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

Situation analysis involves diagnostically fleshing out the psycho-social-economic reality of the present — how we think, how we live, how we interact, how we work. I recently told an audience of around 350 analytic professionals that their future was a function of how they think (mental models) and what they did (their actions).

Technology 128

Technology Strategy Interactive Enterprise 128

The Data Visualisation Catalogue

DECEMBER 13, 2021

A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention. A Model of Perceptual Task Effort for Bar Charts and its Role in Recognizing Intention. User Modeling and User-Adapted Interaction , 16(1), 1–30. Harrison, L., & Kosara, R. Eurographics Conference on Visualization (EuroVis) , 34.

Visualization 121

Visualization Experimentation Publishing Interactive 121

Ms SQL Girl

FEBRUARY 3, 2015

27 Mar 2015 8:30 AM – 5:00 PM. Early bird (until 13 Feb 2015) $265.00. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Register at [link].

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

27 Mar 2015 8:30 AM – 5:00 PM. Early bird (until 13 Feb 2015) $265.00. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Register at [link].

Dashboards 40

Dashboards KPI Interactive Publishing 40

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

CIO Business Intelligence

DECEMBER 1, 2023

We did a major pivot because this was a game changer in terms of its interactive abilities, as well as the comprehensiveness of its answers and its data generation capabilities. We’ll take the optimal model to answer the question that the customer asks.” We were all-hands-on-deck,” Reihl says. “We But the foray isn’t entirely new.

Cost-Benefit 128

Cost-Benefit Digital Transformation Machine Learning Deep Learning 128

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. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Register at [link].

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. Creating Interactive Visualisation for Actionable Analytics. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Register at [link].

Dashboards 40

Dashboards Visualization KPI Interactive 40

CIO Business Intelligence

OCTOBER 4, 2023

We grew hand in hand with eBay and have continued to do so after separating in 2015.” The fourth is called the merchant, consumer, and developer experience layer, which includes the web interface, mobile applications, and APIs that allow customers to use PayPal’s service interactively and programmatically.

Digital Transformation 132

Digital Transformation Deep Learning Data Lake Risk 132

CIO Business Intelligence

AUGUST 12, 2022

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. With more than 10 million transactions and interactions per year across order entry, sales, and customer service, the company found those processes could not scale to meet the demand and deliver the experience its customers needed. in 2016, and BD Advanced Bioprocessing in 2018.

IT 105

IT Data Lake Sales Machine Learning 105

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

Cloudera

NOVEMBER 18, 2020

As digital interactions increase and new payment models emerge, so too will new varieties of crime. Machine Learning techniques used in simulation models can prepare a financial institution for potential fraud and significantly improve existing financial crime detection systems. 3- Get a little Help from your Friends.

Data Strategy 105

Data Strategy Strategy Machine Learning Risk 105

CIO Business Intelligence

SEPTEMBER 19, 2023

AT&T is another company that has made use of process automation since 2015 to alleviate extensive manual data entry tasks, which has since evolved to streamline several processes across the organization.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. For details, see their SIGMOD 2015 paper where Michael Armbrust & co. Model-Driven Data Queries.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

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. get_data(). ?corpus

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

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. It will transform how users interact with data, and how they consume and act on insights.

Marketing 72

Marketing Analytics Machine Learning Data Science 72

AWS Big Data

JULY 26, 2023

Data scientists tend to run queries interactively and retrieve results immediately to author data integration jobs. This interactive experience can accelerate building data integration pipelines. Amazon CodeWhisperer is an AI coding companion that uses foundational models under the hood to improve developer productivity.

Data Integration 90

Data Integration Interactive Machine Learning Big Data 90

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

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

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. With support in Athena for Apache Spark, you can use both Spark SQL and PySpark in a single notebook to generate application insights or build models.

Data Lake 116

Data Lake Visualization Optimization Interactive 116

AWS Big Data

JULY 28, 2023

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting.

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

CIO Business Intelligence

SEPTEMBER 5, 2022

Hilton Currie: Up until 2015, we were 100% on-premises and we had no major issues. Suddenly, the commercial model fell to pieces. One of the aspects that’s lacking in many CIOs is the interaction with the business. CIO.com: What motivated Murray & Roberts to embark on its original cloud journey?

Data Processing 98

Data Processing Digital Transformation Finance Consulting 98

DMBS2

DECEMBER 12, 2017

Most of my comments about artificial intelligence in December, 2015 still hold true. Predictive modeling is a huge deal in customer-relationship apps. Voice interaction is already revolutionary in certain niches (e.g. They have access to lots of data for model training. smartphones — Siri et al.).

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

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

IBM Big Data Hub

MARCH 29, 2024

As the conduits through which software components interact and data flows across the internet, APIs are the lifeblood of contemporary web services. GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015.

Interactive 73

Interactive Digital Transformation Management Optimization 73

Smart Data Collective

MARCH 22, 2019

As a comparison, the 2015 expenditure of robotics was only $71 bn. The RaaS model has recently become a common occurrence in the agro sector. Similar technologies are now used to perform tedious tasks, interact with patients, check on their health status and suggest appointment in the future.

Manufacturing 61

Manufacturing Cost-Benefit Enterprise Technology 61

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. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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. How did you cope with this change?

ROI 52

ROI Risk Marketing Modeling 52

Insight

AUGUST 17, 2020

The Remote Experience While this was the first session for Insight in which all Fellows participated remotely, we’ve been offering a remote data science program since 2015. Bauer is also an alum of the 2015 Insight Data Science Fellowship Program. He is also a co-founder and co-organizer of hackNY. and sometimes difficult?—?topics

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Mark Raskino

FEBRUARY 25, 2019

For a while – maybe up to about 2015, I think most CIOs accepted the situation, shrugged their shoulders and carried on. The systems of record couldn’t cope with the changes the market facing interactive channels were bringing. The keyword “Digital” got the attention, the power and the budget. But it’s all digital now.

IT 49

IT Marketing Technology Interactive 49

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. Importantly, modern BI platforms are not just being used for self-service.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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

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., 1999) and more. References. Barghout, L. Pedrycz & S.-M.

Optimization 76

Optimization Machine Learning Data Science Measurement 76

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. Athena for SQL queries Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. In his spare time, he enjoys hiking.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

MARCH 22, 2022

He co-founded Room on Call (now Hotelopedia) in 2015, where he set up the complete technology infrastructure, development, product management, and operations. At Reliance Entertainment, he designed the first private cloud Infrastructure-as-a-service model and hybrid cloud, driving the digital business profitability.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98