IBM Big Data Hub

FEBRUARY 8, 2024

1 Slowly but surely, institutional investors started to recognize that companies could potentially improve financial performance and risk management by focusing on ESG issues like greenhouse gas emissions. Simplify the capture, consolidation, management analysis and reporting of your ESG data with IBM Envizi ESG suite.

Measurement 79

Measurement Metrics Reporting Strategy 79

CIO Business Intelligence

MARCH 7, 2024

He was an early Amazon executive himself, with key responsibilities in launching the Amazon Marketplace business in 2002. If you ask clients what’s the number one constraint, the number one risk relative to your business, it’s having enough well-trained people to do the job. The second mega force is the labor market.

Digital Transformation 110

Digital Transformation Risk Marketing Strategy 110

erwin

JULY 30, 2020

Originally based on IEEE 1471 , ArchiMate was developed in the Netherlands as a joint venture between private industry and the Dutch Government between 2002 and 2004. It’s tried and tested from an enterprise perspective and an in-demand certification for enterprise architects, so there are relatively low risks associated with adopting it.

Enterprise 138

Enterprise Visualization Modeling Testing 138

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. The algorithm learned to identify children, not high-risk patients. The study’s researchers suggested that a few factors may have contributed.

Analytics 144

Analytics Machine Learning Insurance Testing 144

Smart Data Collective

JULY 31, 2022

Traders will have to use it to manage their risks by making more informed decisions. Since December 2002, the single currency has fallen to its lowest level versus the US dollar since the beginning of the coronavirus epidemic in July because of energy worries, supply constraints, and rate rises from the European Central Bank (ECB).

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

Jet Global

AUGUST 13, 2020

Although security managers and network administrators may have easy access to company data, they don’t understand the ins and outs of your business’s financial transactions the way your finance department does. In 2002, the U.S. Identify Risk Factors. Consider potential risks inherent to your company’s activities.

Enterprise 98

Enterprise Finance Cost-Benefit Risk 98

Smart Data Collective

NOVEMBER 25, 2021

College students are often believed to be least at risk, because they are more tech-savvy and presumably know how to stop data breaches. Since they use the Internet a lot more than their older peers, they might actually be at an even higher risk. Why Are College Students at Risk of Online Threats? What Research Shows.

Big Data 96

Big Data Risk Data-driven ROI 96

CIO Business Intelligence

NOVEMBER 2, 2023

However, this fundamental concept, emphasizing limited access to resources and information, has been progressively overlooked, placing our digital ecosystems at greater risk. Organizations that follow the principle of least privilege can improve their security posture by significantly reducing their attack surface and risk of malware spread.

Internet of Things 122

Internet of Things IoT Software Risk 122

Alation

FEBRUARY 1, 2022

Most traditional governance methods involve cumbersome manual processes; spreadsheets and human-led documentation of policies in numerous patchwork systems translate to a lot more searching, manual updating, and the risk of exposing one’s data. Otherwise, we risk opening Pandora’s box.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

Alation

APRIL 12, 2022

In 2002, Capital One became the first company to appoint a Chief Data Officer (CDO). On the other, a data free-for-all creates risk—not only of data leaks with regulatory penalties, but also of inefficiency, as the same work and assets may be duplicated across the organization. Improving Data Quality.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

Domino Data Lab

JUNE 2, 2019

Many enterprise organizations with sophisticated data practices place those kinds of decisions on data science team leads rather than the executives or product managers. Clearly in these situations, becoming model-driven addresses an existential risk and that’s the point Nick Elprin made in his keynote. Because of compliance.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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. 16, 1 (January 2002), 321–357. [3] 2] Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Understanding what is relevant to the organization is critical to managing the deluge of questions that could be asked of all the data we now collect. Of course, exploratory analysis of big unintentional data puts us squarely at risk for these types of mistakes. Is it actionable? Consistency. 109:2211–2213. [3] 3] Hill, A.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Case in point: circa 2002 I was teaching network security in a continuing education program. Let me ask a question: as a manager, do you outsource that training? In business terms, why does this matter ? Help make connections.

Data Science 56

Data Science Machine Learning Reporting Visualization 56