CIO Business Intelligence

SEPTEMBER 28, 2022

Companies that did so in 2001 and 2008 were frequently punished for it by the market. The type of connectivity enabled by 5G makes it easier for some companies to deploy edge computing, which creates the volumes of data required to feed AI models, and so on. even if that was initially out of necessity.â??. t spur IT cutbacks.

Cost-Benefit 98

Cost-Benefit IT Forecasting Data-driven 98

CIO Business Intelligence

MARCH 21, 2024

After a long courtship that included lunches with members of McWane’s C-suite to ensure a cultural fit, Lovelady signed on to helm IT as CIO at the global manufacturer of ductile iron products, valves, hydrants, fittings, plumbing products, fire extinguishers and suppression systems, and steel pressure vessels. The Birmingham, Ala.-based

IT 112

IT Manufacturing Risk Management Risk 112

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Risk management and models in a COVID-19 world.

Risk 89

Risk Marketing Technology Management 89

Jedox

OCTOBER 8, 2020

We had the Financial Crisis/Recession of 2008, where hopefully the comment “Well that will never happen” has been struck from our lexicon and is now considered a punishable capital offense. The 2008 economic crisis was a watershed event for FP&A teams and scenario planning.

Uncertainty 75

Uncertainty Cost-Benefit Unstructured Data Data-driven 75

Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. The banking system’s inability to deal with the Great Recession of 2008-2009 led to the passage of regulations designed to make banks more responsible in preparing for financial risk.

Insurance 52

Insurance Risk Metadata Reporting 52

Smarten

JUNE 17, 2022

It was initiated in 2004 by the Department of Information Technology for implementing the provisions of the 2008 Information Technology Amendment Act. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smart Data Collective

MARCH 22, 2019

Realtors all over the country have started embracing automation to streamline their valuation and customer engagement models. New models use the latest geographic, economic and demographic data to minimize the risk of mistakes when analyzing properties. The error rate for real estate professionals using AI algorithms is just 9%.

Big Data 69

Big Data Cost-Benefit Marketing Strategy 69

AWS Big Data

MARCH 26, 2024

Topics including benchmarking, trading data accuracy for carbon, encouraging a data minimization culture, implementing data retention processes, optimizing data modeling, preventing unnecessary data movement, and efficiently managing analytics infrastructure. Theo Tolv is a Senior Analytics Architect based in Stockholm, Sweden.

Data Analytics 56

Data Analytics Analytics Big Data Data Lake 56

DataRobot Blog

MAY 31, 2022

The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. In this blog post, the DataRobot team will show how the DataRobot AI Cloud Platform can build models to predict if an employee will depart an organization in the next six months.

Management 59

Management Risk Testing Modeling 59

Cloudera

JANUARY 26, 2022

In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape. In 2008, Cloudera was born. The amount of data being collected grew, and the first data warehouses were developed. Big Data” became a topic of conversations and the term “Cloud” was coined. .

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

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 115

IoT Internet of Things Data-driven Uncertainty 115

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

AWS Big Data

JUNE 2, 2023

Having used Cognos since 2008, this was not just a lift-and-shift migration. Thanks to the AWS pay-as-you-go pricing model, we were able to only pay for what we needed when demand was lower in 2020. After we made the decision to make QuickSight our BI solution, we were able to move our hotels from Cognos to QuickSight within 10 months.

Business Intelligence 52

Business Intelligence Enterprise Dashboards Sales 52

CIO Business Intelligence

MAY 23, 2023

Unlocking VMware’s potential Broadcom’s business model and its decades of focus on R&D combined with VMware’s core technology and superb talent will be the catalysts that will enable VMware to capture the growth opportunity in front of it. VMware needs more partners to grow, and we will help it succeed in doing so.

Uncertainty 145

Uncertainty Cost-Benefit Risk Technology 145

CIO Business Intelligence

MAY 11, 2022

What mobile money licenses will provide to Nigeria is the ability for fintechs to move beyond the traditional model of a bank-provided account,” Straub says. The Kenyan banking sector in early 2008 saw mobile money as a threat. “APIs facilitating open banking are absolutely the foundation of a thriving fintech ecosystem.

Marketing 111

Marketing Insurance Reporting Consulting 111

Jen Stirrup

FEBRUARY 1, 2023

The effects of AI will be magnified in the coming decade as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning.

Recreation/Entertainment 62

Recreation/Entertainment Testing Advertising Insurance 62

Smart Data Collective

MARCH 10, 2022

The biggest benefits relate to using big data to understand voters and create models of voting patterns in various districts. Even accounting for inflation, student debt has increased by 317% since 1970 and by 157% since the 2008’s Great Recession. More policymakers are using data to make more informed decisions.

Data Analytics 104

Data Analytics Analytics Big Data Cost-Benefit 104

Smart Data Collective

APRIL 5, 2022

We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. The model quality may suffer because too much sunlight may add a lot of reflections to the images the drone is capturing, which in turn reduces data quality. Well, that’s incorrect.

Data Collection 110

Data Collection Data Quality Big Data Data-driven 110

Jet Global

JUNE 25, 2020

Based on 20 years of research findings and heavily informed by insights gleaned from the 2008 financial downturn, the list deserves review: Taking Bigger Bets. Combining Budget Models. Fighting Scope Creep. Funding Critical Initiatives. Facilitating Risk Taking. Learning the Customer. Cutting the Losses. Trimming Costs Carefully.

Uncertainty 52

Uncertainty Reporting Risk Metrics 52

CDW Research Hub

MAY 24, 2019

Consumption models in a cloud environment—specifically Azure—are becoming more desirable as the adoption of cloud technology progresses. Monitoring capabilities can be quickly updated to report, alert and log the day-to-day activities of the platform and leverage the operational model currently in place within your organization.

Data Processing 40

Data Processing Management Modeling Strategy 40

Jet Global

MARCH 5, 2019

AI, colloquially, is used to refer to a number of computer-powered business decision drivers, including automation (not AI), data modeling (not AI), and reporting and analytics (also not AI). But are those tools powered by artificial intelligence? So what can AI actually do?

Business Intelligence 75

Business Intelligence OLAP Visualization Reporting 75

Sisense

MARCH 24, 2020

Twelve years ago, in the throes of the 2008 economic recession, British Airways was cutting costs across the organization. At RetailZoom , a team of data scientists supplies supermarkets and FMCG companies with predictive models that incorporate transactional and demographic data to determine the size and scope of promotional activities.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Jet Global

JUNE 22, 2023

In this model, your monthly income is split into the following categories: 50 percent for needs, 30 percent for wants, 20 percent for debts and savings. Link: [link] NPR – Planet Money Since its launch during the 2008 financial crisis, Planet Money, a podcast from National Public Radio, has won many awards.

KPI 105

KPI Finance Dashboards Digital Transformation 105

Paul Blogs on BI

MARCH 25, 2020

Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. I have always believed that Business Intelligence is only 50% about analyzing the data and that the other 50% is the human action taken as a result of that analysis.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

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

CIO Business Intelligence

FEBRUARY 27, 2023

When Greg Greenlee joined the IT industry in 2008, the lack of representation of Black IT professionals among attendees and speakers at tech conferences and events was readily apparent. “It BIT also hosts a startup pre-accelerator program in partnership with the Kukua Institute.

Technology 106

Technology Data Processing IT Interactive 106

CIO Business Intelligence

FEBRUARY 24, 2023

It’s a model that is also drawing the attention of other U.S. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology. government agencies that are also embracing multi-cloud environments. government. He has held this position since March 2006.

Software 119

Software Uncertainty Risk Cost-Benefit 119

CIO Business Intelligence

AUGUST 1, 2023

Instead, our entire business model is grounded in the belief that we can create innovative solutions that will deliver on our customers’ needs over time and progress through multiple generations of technology. From September 2005 to January 2008, he served as chairman of the board of Integrated Device Technology.

Uncertainty 97

Uncertainty Risk Sales Marketing 97

Anmut

NOVEMBER 10, 2020

Formerly known as DONG (Danish Oil and Natural Gas) Energy, in 2008 Ørsted announced a new focus on renewables, targeting 85% clean-energy supply by 2040. Using this data to model 3D wind improved power output and ensured future energy forecasts were as accurate as possible, helping manage supply variability.

Forecasting 52

Forecasting Data-driven Advertising ROI 52

Sisense

APRIL 2, 2019

The DevOps movement started to come together sometime between 2007 and 2008. This is when IT operations and software development communities started to talk about problems in the software industry, specifically around the traditional software development model. It’s also shaping the way BI and Analytics are deployed.

Software 80

Software Testing Enterprise IT 80

CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. Cramer and co-founder Chris Jennings bootstrapped the company from the ground up, organically growing the business to over 3.5 million developers today.

Software 115

Software Experimentation Testing Marketing 115

Sisense

JULY 14, 2019

This scene dramatizes a similar attack that took place at a US army base in the Middle East in 2008. Admins should be able to programmatically apportion user access by group, team, or individual, by data model, dataset, or down to the individual row-level. Is all that work paying off?

Software 75

Software Strategy Data Warehouse Modeling 75

Ontotext

JANUARY 21, 2021

Even if you have detailed models of your business, data and the technology artifacts that support the business, ontology alignment is still an active area of research with few, if any, off the shelf tools to support such an effort. This is a nontrivial task. Historical Context. From these humble beginnings grew the OWL representation.

Modeling 72

Modeling Finance Technology Insurance 72

AWS Big Data

FEBRUARY 16, 2023

AWS CloudFormation helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS. As a QuickSight administrator, you can use AWS CloudFormation templates to migrate assets between distinct environments from development, to test, to production.

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

AWS Big Data

APRIL 25, 2023

Summary In this post, we showed how you can support a cross-account model to exchange data between different partners with different SaaS integrations using Amazon AppFlow. Delete the resources in the consumer account: Delete the consumer S3 bucket content. Delete the CloudFormation stack.

Sales 68

Sales Visualization Software Marketing 68

O'Reilly on Data

JULY 15, 2019

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Sources of model risk. Model risk management. Image by Ben Lorica.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131