CIO Business Intelligence

JUNE 20, 2022

IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. The platform tier encapsulates the common entry point — an IoT event hub that processes messages sent to the cloud from the edge in real-time.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

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

Smart Data Collective

AUGUST 7, 2019

With the right log management tool, IT admins can easily access ready-made dashboards and generate reports which visualize essential events that lead to pre-emptive actions and sound decisions. Creating predictive models. Customer data platform. Analysis of profitability and customer value.

Data Analytics 99

Data Analytics Analytics Big Data Data Lake 99

CIO Business Intelligence

OCTOBER 12, 2023

It’s what we won the award for at the CIO 100 Symposium & Awards event this year. We made that visually appealing to people. So you’re expected to do more in your role as the CIO, and I think that’s why the role is changing. What’s the story you’re writing around data and AI right now? It’s pretty cool one.

IoT 126

IoT Manufacturing Strategy Modeling 126

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? 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.

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. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Smarten

JUNE 29, 2018

The Paired Sample T Test used to determine whether the mean of a dependent variable and is particularly useful in measuring results before and after a particular event, action, process change, etc. Based on this value, grocery store manager can get to know if the campaign has been effective. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 326

Machine Learning Predictive Modeling Software Modeling 326

AWS Big Data

NOVEMBER 14, 2023

NHL EDGE technology in the puck and players’ sweaters (jerseys) generate thousands of data points every second for the NHL, which can be analyzed by AWS to predict likely outcomes for key events like face-offs. Canva is an online design and visual communication platform. They just turn on a data stream and start ingesting data.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

NOVEMBER 2, 2020

Ingest 100s of TB of network event data per day . real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). Several billion ad impression events per day are streamed in and stored. Time Series and Event Analytics Specialized RTDW. 200,000 queries per day.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

MAY 10, 2022

They tend to be more “pure-play” platforms geared for gathering and organizing first-party data, so frequently need to be used with additional data visualization platforms. CDP smart hubs: These platforms emphasize marketing orchestration and personalization, with the ability to time and target responses based on user behavior and event data.

Advertising 120

Advertising Interactive Marketing Data Integration 120

Sisense

SEPTEMBER 25, 2020

No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Linear regression is a form of supervised learning (or predictive modeling). The aim is to create a robust model that avoids both high variance and high bias.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

Alation

APRIL 14, 2022

Visual Profiling. This provides the facility a time or event for a job to run and offers useful post-run information. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Pattern Matching. A useful feature for exposing patterns in the data. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Occam's Razor

NOVEMBER 18, 2014

Like a vast majority on planet Earth, I love data visualizations. A day-to-day manifestation of this love is on my Google+ or Facebook profiles where 75% of my posts are related to my quick analysis and learnings from a visualization. Data visualized is data understood. But for a visual person like me, this is the ah-ha moment.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Smarten

JUNE 29, 2018

Support: The support of a rule x -> y (where x and y are each items/events etc.) While there are numerous metrics and factors used in this technique, for this example, we will only consider two factors namely, Support and Confidence. is defined as the proportion of transactions in the data set which contain the item set x as well as y.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

The Unofficial Google Data Science Blog

MARCH 31, 2016

Random Effect Models We will start by describing a Gaussian regression model with known residual variance $sigma_j^2$ of the $j$th training record's response, $y_j$. Often our data can be stored or visualized as a table like the one shown below. In this example we have three features/columns named "a", "b", and "c".

Modeling 40

Modeling Statistics Advertising Testing 40

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. If anything, this focus has shifted to the ML or predictive model.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Smarten

APRIL 19, 2022

Smarten Sentiment Analysis provides a powerful Artificial Intelligence (AI) technique to analyze customer feedback, and understand attitudes about products, events, trends, etc. “Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Domino Data Lab

AUGUST 20, 2019

In a curious twist of events, standardization doesn’t change the overall shape of the data—it may not look the same at first sight, but here’s another take. Visually, the shape has relatively flat sides. We may want to visualize the relationship between the encoding and the original species values. Discretization.

Testing 68

Testing Modeling Interactive Measurement 68

DataRobot Blog

JUNE 24, 2022

In addition, traditional analytical approaches are not flexible enough in generating alternative scenarios that allow investment analysts to test market shifts or to compare predictive-model outputs to the forecasts of traditional sources of market information. what-if scenarios). Forecasting Prime House Prices. city level).

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Smarten

MAY 24, 2018

ElegantJ BI is proud to be a Silver Sponsor at this important event. ElegantJ BI CEO, Kartik Patel says, “We look forward to demonstrating our Smarten analytics software solution, and to seeing new and familiar faces, as we welcome analytics experts and customers to this exciting event.”.

Analytics 40

Analytics Data Analytics Data mining Predictive Modeling 40

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Domino Data Lab

AUGUST 22, 2019

In any event, to remove all of the elements of stpwrds from a sentence we could use a list comprehension as we do in Example 11.2, GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Visualizing data using t-SNE. Natural Language Processing.] Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately. Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

SEPTEMBER 1, 2023

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users. Privacy Policy.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52