CIO Business Intelligence

OCTOBER 23, 2023

A poll of public and private sector leaders in the latest World Economic Forum’s Global Risk Report 2022 found that environment-related threats, including climate action failure and extreme weather events, topped the lists of short and long-term global risks.

Strategy 104

Strategy Data Processing Risk Finance 104

CIO Business Intelligence

JUNE 7, 2022

It is frequently used for risk analysis. While the previous six methods seek to analyze quantitative data (data that can be measured), sentiment analysis seeks to interpret and classify qualitative data by organizing it into themes. This has the added benefit of often uncovering hidden patterns. Data analytics salaries.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. Companies like Endor understand the risks and develop data science models that account for them. Risks of using a poorly conceived data strategy. Here are some risks that companies face by overleveraging their big data strategies.

Data Science 86

Data Science Big Data Data Strategy Risk 86

CIO Business Intelligence

SEPTEMBER 6, 2022

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. It’ being everything from how they collect and measure data, to how they understand it and their own glossary. We’re picking off the highest potential value and highest risk areas,” he says.

IT 98

IT Forecasting Data Lake Data Warehouse 98

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.”

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

BizAcuity

MARCH 25, 2019

For event industry, there is a need for their operating systems to store historical data and unless they store this data, the event management company will not be able to measure or understand the revenue analytics trends. billion in 2015 to $21.92 Without this information, revenue analytics are worthless.

Analytics 74

Analytics Dashboards Sales Marketing 74

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. Another benefit is greater risk management. Track, measure, and reuse.

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

datapine

MARCH 31, 2022

The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. We have seen that restaurants can also benefit from analytics and there are many big data examples that also show how analytics can help measure employee satisfaction as well as improve it. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. For example, imagine a fantasy football site is considering displaying advanced player statistics.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

Ontotext

FEBRUARY 2, 2021

Attempts to manipulate share prices by using social media to spread false or misleading information about stocks lead to the SEC’s Investor Alert of 2015, warning institutional investors about the possible impact of social media. However, it is difficult to map the r/WallStreetBets events to the classic financial fraud models.

Marketing 59

Marketing Measurement Cost-Benefit Risk 59

DataRobot Blog

DECEMBER 7, 2019

Guaranteeing money to players who dramatically underperform expectations is a systematic risk in professional sports. However, we also believe we can use AI to predict these good and bad contract risks, and have done so in this analysis as well.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Indeed, as Stefaan Verhulst, co-founder of GovLab, says : “An increased use of data is not risk-free.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

CIO Business Intelligence

MAY 17, 2022

A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well. Risk management was always one of the core foundations of the company. How do you measure the data platform’s ROI and what are the results you’re seeing with Cassandra?

ROI 52

ROI Risk Marketing Modeling 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

AUGUST 11, 2023

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Reduced risk—Machine learning models need review and scrutiny.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Link to item 6 on slide 27 is broken, [link] , for Dashboard to measure business impact, can you provide a current link?

Analytics 64

Analytics Measurement Data-driven Modeling 64

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. Let's take a look at larger groups of individuals whose aggregate behavior we can measure. days or weeks).

Advertising 43

Advertising Testing Sales Statistics 43

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

Posteriors are useful to understand the system, measure accuracy, and make better decisions. Methods like the Poisson bootstrap can help us measure the variability of $t$, but don’t give us posteriors either, particularly since good high-dimensional estimators aren’t unbiased.

KDD 40

KDD Testing Machine Learning Measurement 40

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve comparison of the exposed and unexposed groups would produce an overly optimistic measurement of the effect of the ad, since the exposed group has a higher baseline likelihood of purchasing a pickup truck. arXiv preprint arXiv:1501.03571 (2015). This is often referred to as the positivity assumption. R package version 2.0-15.

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

JANUARY 9, 2012

Most companies are astonishingly blasé about data and possibilities of measurement. " Sad, unimaginative measurements of their sad, unimaginative campaigns. We don't take risk and try things, imaginative (possibly glorious) things, because we believe the price of failure is so high. AND you can control for risk!

Marketing 142

Marketing B2B Measurement Risk 142

O'Reilly on Data

DECEMBER 9, 2019

The probability of an event should be measured empirically by repeating similar experiments ad nauseam —either in reality or hypothetically. Statisticians who believe that probability is a natural property of an event and is measured empirically as a long-run relative frequency are called frequentists. on average. and an error term ??

Statistics 32

Statistics Uncertainty Risk Marketing 32

Domino Data Lab

AUGUST 1, 2021

This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. This is to be expected, as there is no reason for a perfect 50:50 separation of the good vs. bad credit risk. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Legal concerns, risk, compliance. Friction ensued. Technical infrastructure challenges (tech debt).

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

JANUARY 31, 2017

The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics). I'm doing it to have the ability to simplify things, and take risks.

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Insight

DECEMBER 30, 2019

LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015). a circuit) and you measure the output signal, f(t) , given an exceedingly narrow input pulse (approximated as a Dirac delta function).

Visualization 72

Visualization Machine Learning Modeling IT 72

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. million people at risk of catastrophic, flooding. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Data Science 52

datapine

DECEMBER 28, 2021

These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! 29, 2015, Republicans from the U.S. In 2012, the global mean temperature was measured at 58.2

Statistics 363

Statistics Advertising Visualization Data mining 363

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Designate accountable people to mitigate these risks.

Metadata 91

Metadata Measurement Risk Modeling 91

CIO Business Intelligence

DECEMBER 3, 2024

That certification measures your company’s social and environmental impact, both of which we’re super proud of, but it’s also deeply rooted in our culture. Canstar in particular is one that we’ve won multiple times…every time in digital since 2015, in the customer and banking sector. It’s a bit of a balancing act.

Cost-Benefit 102

Cost-Benefit Digital Transformation Technology Measurement 102

Timo Elliott

NOVEMBER 14, 2024

Real-World Examples of Greenwashing Some of the most notorious greenwashing scandals illustrate both deliberate deception and regulatory gray areas: Volkswagen’s Dieselgate: The automaker was fined over $25 billion in 2015 for equipping vehicles with devices that manipulated emissions tests. How Can SAP Help?

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

CIO Business Intelligence

JUNE 17, 2024

Businesses must navigate these complexities carefully to harness AI’s potential while safeguarding the organization from potential risks. Understanding the risks AI systems, while powerful and transformative, do not come without pitfalls. The primary risks lie in three main areas: legal, ethical, and reputational.

Risk 133

Risk Measurement Sales Interactive 133

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Technology 143

Technology Enterprise Consulting Software 143

O'Reilly on Data

JUNE 16, 2020

The quality of the decision is based on known information and an informed risk assessment, while chance involves hidden information and the stochasticity of the world. Consider risk not only in terms of likelihood but also in terms of the impact of your decisions. Risk, Probability, Impact, and Decisions.

Uncertainty 358

Uncertainty Testing Risk Reporting 358