Smarten

MAY 17, 2023

Create a Sandbox Environment If you are in the business of technology, you probably have a robust sandbox environment in which you can use new tools and leverage opportunities with test data to understand the value of tools like Azure OpenAI, GPT 3.x Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

Ontotext

FEBRUARY 14, 2024

If you ask it to generate a response, and maybe it hallucinates, you can then constrain the response it gives you, from the well-curated data in your graph. Data quality Knowledge graphs thrive on clean, well-structured data, and they rely on accurate relationships and meaningful connections. Start with “why?”

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Cloudera

NOVEMBER 25, 2020

A discovery data warehouse is a modern data warehouse that easily allows for augmentation of existing reports and structured data with new unstructured data types, and that can flexibly scale with volume and compute needs.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Ontotext

NOVEMBER 2, 2023

This shift from relational to graph approach has been well-documented by Gartner who advise that “using graph techniques at scale will form the foundation of modern data and analytics” and “graph technologies will be used in 80% of data and analytics innovations by 2025.”

IT 69

IT Cost-Benefit Data-driven Technology 69

FineReport

APRIL 24, 2024

Emotional Appeal : Infusing narratives with emotional elements helps in establishing connections with the audience, eliciting empathy, and driving home the significance of the data being presented. Experimenting with new tools broadens your skill set and enables you to stay at the forefront of data visualization trends.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

O'Reilly on Data

APRIL 19, 2021

This makes sense, given that we don’t see heavy usage of tools for model and data versioning. We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. We also asked what kinds of data our “mature” respondents are using. form data).

Enterprise 364

Enterprise Risk Modeling Manufacturing 364

Corinium

APRIL 25, 2019

It definitely depends on the type of data, no one method is always better than the other. For a large volume of structured data, for example, a customer master or data warehouse, where there are many stakeholders in your organization who need to see different subsets, tokenization is generally better.

Insurance 150

Insurance Risk IoT Data-driven 150

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. For well-defined business processes, we have conventional computer systems.

Machine Learning 52

Machine Learning Visualization Data Science Data-driven 52

Cloudera

SEPTEMBER 17, 2020

A large oil and gas company was suffering over not being able to offer users an easy and fast way to access the data needed to fuel their experimentation. To address this, they focused on creating an experimentation-oriented culture, enabled thanks to a cloud-native platform supporting the full data lifecycle.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

Ontotext

DECEMBER 6, 2024

Building a RAG prototype is relatively easy, but making it production-ready is hard with organizations routinely getting stuck in experimentation mode. Out of the box RAG struggles to connect dots, for questions that require traversing disparate chunks of data. GraphDB allows experimentation and optimization of the different tasks.

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59