CIO Business Intelligence

SEPTEMBER 29, 2023

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Ontotext

FEBRUARY 14, 2024

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Insight

MARCH 12, 2020

Using nothing more than a book’s synopsis, the AIgent can surface similar books, genre tags, and sales proxies. The former is a short block of text, generally between 50 and 400 words in length. for example genre tags, ratings, and sales. Likewise, it will help writers identify agents who are a good fit.

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

AUGUST 25, 2021

Typical issues with text searches include incorrect spelling or unique names that customers can’t remember. Image Tagging. Like visual search, image tagging also uses visual recognition technology. Here, AI will generate classifications related to the product you’re viewing. 8 Ways to Use AI for eCommerce. Image source.

Visualization 132

Visualization Sales Marketing Technology 132

IBM Big Data Hub

OCTOBER 16, 2023

Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. This communication can involve speech recognition, speech-to-text conversion, NLP, or text-to-speech. 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

Ontotext

MAY 26, 2021

As Wikipedia is not only the biggest encyclopedia, but its contributors adhere to a strict editorial process, each industry tag is usually assigned by one person and reviewed by another. How does the Gold Standard help Information Extraction from text? White Paper: Text Analysis for Content Management. Gold Standard takeaways.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

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?

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

FEBRUARY 14, 2024

With text to speech and NLP, AI can respond immediately to texted queries and instructions. When someone asks a question via speech or text, ML searches for the answer or recalls similar questions the person has asked before. Gear up robotics AI is not just about asking for a haiku written by a cat.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

AWS Big Data

OCTOBER 25, 2023

Set up the VPC flow logs to publish logs to an S3 bucket in text format. Prerequisites Complete the following prerequisite steps: We will be using a VPC for demonstration purposes for generating data. Make a note of the S3 bucket name you configured to use in later steps.

Analytics 119

Analytics Data Processing Optimization Metrics 119

Ontotext

JULY 6, 2023

These include information about companies, industries (from business classifications such as NAICS, GICS), assets, people and locations. This text signal led to the discovery that he was a childhood friend of Vladimir Putin, which made him a very risky person for business transactions.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Smart Data Collective

JULY 27, 2021

ABAP has a storied history, but also comes with a heavy price tag,” stated industry analyst Brian Fitzgerald. “As This information includes the Description, Help Text, Business Status, Security Classification, and Compliance Group. As with Salesforce’s APEX, SAP’s ABAP is what drives the CRM’s extremely complex ecosystem.

Big Data 130

Big Data Snapshot IT Dashboards 130

Smart Data Collective

JUNE 4, 2021

Classification (Supervised). In classification, the category of observation is predicted. It involves both text and speech data. Sentiment analysis is the determination of the attitude and emotion in text. Facebook and google photos identify people from images and recommend tags. Sentiment analysis.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

MAY 16, 2023

They determined and executed a ‘store versus destroy’ strategy for paper documents based on client classification and record retention schedules 4. ● Using optical character recognition technology 1 3 , documents are searchable by text or index, available for many file types and in many languages. Time to play ‘what’s in the box?’

Digital Transformation 81

Digital Transformation Uncertainty Risk Cost-Benefit 81

AWS Big Data

MARCH 1, 2024

Data with this secured data classification is stored in encrypted form both in the data warehouse and in their data lake. Only users with required permissions are allowed to access data in clear text. It provides fine-grained access control, tagging ( tag-based access control (TBAC) ), and integration across analytical services.

Data Lake 98

Data Lake Data Warehouse Management Risk 98

AWS Big Data

SEPTEMBER 29, 2023

You can choose the default AWS Glue classifier for general-purpose XML classification. This is ideal for non-standard XML formats or when you need detailed control over classification. The following screenshot shows an example of an XML file with tags. This tag contains an array of row tags, which are nested within it.

Metadata 65

Metadata Visualization Data-driven Optimization 65

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

Ontotext

MAY 22, 2023

And getting a free text summary of the results, instead of just a table. Think of enrichment of graphs using public LLM services via relation extraction from text. Click To Tweet How will LLM impact text analysis and content analytics? Let me share a few examples of how LLMs help knowledge graphs. I am very optimistic!

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

MARCH 22, 2024

Search tag & model (STAM) : Text-based analytics tool for quick analysis of a huge number of existing tests to identify redundancy and identify key attributes for the optimization journey. Requirement analytics (RA) : NLP-based tool for analysis of requirements to identify ambiguity, drive in shift left and determine complexity.

Testing 80

Testing Optimization Software Risk 80

Domino Data Lab

MARCH 6, 2019

This blog recaps Miner & Kasch ’s first Maryland Data Science Conference hosted at UMBC and dives into the Deep Learning on Imagery and Text talk presented by Florian Muellerklein and Bryan Wilkinson. Deep Learning on Imagery and Text. This makes it trivial to appropriately label each image with the correct classification.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs coupled with text analysis (TA) is a proven solution for preserving institutional memory through a passive collection of knowledge, enabling users to bring value to the company and preserve institutional memory without the burden of an additional and highly tedious data entry task.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Alation

MARCH 24, 2022

Some mitigation controls that help protect sensitive information include: Multi-factor authentication (MFA) prevents access to resources until a user proves their identity using a combination of methods, such as entering a password plus a code provided via text message. Access controls controls user access to data through permissions.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

Alation

OCTOBER 4, 2022

PII data is in clear text and available to significant portion of the organization. A data catalog can automate many manual processes, including data identification, tagging, and classification. You lack universally agreed-upon definitions for basic terms like “customer”. Leverage A Data Catalog To Help Streamline Governance.

Insurance 52

Insurance Data Governance Risk Strategy 52