Descriptive Analytics Machine Learning Reference 
Rocket-Powered Data Science
OCTOBER 6, 2023
In the enterprise, sentinel analytics is most timely and beneficial when applied to real-time, dynamic data streams and time-critical decisions. The analytics triage is critical, to avoid alarm fatigue (sending too many unimportant alerts) and to avoid underreporting of important actionable events. Pay attention! ” “91.9%
CIO Business Intelligence
JANUARY 20, 2023
BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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 analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.
IBM Big Data Hub
JULY 27, 2022
Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.
datapine
JANUARY 31, 2022
Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. 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.
Domino Data Lab
JUNE 2, 2019
Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. and … my favorite line from Rev 2 … (wait for it) ….
Business Over Broadway
MARCH 13, 2019
IBM is using the power of its Watson Studio platform to extend the power of AI to people who fall outside the realm of data science, machine learning and AI experts. IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. The first step is to load the data into Watson Studio.
Expert insights. Personalized for you.
157 
Let's personalize your content