IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 84

Measurement Metrics Reporting Strategy 84

Cloudera

FEBRUARY 23, 2023

Since the 1990s, opioid abuse in the US skyrocketed to the point that in 2017 the Department of Health and Human Services declared the opioid crisis a public health emergency. While many of these drugs provide pain relief, the potential for misuse and outright abuse due to their addictive nature is extremely high.

Data Analytics 75

Data Analytics Analytics Data Processing Risk 75

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. Global Change Research Program, 2017. Copernicus, Jan.

Modeling 119

Modeling Forecasting Reporting Risk 119

CIO Business Intelligence

SEPTEMBER 7, 2022

Cropin Apps, as the name suggests, comprises applications that support global farming operations management, food safety measures, supply chain and “farm to fork” visibility, predictability and risk management, farmer enablement and engagement, advance seed R&D, production management, and multigenerational seed traceability.

B2B 86

B2B Contextual Data IoT Deep Learning 86

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.

Big Data 113

Big Data Technology Testing Cost-Benefit 113

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

IBM Big Data Hub

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Digital Transformation 66

Digital Transformation Risk Data Processing Enterprise 66

Smart Data Collective

MARCH 16, 2022

There were 1,862 data breaches in 2021 , which is a 20% increase from the previous record set in 2017. You have to take stringent measures to secure your data. These networks are un-encrypted connections that leave your devices at risk. Data security is a greater concern than ever before. VPNs Are Invaluable for Data Security.

Measurement 93

Measurement IT Risk Software 93

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” Blockchain Challenges Privacy and Security: The nature of blockchains as a public ledger presents personal privacy and security risks that likely limit the technology’s adoption in sensitive industries such as healthcare.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

Smart Data Collective

JULY 8, 2019

between 2016 and 2017. Many businesses are shocked when there’s an injury in the workplace when everyone followed the correct safety measures. This information can be used to change safety standards or develop new employee training measures to avoid this type of issue in the future. increased by 5.3%

Big Data 77

Big Data Measurement Reporting Predictive Analytics 77

CIO Business Intelligence

MAY 20, 2022

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. All of that together is how we’re measuring the value of going to the cloud.”. Her answer? She gets to change the world.

IT 95

IT Digital Transformation Internet of Things Data Architecture 95

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Cloudera

MARCH 30, 2022

Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. Making positive progress is about driving collective accountability, rebuilding policy, and focusing on proactive measures. Organizations need policies, not power hires, to weather the coming changes.

Data-driven 114

Data-driven Marketing Measurement Modeling 114

Jet Global

OCTOBER 8, 2020

It also decreases the risk of errors by eliminating disjointed, manual processes. And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

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. Without this information, revenue analytics are worthless.

Analytics 74

Analytics Dashboards Sales Marketing 74

Cloudera

MAY 27, 2021

Turning a blind eye to problems or applying half measures isn’t going to work. By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it,” AI researcher Eliezer Yudkowsky wrote in a paper titled, “ Artificial Intelligence as a Positive and Negative Factor in Global Risk.” .

Machine Learning 114

Machine Learning Big Data Consulting Technology 114

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. An erwin-UBM study conducted in late 2017 sought to determine the biggest drivers for data governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

CIO Business Intelligence

APRIL 15, 2022

To a large extent, this is related to the punitive measures imposed by the US government at the start of the war in Ukraine. The New York Times has documents from 2017 and 2018 that allegedly prove that the Finns knew who they were supporting. Users are completely anonymous and can use it in Russia without risking detection by censors.

IT 105

IT Internet Publishing and Broadcasting Manufacturing Sales 105

Data Insight

APRIL 15, 2019

If you look at the metrics of what defines business success from a leadership perspective, a traditional business measurement used to be all about profit and loss, production, efficiency and productivity. The majority of businesses believed they were still either in early stages (23 percent) or developing (43 percent).

Data-driven 40

Data-driven Metrics Measurement Strategy 40

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management. Intraday VaR. Citations. [1]

Risk 92

Risk Marketing Risk Management Data-driven 92

O'Reilly on Data

JUNE 19, 2019

A catalog of validation data sets and the accuracy measurements of stored models. Measuring online accuracy per customer / geography / demographic group is important both to monitor bias and to ensure accuracy for a growing customer base. Related to this is the need to monitor bias, locality effects, and related risks.

Modeling 194

Modeling Machine Learning Testing Metrics 194

The Unofficial Google Data Science Blog

APRIL 17, 2017

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. Such a model risks conflating important aspects, notably the growth trend, with other less critical aspects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ That’s a risk in case, say, legislators – who don’t understand the nuances of machine learning – attempt to define a single meaning of the word interpret. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. for DG adoption in the enterprise.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. What Are the Risks? Copyright violation is another risk. Tokens are significant parts of a word.

IT 262

IT Modeling Testing Risk 262

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 95

Experimentation Statistics Testing Strategy 95

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Some relate to inherent issues with what is being measured.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Anmut

NOVEMBER 3, 2020

Daniel Moody’s classic paper Measuring the Value of Information draws our attention to one of the most important properties of data, referred to by economists as being “anti-rivalrous”. Costs arise from implementing compliance, while risks arise from the possibility of fines and reputational damage if regulations are broken.

Management 52

Management ROI Metadata Data Quality 52

CIO Business Intelligence

FEBRUARY 27, 2023

The IT sector in Ukraine had stabilized after the 2014 Russian incursion with growth accelerating beginning in 2017 and “supercharging” in 2020 and 2021, says Katie Gove, senior director-analyst in Gartner’s Technology and Service Provider Research division. Some employees transferred immediately while others waited.

Software 78

Software Marketing Uncertainty Technology 78

Domino Data Lab

AUGUST 8, 2019

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. Public Health Reports (2017-07-10).

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

DECEMBER 30, 2019

In Figure 1, you can see the results of the Harris corner detector applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals: Figure 1?—?Harris Harris corner detection applied to an image of Jessie Graff competing in the 2017 American Ninja Warrior Finals. Original image is on the left.

Visualization 72

Visualization Modeling Machine Learning IT 72

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 27

Statistics Uncertainty Risk Marketing 27

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

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. The fact is that it is and will affect our lives, whether we like it or not.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361