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. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

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

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

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

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

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. They are used in everything from robotics to tools that reason and interact with humans. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model.

Risk 71

Risk Modeling Management Metadata 71

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

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Insight

AUGUST 5, 2020

While most of these signals are implicitly communicated during human-to-human interaction, we do not have a method for quantifying feeling and mood through individual behavioral signals expressed on the digital platform. Prediction models An Exploratory Data Analysis showed improved performance was dependent on gender and emotion.

Predictive Modeling 98

Predictive Modeling Statistics Modeling Measurement 98

O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders).

Cost-Benefit 294

Cost-Benefit Advertising ROI Machine Learning 294

Domino Data Lab

NOVEMBER 17, 2020

High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., Predictive models fit to noise approach 100% accuracy. For example, it’s impossible to know if your predictive model is accurate because it is fitting important variables or noise.

Statistics 131

Statistics Measurement Testing Predictive Modeling 131

CIO Business Intelligence

AUGUST 15, 2023

In increasingly politicized times, easily performing RLAs can provide a measure of confidence to the interested voter that elections are being run properly.” Additionally, AI capabilities enable the avatar to adapt to various scenarios, respond to user input, and provide a human-like interaction.

IT 97

IT Manufacturing IoT Cost-Benefit 97

CIO Business Intelligence

MAY 10, 2022

Salesforce Interaction Studio. Salesforce Interaction Studio is a personalization and interaction management solution for the Salesforce Marketing Cloud. Treasure Data CDP is a data science CDP built for predictive modeling and advanced analytics. It prioritizes speed over advanced segmentation and scalability.

Advertising 111

Advertising Interactive Marketing Data Integration 111

CIO Business Intelligence

JUNE 22, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Just as important is the dimension of data accuracy or other measures of performance.

IoT 93

IoT IT Manufacturing Internet of Things 93

Cloudera

APRIL 27, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. Just as important is the dimension of data accuracy or other measures of performance.

IoT 102

IoT IT Manufacturing Internet of Things 102

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Take, for instance, how each field views the provenance of the training data when building predictive models. For most of ML, the training data is a given, often presumed to be representative of the data against which the prediction model will be deployed, but not much else.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Cloudera

NOVEMBER 2, 2020

the speed at which queries run is faster – small, selective queries are measured in 10s or 100s of milliseconds; large, scan- or compute-heavy queries are processed at very high bandwidth. Fast ingest of streaming data, interactive queries, very high scale. Mutability, random access, fast scans, interactive queries.

Data Warehouse 99

Data Warehouse Optimization Dashboards Interactive 99

Alation

APRIL 14, 2022

Supports the ability to interact with the actual data and perform analysis on it. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Procedural methods can trace other models, but ML is quite a bit mysterious in its operations. Parametrization. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

NOVEMBER 14, 2023

The same data foundation built on Kinesis Data Streams is used to continuously analyze how users interact with the generated content and helps the product team fine-tune the application. These services help customers bring data to their applications and models, making them smarter.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Domino Data Lab

AUGUST 20, 2019

While it has limitations, BMI is quickly calculated from body weight and height and serves as a surrogate for a characteristic that is very hard to accurately measure: proportion of lean body mass. Sometimes these methods are combined: we can use random feature selection to build models and then combine the resulting models.

Testing 68

Testing Modeling Interactive Measurement 68

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. In looking at the results of the regression, it does appear that the variable TOTAL_MILLIONS, which is total attendance in millions is statistically significant (measured in a P value of less than.05) The R-squared value of.282

Statistics 59

Statistics Machine Learning Testing Modeling 59

Cloudera

MAY 23, 2024

These two factors have led to development of an ecosystem of tooling software for managing LLM interactions (e.g. Traditionally, models are measured by comparing predictions with reality, also called “ground truth.” Langchain) and LLM evaluations (e.g.

Management 82

Management Metrics Data Processing Data Lake 82

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Consumers have grown more and more immune to ads that aren’t targeted directly at them. The results? 4) Improve Operational Efficiency.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

JUNE 25, 2018

Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data. This measurement can be biased in a case where there are a significant number of outliers present in the data. Skewness is a measure of symmetry.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. Skater uses different techniques depending on the type of the model (e.g. regression, multi-class classification etc.),

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Depict Data Studio

SEPTEMBER 17, 2019

We’ll also measure your draft’s reading grade level and practice translating the research methods terminology we learned in grad school for the non-researchers who are using our data. . Isaac has over 20 years of performance management, evaluation, and outcome measurement experience. Before/After Data Visualization Makeovers.

Visualization 40

Visualization Consulting Dashboards Reporting 40

Smarten

DECEMBER 3, 2023

As Springboard notes, ‘Augmented Analytics is an example of human machine interaction in the data science field.’ The augmented analytics solution is typically supported by natural language processing (NLP) to support users in the query and results process. What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52