ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. More data always improves AI performance: Poor quality data can degrade AI models rather than enhance them. Finance: Fraud detection and algorithmic trading. Excellent at handling noisy, unstructured data like images.

Deep Learning

AltexSoft

MAY 27, 2022

How many days will a particular person spend in a hospital? This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In the US, the duration of hospitalization changed from an average of 20.5 The average length of hospital stay across countries.

Hospitality

AltexSoft

OCTOBER 25, 2021

billion (Microsoft’s biggest purchase since LinkedIn), provides niche AI products for clinical voice transcription, used in 77 percent of US hospitals. Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology.

Medical

AltexSoft

OCTOBER 18, 2022

Medical data labeling. Medical or not, unstructured data — like texts, images, or audio files — require labeling or annotation to train machine learning models. This process involves adding descriptive elements — tags — to pieces of data so that a computer could understand what the image or text is about. Source: MURA.

Medical

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer's primary responsibility is the construction and upkeep of a data warehouse. In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources.

Data Science

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning

Knowledge Hut

MAY 2, 2024

Spark is being used in more than 1000 organizations who have built huge clusters for batch processing, stream processing, building warehouses, building data analytics engine and also predictive analytics platforms using many of the above features of Spark. Some of these algorithms are also applicable to streaming data.

Scala

AltexSoft

JUNE 26, 2023

Note that in many cases, the process of gathering information never ends since you always need fresh data to re-train and improve existing ML models, gain consumer insights, analyze current market trends, and so on. Key differences between structured, semi-structured, and unstructured data.

Data Collection

AltexSoft

DECEMBER 15, 2021

On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. It boosts the performance of ML specialists relieving them of repetitive tasks and enables even non-experts to experiment with smart algorithms.

Machine Learning

ProjectPro

JUNE 1, 2017

(Source : [link] ) Medical big data to be pooled for disease research and drug development in Japan. QSS is a deep learning product and service offering by the popular hadoop vendor that will enable the training of compute intensive deep learning algorithms. Source - [link] ) The siren song of Hadoop.ComputerWorld.com, May 23, 2017.

Hadoop

Tweag

APRIL 19, 2023

Detecting cancerous cells in microscopic photography of cells (Whole Slide Images, aka WSIs) is usually done with segmentation algorithms, which NNs are very good at. Marini et al This results in a very large amount of data for a single slide, often a few gigabytes per slide, which is all stored in one big file.

Medical

Edureka

AUGUST 2, 2023

Data processing analysts are experts in data who have a special combination of technical abilities and subject-matter expertise. They are essential to the data lifecycle because they take unstructured data and turn it into something that can be used.

Data Process

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . An evaluation of a sequence of data points over a period of time is carried out using this model. Types Of Predictive Models . Random Forest .

Hospitality

Knowledge Hut

NOVEMBER 16, 2023

More and more companies are focusing on hiring data scientists to help them unlock the true potential of their businesses and channelize maximum profits. A data scientist is a person expert in analytics, especially gathering and evaluating large chunks of structured and unstructured data to find trends and proper data management.

IT

ProjectPro

FEBRUARY 8, 2017

However, this does not mean just Hadoop but Hadoop along with other big data technologies like in-memory frameworks, data marts, discovery tools ,data warehouses and others that are required to deliver the data to the right place at right time.

Big Data

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data? Big data is often denoted as three V’s: Volume, Variety and Velocity. We will discuss more on this later in this article.

Big Data Tools

ProjectPro

MARCH 15, 2016

Such large commercial banks can leverage big data analytics more effectively by using frameworks like Hadoop on massive volumes of structured and unstructured data. Hadoop allows us to store data that we never stored before. Big Data and Hadoop technology is also applied in the Healthcare Insurance Business.

Hadoop

AltexSoft

SEPTEMBER 21, 2023

These indices are specially designed data structures that map out the data for rapid searches, allowing for the retrieval of queries in milliseconds. As a result, Elasticsearch is exceptionally efficient in managing structured and unstructured data. Real-time behavior modeling with ML. Business workflow automation.

Engineering

Knowledge Hut

DECEMBER 27, 2023

An MBA in Hospitality and Tourism is one wise choice to go for. A career in Data Science Data Science is a study interrelated and disciplinary field that employs maths, science algorithms, advanced analytics, and Artificial Intelligence(AI). In recent years, the demand for Data Scientists has grown on a huge scale.

Banking

ProjectPro

AUGUST 24, 2021

Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.

Data Engineering

Cloudera

OCTOBER 21, 2020

The Insurance industry is in uncharted waters and COVID-19 has taken us where no algorithm has gone before. Another example can be found in health insurance, when evaluating the long-term health effects of COVID-19, based on limited, changing data. . And the approach extends to insurers. CLOUD-ENABLED EVOLUTION .

Insurance