Smarten

JUNE 17, 2022

.” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

BizAcuity

APRIL 1, 2023

Predictive modeling for flagging suspicious activity Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity. Building a predictive model is a continuous process and commitment.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

BizAcuity

JANUARY 18, 2023

Predictive modeling for flagging suspicious activity. Predictive analytics can be used to analyze past customer behavior and transactions to identify patterns that may indicate potential money laundering activity. Steps to building a highly accurate predictive model for AML. These include-. REFERENCES. [1]

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JULY 24, 2023

It has also developed predictive models to detect trends, make predictions, and simulate results. For example, LaLiga uses AI to engage and retain fans, by recommending content and providing additional insight into the fan experience via sentiment analysis.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

Paul Blogs on BI

MARCH 25, 2020

We are really missing data and so the metrics are incomplete and, as such, we should ask ourselves the question: “Are we measuring the right things?”. Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. Stay healthy.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 128

Advertising Machine Learning Software Measurement 128

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 119

Advertising Machine Learning Software Measurement 119

Smarten

NOVEMBER 22, 2019

Augmented analytics and tools like Smart Visualization and Self-Serve Data Preparation , as well as Assisted Predictive Modeling can provide guidance and auto-suggestions and recommendations to make users more comfortable in adopting analytics and achieving positive outcomes.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

DataKitchen

JUNE 19, 2023

It involves tracking key metrics such as system health indicators, performance measures, and error rates and closely scrutinizing system logs to identify anomalies or errors. The above image shows an example custom ‘data in use’ test of a predictive model and API. The value here is improved end-user experienc e.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

IBM Big Data Hub

JUNE 29, 2023

First, availability measures the operational capacity of an asset over time. While reliability and availability are both measured in percentages, it’s possible—even likely—that these percentages will differ even when referring to the same piece of equipment.

Cost-Benefit 87

Cost-Benefit Measurement Management Predictive Analytics 87

Smart Data Collective

APRIL 21, 2022

Measuring the total power output of the farm is not the only issue. Since there is enough historical data, the energy companies can apply analytical and predictive models to calculate power generation rates under certain weather conditions. This explains the growing number of solar companies turning to big data.

IoT 100

IoT Internet of Things Forecasting Predictive Modeling 100

Cloudera

OCTOBER 14, 2020

Many companies build machine learning models using libraries, whether they are building perception layers for autonomous vehicles, allowing autonomous vehicle operation, or modeling a complex jet engine. This data will be used to train the model that can predict how many flights a given engine has until failure.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

DataRobot

MAY 25, 2021

As part of these efforts, we built accurate predictive models to determine the spread of the disease weeks and months in advance of a surge. At the beginning of the pandemic, DataRobot committed to fighting against COVID-19 from a data science perspective.

Testing 52

Testing Predictive Modeling Data-driven Reporting 52

FineReport

APRIL 21, 2024

By embracing SaaS BI tools , businesses can unlock enhanced scalability, faster implementation, and robust security measures while empowering users with self-service analytics capabilities. Tableau’s AI tool, Einstein, can analyze data faster, plucking out useful insights while creating high-quality predictive models.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smart Data Collective

JULY 10, 2019

However, collecting new data is becoming easier, as patient monitoring equipment provides more than 1,000 measurements per second. It is estimated that the number of measurements will rise to 10,000 per second in the near future. With ‘big data’, the idea is to foster a culture of measurement in hospitals.

Big Data 72

Big Data Measurement Predictive Modeling Manufacturing 72

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

MARCH 28, 2022

There are four main types of data analytics: Predictive data analytics: It is used to identify various trends, causation, and correlations. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

O'Reilly on Data

MAY 18, 2020

All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.” If, however, the impact of this type of failure was diminished–by, for example, the model being used as one of several overlapping diagnostic tools–materiality would decrease.

Risk 359

Risk Modeling Data Processing Software 359

John Wheeler

OCTOBER 20, 2020

banking, insurance and securities) measure risk on a quantitative basis. Other quantitative analysis methods are used to develop more precise predictive models to determine the potential for digital risk events, such as product/service liability, fraud or theft.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

CIO Business Intelligence

JUNE 7, 2022

While the previous six methods seek to analyze quantitative data (data that can be measured), sentiment analysis seeks to interpret and classify qualitative data by organizing it into themes. It is often used to understand how customers feel about a brand, product, or service. Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

Sisense

MARCH 24, 2020

With smart dashboards and KPIs , the BraunAbility team is able to tie discount data from marketing platforms to sales results in order to more effectively measure the impact of any discount. Automate, track, and predict positive outcomes. Efficiently focus resources. Insights over instinct.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

DataRobot

NOVEMBER 29, 2021

As with model accuracy, there are many metrics one can use to measure bias. Bias by representation examines if the outcomes predicted by the model vary for protected features. Together, these technologies help ensure that models are explainable and trusted. Watch webinar with DataCamp on Responsible AI.

Technology 52

Technology Metrics Predictive Modeling Modeling 52

Smart Data Collective

AUGUST 7, 2019

Tracking and measuring escalation arising from problems with a specific product or service. Creating predictive models. Some of the practical applications of CRM analytics include: Creating customer groups. Analysis of profitability and customer value. Personalizing marketing campaigns.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. It will be iterative.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. The Karl Pearson’s correlation measures the degree of linear relationship between two variables. A positive correlation indicates the extent to which those variables increase or decrease in parallel.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. Business Problem: An agriculture production firm wants to predict the impact of the amount of rainfall, humidity, and temperature on the yield of particular crop. Use Case – 1.

Business Analysis 40

Business Analysis IT Sales Statistics 40

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 78

Risk Modeling Management Metadata 78

Smarten

JUNE 29, 2018

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

O'Reilly on Data

DECEMBER 12, 2019

Residual analysis is another well-known family of model debugging techniques. Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. Interpretable ML models and explainable ML. Residual analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

FineReport

APRIL 9, 2024

Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52