part of their operations. Many manufacturers use pay-as-you-go models to enhance profitability. In turn, that will save you money.

Manufacturing 127

Manufacturing Internet of Things Cost-Benefit Big Data 127

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Introduction. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

Occam's Razor

MARCH 25, 2014

One good way to accomplish that is to ensure you have an optimal org design , and that your Digital Marketing and Measurement Model exemplifies this balance. The Optimal Digital Investment Strategy ]. For acquisition my goal was to pick two metrics that would incentivize our teams to behave in the most optimal manner.

Metrics 157

Metrics Marketing Strategy Key Performance Indicator 157

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. Tips and Tricks on Charts and Data Models. Actionable Visualization In Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. Tips and Tricks on Charts and Data Models. Actionable Visualization In Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Smart Data Collective

JULY 2, 2019

One of the greatest challenges facing modern society is turning the page on current energy models. Better distribution, cost savings, technical improvements and, above all, the optimization of resources are some of the spaces that are opened up thanks to new technologies. The energy sector is under review. ” Conclusion.

Data Analytics 96

Data Analytics Internet of Things Analytics Big Data 96

IBM Big Data Hub

NOVEMBER 13, 2023

In 2015, Google donated Kubernetes as a seed technology to the Cloud Native Computing Foundation (CNCF) (link resides outside ibm.com), the open-source, vendor-neutral hub of cloud-native computing. At IBM we are helping clients modernize their applications and optimize their IT infrastructure with Kubernetes and other cloud-native solutions.

Machine Learning 107

Machine Learning Data-driven Software Testing 107

AWS Big Data

FEBRUARY 1, 2023

Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. We’re very much focused on the commercialization of acquisitions, making sure we don’t break the deal models and that things are running as they should be,” says John Stevens, vice president of IT at Thermo Fisher. in 2016, and BD Advanced Bioprocessing in 2018.

IT 105

IT Data Lake Sales Machine Learning 105

AWS Big Data

OCTOBER 23, 2024

This approach isn’t optimal for a data-driven organization like Getir, which needs to empower its teams with seamless access to the information they require to drive the business forward. Near real-time analytics in addition to predictive models have become standard fare, significantly reducing the time to actionable insights.

Data Warehouse 97

Data Warehouse Cost-Benefit Data Lake Data-driven 97

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability. Companies like Endor understand the risks and develop data science models that account for them. Endor is a leading pioneer in data science.

Data Science 86

Data Science Big Data Data Strategy Risk 86

Rita Sallam

JULY 31, 2017

And yet organizations’ processes for preparing data for analysis, analyzing data, building advanced analytics models, interpreting results and telling stories with data remain largely manual and prone to bias. Data volumes are increasing and becoming more complex to optimize cross-functional digital business decisions.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

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. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. trillion in economic benefits by 2030.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

IBM Big Data Hub

FEBRUARY 2, 2024

What companies are doing : Companies are incorporating sustainable practices into their business models. Businesses may optimize logistics by revaluating supply chain practices ; for example, by making transportation and shipping more efficient or using only suppliers that embrace sustainable practices.

Optimization 85

Optimization Cost-Benefit Strategy Reporting 85

Sisense

MARCH 18, 2019

My involvement with Sisense started in mid-2015. As part of our continuing tech investments, CTSI-Global decided to incorporate modern BI technology to help shippers perform advanced forecasting and modeling through elegant and robust visualizations on top of the centralized shipping data we aggregate. Automation and Integration.

Analytics 71

Analytics Dashboards Metrics Visualization 71

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. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

Data Lake 116

Data Lake Visualization Optimization Interactive 116

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

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

DataRobot

JANUARY 25, 2022

While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid. They must battle the status quo, of legacy models that work “just fine,” and the everyday issues surrounding the scale of predictions requirements. Trillion Inventory Distortion Problem , Greg Buzek, 2015).

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

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

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.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

Occam's Razor

MARCH 30, 2017

Most Deep Learning methods involve artificial neural networks, modeling how our bran works. There are some who believe that anything modeled on the human brain, like Deep Learning, will be limited in it’s intelligence, that it will inherit the limits and flaws that our intelligence possesses. Yes, a silo but so much better than 2015.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

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., We now turn our attention to the problem of finding the optimal hyperplane.

Optimization 76

Optimization Machine Learning Data Science Measurement 76

AWS Big Data

JULY 28, 2023

Athena also updated its data connectors with optimizations that improve performance and reduce cost when querying federated data sources. The updated connectors use dynamic filtering and an expanded set of predicate pushdown optimizations to perform more operations in the underlying data source rather than in Athena.

Big Data 88

Big Data Data Architecture Data Lake Interactive 88

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. As the crisis evolved.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

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

Occam's Razor

OCTOBER 12, 2017

Optimal Starting SCOTUS Starting Points. There is one other video I want you to watch, from the 2015 edition. Now, because of that beautiful knowledge, take ownership of the entire process of identifying the optimal creative assets required for any great Marketing campaign. Raich and the use of the Commerce Clause.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

IBM Big Data Hub

DECEMBER 20, 2023

. ” Since its inception, the company has underscored initiatives like its co-op membership model and sustainability commitments as a way to distinguish itself from competitors catering to more general audiences. But not all successful businesses strategies will conform precisely to the four generic models outlined above.

Strategy 69

Strategy Advertising Key Performance Indicator Consulting 69

The Unofficial Google Data Science Blog

JULY 22, 2020

In practice, one may want to use more complex models to make these estimates. For example, one may want to use a model that can pool the epoch estimates with each other via hierarchical modeling (a.k.a. These MAB algorithms are great at maximizing reward when the models are perfectly specified and probabilities are accurate.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Sisense

FEBRUARY 24, 2021

But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015. Challenge: CDOs are looking for an analytics solution that is flexible enough for the highly technical modeling that data analysts and engineers need while also being accessible for the business analyst.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69