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. Those that are knowledgeable about predictive analytics can apply these strategies more effectively. Is Investment in Crypto Sustainable?

Predictive Analytics 131

Predictive Analytics Analytics ROI Marketing 131

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 87

IT Forecasting Data Lake Enterprise 87

Jet Global

FEBRUARY 11, 2021

For both, the risks and costs associated with disputes are high. It warns, however, that these approaches “would not be appropriate in cases in which taxpayers seek to use the circumstances attached to the COVID-19 pandemic to manipulate their pricing strategies in a way that is inconsistent with the arm’s length principle.”.

Reporting 98

Reporting Uncertainty Risk Enterprise 98

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. Blockchain is still relatively new in the business and financial world, but some companies have implemented this advanced technology into their strategies and have thrived since.

Finance 138

Finance Insurance Marketing Uncertainty 138

Mark Raskino

JANUARY 15, 2019

If that scenario does actually unfold, corporate risk attitudes toward all things “digital” might then change. But they should not simply walk away from technology-related innovation and progress themes in their business strategies. I can’t say it will happen – but I think most people reading this will acknowledge that it might.

Strategy 45

Strategy Marketing Technology Risk 45

bridgei2i

MAY 26, 2020

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

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. If you have tried one of the above strategies did it work?

Measurement 128

Measurement Metrics Analytics Marketing 128

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

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

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

Domino Data Lab

MAY 20, 2021

propose a different strategy where the minority class is over-sampled by generating synthetic examples. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. The class imbalance problem: Significance and strategies. In their 2002 paper Chawla et al. Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

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. There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. In our case, it turns out that the monotonicity regularizer allows us to increase the number of knots without incurring much risk of overfitting there are fewer ways for the model to go wrong.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

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