Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Jet Global

FEBRUARY 14, 2022

Greater scrutiny of multinational organizations’ tax arrangements following the pandemic will be driven by governments’ ambition to gather optimum tax dollars to pay for higher levels of borrowing. International tax regimes are also undergoing significant change, driven by the need for more transparency and accountability.

Finance 52

Finance Recreation/Entertainment Software Reporting 52

IBM Big Data Hub

JUNE 26, 2023

The auto parts manufacturers caught in it are facing the problem of how to survive and grow against the increasingly fierce competition. The Intelligent Manufacturing Department of Yanfeng Auto hopes to work with IBM CSM team to explore the way of building up its intelligent inventory platform with predictive capabilities.

Manufacturing 67

Manufacturing Software Optimization Digital Transformation 67

Cloudera

OCTOBER 17, 2023

The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. Cloudera’s perspective: Cloudera saw the increasing volumes of data our customers were moving via streams early on. Also, why solve for connectivity and data distribution again if it’s already solved for? What about data lock-in?

Data-driven 77

Data-driven Enterprise IoT Data Warehouse 77

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 83

IT Data Governance Modeling Cost-Benefit 83

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. In a previous post , we talked about applications of machine learning (ML) to software development, which included a tour through sample tools in data science and for managing data infrastructure.

Machine Learning 261

Machine Learning Software Testing Metadata 261