Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

JANUARY 17, 2024

The digitization of internal processes came in 2011, when the company decided to streamline its internal data management, quality control, project management, and communication processes through digital tools and platforms. js and React.js.

Digital Transformation 118

Digital Transformation Dashboards Reporting Data Science 118

CIO Business Intelligence

JUNE 10, 2022

To further reduce that carbon footprint, these vendors are sourcing electricity from renewables and utilizing artificial intelligence (AI)/machine learning (ML)-based models to optimize power consumption. . This in turn can reduce a company’s carbon footprint by optimizing energy consumption. NaaS, Sustainability, and the Circular Economy.

Metrics 97

Metrics Optimization Machine Learning Sales 97

CIO Business Intelligence

JANUARY 8, 2024

But in this next cloud optimization phase, the airliner will focus on enhancing the security and performance of these workloads on the cloud, says Nair, who was hired by Cathay in 2011 as an application service manager, working his way up to his current position 10 years later.

Optimization 102

Optimization Digital Transformation Cost-Benefit Data Warehouse 102

CIO Business Intelligence

MARCH 10, 2022

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 128

Sales Testing Experimentation Data Processing 128

CIO Business Intelligence

JUNE 6, 2022

It’s the biggest change to the framework since 2011, when the company released TOGAF 9.1. There is also a series guide for reference models and methods, where you can find examples of various architecture models.

Digital Transformation 102

Digital Transformation Enterprise Modeling Technology 102

The Data Visualisation Catalogue

JANUARY 24, 2022

Also, the data used in this article focuses on the dynamic changes in the field of ‘scientometrics’ from 2011 to 2015. Bayesian Modelling of Alluvial Diagram Complexity (2021). Using an Alluvial Diagram provided the ability to track a field of interest and which cluster it belonged to over a time period.

Visualization 79

Visualization Reporting Modeling IT 79

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. The content of these data sets may introduce problematic bias into a model’s results.

Deep Learning 86

Deep Learning Cost-Benefit Risk Data-driven 86

CIO Business Intelligence

MARCH 1, 2023

Ever since we started the company back in 2011, when I was CIO, we’ve been using data to improve our operations. These are machine learning–based models that look at which trucks need to move where, what we are loading onto the trailers, and how many trailers the trucks should haul to maximize efficiency.

ROI 52

ROI Machine Learning Sales Technology 52

Smart Data Collective

SEPTEMBER 29, 2022

The platform has been around since 2011 and offers access to more than 250,000 apps that have been downloaded over 1 billion times. As with other app stores, it has its own revenue share model — developers can receive 70 percent of all revenue generated through in-app purchases or subscriptions (the remaining 30 percent goes to Amazon).

Technology 126

Technology Advertising Cost-Benefit Publishing 126

CIO Business Intelligence

MARCH 24, 2022

The CDO position dates to at least 2011 , when Russell Reynolds Associates began receiving calls looking for candidates. He wanted to lead digital transformation at the business by focusing on the operating model, everything to do with innovation, new product introduction (NPI), and fulfillment. Chief digital officer responsibilities.

Digital Transformation 89

Digital Transformation Strategy Technology Enterprise 89

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 61

Modeling Experimentation Knowledge Discovery Testing 61

Jedox

JUNE 24, 2021

In the marketing environment alone, the number of known marketing technology (MarTech) tools has grown from about 150 in 2011 to over 7000 in 2020. Integrating all sources of data allows easy modeling of KPIs and easily provide the needed information to stakeholders via the right channels at the right time.

Sales 94

Sales Marketing Optimization Metrics 94

CIO Business Intelligence

JANUARY 23, 2023

Through a long-standing partnership that started in 2011 with the company’s first CEO, Jeff Weiner, LinkedIn has long been working to open and diversify its talent pipeline. It became important to the organization that they model DEI from the top down, making it something they put into regular practice, rather than just lip-service.

Strategy 98

Strategy IT Reporting Data Processing 98

CIO Business Intelligence

MAY 30, 2022

It was released as a reference model for enterprise architecture, offering insight into DoD’s own technical infrastructure, including how it’s structured, maintained, and configured to align with specific requirements. was released in 2011 and the most recent version, TOGAF 10 was released in 2022. in November 2006.

Enterprise 102

Enterprise Software Digital Transformation ROI 102

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. This data model is also the structure of the contract that is defined between the producers and consumers of the data. Consumers subscribe to data products that are produced by the data producers.

Data Architecture 74

Data Architecture Metadata Data Warehouse Sales 74

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. So that’s one.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

DMBS2

MAY 20, 2018

In principle, I stand by my opinion from 2012: When consumers lose trust in algorithmic decision makers, it can be at least partially regained by a shift to translucent modeling. Already in 2011, denanonymization and other technologies of privacy threats were very effective. Related link.

Technology 52

Technology Modeling IT Analytics 52

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . We live in a hybrid data world. In fact, the total amount of data is expected to nearly triple by 2025.

IT 109

IT Data Architecture Unstructured Data Big Data 109

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . We live in a hybrid data world. In fact, the total amount of data is expected to nearly triple by 2025.

IT 85

IT Data Architecture Unstructured Data Big Data 85

AWS Big Data

MAY 4, 2023

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1

Data Processing 90

Data Processing Metadata Informatics Interactive 90

Smart Data Collective

APRIL 2, 2019

According to Forbes in 2011, the idea of the Data Lake was already gaining traction as companies started to consider the idea of moving their data from off-site repositories to cloud-accessible online storage , a reality that was further cemented by the cheap availability of cloud storage. The Thrust for Data Lake Creation.

Data Lake 83

Data Lake Big Data OLAP Testing 83

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Hurwitz & Associates

APRIL 19, 2018

One of Atos’s strongest partnerships is with Siemens, which is not surprising since Atos has acquired several of Siemens’ assets including, its IT solutions and services business in 2011, and Convergence Creators (cybersecurity and communications solutions) in 2017. Role as an industry platform.

IT 40

IT Consulting IoT Strategy 40

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. I've gone through the five stages in the Kubler-Ross model. Bonus: For more on next steps and attribution modeling please see: Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models. ]. want to protect user privacy.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

APRIL 8, 2013

Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Yet there they are.

Marketing 126

Marketing Measurement Metrics Testing 126

Occam's Razor

SEPTEMBER 13, 2016

Bonus #2: The Askers-Pukers Business Model. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Ok, maybe statistical modeling smells like an analytical skill. Bonus #2: The Askers-Pukers Business Model. Three thoughts that explain the Econsultancy/Lynchpin graph.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Edwin Chen

AUGUST 14, 2014

This is where propensity modeling, or other techniques of causal inference, comes into play. Propensity Modeling. So suppose we want to model the effect of drinking Soylent using a propensity model technique. Propensity modeling , then, is a simplification of this twin matching procedure. What do we do?

Modeling 75

Modeling Measurement Sales Testing 75

CIO Business Intelligence

NOVEMBER 7, 2022

Since that 2011 revelation, Arooni has been doing just that: redefining IT organizations and service delivery models to embrace agile ways of working, including creating product-centric structures with persistent teams responsible for the entire lifecycle of a product. Ema Patki, vice president of software engineering, Align.

IT 116

IT Technology Modeling Software 116

Occam's Razor

JUNE 4, 2018

Not easy, but your business model has to change to survive.). Checkout the Kimbao Sauvignon Blanc you can see sales and would buy it again rates since 2011. If you are still in that world—don’t worry, I still love you—know that a behavioral shift from an emphasis on cost to an emphasis on the benefit will make a huge difference.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

CIO Business Intelligence

DECEMBER 15, 2022

To illustrate, from 2011 to 2021, IVL collected over 72 billion post-consumer PET bottles for recycling, which prevented 1.6 And IVL is experimenting with recyclable plastics as part of a circular economy model. million tons of plastic waste from going to landfill and reduced 2.4

Risk 89

Risk Digital Transformation Software ROI 89

datapine

APRIL 15, 2020

The term “agile” was originally conceived in 2011 as a software development methodology. Business intelligence is moving away from the traditional engineering model: analysis, design, construction, testing, and implementation. In the traditional model communication between developers and business users is not a priority.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

IBM Big Data Hub

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

Internet of Things 70

Internet of Things Enterprise Technology IoT 70