Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the current scenario of the pandemic COVID-19 situation, biopharmaceuticals is an emerging and demanding field of life science, and data science is equally another popular discipline.

Data Science 251

Data Science Publishing Analytics Unstructured Data 251

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Machine Learning is the method of teaching computer programs to do a specific task accurately (essentially a prediction) by training a predictive model using various statistical algorithms leveraging data. Source: [link] For […].

Machine Learning 247

Machine Learning Predictive Modeling Statistics Data Science 247

AWS Big Data

SEPTEMBER 12, 2024

This platform is an advanced information retrieval system engineered to assist healthcare professionals and researchers in navigating vast repositories of medical documents, medical literature, research articles, clinical guidelines, protocol documents, activity logs, and more. Overview of solution The solution was designed in layers.

Unstructured Data 109

Unstructured Data Metadata Consulting Machine Learning 109

Analytics Vidhya

MAY 20, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We produce a massive amount of data each day, whether. The post What is Big Data? Introduction, Uses, and Applications. appeared first on Analytics Vidhya.

Big Data 170

Big Data Data Science Publishing Analytics 170

Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. We will also briefly have a sneak preview of the connection between AI and Big Data. For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc.

Big Data 81

Big Data Software Unstructured Data Data Integration 81

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Cost-Benefit 103

Cost-Benefit Data Warehouse Unstructured Data Optimization 103

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 120

Strategy Data Science Unstructured Data Marketing 120

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

Ontotext

DECEMBER 15, 2022

Connecting the dots of data of all types. To begin with, Fantastic Finserv has to handle a wide variety of data. This includes traditional structured data such as: Reference data – the data used to relate data to information outside of the organization.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

FEBRUARY 5, 2020

If you want to learn more about chart types, this article is for your reference: Top 16 Types of Chart in Data Visualization. Self-service data preparation is essentially letting the BI system automatically handle the logical association between data. Drill-down map made with FineReport. Support mobile display.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. They were facing three different data silos of half a million documents full of clinical study data.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Visit this community article for step-by-step details.

Data Lake 74

Data Lake Metadata Unstructured Data Management 74

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JULY 6, 2023

Human experts determine the hierarchy of features to understand the differences between data inputs, usually requiring more structured data to learn. It can ingest unstructured data in its raw form (e.g., And online learning is a type of ML where a data scientist updates the ML model as new data becomes available.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. This semantic model serves as a blueprint or framework against which raw data is analyzed and organized. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Cloudera

OCTOBER 7, 2021

This blog will focus more on providing a high level overview of what a data mesh architecture is and the particular CDF capabilities that can be used to enable such an architecture, rather than detailing technical implementation nuances that are beyond the scope of this article. Introduction to the Data Mesh Architecture.

Metadata 127

Metadata Cost-Benefit Enterprise Interactive 127

Smart Data Collective

MARCH 16, 2020

He should elaborate more on the benefits of big data and deep learning. A lot of big data experts argue that deep learning is key to controlling costs. Health IT Analytics wrote an article on the cost benefits of using big data in healthcare. Unstructured or unstructured data is the opposite.

Deep Learning 84

Deep Learning Unstructured Data Cost-Benefit Big Data 84