Smart Data Collective

MARCH 13, 2020

But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. Phase 4: Knowledge Discovery. One way to ensure optimal speed and efficiency is to leverage the correct mix of hardware and software. 5 Tips for Better Data Science Workflows.

Data Science 120

Data Science Key Performance Indicator Knowledge Discovery Visualization 120

FineReport

DECEMBER 19, 2019

Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. For super rookies, the first task is to understand what data analysis is.

Knowledge Discovery 98

Knowledge Discovery Visualization Data mining Reporting 98

AWS Big Data

SEPTEMBER 26, 2024

Download the article Prompt engineering best practices to avoid prompt injection attacks on modern LLMs and upload it to the raw prefix. Test the solution In this demo, we can initiate the workflow by uploading documents to the raw prefix. In our example, we use PDF files from the AWS Prescriptive Guidance portal.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

Ontotext

JULY 29, 2021

After the design of this “architectural plan untested by anything except thought experiments”, in 2001 the Semantic Web seized the public’s imagination with a seminal article featured in Scientific American called: The Semantic Web: A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

AUGUST 26, 2021

And query time reasoning just doesn’t work on big datasets because you can’t optimize the queries. The second Ontotext webinar Graph Analytics on Company Data and News focuses on the power of cognitive graph analytics to create links between various datasets and to lead to powerful knowledge discovery.

Analytics 52

Analytics Knowledge Discovery Enterprise Optimization 52

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge.

Modeling 64

Modeling Knowledge Discovery Optimization Enterprise 64

The Unofficial Google Data Science Blog

JULY 22, 2020

Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic. Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. An efficient bandit algorithm for realtime multivariate optimization." 2] Scott, Steven L. 2015): 37-45. [3]

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96