Ontotext

DECEMBER 15, 2023

A newer repo is PaddlePaddle/PaddleNLP that has topics: nlp search-engine compression sentiment-analysis transformers information-extraction question-answering llama pretrained-models embedding bert semantic-analysis distributed-training ernie neural-search uie document-intelligence paddlenlp llm. uie paddlenlp ).

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

O'Reilly on Data

JULY 28, 2020

When a Stitch Fix user interacts with its AI products, they interface with the prediction and recommendation engines. The information they interact with during that experience is an AI product–but they neither know, nor care, that AI is behind everything they see. Prototypes and Data Product MVPs. Conclusion.

Marketing 362

Marketing Experimentation Metrics Testing 362

FineReport

MARCH 14, 2021

A web report, or web-based report, is a type of interactive records displayed through the Web, say, using websites as new data transmission platforms. The main goal here is to display data online in an actionable format. Thus, users can access data without limitations on time, location, and devices.

Reporting 52

Reporting Dashboards Visualization Interactive 52

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?

Dashboards 235

Dashboards Interactive Reporting KPI 235

FineReport

MARCH 6, 2024

What are Financial Statements Financial statements are written documents prepared regularly based on daily accounting data. Users experience a well-designed and interactive page, showcasing simplicity in a two-dimensional layout. Reports serve as a summary and visualization of systematically collected data.

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

O'Reilly on Data

JUNE 18, 2019

The problem is even more magnified in the case of structured enterprise data. These data sets are often siloed, incomplete, and extremely sparse. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes).

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

IBM Big Data Hub

JULY 26, 2023

Adequate planning, data collection, and stakeholder involvement are crucial for a successful implementation. The process requires meticulous documentation and tracking systems to ensure accurate evaluation, allocation, and monitoring of expenses.

Cost-Benefit 56

Cost-Benefit Optimization Visualization Data-driven 56

Smart Data Collective

NOVEMBER 12, 2020

Here are a few data points EMS provides hospitals that have become critical to helping with COVID-19 responses: Possible exposure to patients that have been confirmed positive: EMS identifies that a patient has been confirmed to have COVID-19 through testing.

Big Data 124

Big Data Testing Software Interactive 124

FineReport

MARCH 29, 2023

Introduction to Qlik Sense Qlik Sense is an interactive BI product released by QlikTech in 2014. This is precisely what is often needed in many enterprise scenarios, such as warehouse management, store management, and employee data management. Mobile BI Qlik Sense supports iOS and Android, with good adaptability.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

Rocket-Powered Data Science

MAY 21, 2024

To see this, look no further than Pure Storage , whose core mission is to “ empower innovators by simplifying how people consume and interact with data.” In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. We translate their documents, presentations, tables, etc. Some of this knowledge is locked and the company cannot access it. What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Unfortunately, that API does not permit collection of synopses.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. If you have access to existing data, take some time to document what the current performance looks like. Online, offline or nonline.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

AWS Big Data

FEBRUARY 1, 2024

Set up Athena to run interactive SQL. Despite the original C4 data being part of Common Crawl, Meta opted for the reprocessed version of this data. In this section, we cover common ways to interact, filter, and process the Common Crawl dataset. For instructions, refer to Create your first S3 bucket.

Metadata 97

Metadata Modeling Data Processing Unstructured Data 97

Cloudera

AUGUST 17, 2020

In order to deliver effective results in the context of a chat interaction, we had to re-think how people search. The CDM process has the goal of enabling our COEs (Customer Operations Engineers) to document the diagnostic path they followed when helping resolve the customer’s issue.

Testing 88

Testing Machine Learning Interactive Metrics 88

O'Reilly on Data

JULY 20, 2021

That model doesn’t fit reality: the identity of a communal device isn’t a single person, but everyone who can interact with it. Remote work changes when and where I should interact with work. Few things within a home are restricted–possibly a safe with important documents.

Risk 303

Risk Software Interactive Modeling 303

AWS Big Data

JULY 13, 2023

QuickSight meets varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. The solution automates the collection process using a Systems Manager Automation document, scheduling automations within a maintenance window.

Dashboards 70

Dashboards Visualization Interactive Management 70

Alation

OCTOBER 12, 2022

What Are Quantitative Data Collection Methods? When collecting quantitative data, it’s important to collect as many data points as possible to ensure that your mathematical analysis gives you a meaningful answer. Analytics: Analyze data to understand how people interact with products and/or services.

Statistics 52

Statistics Sales Testing Marketing 52

datapine

AUGUST 12, 2020

We will discuss report examples and templates you can use to create your own report, use its features in an interactive way, and discover relevant inputs for your specific industry. In the process, we will use an online data visualization software that lets us interact with, and drill deeper into bits and pieces of relevant data.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Bonus: Interactive CD. The book contains a cd with six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. [If

Analytics 60

Analytics Metrics Marketing Dashboards 60

IBM Big Data Hub

SEPTEMBER 11, 2023

Using data, user research and human-centered design to effectively address these considerations can help you develop a clear modernization strategy that objectively drives your priorities, backlogs and roadmaps. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

FineReport

JUNE 24, 2022

Analysis reports are constantly required documents in almost every company. In the digital age, analytical reporting seems to be more indispensable but challenging because of the data explosion. However, sometimes we may find some inconveniences in the process of data collection and data visualization.

Reporting 52

Reporting IT Sales Recreation/Entertainment 52

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

FineReport

JUNE 26, 2023

Serving as foundational documents : Performance reports serve as the groundwork for other reports and documentation. Internal performance reports serve as a fundamental source for preparing external reports and documents, given that the required data is already collected.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

Alation

JULY 7, 2022

As Alation worked to create a new category of enterprise data management tool, the data catalog , Aaron wanted to also use this new technology to advance the cause of academic research. Aaron turned his attention from Alation Open to launch the Alation Data Catalog. Supporting the next data-literate generation.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. You can also create documentation or video tutorials.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Darkhorse

JULY 6, 2017

Once you’ve documented and understood your sources, you have reached the second stage: data sloughs (note, you have more than one). Now comes the fun part: cleaning up your data. This means getting rid of the duplicates, dealing with the blanks, and fixing data type problems. By human or machine?) How is it stored?

Data Lake 74

Data Lake Sales Machine Learning Visualization 74

O'Reilly on Data

OCTOBER 18, 2022

Audits are usually more official, tracking adherence to some policy, regulation, or law, and tend to be conducted by independent third parties with varying degrees of limited interaction between auditor and auditee organizations. Data labeling is a problem. Disclaimer: I am a co-author of that document.

Risk Management 292

Risk Management Risk Testing Measurement 292

CIO Business Intelligence

FEBRUARY 3, 2023

Optical character recognition, for example, might extract a purchase order from an uploaded document image and trigger accounting software to deal with it. The ability to suck words and numbers from images are a big help for document-heavy businesses such as insurance or banking.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Domino Data Lab

AUGUST 20, 2019

Real-world datasets can be missing values due to the difficulty of collecting complete datasets and because of errors in the data collection process. Relationships and Interactions. Interactions. One specific type of constructed feature is an interaction between existing features. Filling missing values.

Testing 68

Testing Modeling Interactive Measurement 68

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? The goal is to boost the ROI of your department – and any other – that are relying on this data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Depict Data Studio

MAY 8, 2023

This workshop is highly interactive. For example, in the Analyze Data with Pivot Tables module, the instructor will show how to insert a pivot table and drag-and-drop variables. .” The Great Graphs in Excel course helped me see and share what story our data is telling. It’s not a data visualization course.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Jet Global

MAY 15, 2020

The balance sheet and the income statement are the two other financial reporting documents that provide a substantial amount of information pertaining to financial KPIs and metrics. With data collection automated, data being stored in a central location, and ERP interface, a new financial report can be created instantly.

Metrics 98

Metrics Finance Reporting KPI 98

Domino Data Lab

OCTOBER 23, 2019

There are some huge issues with collecting random data sources: API limits, undocumented APIs, dirty data, and more. Collecting Wikipedia Pageviews for Athletes. How to reverse engineer the Wikipedia system to get pageviews (or find hidden API documentation). How to join the DataFrame with the rest of the data.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. A comprehensive list of all attributes and symbol codes is given in the document that accompanies the original dataset.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139