Smart Data Collective

SEPTEMBER 26, 2021

Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making. Working with massive structured and unstructured data sets can turn out to be complicated.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Matplotlib: This open source plotting library for Python offers tools for creating static, animated, and interactive visualizations.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. At IBM, we strongly believe that open technologies are the required foundation of the digital twin.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Dashboards.

Analytics 52

Analytics Slice and Dice Key Performance Indicator Business Intelligence 52

Ontotext

MAY 25, 2023

For example, knowledge graphs can be used to provide structured data to train LLM, and LLM can be used to extract information from unstructured data sources such as text and images, which can then be incorporated into knowledge graphs. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 14, 2024

Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions. Many stock market transactions use ML with decades of stock market data to forecast trends and ultimately suggest whether and when to buy or sell.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

IBM Big Data Hub

JULY 6, 2023

Challenges of machine learning There are some ethical concerns regarding machine learning, such as privacy and how data is used. Unstructured data has been gathered from social media sites without the users’ knowledge or consent.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

AUGUST 28, 2023

Text representation In this stage, you’ll assign the data numerical values so it can be processed by machine learning (ML) algorithms, which will create a predictive model from the training inputs. Popular algorithms for topic modeling include Latent Dirichlet Allocation (LDA) and non-negative matrix factorization (NMF).

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

datapine

DECEMBER 4, 2019

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

AUGUST 8, 2024

Cloudera is excited to announce a partnership with Allitix, a leading IT consultancy specializing in connected planning and predictive modeling. This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it.

Enterprise 72

Enterprise Predictive Modeling Cost-Benefit Unstructured Data 72

AWS Big Data

JULY 28, 2023

Amazon Redshift offers a powerful analytics solution that provides access to insights for users of all skill levels.

Data Lake 89

Data Lake Data Governance Data Warehouse Modeling 89

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. API Data Pipelines : These pipelines retrieve data from various APIs and load it into a database or application for further use.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52