Smart Data Collective

JUNE 29, 2022

Here are 10 essential strategies for email marketing success with data analytics. You will need to test different CTAs, which is going to require data analytics tools. You want to use these analytics interfaces to optimize your CTAs for the best CTR and conversion rates. Use Alt Text for Images. Always Provide Value.

B2B 106

B2B Data-driven Marketing Strategy 106

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? Text analysis takes it a step farther by focusing on pattern identification across large datasets, producing more quantitative results. How does text mining work?

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

AWS Big Data

JULY 28, 2023

Many customers are looking for best practices to keep their Amazon Redshift analytics environment compliant and have an ability to respond to GDPR right to forgotten requests. Tags provide metadata about resources at a glance. Redshift resources, such as namespaces, workgroups, snapshots, and clusters can be tagged.

Snapshot 81

Snapshot Metadata Measurement Data Warehouse 81

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. If you click one of the labels, the platform will direct you to visually similar results under that tag. Image source.

Visualization 134

Visualization Sales Marketing Technology 134

Smart Data Collective

FEBRUARY 15, 2022

As a result, they can index countless web pages that don’t have the “nocrawl” attribute in their meta tags. They can identify synonyms and look for similar contextual and patterns throughout the text. It can detect even the most heavily disguised and modified forms of paraphrasing to text.

Machine Learning 115

Machine Learning Deep Learning Software Technology 115

Ontotext

NOVEMBER 5, 2019

Ontotext Platform synergizes knowledge graphs and text analysis as follows: Knowledge graphs can improve text analysis performance. Big knowledge graphs provide rich semantic profiles of all the popular concepts in a given domain and allow those to be more accurately recognized in text. nouns, verbs, adjectives, etc.)

IT 69

IT Technology Modeling Analytics 69

Ontotext

FEBRUARY 16, 2023

An area of AI that Ontotext has been working on for over 20 years is text analytics. In text analytics, the human benchmark is a set of documents manually annotated by human experts. You can find readily available annotated datasets for common tasks such as part of speech tagging, named entity recognition (e.g.,

Metadata 59

Metadata Measurement Metrics Modeling 59

Rocket-Powered Data Science

FEBRUARY 15, 2023

Since ChatGPT is built from large language models that are trained against massive data sets (mostly business documents, internal text repositories, and similar resources) within your organization, consequently attention must be given to the stability, accessibility, and reliability of those resources.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

AWS Big Data

APRIL 18, 2024

The platform ingests log files in JSON, text, and Common Event Format (CEF) formats. Machine learning and other data analytics consumers (Trino, Flink, and Spark Jobs) These consumers consume from the silver layer of the TIP data lake and run analytics for security detection use cases.

Optimization 85

Optimization Data Lake Management Key Performance Indicator 85

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? Back to the mainstream, how does Ontotext help deliver better analytics?

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

O'Reilly on Data

MARCH 7, 2019

The text has its own definition of what sentences are and what parts of speech are. Not only will named entity recognition or entity resolution models fail, but even basic tasks such as tokenization , part of speech tagging , and sentence segmentation will fail for the majority of sentences. Azure Text Analytics.

Deep Learning 227

Deep Learning Testing Machine Learning Modeling 227

Smart Data Collective

SEPTEMBER 7, 2022

They prioritize on-site SEO actions such as title tags and meta description optimization, website speed, quality content, and streamlining of site navigation. Data analytics technology has helped companies make the most of their off-page SEO strategies. We have talked about the benefits of using analytics to identify onsite SEO issues.

Data mining 134

Data mining Strategy Marketing Optimization 134

Grooper

JANUARY 23, 2020

One of the most valuable concepts in the world of data and analytics is making data "readable" by both machines and humans. So in HTML an tag is used to format text, but it doesn't say what that text is. XML specifies what the text is. For example, defines exactly what the text represents.

IT 60

IT Dashboards Software Reporting 60

AWS Big Data

OCTOBER 25, 2023

As the scale and complexity of microservices and distributed applications continues to expand, customers are seeking guidance for building cost-efficient infrastructure supporting operational analytics use cases. Operational analytics is a popular use case with Amazon OpenSearch Service. Choose Create pipeline.

Analytics 119

Analytics Data Processing Optimization Metrics 119

IBM Big Data Hub

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

The Data Visualisation Catalogue

DECEMBER 2, 2021

Currently, on the site, the content for each chart reference page is as follows: The visualisation’s name An example image The description Anatomy of the chart Functions tags Similar charts list Tools to generate visualisation list Paid examples (Sometimes) explanation video. Maybe the function tags could also be listed here.

Finance 79

Finance Visualization IT Analytics 79

AWS Big Data

SEPTEMBER 29, 2023

XML files are well-suited for applications, but they may not be optimal for analytics engines. In order to enhance query performance and enable easy access in downstream analytics engines such as Amazon Athena , it’s crucial to preprocess XML files into a columnar format like Parquet. This approach optimizes the use of your XML files.

Metadata 65

Metadata Visualization Data-driven Optimization 65

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). 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.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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. Some of its properties and relationships can be used to facilitate autocategorization.

Enterprise 59

Enterprise Management Metadata Modeling 59

AWS Big Data

MAY 1, 2023

This post demonstrates how you can build an analytics pipeline to push support cases created in individual member AWS accounts into a central account. We also show you how to build an analytics dashboard to gain visibility and insights on all support cases created in various accounts within your organization. Choose Next. Choose Next.

Dashboards 81

Dashboards Analytics Visualization Management 81

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition. THE WAY FORWARD.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Ontotext

JUNE 24, 2020

Web Annotation GraphQL Service. Find Annotations with Droid tags. The outcome of this bounded context data model is as follows: A bounded context data model comprised of: text analytics: Web Annotations. Knowledge Graph Training. Character Similarity GraphQL Service. Character similarity and sub class entity resolution.

Modeling 64

Modeling Technology IT Management 64

Smart Data Collective

SEPTEMBER 8, 2020

So how can you stand out in a crowded marketplace by leveraging data analytics ? You can use sophisticated data analytics tools to conduct A/B testing to see how different marketing tactics perform. Big data analytics tools will help you see how well they work. Big data can help immensely with your newsletter.

Data-driven 109

Data-driven Marketing Big Data Advertising 109

AWS Big Data

MAY 3, 2023

Most CI/CD pipelines allow you to access the git tag. He’s worked with data and analytics pipelines for over 10 years and splits his team between splitting service logs and stacking firewood. With emr deploy , this is as simple as changing the --s3-code-uri parameter.

Data Processing 80

Data Processing Management Testing IT 80

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! 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

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. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

AWS Big Data

JUNE 29, 2023

In many organizations, one or multiple Amazon Redshift data warehouses run daily for data and analytics purposes. Create Slack resources Slack Incoming Webhooks expect a JSON request with a message string corresponding to a "text" key. format(cluster) }, { 'type': 'mrkdwn', 'text': ':label: *Query Type:*n{}'.format(query_type)

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Smart Data Collective

APRIL 5, 2022

A text analytics interface that helps derive actionable insights from unstructured data sets. However, it is still a very powerful hardware Accelerator that offers great features for its price tag. This feature helps automate many parts of the data preparation and data model development process. Google Cloud AI Platform.

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

Domino Data Lab

SEPTEMBER 9, 2019

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

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. Knowledges Graphs for Memory Recall.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Ontotext

JULY 6, 2023

The visualization and analytical interfaces help enterprises derive valuable business intelligence by connecting business abstractions like products, services and processes to the technical infrastructure that enables them. One example would be the famous cello player who happened to co-occur in a publication with the President of Russia.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. For many enterprises, Microsoft Azure has become a central hub for analytics. Microsoft.

Data Lake 111

Data Lake Analytics Data Warehouse Machine Learning 111

Cloudera

SEPTEMBER 7, 2018

Analyzing unstructured data sets such as text, audio and images are challenging, especially while determining illegal intent in communications. A tag team against insider threat. Smarter : Deeper insights with a full complement of analytic and machine learning frameworks for all threat detection.

Machine Learning 49

Machine Learning Risk Unstructured Data Cost-Benefit 49

Occam's Razor

MAY 5, 2016

I am insanely excited that we can track ad blocking behavior in Google Analytics, so easily. Technical how-to implement enhanced code guidance (Google Tag Manager or direct). Setting Google Analytics front end elements (custom dimensions, advanced segments). Let now go and configure the Google Analytics front-end.

Metrics 103

Metrics Reporting Analytics Advertising 103

AWS Big Data

MARCH 28, 2024

For example, if a certain data point that is monitored violates a threshold, there can be a text message or trigger for a maintenance order on the line. The condition monitoring and rule evaluation system is built on AWS, using AWS analytics services. The following diagram illustrates the architecture.

Management 79

Management Broadcasting IoT Metrics 79

Laminar Security

DECEMBER 13, 2023

The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity. Natural language processing (NLP) is employed when working with text or speech data. It helps in determining what data you have and its sensitivity.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119