Data Leaders Brief

Data Insights for Everyone — The Semantic Layer to the Rescue

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. How data are stored, labeled, and meta-tagged in the data cloud is no longer a bottleneck to discovery and access.

Data Science

Data Science Forecasting Business Intelligence Sales

Sport analytics leverage AI and ML to improve the game

CIO Business Intelligence

APRIL 8, 2024

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. During each week of games, the platform captures and processes 6.8

Analytics

Analytics Broadcasting Predictive Analytics Metrics

The Future of AI: High Quality, Human Powered Data

Smart Data Collective

AUGUST 11, 2022

This massive undertaking requires input from groups of people to help correctly identify objects, including digitization of data, Natural Language Processing, Data Tagging, Video Annotation, and Image Processing. However, analyzing heterogeneous data and then interpreting it into one or more structures has been challenging. Conclusion.

Data Quality

Data Quality Machine Learning Digital Transformation Big Data

Webinars

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

MORE WEBINARS

Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

MAY 22, 2023

Knowledge graphs come with a higher level of ambition; deeper understanding of the data, which allows for better interpretation, improved search and more insights (e.g., discovering relationships between people). Atanas Kiryakov : I can add that a knowledge graph is a much broader concept than MDM.

Management

Management Unstructured Data Metadata Cost-Benefit

New Content Structure

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

Finance Visualization IT Analytics

5 Artificial Intelligence Trends Changing The eCommerce Industry

Smart Data Collective

APRIL 10, 2020

eCommerce software with AI automatically tags, organizes and visually searches content using advanced labeling features. They do this using complex analytical systems that interpret hundreds of data points in real-time. Analytical systems interpret data points to lower cart abandonment rates.

Sales

Sales Visualization Marketing Software

The Gold Standard – The Key to Information Extraction and Data Quality Control

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. Once developed and trained, these algorithms become the building blocks of systems that can automatically interpret data.

Data Quality

Data Quality Machine Learning Measurement Metadata

Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data mining

Data mining Machine Learning Deep Learning Marketing

The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

JULY 29, 2021

The Semantic Web started in the late 90’s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. The first one is Schema.org: millions of web pages are tagged with semantic annotations to enable a much better web search experience. Take this restaurant, for example.

Enterprise

Enterprise Metadata Knowledge Discovery Management

10 most in-demand generative AI skills

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

Deep Learning Machine Learning Modeling Consulting

Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

MARCH 28, 2024

To interpret a metric, more than one data point is used, which is a stateful calculation. Sometimes, the machine data is not as easy to interpret as it might look at first glance. Raw data is preprocessed to create a unified JSON structure, which makes it easier to process later on in the rule engine.

Management

Management Broadcasting IoT Metrics

SHACL-ing the Data Quality Dragon I: the Problem and the Tools

Ontotext

NOVEMBER 9, 2023

However, the interpretation is rather different — it’s interpreted as “infer that something is a name only if it has at most one value” There are no limitations for extra definitions. String constraints — min and max length, pattern (regular expressions), and language validations.

Data Quality

Data Quality Testing Reporting Metadata

An A-Z Data Adventure on Cloudera’s Data Platform

Cloudera

DECEMBER 21, 2020

He is particularly excited about model interpretability: Refractor and desires to experiment with this project on his own. . The data is tagged as sensitive data, e.g. “financial”, and the owner field showing “retail banking” instantly informs Shaun which organization to reach out to to ask for access.

Dashboards

Dashboards Visualization Data Warehouse Data Lake

Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. .

Analytics

Analytics Unstructured Data Data mining Structured Data

The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

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. Likewise, it will help writers identify agents who are a good fit.

Modeling

Modeling Metadata Publishing Sales

How Useful is ChatGPT for Data Visualisation Work?

The Data Visualisation Catalogue

JANUARY 24, 2023

The instructions don’t specify that I need to include the JavaScript code within a <script> tag, so if I did not know JavaScript, I would make the mistake of copying and pasting the code into just the <body> tag. Usually, ChatGPT is able to recognise the text as a dataset and can interpret it as so.

Visualization

Visualization Interactive Data-driven Testing

Natural Language Processing Best Practices in Python and R

Sisense

APRIL 30, 2020

Begin by removing the URLs and HTML tags. URLs like [link] in above example and HTML tags like <br /> <br /> don’t add any value to the review text. This is because the ML system interprets words with different cases as being different words. Preprocessing works like this: 1. get_text().

Machine Learning

Machine Learning Statistics Modeling IT

What Does 2000 Year Old Concrete Have to Do with Knowledge Graphs?

Ontotext

SEPTEMBER 2, 2020

They interpreted what the searcher meant rather than what they typed. By classifying, tagging, and labeling content with other data, the relationships between them become clear. It is increasingly the case that AI is making the rote decisions such as Ontotext’s NLP plugins for automating semantic tagging.

Insurance

Insurance Metadata Publishing Unstructured Data

AI Birth to Boom

bridgei2i

FEBRUARY 6, 2020

AI has come a long way from Greek Mythology and Hollywood’s outlandish creative interpretations over the last few decades to becoming mainstream in a whole gamut of applications from autonomous cars, to facial recognition to smart speakers. AI has come a long way from Greek Mythology. Improving Operational Effectiveness. Digital Enterprise.

IoT

IoT Internet of Things Digital Transformation ROI

Text Analytics – Understanding the Voice of Consumers

BizAcuity

OCTOBER 21, 2019

Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.

Analytics

Analytics Unstructured Data Data mining Structured Data

Does Data Democratization Result in Data Anarchy and Bad Business Decisions?

Smarten

NOVEMBER 29, 2018

And, you can improve and refine the quality and interpretation of data to enhance decision-making. With integrated, mobile access, users may still need context to properly interpret and analyze data and share and present it with clarity and precision.

Data Governance

Data Governance Data Integration Strategy Analytics

AI vs. BI for Business, What Do You Need?

Jet Global

MARCH 5, 2019

Vision systems: Vision systems are capable of analyzing and interpreting visual images, such as aerial photographs, medical imaging, or product labels. Facebook’s facial recognition photo tagging is an example of a vision system.

Business Intelligence

Business Intelligence OLAP Visualization Reporting

GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Ontotext

JANUARY 26, 2023

In other words, data coming from different sources need to be interlinked, contextualized and normalized in a graph that allows for its consistent and unambiguous interpretation. Focused on acquisition only, building automation engineers do not take into account the tagging quality and the need for analytics at a later stage.

Interactive

Interactive Metadata Data Integration Data-driven

Getting ready for artificial general intelligence with examples

IBM Big Data Hub

APRIL 18, 2024

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. AGI would need to recognize and understand emotions, including interpreting facial expressions, body language and tone of voice.

Cost-Benefit

Cost-Benefit Modeling Manufacturing Interactive

Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

JUNE 4, 2021

Statistics is understanding, interpreting, and presenting data. Facebook and google photos identify people from images and recommend tags. Probability distributions are collections of all events and their probabilities. Knowledge of probability distributions is needed for understanding and predicting data. Statistics.

Data Science

Data Science Statistics Deep Learning Machine Learning

Causality in machine learning

The Unofficial Google Data Science Blog

JANUARY 31, 2017

This true model is described by the GLM equation $$mathrm{logit}(EY) = beta_1 X_1 + beta_2 X_2 + beta_{pi} X_{pi} tag{Eq 1} $$ where $X_1$ and $X_2$ are continuous features we use to estimate the relevance of the news story to the user, $X_{pi}$ is the binary variable indicating whether the story was made prominent.

Machine Learning

Machine Learning Modeling Statistics Predictive Modeling

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

APRIL 25, 2024

We also set wildcard_match as True , which enables searches on bucket_key to be interpreted as a Unix wildcard pattern. We derived the current date in the DAG and passed this to S3KeySensor , which looks for any new files in the current day folder. The dag_id should match the DAG script name, otherwise it won’t be synced into the Airflow UI.

Metadata

Metadata Data Processing Management Testing

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

SEPTEMBER 29, 2022

When two companies join together in some way, their data tags along into this new working relationship. Every data system has three parts: The database (the data itself) The “business rules” (the ways in which the data is interpreted) The user interface (the ways in which the data is presented). Source #1: Mergers and acquisitions.

Data Quality

Data Quality Metrics Data-driven Management

The Future of AI in the Enterprise

Jet Global

AUGUST 14, 2019

How should data be tagged, sorted, grouped, and analyzed? With data visualization tools, critical insights are displayed in rich graphical representations that are vastly easier for the human brain to interpret. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters?

Enterprise

Enterprise OLAP Business Intelligence Cost-Benefit

Analysis Ninjas: Move Beyond The Top Ten. Find Love (/Insights).

Occam's Razor

DECEMBER 21, 2009

Not only do we have a hard time interpreting insights from lots of data, we can't actually physically look at that much data and find insights. Use Tag Clouds. For pulling lots of data from lots of rows all together into one place I do so love tag clouds. Harder still to look at 30 or 50 or 70 rows of data.

Metrics

Metrics KPI Reporting Visualization

EU Cookie / Privacy Laws: Implications On Data Collection And Analysis

Occam's Razor

JUNE 25, 2012

For example, they'll explicitly implement a tracking solution (like SiteCatalyst, comScore), typically via JavaScript tags, or an advertising solution (like DoubleClick, Kenshoo) or social buttons/commenting systems. Cookies are always set on behalf of the website owner. The directive requires obtaining consent prior to tracking.

Data Collection

Data Collection Advertising Metrics Reporting

The Future of AI in the Enterprise

Jet Global

OCTOBER 2, 2019

How should data be tagged, sorted, grouped, and analyzed? With data visualization tools, critical insights are displayed in rich graphical representations that are vastly easier for the human brain to interpret. But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters?

Enterprise

Enterprise OLAP Business Intelligence Cost-Benefit

Building Custom Runtimes with Editors in Cloudera Machine Learning

Cloudera

AUGUST 24, 2022

Zeppelin supports a variety of different interpreters, including Apache Spark. This run mode choice is to stop Zeppelin from trying to (unsuccessfully) spin up interpreters in different Kubernetes pods. Input the name of your image, along with repo location and tags. Namely, you must tell Zeppelin to listen on 127.0.0.1:8090

Machine Learning

Machine Learning Metadata Testing Data Science

How to Build a Successful Metadata Management Framework

Alation

JUNE 28, 2022

Data literacy: Employees can correctly interpret and analyze data for drawing logical conclusions for more informed decision-making. Our machine learning adds context to, identifies, and tags sensitive data, translating technical metadata into popular business terms so data analysts can communicate and collaborate easily.

Metadata

Metadata Management Data Governance Machine Learning

Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

Occam's Razor

SEPTEMBER 24, 2012

A story is created when someone: Likes your Page; Likes, comments on, or shares your Page post; Answers a question you've asked; Responds to your event; Mentions your Page; Tags your Page in a photo; Checks into or recommends your Place. " Interpretation? Is it not cute that my ad says: You like Avinash Kaushik. :).

Advertising

Advertising ROI Metrics Marketing

7 key Microsoft Azure analytics services (plus one extra)

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.

Data Lake

Data Lake Analytics Data Warehouse Machine Learning

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

MAY 24, 2022

To some it means profiling statistics, like min, max, median, and null; to others it means producing an aggregate quality score that can be interpreted as good or bad. For example, a data steward can filter all data by ‘“endorsed data’” in a Snowflake data warehouse, tagged with ‘bank account’.

Data Quality

Data Quality Data Governance Metadata Metrics

Overcoming Common Challenges in Natural Language Processing

Sisense

MAY 26, 2020

Preprocessing of data means removal of unwanted URLs, HTML tags, stop words, numeric and alphanumeric words, punctuation, and special characters. In NLP, tokenization is important as the essence of a text can be easily interpreted by analysis of tokens present in it. It also involves converting all text to lowercase.

Unstructured Data

Unstructured Data Big Data Testing Machine Learning

Implementing Data Governance in the Manufacturing Industry

Alation

MAY 12, 2022

So the company pushed its data governance program to standardize business definitions and tag subject matter experts for any questions. Building data literacy across your operations is critical to empowering workers to find, correctly interpret, and leverage data across your organization. Train and educate your manufacturing workforce.

Manufacturing

Manufacturing Data Governance Cost-Benefit IoT

Transform Data's Impact: Pick The Right Success KPI!

Occam's Razor

AUGUST 22, 2022

People taking the survey are super confused or putting their own interpretation on what you are asking. Unaided Awareness of Apple Tags is just 12 points. But, phrased like that… Only your Director, and five people who say yes to everything the Director says, actually understand the question and answer choices. Pick something else.

KPI

KPI Metrics Measurement Marketing

Experiment or Die. Five Reasons And Awesome Testing Ideas.

Occam's Razor

NOVEMBER 17, 2008

5 Tags, CMS, Reports & Regressions: All Included! So you don't have to worry about integrations with analytics tools, you don't have to worry about rushing to get a PhD in Statistics to interpret results and what not. 5 Tags, CMS, Reports & Regressions: All Included! 2 Six And A Half Minutes. That’s it! #3

Testing

Testing Experimentation Risk Optimization

How Big Data Is Transforming the Maritime Industry

Smart Data Collective

MARCH 22, 2023

Big data analytics are used to interpret large amounts of data, using a blend of Artificial Intelligence and Machine Learning-driven tools, Algorithms, and processing systems. Industries like maritime have conventionally utilized enterprise resource planning (ERP) and other dispersed storage systems to utilize data.

Big Data

Big Data Advertising Data-driven Data Science

Why The Public Sector Needs Data Governance

Alation

NOVEMBER 22, 2022

Setting data management policies, like tagging data. Data literacy: People know how to interpret and analyze data. An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Quantifying effectiveness with metrics. Troubleshoot For Potential Risks.

Data Governance

Data Governance Metadata Data-driven Unstructured Data

The essential check list for effective data democratization

CIO Business Intelligence

JANUARY 20, 2023

Some organizations have started their own in-house training programs to ensure employees understand how to interpret and properly handle data. “If you don’t do it properly, you’re going to have mixed success at best, or it might be a failure.” Our intention was not to make 100,000 people citizen data scientists,” says Tripathy. “You

Data Lake

Data Lake Data-driven Finance Data Architecture

Data Insights for Everyone — The Semantic Layer to the Rescue

Sport analytics leverage AI and ML to improve the game

Webinars

Trending Sources

The Future of AI: High Quality, Human Powered Data

Webinars

Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

New Content Structure

5 Artificial Intelligence Trends Changing The eCommerce Industry

The Gold Standard – The Key to Information Extraction and Data Quality Control

Leveraging user-generated social media content with text-mining examples

The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

10 most in-demand generative AI skills

Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

SHACL-ing the Data Quality Dragon I: the Problem and the Tools

An A-Z Data Adventure on Cloudera’s Data Platform

Text Analytics – Understanding the Voice of Consumers

The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

How Useful is ChatGPT for Data Visualisation Work?

Natural Language Processing Best Practices in Python and R

What Does 2000 Year Old Concrete Have to Do with Knowledge Graphs?

AI Birth to Boom

Text Analytics – Understanding the Voice of Consumers

Does Data Democratization Result in Data Anarchy and Bad Business Decisions?

AI vs. BI for Business, What Do You Need?

GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Getting ready for artificial general intelligence with examples

Data Science Journey Walkthrough – From Beginner to Expert

Causality in machine learning

Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

The Future of AI in the Enterprise

Analysis Ninjas: Move Beyond The Top Ten. Find Love (/Insights).

EU Cookie / Privacy Laws: Implications On Data Collection And Analysis

The Future of AI in the Enterprise

Building Custom Runtimes with Editors in Cloudera Machine Learning

How to Build a Successful Metadata Management Framework

Facebook Advertising / Marketing: Best Metrics, ROI, Business Value

7 key Microsoft Azure analytics services (plus one extra)

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Overcoming Common Challenges in Natural Language Processing

Implementing Data Governance in the Manufacturing Industry

Transform Data's Impact: Pick The Right Success KPI!

Experiment or Die. Five Reasons And Awesome Testing Ideas.

How Big Data Is Transforming the Maritime Industry

Why The Public Sector Needs Data Governance

The essential check list for effective data democratization

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