Domain-Specific Language Processing Mines Value From Unstructured Data

KDnuggets

Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.

Accelerating unstructured data compliance with a new approach: sampling

IBM Big Data Hub

The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read blog to learn how IBM StoredIQ InstaScan accelerates this

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Sample-based analysis: A new approach for unstructured data management

IBM Big Data Hub

Introducing IBM StoredIQ Instascan for accelerated compliance and risk assessments. Read to learn more

A Guide to Link Prediction – How to Predict your Future Connections on Facebook

Analytics Vidhya

Graphs & Networks Intermediate Machine Learning Project Python Social Media Supervised Technique Unstructured Data Graph theory LightGBM Link Prediction node2vec Social Media AnalyticsOverview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link. The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya.

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Analytics Vidhya

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya. NLP Python dependency trees graphs Natural language processing Natural Language Understanding Part of Speech python spaCy text data unstructured data

Use Text Analytics Technologies To Handle Mountains Of Unstructured Data

Boris Evelson

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

Learn How to Perform Feature Extraction from Graphs using DeepWalk

Analytics Vidhya

Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Algorithm Graphs & Networks Intermediate Python Sequence Modeling Technique Unstructured Data Unsupervised DeepWalk gensim node embeddings Random walk skip-gram

4 Proven Tricks to Improve your Deep Learning Model’s Performance

Analytics Vidhya

Advanced Classification Computer Vision Deep Learning Image Project Python Social Sector Supervised Technique Unstructured Data batch normalization CNN convolutional neural networks deep learning deep learning challenges dropout neural networks overfitting python pytorch underfittingOverview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk.

Getting to the Future First: How Social Data is Transforming Trend Discovery

KDnuggets

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images

Analytics Vidhya

Overview Image augmentation is a super effective concept when we don’t have enough data with us We can use image augmentation for deep learning. Advanced Classification Computer Vision Deep Learning Image Project Python PyTorch Supervised Technique Unstructured Data CNN data augmentation deep learning image augmentation image blurring image flipping image noising image rotation image shifting pytorch

Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3)

Analytics Vidhya

Intermediate Libraries NLP Swift Technique Text Unstructured Data Word Embeddings AI applications Apple CoreML core ml 3 deep learning apple Natural language processing swift data scienceOverview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes!

How to Gain Valuable Insights from Untapped Data Using AI

Perficient Data & Analytics

You probably know your organization needs to invest in artificial intelligence (AI) solutions to take advantage of the deluge of data that mobile and digital users are creating, but do you know why or how? LEGACY ANALYTICS METHODS AREN’T EQUIPPED TO PROCESS ALL DATA TYPES. The majority of data is unstructured (around 80%) which means it isn’t clearly defined or easily searchable the way that structured data is. LEVERAGE YOUR DATA WITH AI.

Creating a Big Data Platform Roadmap

Perficient Data & Analytics

One of the most frequently asked questions by our customers is the roadmap to deploying a Big Data Platform and becoming a truly data-driven enterprise. Just as you can’t build a house without a foundation, you can’t start down a big data path without first establishing groundwork for success. There are several key steps to prepare the organization to realize the benefits of a big data solution with both structured and unstructured data.

Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

IoT is supported by a variety of technologies – computer systems, networks, end user devices, software – but at the heart of IoT is the collection, storage, processing, and analysis of data. Data growth is nothing new, of course. The volume and even types of data relevant to doing business have been growing at an accelerated pace for some time, in great part as an outgrowth of web-based applications designed to reach consumers and support end user activities such as social media.

IoT 40

Cloudera - The ASEAN Appetite for Data in Motion

Corinium

The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?” Download the Report.

5 ways Data Analytics is a Game Changer for the Insurance Industry

DataFloq

We are in the age of ‘Big Data’ and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. . Big Data

Data Science – 8 Powerful Applications

DataFloq

Data science is one of the most exciting emerging fields. First, we will explain, in simple terms, how data science works and how it can be applied to unstructured data sets. We will also look at how data science is already is widely in use. What is Data Science?

9 Formidable Big Data Analytics Tools for 2019

DataFloq

Typically big data is reckoned by its size, but experts also give credit to information technologies that are assisting analysts in analyzing huge clusters of unstructured data to make sense of data trends, patterns, and anomalies. Big Data

Descriptive Statistics in Python for Understanding Your Machine Learning Data

DataFloq

Statistics has its own significance in data science, but it’s not the only thing which data scientists have to deal with. The commonly used way to address hidden characteristics within a data set is known as SCD. Data programming. Data mining. Data cleansing.

NLP vs. NLU: from Understanding a Language to Its Processing

DataFloq

They both attempt to make sense of unstructured data, like language, as opposed to structured data like statistics, actions, etc. However, NLP and NLU are opposites of a lot of other data mining techniques.

IT 270

How Marketers Can Use Big Data for Digital Marketing Success

DataFloq

For that, companies need to focus on big data. . Marketing without data is like driving with your eyes closed.“ - Dan Zarrella. Today, big data plays an important role when it comes to marketing decisions. Big Data

A Comprehensive Guide to Natural Language Generation

DataFloq

In its essence, it automatically generates narratives that describe, summarize or explain input structured data in a human-like manner at the speed of thousands of pages per second.

5 fundamental questions for your data journey

IBM Big Data Hub

To accelerate its journey to AI, a data-driven organization needs a trusted data foundation that empowers information stakeholders.

5 Ways AI and Big Data Are Changing the Customer Experience

DataFloq

Here’s how you can use AI-driven technologies to leverage the power of data and improve customer experience: 1. Support Real-Time Data-Drive Decision-Making. purchase history, demographic data, preferences) with real-time browsing behaviors. Big Data Artificial Intelligence

3 Concepts Defining the Future of Work: Data, Decentralisation and Automation

DataFloq

Those enterprises that are aware of the upcoming changes can best prepare and achieve competitive advantage in a data-driven society. The Future of Work is Data-driven. Big data has been around for some time now.

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma.

5 Key Updates from Day 1 of Oracle OpenWorld 2019

Perficient Data & Analytics

Significant increase in data centers by end of 2020. New Exadata machine with persistent memory built in (yes that means an entire database can reside permanently in memory – which means extremely low latency for data access). Data & Analytics News Oracle

New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. Unstructured.

Data Lakes on Cloud & it’s Usage in Healthcare

BizAcuity

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Deploying Data Lakes in the cloud.

Rearchitecting Unstructured Storage

Nutanix

Unstructured data is typically comprised of data that is not easily searchable, including such formats as audio, video, and social media postings. It has an internal structure but is not structured via pre-defined data models and may be textual or non-textual, and human- or machine-generated. It is typically stored on file and object storage

Rearchitecting Unstructured Storage

Nutanix

Unstructured data is typically comprised of data that is not easily searchable, including such formats as audio, video, and social media postings. It has an internal structure but is not structured via pre-defined data models and may be textual or non-textual, and human- or machine-generated. It is typically stored on file and object storage

Understanding Social And Collaborative Business Intelligence

datapine

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information.

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. It is even more complicated because often the proprietary information generated in-house needs to be complemented with a vast amount of valuable open data.

Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

The need for an effective data modeling tool is more significant than ever. For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development.

Rearchitecting Unstructured Storage

Nutanix

Unstructured data is typically comprised of data that is not easily searchable, including such formats as audio, video, and social media postings. It has an internal structure but is not structured via pre-defined data models and may be textual or non-textual, and human- or machine-generated. It is typically stored on file and object storage

Rearchitecting Unstructured Storage

Nutanix

Unstructured data is typically comprised of data that is not easily searchable, including such formats as audio, video, and social media postings. It has an internal structure but is not structured via pre-defined data models and may be textual or non-textual, and human- or machine-generated. It is typically stored on file and object storage

Postgres vs. MongoDB for Storing JSON Data — Which Should You Choose?

Sisense

Constraints and Limitations Native JSON Data Stores Performance Use Cases and Factors. When you get down to it, this is precisely the debate that rages among data scientists when it comes to PostgreSQL vs. MongoDB, and the right kind of storage for JSON data. What is JSON?

Key Differences between a Traditional Data Warehouse and Big Data

Perficient Data & Analytics

Traditional data warehouse solutions were originally developed out of necessity. The data captured from these traditional data sources is stored in relational databases comprised of tables with rows and columns and is known as structured data. So how do you make the data gathered more useful? This process begins with data consolidation tools like Informatica or Oracle Data Integrator. What is Big Data? Multi-Structured Data.

Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier

Ontotext

But while the exponential growth of information is a welcome development for medical research, analyzing these vast amounts of data is time-consuming and, often, inefficient. The Solution to the Data Challenge.

Cloudera Data Warehouse – A Partner Perspective

Cloudera

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Director of Products and Solutions, Arcadia Data.

Handling real-time data operations in the enterprise

O'Reilly on Data

Getting DataOps right is crucial to your late-stage big data projects. Data science is the sexy thing companies want. The data engineering and operations teams don't get much love. Let's call these operational teams that focus on big data: DataOps teams.

AI Summit: Tagging Medical Records Create Vital Data and Analytics

Perficient Data & Analytics

Doug Kemp of Innodata spoke about getting key medical data into a form that can be understood and used. Like many things, components of AI can parse and understand this data but it can’t be done by itself. 85% of those that will fail due to data issues.

Text Analytics – Understanding the Voice of Consumers

BizAcuity

Text analytics helps to draw the insights from the unstructured data. Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. into structured data to develop actionable managerial insights to enhance their operations.