AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Analytics Vidhya

SEPTEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical application of the supervised NLP fastText model for detecting sarcasm in news headlines. About 80% of all information is unstructured, and text is one of the most common types of unstructured data.

Unstructured Data 343

Unstructured Data Data Science Publishing Modeling 343

Analytics Vidhya

OCTOBER 17, 2022

Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size. Data Lakes are an important […].

Data Lake 374

Data Lake Unstructured Data Data Science Publishing 374

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Analytics Vidhya

FEBRUARY 2, 2024

Unstructured data, including text documents and social media posts, exacerbates this challenge with its inherent lack of predefined structure, making extracting meaningful insights even […] The post Ways of Converting Textual Data into Structured Insights with LLMs appeared first on Analytics Vidhya.

Unstructured Data 305

Unstructured Data Big Data Analytics Structured Data 305

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Different people express themselves quite differently when it comes to […].

Unstructured Data 304

Unstructured Data IT Data Science Publishing 304

Smart Data Collective

JULY 4, 2021

Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry. Why Machine Learning? What Machine Learning Means to Asset Managers. Data Analysis. But is AI becoming the end-all and be-all of asset management ?

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Analytics Vidhya

OCTOBER 9, 2022

Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover. Making sense of this unstructured data can help companies better understand […].

Unstructured Data 290

Unstructured Data Data Processing Data Science Publishing 290

CIO Business Intelligence

OCTOBER 30, 2024

They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics. This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

Analytics Vidhya

MAY 4, 2022

Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

Unstructured Data 304

Unstructured Data Data mining Data Science Publishing 304

Analytics Vidhya

FEBRUARY 25, 2023

Though we have traditional machine learning algorithms, deep learning plays an important role in many tasks better than […] The post Introduction to Neural Network: Build your own Network appeared first on Analytics Vidhya.

Deep Learning 336

Deep Learning Machine Learning Technology Analytics 336

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Testing and Data Observability.

Testing 304

Testing Machine Learning Consulting Data Quality 304

Analytics Vidhya

AUGUST 31, 2022

Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

Data Lake 271

Data Lake Unstructured Data Big Data Dashboards 271

Analytics Vidhya

SEPTEMBER 7, 2020

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

Machine Learning 354

Machine Learning Modeling Analytics Unstructured Data 354

Analytics Vidhya

JULY 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction to NLP: After I got acquainted with Machine learning concepts, The post A simple start with Natural Language Processing! appeared first on Analytics Vidhya.

Machine Learning 329

Machine Learning Data Science Publishing Analytics 329

David Menninger's Analyst Perspectives

MARCH 30, 2020

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

Data Architecture 292

Data Architecture Unstructured Data Data Lake Data Governance 292

Smart Data Collective

MAY 13, 2022

With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Business insight and data analytics landscape. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

Analytics Vidhya

NOVEMBER 12, 2020

Introduction Source Sentiment Analysis or opinion mining is the analysis of emotions behind the words by using Natural Language Processing and Machine Learning. The post Fine-Grained Sentiment Analysis of Smartphone Review appeared first on Analytics Vidhya.

Machine Learning 319

Machine Learning Analytics Unstructured Data 319

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In any Machine learning task, cleaning or preprocessing the data is. The post Must Known Techniques for text preprocessing in NLP appeared first on Analytics Vidhya.

Machine Learning 319

Machine Learning Data Science Publishing Analytics 319

CIO Business Intelligence

DECEMBER 10, 2024

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. It requires the ability to break down silos between disparate data sets and keep data flowing in real-time. To learn more, visit us here.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

Analytics Vidhya

AUGUST 28, 2021

This article was published as a part of the Data Science Blogathon Introduction The realities of the modern world are such that the analyst increasingly has to resort to the help of the latest machine learning algorithms to identify certain deviations in the operation of the system under study.

Machine Learning 319

Machine Learning Data Science Publishing Analytics 319

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Modeling 318

Modeling Deep Learning Machine Learning Data Science 318

Analytics Vidhya

MAY 27, 2020

Introduction Every once in a while, a machine learning framework or library changes the landscape of the field. appeared first on Analytics Vidhya. Today, Facebook open sourced one such. The post Facebook AI Launches DEtection TRansformer (DETR) – A Transformer based Object Detection Approach!

Machine Learning 308

Machine Learning Analytics Unstructured Data Deep Learning 308

Boris Evelson

JUNE 14, 2018

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! First, enterprise information architects should consider general purpose text analytics platforms. These are capable of handling most if not all text analytics use […].

Unstructured Data 78

Unstructured Data Analytics Technologies Technology Analytics 78

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. hour (Engine:1 x c5d.4xlarge).

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon The intersection of medicine and data science has always been relevant; perhaps the most obvious example is the implementation of neural networks in deep learning. As data science and machine learning advance, so will medicine, but the opposite is also true.

Deep Learning 291

Deep Learning Data Science Machine Learning Publishing 291

Analytics Vidhya

JULY 8, 2023

To help you succeed in your interview, we compiled a comprehensive list of the top 50 Google interview questions covering machine learning, statistics, product sense, […] The post Top 50 Google Interview Questions for Data Science Roles appeared first on Analytics Vidhya.

Data Science 288

Data Science Statistics Machine Learning Analytics 288

Smart Data Collective

FEBRUARY 3, 2021

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 However, the impact of big data on the stock market is likely to be even greater. Ten years ago, computers used to focus on analyzing structured data alone.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

O'Reilly on Data

FEBRUARY 11, 2020

Just 20% of organizations publish data provenance and data lineage. Adopting AI can help data quality. Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. Can AI be a catalyst for improved data quality?

Data Quality 361

Data Quality Metadata Data Governance Publishing 361

David Menninger's Analyst Perspectives

FEBRUARY 21, 2024

Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously , unstructured data is really a misnomer.

Unstructured Data 147

Unstructured Data Data Lake Enterprise Technology 147

CIO Business Intelligence

FEBRUARY 20, 2025

When building a machine-learning-powered tool to predict the maintenance needs of its customers, Ensono found that its customers used multiple old apps to collect incident tickets, but those apps stored incident data in very different formats, with inconsistent types of data collected, he says. But they can be modernized.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lake 178

Data Lake Unstructured Data Management Analytics 178

CIO Business Intelligence

OCTOBER 2, 2024

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. That failure can be costly.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. This premier event showcased groundbreaking advancements, keynotes from AWS leadership, hands-on technical sessions, and exciting product launches.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Machine learning everywhere. Embedded analytics accelerates. Cloud analytics adoption skyrockets.

Analytics 96

Analytics Machine Learning Unstructured Data Digital Transformation 96