CIO Business Intelligence

NOVEMBER 15, 2023

In 2014, I interviewed Gerri Martin-Flickinger, then CIO of Adobe, on this topic. So we recognize we need to support two business models: the traditional subscription-based model and an emerging consumption-based model. The IT team’s role in this business model transformation is significant. I get all that.

Software 133

Software Sales Marketing Modeling 133

Smart Data Collective

MARCH 23, 2020

In 2014, there were about 1.82 They can even create models that predict what users will do after an update or a patch is released. What is more important, these models reduce the necessity of finding focus groups to test new things – the results can be foreseen through a simulation based on users’ data. billion in 2021.

Big Data 130

Big Data Recreation/Entertainment Data mining Optimization 130

Smart Data Collective

JULY 28, 2022

There are a number of factors that can contribute to sudden changes in Bitcoin’s price that machine learning developers need to incorporate into their pricing models. Vankhede isn’t the only one that has developed predictive analytics models to predict bitcoin prices.

Predictive Analytics 145

Predictive Analytics Analytics Forecasting Machine Learning 145

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

JULY 13, 2022

One need only look at the infamous Target breach of 2014 , which exposed the data of nearly 110 million individuals due to a backdoor that a contractor inadvertently created, to realize that an organization is only as secure as the weakest link in its supply chain.

Risk 106

Risk Interactive Modeling Management 106

CIO Business Intelligence

MAY 26, 2022

The pricing strategy is similar to the game plan Amplitude used against analytics rival MixPanel back in 2014. The company had offered a freemium model in contrast to MixPanel’s paid service, helping it not only rake up customers but also attract new investors. .

Advertising 104

Advertising Forecasting Data Quality Marketing 104

Smart Data Collective

FEBRUARY 23, 2022

Many companies are going to have to revamp their entire business models in order to deal with the new technological changes brought on by advances in the IoT. We have many examples of companies that refuse to previous changes in the market and eventually collapse because of their persistent attachment to an old-fashioned business model.

IoT 128

IoT Internet of Things Data-driven Uncertainty 128

Smart Data Collective

MARCH 28, 2022

The portion of companies with data-driven decision-making models increased from 14% to 34% between 2014 and 2021, as more companies recognize its importance. Smart companies realize that data mining serves many important purposes that cannot be overlooked.

Data mining 116

Data mining Customer Analytics Marketing Advertising 116

datapine

JANUARY 31, 2022

To do so, the company started by defining the goals, and finding a way to translate employees’ behavior and experience into data, so as to model against actual outcomes. They used the data collected to build a logistic-regression and unsupervised learning models, so as to determine the potential relationship between drivers and outcomes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

APRIL 30, 2021

Aura CEO Hari Ravichandran wrote that, “In 2014, my own credit information was stolen online. Operational security tools have been slower to adopt these principles and integrating big data into their models. In fact, these technologies were applied in financial analysis before they were widely adopted in the OPSEC world.

Data-driven 116

Data-driven Big Data Dashboards Software 116

CIO Business Intelligence

OCTOBER 6, 2022

One of the world’s most well-known and successful companies, Microsoft, switched its culture to a growth mindset when CEO Satya Nadella took over in 2014. Sixty-nine percent of organizations used top leaders to communicate, teach, and role model growth mindset throughout the company. Teamwork was being replaced by internal politics.

Risk 105

Risk Reporting Software Modeling 105

O'Reilly on Data

APRIL 25, 2019

Stablecoins aren’t a new revelation in the cryptocurrency space, as attempts at their implementations have been in motion since 2014. The first implementation of a reserved back stablecoin came in late 2014 from Tether, which was initially built on Bitcoin through the Omni layer. Stablecoin history.

Cost-Benefit 154

Cost-Benefit Risk Marketing Finance 154

CIO Business Intelligence

OCTOBER 6, 2022

Andre Durand will be joined by someone who also knows something about identity from a different perspective: Adam Goodes, 2014 Australian of the Year and AFL legend. Adam Goodes is an advocate for Indigenous Australians, a symbol of resilience and optimism, and an inspirational role model who works to create a better Australia for all.

Risk 98

Risk Optimization Enterprise Modeling 98

CIO Business Intelligence

NOVEMBER 4, 2022

billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. We’ll work with those scientists and actually build the computer models and go run it, and it can be anything from sub-physical particle imaging to protein folding,” he says. “In It is all about the data.

Data Lake 125

Data Lake IT Experimentation Data-driven 125

Domino Data Lab

NOVEMBER 24, 2019

Second, we aren’t merely using k8s to install our platform services — we went deep: we rebuilt our whole compute grid to leverage k8s to distribute data science workloads, including model training jobs, interactive notebook sessions, hosting apps and deploying production models.

Data Science 68

Data Science Data Processing Interactive Modeling 68

CIO Business Intelligence

SEPTEMBER 12, 2023

The NIS2 requirement to adopt Zero Trust principles reflects the shortcomings of models based on implicit trust. Zero Trust network security offers cybersecurity benefits vs. traditional perimeter-based network security models. Here are some resources that can help you gain a better understanding of Zero Trust Security principles.

IoT 97

IoT Measurement Manufacturing Finance 97

Jedox

OCTOBER 8, 2020

It also underscored the importance of creating data-driven modeling capabilities, and developing the people, processes, mindset and technology to create a true culture of analytics within our organizations. The oil collapse of 2014 is another example of the importance of scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Smart Data Collective

JULY 2, 2019

One of the greatest challenges facing modern society is turning the page on current energy models. The advocates of the “green” model are relying on climate change and increased competition from the renewable market to find new ways to increase production capacity and efficiency. The energy sector is under review.

Data Analytics 96

Data Analytics Internet of Things Analytics Big Data 96

Smart Data Collective

DECEMBER 13, 2022

A 2014 study published in The Journal of Medical Practice Management discussed some of the benefits of using cloud technology to make things easier for patients. Therefore, companies are going to need to find creative ways to incorporate cloud technology into their patient engagement models.

Technology 126

Technology Measurement Management IT 126

The Data Visualisation Catalogue

JANUARY 24, 2022

Mapping the evolution of hierarchical and regional tendencies in the world city network, 2000-2010 (2014). Bayesian Modelling of Alluvial Diagram Complexity (2021). This is the first piece of research that empirically assesses, quantifies, and models the complexity of Alluvial Diagrams to aid in improving their effectiveness.

Visualization 84

Visualization Reporting Modeling IT 84

IBM Big Data Hub

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 107

Machine Learning Data-driven Software Testing 107

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 66

Forecasting Statistics Modeling Software 66

Domino Data Lab

OCTOBER 7, 2020

Statistics developed in the last century are based on probability models (distributions). This model for data analytics has proven highly successful in basic biomedical research and clinical trials. The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

Smart Data Collective

SEPTEMBER 25, 2019

Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. You can then start to implement more complex analysis such as predictive modeling and continue to move your way up through the ranks. Big data has been billed as being the future of business for quite some time. However, the future is now.

Big Data 101

Big Data Data Science Predictive Modeling Marketing 101

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. Simply use SQL statements to create and train SageMaker ML models using your Redshift data and then use these models to make predictions.

Forecasting 97

Forecasting Data Warehouse Machine Learning Modeling 97

Smart Data Collective

JULY 25, 2019

In 2014, Cloudera and Hortonworks had much-hyped IPOs. The merger should allow the companies to blend their talents and business models and figure out how to stay profitable in this age of big data AI. But, in January 2019, Hortonworks closed an all-stock, $5.2 billion merger with Cloudera.

Big Data 107

Big Data Insurance Risk Cost-Benefit 107

AWS Big Data

JULY 25, 2023

OpenSearch Serverless overview and tenancy model options OpenSearch Service managed domains provided a stable foundation for Alcion’s search functionality, but the team needed to manually provision resources to the domains for their peak workload. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 91

Cost-Benefit Modeling Management Optimization 91

Smart Data Collective

MAY 17, 2021

For instance, Facebook’s decision to buy WhatsApp in 2014 was based on data collected via the Onavo VPN. Companies like Google and Facebook, on the other hand, implement a business model that’s based on collecting and processing data from its users. And so do its competitors. .

Cost-Benefit 104

Cost-Benefit Advertising Data Collection Data-driven 104

CIO Business Intelligence

MAY 1, 2024

ChatGPT e le hallucination sui casi giudiziari I progressi compiuti nel 2023 dai large language models (LLM) hanno suscitato un interesse diffuso per il potenziale di trasformazione dell’IA generativa in quasi tutti i settori. Nel 2014, la società ha iniziato a lavorare su un software di recruitment alimentato dall’intelligenza artificiale.

Software 106

Software Deep Learning Machine Learning Modeling 106

IBM Big Data Hub

FEBRUARY 8, 2024

3 Building on Tyndall’s findings, in 1896 Swedish physicist Svante Arrhenius developed a climate model showing how different concentrations of atmospheric carbon dioxide could impact global temperatures. The panel noted that since its fifth assessment report, issued in 2014, policies and laws on climate change mitigation have expanded.

Measurement 93

Measurement Reporting Modeling Technology 93

CIO Business Intelligence

MAY 18, 2023

By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions. The first of which, The Goal: A Process of Ongoing Improvement (North River Press, 2014) by Eliyahu M. They have each helped me at various points in my professional life.”

IT 131

IT Recreation/Entertainment Software Technology 131

CDW Research Hub

MARCH 19, 2020

As witnessed with the Ebola outbreak in 2014 and other events that have impacted patient health on a large scale, we anticipate these mobile clinics will result in healthcare organizations’ reconsideration of strategy as it relates to IT resource reallocation, as well as the shifting of capital and operational funding.

IT 52

IT Testing Risk Strategy 52

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. We need people who can test.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Insight

APRIL 8, 2020

Since 2014, Insight been successfully running a fully distributed and fully remote interviewing process that has helped us sift through thousands of applications and identify top-tier candidates who have joined our Fellowship programs and gone on to work as data engineers at Netflix, Facebook, Vanguard, Apple, Bosch, and others.

Data Warehouse 96

Data Warehouse Cost-Benefit Software Optimization 96

Sisense

JANUARY 14, 2021

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ He works on reporting, analysis, and data modeling. Or even worse, one of the dashboard users would notice it first.”.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Cloudera

AUGUST 22, 2024

Established in 2014, this center has become a cornerstone of Cloudera’s global strategy, playing a pivotal role in driving the company’s three growth pillars: accelerating enterprise AI, delivering a truly hybrid platform, and enabling modern data architectures.

Machine Learning 67

Machine Learning Testing Data-driven Enterprise 67

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. The hardest parts of data science are problem definition and solution measurement, not model fitting and data cleaning , because counting things is hard.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71