Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021.

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Statistics Risk Measurement Software 106

Smart Data Collective

DECEMBER 17, 2021

However, how we connect online can be both highly beneficial (such as fast 5G speeds) and expose us to risks that we were unaware of in the first place. How These Statistics Matter To Your Online Security. This exposure can lead to some serious risks for your customer’s information as well as your business.

Risk 100

Risk Statistics Sales Software 100

CIO Business Intelligence

FEBRUARY 9, 2023

Here are six revealing statistics that show how far the IT industry still has to go before it can truly become a level playing field. This is a disheartening statistic that won’t change without considerable work being done at the top. billion dollars each year because of inequitable and often unwelcoming work environments.

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Statistics IT Reporting Cost-Benefit 116

Smart Data Collective

MARCH 27, 2020

Here is the type of data insurance companies use to measure a client’s potential risk and determine rates. Traditional data, like demographics, continues to be a factor in risk assessment. Teens and young adults are less experienced drivers and, therefore, at risk for more car accidents. Demographics. This includes: Age.

Insurance 107

Insurance Measurement Risk Cost-Benefit 107

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

MAY 9, 2024

Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks. And they must develop and upskill talent to ensure the workforce is well-versed in the innovation and risk associated with AI use. The same can be said for AI talent in general, Daly stresses.

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Risk Management Risk Cost-Benefit Technology 122

DataKitchen

MARCH 12, 2024

Our vision was to create a flexible, state-of-the-art data infrastructure that would allow our analysts to transform the data rapidly with a very low risk of error. Data errors can cause compliance risks. .” — Associate Director, Insights, Top 10 global pharmaceutical company. That was amazing for the team.” Databricks was all green.

Metrics 120

Metrics Software Cost-Benefit Testing 120

IBM Big Data Hub

MARCH 7, 2023

The worldwide statistics on premature births are staggering— the University of Oxford estimates that neonatal sepsis causes 2.5 The challenge was gleaning relevant insights from the vast amount of data collected to help identify those infants at risk. million infant deaths annually.

Risk 52

Risk Technology Informatics Predictive Modeling 52

CIO Business Intelligence

APRIL 12, 2024

For financial services in the short term, generative AI specifically will allow for further automation of financial analysis and reporting, enhancement of risk mitigation efforts, and optimization of financial operations, according to a report, The implications of generative AI in Finance , by consulting firm Deloitte.

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Experimentation Reporting Testing Statistics 143

IBM Big Data Hub

NOVEMBER 29, 2023

To build that trust and drive broad adoption, vendors of synthetic data generation tools will need to address two critical questions that many business leaders ask: Will synthetic data expose my business to additional data privacy risks? How accurately does synthetic data reflect my existing data? This is partially true for synthetic data.

Metrics 89

Metrics Machine Learning Risk Statistics 89

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028. Forecast financial market trends.

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Predictive Analytics Analytics Predictive Modeling Forecasting 145

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. Because statistics: Last is the inherently probabilistic nature of ML.

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Risk Modeling Data Processing Software 359

IBM Big Data Hub

JANUARY 25, 2024

The equation looks like this: A further study provided more calculations that refine the statistical definitions of a wise crowd, including ignorance of other members’ predictions and inclusion of those with maximally different (negatively correlated) predictions or judgements. What are the risks for disparate impact?

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Predictive Modeling Modeling Risk Statistics 91

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

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Optimization Statistics Metadata Data Lake 108

DataRobot Blog

DECEMBER 6, 2022

Bureau of Labor Statistics predicts that the employment of data scientists will grow 36 percent by 2031, 1 much faster than the average for all occupations. Taking a Multi-Tiered Approach to Model Risk Management. Bureau of Labor Statistics. Data scientists are in demand: the U.S. See DataRobot in Action. Watch a demo.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Smart Data Collective

SEPTEMBER 2, 2023

With better benchmarks, KPIs, and statistics , business leaders can better understand their environments and ultimately make more objective, logical decisions. This is an especially important risk to acknowledge when presenting or interpreting data in ways that can potentially skew it. Misleading conclusions. Ignorance of outliers.

Key Performance Indicator 113

Key Performance Indicator Statistics Metrics Interactive 113

bridgei2i

MAY 27, 2021

A Masters in Quantitative Economics from the Indian Statistical Institute (ISI), Calcutta, Prithvijit founded BRIDGEi2i in May 2011. Pritam Kanti Paul, CTO and Co-Founder of BRIDGEi2i Analytics, is a Gold Medalist in his batch of Masters in Statistics at the Indian Statistical Institute Calcutta.

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Statistics Digital Transformation Data Processing Forecasting 98

CIO Business Intelligence

APRIL 11, 2024

Governments cannot put their head in the sand and ignore change, but they operate in a highly complex, data-sensitive environment and can’t afford to take on fundamental business risks in the name of innovation. You don’t have to risk resiliency to embrace innovation. You don’t have to rip out what’s working for your business.

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Cost-Benefit Predictive Analytics Data-driven Risk 105

Smart Data Collective

OCTOBER 8, 2023

It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms. Bias Risks Another risk lies in the potential for bias.

Data Analytics 93

Data Analytics Analytics Statistics Data Collection 93

O'Reilly on Data

MARCH 26, 2024

It’s ironic that, in this article, we didn’t reproduce the images from Marcus’ article because we didn’t want to risk violating copyright—a risk that Midjourney apparently ignores and perhaps a risk that even IEEE and the authors took on!) To see this, let’s consider another example, that of MegaFace.

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Modeling Machine Learning Risk Advertising 275

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

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Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

OCTOBER 3, 2023

Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory. If you play fantasy football, you are no stranger to data-driven decision-making.

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Modeling Statistics Consulting Unstructured Data 96

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. It’s a compromise that delivers the results we need while minimizing risk.”

Management 87

Management IT Machine Learning Metrics 87

Dataiku

MAY 12, 2022

Estimating risk is the essential ingredient to determine the price of an insurance policy. The estimated risk of an insurance policy is the minimum price an insurer should quote to be breakeven, therefore evaluating this risk with precision and confidence is the foundation of a robust quoting system.

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Insurance Breakeven Modeling Statistics 59

Smart Data Collective

JUNE 8, 2023

The Evolution of Data Collection in Football Traditionally, football relied on basic statistics such as goals, assists, and possession percentages to evaluate performance. Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes.

Statistics 52

Statistics Data mining Visualization Reporting 52

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smart Data Collective

AUGUST 31, 2023

Statistics security issues are growing as more businesses shift their information to the cloud. Conduct Rigorous Risk Assessment Organizations must undertake a comprehensive risk assessment before transferring sensitive data and applications to the cloud.

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Risk Measurement Strategy Data-driven 107

CIO Business Intelligence

OCTOBER 4, 2023

Certified Information Systems Auditor (CISA); PMI Program, Portfolio, and Risk Management Professionals (PgMP, PfMP and PMI-RMP); Six Sigma Black Belt and Master Black Belt; Certified in Governance, Risk, and Compliance (ISC2); and Certified in Risk and Information Systems Control (CRISC) also drew large premiums.

Prescriptive Analytics 135

Prescriptive Analytics IT Machine Learning Risk 135

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

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Data Science Statistics Deep Learning Machine Learning 104

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply?

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IT Statistics KPI Data-driven 317

CIO Business Intelligence

JANUARY 9, 2024

To get past those points, Colisto worked to educate leaders about the capabilities and risks of AI, seeking to move the company from “no to know.” Similarly, the 2023 US AI Risk Survey Report from professional services firm KPMG found that data integrity was No. What is our appetite for risk and how do we address it?

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IT Risk Cost-Benefit Enterprise 140

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 125

Enterprise Modeling Testing Data-driven 125

O'Reilly on Data

NOVEMBER 29, 2022

While it’s unlikely that the bill will become law, merely raising the possibility of criminal prosecution and jail time has upped the ante for “ commercial entities that operate high-risk information systems or automated-decision systems, such as those that use artificial intelligence or machine learning.”.

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Machine Learning Recreation/Entertainment Risk Testing 278

Smart Data Collective

JULY 16, 2023

The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management. Optimizing hedge fund performance requires the implementation of intelligent strategies, from managing risks to maximizing returns, improving investor relations, and adapting to shifting market conditions.

ROI 71

ROI Data Analytics Analytics Risk Management 71

CIO Business Intelligence

NOVEMBER 7, 2023

This analysis isn’t just a statistical exercise but a crucial necessity in our interconnected world, where the security of our digital infrastructure is intertwined with our physical safety and economic stability. PAM can help prevent insider threat risks and reduce the potential of credentials becoming compromised.

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Measurement Risk Strategy Statistics 131

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

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Business Intelligence Statistics Visualization Data-driven 239