AltexSoft

MAY 5, 2023

The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing. Deep Learning is a subset of machine learning that focuses on building complex algorithms named deep neural networks.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

Knowledge Hut

JANUARY 3, 2024

The future of travel, employment, and adventure is being shaped by robotics, one of the disciplines of technology developing the fastest. Several innovative robotics technologies will play a significant part in daily living. Things are getting even better thanks to ancillary developments in AI , computing, and IoT. What is Robotics?

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Entertainment Manufacturing Food Transportation 98

Knowledge Hut

JUNE 13, 2024

Now when this technology is applied to the medical field, it can help monitor patient health. Predictive analytics in healthcare also helps: Manage chronic diseases Monitor and analyze the demand for pharmaceutical logistics Predict future patient crisis Deliver faster hospital data documentation 7. Join us today!

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52

Knowledge Hut

JANUARY 18, 2024

Read on to know more about this relatively new technology tool that is taking the world by stride. Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. It also helps organizations to maintain complex data processing systems with machine learning. What is Data Science?

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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.

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Scott Logic

SEPTEMBER 13, 2024

As ML technology advances, the role of a test engineer also changes. Let’s look at the practical application of the above strategies with a case study of an ML model predicting patient re-admission after discharge Consider a hospital implementing an ML model to predict the likelihood of patients being readmitted within 30 days of discharge.

Medical 52

Medical Hospitality Datasets Machine Learning 52

AltexSoft

SEPTEMBER 19, 2023

Internal systems — like a property management system (PMS) in hospitality, a passenger service system (PSS) used by airlines, or an OTA back office — are the backbone and the most relevant source of transaction details, booking histories, and inventory data for a travel business. geolocation, profiles, and feedback. Choose analytical tools.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

AltexSoft

AUGUST 27, 2022

All these prompt the pharma industry to seek help from new technologies — and namely, artificial intelligence (AI) which holds a promise to speed up and otherwise improve drug discovery. HTS automates testing against targets, employing sensitive detectors, robotics, data processing software, and other technologies. Source: Deloitte.

Medical 52

Medical Deep Learning Algorithm Machine Learning 52

AltexSoft

FEBRUARY 21, 2023

Check out our video on how revenue management works in hospitality. Before the advent of machine learning, prediction activities were largely manual, time-consuming, and relied heavily on the experience of hotel managers. This technology enables anticipating future trends and estimating ADRs for hotel or vacation rental properties.

Hospitality 52

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U-Next

SEPTEMBER 22, 2022

It is possible, for example, to predict how many patients will be admitted to the hospital next week, next month or the remainder of the year based on the number of stroke patients admitted to the hospital in the last four months. . Data that is structured, such as spreadsheets or machine data, is used in machine learning (ML).

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

Tweag

APRIL 19, 2023

Machine Learning (ML). Deep Learning. In particular oncology, a branch of medicine that focuses on cancer, could benefit immensely from these new technologies, which may enable clinicians to detect cancer earlier and increase chances of survival. Artificial Intelligence (AI). Neural Networks (NNs).

Medical 60

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ProjectPro

JUNE 1, 2017

Source : [link] ) Zensar Technologies launches big data enabled platform.EconomicTimes.IndiaTimes.com, May 16, 2017. Source : [link] ) The Elephant In The Room With Hadoop: It Offers Rich Technology With Slimmer-Than-Expected Margins. (Source : [link] ) Medical big data to be pooled for disease research and drug development in Japan.

Hadoop 52

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ProjectPro

DECEMBER 10, 2021

And one can easily comprehend the statistics if one considers the various industries (law enforcement, healthcare, education, finance, and technology) that can benefit from Business Intelligence tools. After cleaning the dataset, use machine learning algorithms like Naive Bayes, Random Forests, KNN to cluster similar hotels together.

Business Intelligence 52

Business Intelligence Coding Project BI 52

AltexSoft

MAY 30, 2022

So, it makes sense that more and more companies are looking for a way to implement conversational artificial intelligence (AI) technology to streamline these processes. Let’s dive deeper into core technologies that enable machines to do these awesome things. Conversational AI key concepts and technologies.

Banking 52

Banking Machine Learning Deep Learning Algorithm 52

AltexSoft

JUNE 9, 2023

ChatGPT continues to reshape industries, redefining how we interact with technology. We’ll highlight our company’s experience demonstrating how we’ve used ChatGPT within travel technology. This practical exploration can help spark your imagination on how this cutting-edge technology could redefine your field.

Project 52

Project Java Hospitality Transportation 52

AltexSoft

JUNE 26, 2023

Read our article on Hotel Data Management to have a full picture of what information can be collected to boost revenue and customer satisfaction in hospitality. Set up data storage technology. Here, we’ll review the most common technologies streamlining data gathering. Define what information you need to collect.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

FEBRUARY 16, 2022

The 19 layers deep convolutional neural network did not follow the ongoing trend of using high dimensional convolutional layers but instead used simple 3x3 convolutional layers. Over the past decade, the industry has evolved, and the adoption of AI/ML-based technologies has seen a significant upsurge. PREVIOUS NEXT <

Architecture 52

Architecture Deep Learning Banking Datasets 52

AltexSoft

MAY 12, 2021

The list of improvements brought by AI-backed technology embraces. Read our article Deep Learning in Medical Diagnosis to get more information about applications for AI in medical image analysis and barriers to adoption of machine learning in healthcare. Data de-identification / anonymization. CNN layers in brief.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

FEBRUARY 16, 2023

In today's world, we see numerous applications of technological innovation, mainly how the Internet of Things (IoT) and Artificial Intelligence play a significant role in transforming how tech applications function. At the core of such applications lies the science of machine learning, image processing, computer vision, and deep learning.

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ProjectPro

AUGUST 28, 2021

OLA Rides Request Demand Forecast Project with Source Code and Guided Videos Machine Learning Projects(ML Projects) in Healthcare and Technology 1. ML Project for Medical Image Segmentation with Deep Learning This project segments medical colonoscopic images/scans and detects colon polyps present in the frames.

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ProjectPro

AUGUST 2, 2021

The technology forerunners and the world-renowned conglomerates such as Google, Apple, Microsoft, and Amazon dabble in Image processing. While this is not particularly hard to implement, there is much to learn from precisely understanding how the classifier works. Alternatively, you can use the masks for the Shenzhen Hospital dataset.

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Coding Python Process Project 40

ProjectPro

DECEMBER 1, 2017

Big data has even helped identify for what purpose they had to go to the hospital and what prescription they have been cashing in. AI-integrated mobile and web applications -AI driven technologies like machine learning and deep learning to play a major role in the development of mobile and web apps for real-time predictions.

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

DareData

JULY 29, 2020

We have heard news of machine learning systems outperforming seasoned physicians on diagnosis accuracy, chatbots that present recommendations depending on your symptoms , or algorithms that can identify body parts from transversal image slices , just to name a few. Deep learning models are vulnerable against malicious adversarial examples.

Data Pipeline 52

Data Pipeline Healthcare Medical Pipeline-centric 52

ProjectPro

FEBRUARY 8, 2017

2017 will see a continuation of these big data trends as technology becomes smarter with the implementation of deep learning and AI by many organizations. .” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World."

Big Data 40

Big Data Hadoop Data Lake Machine Learning 40

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. It can be used for facial emotion recognition.

Algorithm 52

Algorithm Medical Datasets Python 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. It will use the same tool, Azure Pureview, and help you learn how to perform data ingestion in real-time.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

JANUARY 11, 2024

For this purpose, a data enthusiast needs to stay updated with the latest technological advancements in AI. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science. Wearable Technology Wearable technology is a multi-billion-dollar industry.

Data Science 98

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U-Next

SEPTEMBER 12, 2022

Smart technologies have been introduced to the world, allowing people and organizations to link their preferred products and services via electrical gadgets with built-in sensors. Even before the epidemic, emerging technology ruled the corporate world. Even before the epidemic, emerging technology ruled the corporate world.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Banking 52

ProjectPro

OCTOBER 25, 2021

Researchers at Purdue University in Indianapolis have developed a machine-learning algorithm that predicts the relapse rate for myelogenous leukemia with 90% accuracy. Source Code - Medical Image Segmentation Deep Learning Project 3. The algorithms are trained to recognize complex patterns in radiographic images.

Healthcare 52

Healthcare Machine Learning Project Medical 52

ProjectPro

JULY 10, 2021

However, R is unparalleled today for diverse time series applications except for applications that require LSTM and other deep learning models to be implemented, in which case Python works best. Various hospitals and healthcare systems are now using AI and ML apps in cardiology and others.

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U-Next

OCTOBER 27, 2022

One technology that has benefited from AI’s ability to streamline processes is speech recognition. We can now convert voicemails to text with this cutting-edge technology. AI in Speech Recognition Technology . Use Cases of AI in Speech Recognition Technology . billion from 4.2 billion in 2020.

Technology 40

Technology Insurance Hospitality Machine Learning 40

AltexSoft

DECEMBER 15, 2021

Before diving deeper into technological aspects, let’s take a closer look at key AutoML use cases. Below are several real-life examples, proving the practicality of automated machine learning across different industries. Google entered the automated machine learning area in 2018. AutoML use cases. Neural architecture search.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59