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

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 144

Unstructured Data Data Lake Enterprise Technology 144

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

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 135

Business Analytics Analytics Unstructured Data Data-driven 135

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 359

Data Lake Unstructured Data Data Science Publishing 359

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 267

Unstructured Data Data Processing Data Science Publishing 267

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

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 Structured Data 137

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 296

Unstructured Data Data Science Publishing Modeling 296

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 269

Data Lake Unstructured Data Big Data Dashboards 269

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 273

Unstructured Data IT Data Science Publishing 273

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 274

Unstructured Data Data mining Data Science Publishing 274

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 114

Interactive Unstructured Data Analytics Data Warehouse 114

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 314

Deep Learning Machine Learning Technology Analytics 314

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 167

Data Lake Unstructured Data Management Analytics 167

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 259

Data Science Statistics Machine Learning Analytics 259

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Stream analytics can be used to help improve the speed and accuracy of models’ predictions.

Unstructured Data 93

Unstructured Data Data-driven ROI Machine Learning 93

CIO Business Intelligence

JULY 23, 2023

More than 60% of corporate data is unstructured, according to AIIM , and a significant amount of this unstructured data is in the form of non-traditional “records,” like text and social media messages, audio files, video, and images.

Data Governance 98

Data Governance Unstructured Data Cost-Benefit Machine Learning 98

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 98

Data Governance Unstructured Data Metadata Data Lake 98

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 315

Machine Learning Data Science Publishing Analytics 315

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 290

Data Architecture Unstructured Data Data Lake Data Governance 290

AWS Big Data

MARCH 7, 2024

You can take all your data from various silos, aggregate that data in your data lake, and perform analytics and machine learning (ML) directly on top of that data. You can also store other data in purpose-built data stores to analyze and get fast insights from both structured and unstructured data.

Data Lake 115

Data Lake Analytics Dashboards Metrics 115

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 305

Machine Learning Data Science Publishing Analytics 305

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 299

Modeling Deep Learning Machine Learning Data Science 299

CIO Business Intelligence

MAY 24, 2022

The new, industry-targeted data management platforms — Intelligent Data Management Cloud for Health and Life Sciences and the Intelligent Data Management Cloud for Financial Services — were announced at the company’s Informatica World conference Tuesday. Analytics for faster decision making.

Finance 140

Finance Management Metadata Data Quality 140

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Unstructured Data 62

Unstructured Data Data Lake Data Warehouse Machine Learning 62

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 284

Deep Learning Machine Learning Data Science Publishing 284

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. What is Data Science? Typical tools for data science: SAS, Python, R.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

JUNE 10, 2022

The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wide range of applications.

Data Science 119

Data Science Machine Learning Statistics Business Intelligence 119

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 268

Machine Learning Data Science Publishing Analytics 268

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 298

Machine Learning Modeling Analytics Unstructured Data 298

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Business Intelligence. Dashboards. Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

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 307

Machine Learning Analytics Unstructured Data Deep Learning 307