IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Manufacturers can analyze a failed component on an assembly line and determine the reason behind its failure. Those who work in the field of data science are known as data scientists.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

DataRobot Blog

JULY 28, 2022

The customer’s challenge was to detect predictive signs in the manufacturing process of a certain material. If the various observed values measured by sensors in the equipment could be predicted, it would be possible to control manufacturing parameters and reduce fuel costs.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. Manufacturing – Has the cycle time or defect instance been reduced following a particular process change. Therefore, the treatment was effective.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

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

Smarten

JUNE 26, 2018

For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JULY 10, 2018

Use Case(s): Predict if loan default based on attributes of applicant; predict likelihood of successful treatment of new patient based on patient attributes and more. Descriptive Statistics: What is Descriptive Statistics and How Do You Choose the Right One for Enterprise Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 29, 2018

For example, vehicle dealerships and manufacturers have cross marketing campaigns with oil and gas companies for obvious reasons. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

CIO Business Intelligence

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates. One simple use of generative AI, for instance, requires teaching agents how to list their properties in more descriptive ways than in the past.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Let’s take the manufacturing industry, for example.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Jet Global

MAY 1, 2023

And Manufacturing and Technology, both 11.6 The sample included 1,931 knowledge workers from various industries, including financial services, healthcare, and manufacturing. Internal Application Consider this second example: an internal manufacturing application that helps process $2 million worth of product a year.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52