Ontotext

DECEMBER 1, 2023

He outlined the challenges of working effectively with AI and machine learning, where knowledge graphs are a differentiator. In an engaging narrative built on the premise that most organizations are not ready for a knowledge graph, Lance talked about the usual pitfalls when building such a solution.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Ontotext

MARCH 8, 2023

Several factors are driving the adoption of knowledge graphs. Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? Imagine that you want to optimize your supply chain using machine learning. Unlock the full potential of your data!

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

Domino Data Lab

JUNE 15, 2021

Advanced data wrangling and preprocessing pipelines A Java UDF can use a wider range of techniques for data cleansing, feature engineering, and mode advanced preprocessing, compared to what is available in SQL. Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69