Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. What do we mean by content aware knowledge graphs? it made them up).

Enterprise 59

Enterprise Management Metadata Modeling 59

Smart Data Collective

AUGUST 18, 2021

Trullion even enables managers to authorize tagging functions and supports several authorization rounds. Image source: Trullion. Image source: Trullion. Image source: LeaseQuery. Image source: softwareconnect.com. Image source: Visual Lease. Image source: softwareconnect.com.

Data-driven 121

Data-driven Software Big Data Visualization 121

IBM Big Data Hub

OCTOBER 16, 2023

Companies set up chatbots there to ensure fast responses, provide carousels of images and call-to-action buttons, help customers find nearby options or track shipments, and allow secure purchases. ML classification algorithms are also used to label events as fraud, classify phishing attacks and more.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

IBM Big Data Hub

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Robots handle and move physical objects.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Insight

MARCH 12, 2020

Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. for example genre tags, ratings, and sales. For my purposes, the most interesting data on Goodreads comes in the form of genre/content tags. a softmax function for classification).

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

JUNE 4, 2021

Classification (Supervised). In classification, the category of observation is predicted. The below image shows a group of clusters along with their centers. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Image recognition. Anomaly Detection (Semi-Supervised).

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

OCTOBER 24, 2023

For this article, we’ll focus on embedding models that work with text, although embedding models can also be used to organize information about other types of media, like images or songs. Last but not least, tags allow the system to better understand how different information in your dataset is related.

Cost-Benefit 121

Cost-Benefit Modeling Data Quality Statistics 121

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 93

Data Governance Unstructured Data Metadata Data Lake 93

Edwin Chen

JANUARY 2, 2012

Imagine you have a sequence of snapshots from a day in Justin Bieber’s life, and you want to label each image with the activity it represents (eating, sleeping, driving, etc.). One way is to ignore the sequential nature of the snapshots, and build a per-image classifier. Part-of-Speech Tagging. How can you do this?

Snapshot 75

Snapshot Modeling Optimization Machine Learning 75

Alation

MARCH 1, 2022

In particular, attractive background images in the homepage header can be set, similar to a Linkedin profile header image. APIs are available for domains, search, authentication, lineage and relational database integrations, flags & tags, and more. Sync Snowflake Tags. Yet manual classification can gobble time.

Data Warehouse 52

Data Warehouse Data Lake Risk Data-driven 52

Data Science 101

OCTOBER 12, 2023

“In general, the most common use of the work I do is to remove bad stuff from the Internet or tag it as suspicious.” Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. We’re better at images, and at several examples of text. ” — Lucas A.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

Domino Data Lab

MARCH 6, 2019

Their talk Deep Learning on Imagery and Text , as the name implies, focused on the latest developments in deep learning for dealing with image and text data. Deep learning is now frequently used for tasks such as image classification, object detection, image segmentation and image generation.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Ontotext

MAY 22, 2023

Still, LLMs have a role to play – they can make our text analysis pipelines much more efficient for tasks like sentiment analysis, classification and event detection. We use other deep learning techniques for such tasks. We will demonstrate the results of such use of LLMs soon.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59