IBM Big Data Hub
SEPTEMBER 19, 2023
Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.
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. 4) Predictive And Prescriptive Analytics Tools. Augmented Analytics.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
datapine
DECEMBER 4, 2019
Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.
Rocket-Powered Data Science
JULY 19, 2023
I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.
IBM Big Data Hub
JANUARY 25, 2024
Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? The post MRO spare parts optimization appeared first on IBM Blog. It can be if you rely on a spreadsheet, physical asset counts or solely on condition monitoring. Results may vary.
Smarten
MAY 29, 2023
World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If
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. appeared first on IBM Blog.
Expert insights. Personalized for you.
79 
Let's personalize your content