Machine Learning Optimization Prescriptive Analytics Strategy 
Cloudera
AUGUST 25, 2020
Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models. You can catch-up and read part 1 of the series, here.
CIO Business Intelligence
FEBRUARY 16, 2023
The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As For that, he relied on a defensive and offensive metaphor for his data strategy. The offensive side? The company’s Findability.ai
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. SQL manages and retrieves data from databases, handling larger datasets.
DataRobot Blog
MARCH 15, 2022
The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. The push to predictive and prescriptive analytics requires strategy and C-Suite ownership.
AWS Big Data
MARCH 26, 2024
In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.
BizAcuity
MARCH 31, 2022
AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.
Sisense
JUNE 30, 2020
When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. A simple example would be the analysis of marketing campaigns.
Expert insights. Personalized for you.
71 
Let's personalize your content