Smart Data Collective

APRIL 10, 2020

This was the highest figure in the country since 2009. However, the detailed findings of intelligent asset performance analysis allow financers to minimize risks and maximize expected returns,” the company reports. During 2019, 2.3 GW of wind power was produced in Spain.

Machine Learning 140

Machine Learning IoT Optimization Forecasting 140

CIO Business Intelligence

JULY 2, 2024

In terms of value, this move was designed to enhance customer service, mitigate risks, and boost efficiency, showing substantial benefits to stakeholders. For example, Netflix’s 2009 $1 million algorithm contest succeeded but the algorithm wasn’t used due to integration issues and business model changes.

Technology 111

Technology Cost-Benefit Digital Transformation Optimization 111

Smart Data Collective

FEBRUARY 14, 2023

It’s seemingly compulsory for most developers to build mobile versions of their applications or risk losing millions of potential users. Many people tend to forget their app updates, which can pose significant risks. But, using browser-based apps removes this risk altogether.

Risk 136

Risk Technology Optimization Machine Learning 136

Smart Data Collective

AUGUST 22, 2021

The first blockchain-based cryptocurrency, Bitcoin, was launched in 2009. We cannot ignore the risk and speculative nature associated with crypto assets. Predictive analytics might not be as important with mining, because investors don’t have to risk their initial investment. Is Investment in Crypto Sustainable?

Predictive Analytics 134

Predictive Analytics Analytics ROI Marketing 134

CIO Business Intelligence

OCTOBER 20, 2023

Scrum.org was founded in 2009 by Ken Schwaber and Jeff Sutherland, the originators of Scrum, as a “global organization, dedicated to improving the profession of software delivery by reducing the gaps, so the work and work products are dependable.” Develop strategies for managing risks, as well as risk tracking.

Software 126

Software Insurance Management Manufacturing 126

Smart Data Collective

OCTOBER 25, 2020

The first crypto to be invented was Bitcoin in 2009, and 11 years later, it remains the most popular overall. Non-traceable and non-anonymous cryptos exclude capital control while risking the safety of users’ information. Machine learning is making cryptocurrencies easier to trace. Bitcoin’s Traceability.

Machine Learning 145

Machine Learning Big Data Publishing Technology 145

Smart Data Collective

MAY 7, 2023

Since Bitcoin’s was first launched back in 2009, blockchain uses have exploded via the creation of various cryptocurrencies, decentralized finance applications, NFTs, and smart contracts. The currency must maintain specific stability to provide profitable investments and ensure that the risks of such investments are minimal.

Cost-Benefit 115

Cost-Benefit Risk Technology Marketing 115

Smart Data Collective

SEPTEMBER 13, 2022

It was launched as a paid service and went on to add a freemium option in 2009, growing its user base from 85,000 to 450,000 a year. SaaS is clever and allows users to preserve data intelligently without risk of data loss; there is no need to send documents for review, systematic folders, and master documents.

Cost-Benefit 126

Cost-Benefit Data Processing Software Data-driven 126

Sisense

JANUARY 21, 2020

A new drug promising to reduce the risk of heart attack was tested with two groups. When the data is combined, it seems that the drug reduces the risk of getting a heart attack. In addition, men are at a greater risk of having a heart attack, overall. It also reduced their risk of heart attack. of men took the drug).

Testing 104

Testing Data-driven Risk Statistics 104

CIO Business Intelligence

FEBRUARY 24, 2023

During the 2008–2009 Global Financial Crisis (GFC) and subsequent recession, researchers noted that cybercrime rates increased dramatically. Cyber budgets must be spent wisely, often without increasing costs or targeting the most likely risks. However, there is some evidence that macroeconomic conditions can impact cybercrime.

Strategy 105

Strategy ROI Consulting Technology 105

John Wheeler

MARCH 30, 2020

Integrated Risk Management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. These efforts demonstrate the rising need for an integrated approach to risk management and highlight the following four IRM market trends.

Marketing 59

Marketing Risk Management Risk Digital Transformation 59

CIO Business Intelligence

DECEMBER 7, 2022

Security tops the list According to this year’s State of the CIO survey , cybersecurity and risk management are the top investment areas for 45% of IT leader respondents. Focus on risk management, he advises, and “have a little faith in your CFO and CEO. Budgeting, IT Leadership, IT Strategy.

IT 132

IT Insurance Cost-Benefit Risk Management 132

Jet Global

FEBRUARY 11, 2021

For both, the risks and costs associated with disputes are high. However, the report advises against using a comparability analysis that draws on information from what happened during the global financial crisis of 2008/2009. She added that, for taxpayers, these challenges create increased uncertainty.

Reporting 98

Reporting Uncertainty Risk Enterprise 98

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. Pimblett took a carrot-and-stick approach to get everyone working together, partnering with them on value creation (the carrot of profit) and risk mitigation (the stick of compliance).

IT 98

IT Forecasting Data Lake Data Warehouse 98

Occam's Razor

SEPTEMBER 29, 2009

Ideally you'll measure the number prior to your branding campaign, say Feb 2009, and then you'll measure it again during your campaign, March 2009. It is important to point out I am simply doing outside-in analysis, a sport always fraught with risk. Notice the competitive trends?

Measurement 130

Measurement Metrics Analytics Marketing 130

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Domino Data Lab

MAY 20, 2021

This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Chawla et al. 2002) do not present a rigorous mathematical treatment for this modification, and the suggested median correction appears to be purely empirical-driven. Indeed, in the original paper Chawla et al. link] Fisher, R.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

CIO Business Intelligence

JULY 18, 2023

The market for using GPUs as general-purpose processors (GPGPUs) really opened up in 2009, when OpenGL publisher Khronos Group released Open Computing Language (OpenCL). One is building and running the virtual worlds in which self-driving algorithms are tested without putting anyone at risk. Nvidia gets two bites at this market.

Manufacturing 98

Manufacturing Forecasting Marketing Testing 98

CIO Business Intelligence

NOVEMBER 7, 2022

While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.” ERP pains are a recurring illness for Invacare, which also had problems with an earlier upgrade between 2005 and 2009. million over the following nine months. By March 2019, things were slipping.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

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. Data lineage and financial risk data compliance. All these models need to be informed by data, with operational risk assessment mandating loss data that goes back 10 years. .

Insurance 52

Insurance Risk Metadata Reporting 52

Octopai

JUNE 16, 2021

Do you ever feel like taking risks? . If you’re a bank, however, taking risks doesn’t just have implications for you, but for all your customers and (if you’re big enough) for the economy as a whole. . The Basel III framework, as well as Basel IV, call for regulation changes in multiple areas, including: Credit risk.

Management 52

Management Risk Management Risk Visualization 52

BizAcuity

JULY 15, 2022

A few years after the advent of cloud computing solutions (2006), came cryptocurrencies like Bitcoin (2009) and Ethereum which leveraged blockchain to decentralize financial transactions. This also improves resilience over the long run thanks to better risk analysis and management.

Technology 52

Technology Management IoT Cost-Benefit 52

Mark Raskino

JANUARY 15, 2019

If that scenario does actually unfold, corporate risk attitudes toward all things “digital” might then change. If we did head into economic recession territory, this time it might arrive more slowly and predictably than 2009. I can’t say it will happen – but I think most people reading this will acknowledge that it might.

Strategy 45

Strategy Marketing Technology Publishing 45

Alation

JUNE 7, 2023

As these issues continue to swirl, many business leaders will suggest pulling back, waiting to see what happens, and minimizing exposure to risk. Finding opportunity in speed Sequoia says that, in a crucible moment, if a business activity is not driving revenue growth, saving money, or reducing risk, it’s “fluffy.”

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

If we observe label vector y and feature vectors $x_1, cdots, x_d$ we can write the differentiable empirical risk minimization problem with a squared loss as$$ min_theta left| y - sum_{j=1}^d c_j(x_j) right|^2 $$Note that we use squared loss for the simplicity of presentation; one can use any differentiable loss in their application.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). Especially for all Business Analytics professionals out there (2009). [7].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Jet Global

NOVEMBER 14, 2022

The purpose of transfer pricing is to ensure that each company in a group earns a fair return on its investment, taking into account risk and the cost of capital. The company transferred IP value to affiliates between 2007 and 2009. Mitigate Your Transfer Pricing Risk through Continuous Monitoring. Download Now.

Cost-Benefit 52

Cost-Benefit Sales Marketing Risk 52

BizAcuity

APRIL 25, 2022

From 2009 to 2019, in a span of 10 years, the United States tripled its gross gaming revenue from $34.3 can identify those customers most at risk of churning, and determines potential reasons for this churn, Then marketing campaigns can target these at-risk customers in a personalized way and work to keep them engaged and playing.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Peter James Thomas

JUNE 20, 2019

– McKinsey 2009. . [6]. For example in 20 Risks that Beset Data Programmes. . [7]. And a more competent Chief Risk Officer. . . – Gartner 2007. “60-70% 60-70% of the time Enterprise Resource Planning projects fail to deliver benefits, or are cancelled”. – CIO.com 2010. “61% 61% of acquisition programs fail”.

Cost-Benefit 55

Cost-Benefit Data Warehouse Data Science Consulting 55

Domino Data Lab

APRIL 21, 2021

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer. SMOTE: synthetic minority over-sampling technique. 3] He, H. &

Statistics 69

Statistics Machine Learning Modeling Metrics 69

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. PDPs for the bicycle count prediction model (Molnar, 2009). 1 570 0 570 Name: credit, dtype: int64.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Smart Data Collective

JANUARY 19, 2021

In the year 2009, a man under the alias of Satoshi Nakamoto invented the first digital currency called bitcoin and initiated the use of blockchains. Many companies like Amazon, Walmart, and Ford use blockchain technology to track supply chains which have increased trust and reduced risks with consumers and investors.

Finance 139

Finance Insurance Uncertainty Marketing 139

Domino Data Lab

MAY 8, 2019

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. Given how so much of IT gets driven by concerns about risks and costs, in practice auditability tops the list for many business stakeholders. Ergo, less interpretable.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

DataRobot

APRIL 12, 2021

In 2009, an Iridium Communications satellite and a Soviet-era satellite collided 500 miles above Siberia, creating thousands of pieces of debris. When the density of objects in low-earth orbit reaches a certain point, the collisions of satellites create more debris, creating more collisions, and so on.

Software 52

Software Machine Learning Dashboards Modeling 52

Cloudera

SEPTEMBER 4, 2018

And like background fireworks, the global banks have lit up their share of headlines, posting record fines (exceeding 342 billion dollars between the US and EU since 2009) for misconduct, including violation of anti-money laundering rules.

Reporting 43

Reporting Finance Sales Marketing 43

Domino Data Lab

JULY 9, 2019

When he retired in 2009 he had some time on his hands. You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk. Please help us make sense of it.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

DECEMBER 28, 2021

A 2009 investigative survey by Dr. Daniele Fanelli from The University of Edinburgh found that 33.7% Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! In the image above, we can see a graph showing 77% of Christian Americans in 2009, a number that decreased to 65% in 2019.

Statistics 363

Statistics Advertising Visualization Data mining 363