Insight

AUGUST 5, 2020

This project was completed during the Summer 2020 session of Insight Fellows Program. This created a summary features matrix of 7472 recordings x 176 summary features, which was used for training emotion label prediction models. Improvements in AUC values across models were also accompanied by increased precision?—?up

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. There are a number of open-source ML platforms like KNIME that can also be leveraged to detect and predict suspicious behavior.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Predictive modeling for flagging suspicious activity. Steps to building a highly accurate predictive model for AML. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

DataRobot

OCTOBER 19, 2021

Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs). When these backlogs are not caught and corrected, these reporting issues can cause modeling errors resulting in untrustworthy forecasts.

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

O'Reilly on Data

MAY 18, 2020

Garbage in, garbage out still holds in 2020. To date, at least 1,200 reports of AI incidents have been recorded in various public and research databases. All predictive models are wrong at times?—just As the renowned statistician George Box once quipped , “All models are wrong, but some are useful.”

Risk 357

Risk Modeling Data Processing Software 357

Smarten

JANUARY 24, 2019

Business users can leverage machine learning and assisted predictive modeling to achieve the best fit and ensure that they use the most appropriate algorithm for the data they wish to analyze.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

Smarten

MARCH 19, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2020, augmented analytics will be a dominant driver of new purchases of analytics and BI as well as data science and machine learning platforms, and of embedded analytics.

ROI 40

ROI Analytics Cost-Benefit Predictive Modeling 40

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. .

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Smarten

FEBRUARY 7, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

BI-Survey

JANUARY 29, 2023

In the context of corporate planning, predictive planning and forecasting, it is therefore a major trend to use predictive models based on statistical methods and ML for forecasting and thorough analysis. Managers need to approve and commit resources, but also understand the benefits and limitations of predictive models.

Forecasting 52

Forecasting Predictive Modeling Measurement Finance 52

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

CIO Business Intelligence

MARCH 22, 2023

Up to 44% of data is reported to be inaccessible in an organization. Instead of sending data to a central server for processing, the training occurs locally on each device, and only model updates are transmitted to a central server. It is often used to train machine learning models and protect sensitive data in healthcare and finance.

Machine Learning 100

Machine Learning Cost-Benefit Modeling Risk 100

Smarten

FEBRUARY 28, 2019

Augmented Analytics includes Assisted Predictive Modeling, Smart Data Visualization, Self-Serve Data Preparation, Clickless Analytics, NLP Search Analytics, Automated Machine Learning (AutoML), which enables faster, or accurate analysis across the organization, optimizes resources and improves the value of each team member.

Data Science 40

Data Science IT Machine Learning Predictive Modeling 40

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. For example, hotels can use data to identify demand patterns and adjust room rates accordingly.

Data Analytics 52

Data Analytics Analytics ROI Data Governance 52

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Alation

MAY 2, 2023

Data analytics techniques, such as machine learning (ML), artificial intelligence (AI), and predictive modeling, can help businesses extract valuable insights from this data to improve operations and customer experience. For example, hotels can use data to identify demand patterns and adjust room rates accordingly.

Data Analytics 40

Data Analytics Analytics ROI Data Governance 40

Smarten

NOVEMBER 19, 2018

Predictive analytics can help a business understand the buying behavior of its customers and prospects and plug n’ play predictive and forecasting tools help businesses to create Citizen Data Scientists and establish metrics and goals across the enterprise for uniform execution and understanding of business objectives.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52