Ontotext

MAY 22, 2023

Doug Kimball : Using our knowledge graph, you can develop more complex analytics, such as data mining, Natural Language Processing (NLP) and Machine Learning (ML). With traditional data management systems, that can be difficult or in some cases can lead to more work than results. How is what Ontotext does different from a CMS?

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Decision Management Solutions

AUGUST 18, 2020

Mike Gualtieri and Boris Evelson of Forrester recently published a great new paper Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms (subscription or payment required) and you should get access to this paper and read it now. Use data mining techniques to classify and categorize your customers and transactions.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 55

Data Science Machine Learning Cost-Benefit Deep Learning 55

Domino Data Lab

MAY 20, 2021

This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Data mining for direct marketing: Problems and solutions. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Morgan Kaufmann Publishers Inc.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

JULY 22, 2020

One reason to do ramp-up is to mitigate the risk of never before seen arms. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity. Citizen Data Scientists.

Analytics 40

Analytics Predictive Analytics Modeling Data-driven 40

Jet Global

MAY 9, 2024

This data is transformed, cleansed, and loaded into a data lake or warehouse for analysis. Finance organizations can then leverage advanced analytics and machine learning applications to gain valuable insights for strategic planning and risk management.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Rita Sallam

JULY 22, 2016

The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” CFO Priorities Manage expenses and cash flow Enable profitable growth Contain risk Plan for the future Connect the Dots Do the math. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52