Big Data Events IoT Prescriptive Analytics 
Rocket-Powered Data Science
MARCH 19, 2021
One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). One group has declared , “IoT companies will dominate the 2020s: Prepare your resume!” trillion by 2030.
Rocket-Powered Data Science
JULY 19, 2023
What could be faster and easier than on-prem enterprise data sources? b) Precursor Analytics – the use of AI and machine learning to identify, evaluate, and generate critical early-warning alerts in enterprise systems and business processes, using high-variety data sources to minimize false alarms (i.e.,
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Rocket-Powered Data Science
JULY 14, 2023
When data science was in its “early days” within businesses, the data scientists mostly worked offline with static sources (like databases or web-based reports) to build and test analytics models for potential deployment in the enterprise.
Rocket-Powered Data Science
OCTOBER 6, 2023
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?
datapine
NOVEMBER 27, 2019
That way, any unexpected event will be immediately registered and the system will notify the user. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. 4) Predictive And Prescriptive Analytics Tools. Prescriptive analytics goes a step further into the future.
Expert insights. Personalized for you.
259 
Let's personalize your content