Striim

APRIL 1, 2024

It also manages schema evolution and syncs historical with live data, crucial for maintaining comprehensive and accurate datasets for AI applications. Real-Time Revenue Insights for the Hospitality Industry For the hospitality sector, understanding daily revenue streams, customer preferences, and operational efficiency is key to success.

Hospitality 52

Hospitality Transportation Google Cloud Cloud 52

Knowledge Hut

OCTOBER 29, 2023

Hospital Management System Type : Application development, Database management, Programming There is no shortage of computer science project topics out there. But if you are looking for something that's both technically challenging and socially relevant, consider a hospital management system.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

MAY 2, 2024

It achieves this using abstraction layer called RDD (Resilient Distributed Datasets) in combination with DAG, which is built to handle failures of tasks or even node failures. Apache Spark has a framework for both i.e. Spark Streaming to handle Streaming using micro batches and DStreams and Structured Streaming using Datasets and Data frames.

Scala 52

Scala Hospitality Healthcare Retail 52

AltexSoft

FEBRUARY 21, 2023

Check out our video on how revenue management works in hospitality. The complexity of the hospitality market. Including irrelevant data in the training dataset can make the model overly complex, as it tries to learn patterns that don’t actually fit the task. Hospitality data providers. Data relevance.

Hospitality 52

Hospitality Datasets Algorithm Machine Learning 52

RandomTrees

DECEMBER 20, 2023

Once trained, the model begins to answer real-world questions through an “inference engine.” Federated deep learning is also a promising technology that could improve edge AI’s privacy and security. The training process gets improved by uploading a relevant subset of raw data when uploaded to the cloud.

IT 52

IT Hospitality Healthcare Deep Learning 52

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science.

Data Science 98

Data Science Transportation Hospitality Banking 98

Knowledge Hut

OCTOBER 29, 2023

Refer to the architecture diagram below: For the scope of this project, we will consider a simple dataset and use the Azure Anomaly Detector API to detect any outliers present in it. To build the project: Download the dataset and keep it ready for use. To build the project: Download the dataset and keep it ready for use.

Project 52

Project Hospitality Food Datasets 52

Tweag

APRIL 19, 2023

In this blog post, I will explain the underlying technical challenges and share the solution that we helped implement at kaiko.ai , a MedTech startup in Amsterdam that is building a Data Platform to support AI research in hospitals. A single hospital makes many captures a day, producing terabytes of such data to store and process.

Medical 60

Medical Process Cloud Bytes 60

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.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

APRIL 23, 2024

For example, talking about the history of big data in healthcare, hospitals faced many problems earlier in patient data management, security, and privacy. A hospital’s performance depends largely on how patient data is handled, including accessing and retrieving it for various purposes.

Big Data 52

Big Data Amazon Web Services Media Cloud Computing 52

AltexSoft

JUNE 16, 2022

For example, it can help with predicting a patient’s length of stay in a hospital. If the dataset is imbalanced (the classes in a set are presented unevenly), the result won’t be something you can trust. To calculate it, you divide all True Positives by the sum of all True Positives and False Negatives in the dataset.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

OCTOBER 26, 2023

Data sources you can refer to: Walmart sales forecasting:  the dataset available from the “ Walmart store sales forecasting” project that was available on Kaggle. It includes the UCI machine learning repository and dataset. It contains weekly sales data for more than 40+ stores and 99 departments over a 3 - year period.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

AUGUST 1, 2023

Data-Driven Insights and Research: Machine learning algorithms can analyze large healthcare datasets to generate valuable insights for medical research. Hospital Operations and Resource Management: Machine learning can optimize hospital operations by predicting patient flow, bed occupancy, and resource utilization.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

DareData

MARCH 30, 2022

Hospitals within 1 kilometer radius Let's do another experiment: counting the hospitals that are within a 1000 meter radius from the houses. As you can see, by knowing the location of each house, we were able to add a lot relevant information to our dataset. This means that it will join columns if the house is within the parish.

Process 52

Process IT Hospitality Data 52

AltexSoft

MAY 5, 2023

According to “Hospitality in 2025: Automated, Intelligent…and More Personal” research by Oracle and Skift , over half of the executives responded that they’ve already implemented automated messaging for customer service requests or are experimenting with it. Autohost.ai

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. In total, datasets prepared for ML projects amount to thousands of data samples. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 25, 2021

Researchers in the University College Hospital, London, are developing algorithms using Google’s DeepMind Heath to differentiate between healthy cells and cancerous cells to ensure more targeted radiation treatment for cancerous cells. Do hospitals use machine learning? Do hospitals use machine learning?

Healthcare 52

Healthcare Machine Learning Project Medical 52

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. It can be manually transformed into structured data by hospital staff, but it’s never a priority in the medical setting. A sample from an x-ray images dataset with annotations.

Medical 52

Medical Healthcare Process Hospitality 52

ProjectPro

DECEMBER 10, 2021

One can use their dataset to understand how they work out the whole process of the supply chain of various products and their approach towards inventory management. An analysis of their dataset will also reveal how they use data science tools and techniques to estimate their daily sales and maximise their profit. to estimate the costs.

Business Intelligence 52

Business Intelligence Coding Project BI 52

AltexSoft

MARCH 28, 2022

Publicly available datasets. Download free, anonymized datasets from Inside Airbnb , a non-commercial platform that presents snapshots of Airbnb listings with reviews, calendar and over 50 data points (pieces of information describing the listing.). Airbnb instantly purchasable datasets. Special terms.

Hospitality 52

Hospitality Business Intelligence Datasets Machine Learning 52

Edureka

AUGUST 2, 2023

Data Mining Analyst: To find patterns, correlations, and linkages within huge datasets, data mining analysts employ cutting-edge algorithms and methodologies. They may conduct hypothesis testing, regression analysis, or data clustering to gain insights into patterns and trends.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Rockset

JUNE 3, 2022

We are also helping travel and hospitality companies such as Vail Resorts drive bookings and promote specials. Our campaign decision engine already relies on ML-trained algorithms, but they were built using a limited dataset due to the high cost of integrating disparate datasets.

Hospitality 52

Hospitality Aggregated Data Datasets Retail 52

AltexSoft

MAY 12, 2021

Particularly, we’ll present our findings on what it takes to prepare a medical image dataset, which models show best results in medical image recognition , and how to enhance the accuracy of predictions. What is to be done to acquire a sufficient dataset? labeling data by medical experts to create a ground-truth dataset.

Medical 72

Medical Healthcare Datasets Machine Learning 72

Knowledge Hut

DECEMBER 26, 2023

Learn about the fundamental APIs of Spark: DataFrames, SQL, and Datasets using practical examples Explore Spark's low-level APIs, RDDs, and SQL and DataFrame execution. Key Benefits After reading this book, it will enable you to analyze data from different data sources and create your datasets.

Big Data 75

Big Data Data Mining Business Intelligence Machine Learning 75

Knowledge Hut

JANUARY 3, 2024

The researchers sort through the information by categorizing concepts and ideas, starting with a qualitative dataset. This strategy aims to allow scientists to react naturally to the dataset while also grounding the outcomes in as much empirical data as feasible. The conceptual tags are organized and grouped as the study goes on.

Data Collection 52

Data Collection Hospitality Data Analysis Datasets 52

AltexSoft

MAY 14, 2021

Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. Distributed processing is used when datasets are just too vast to be processed on a single machine. What is Big Data analytics? Data ingestion.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

OCTOBER 14, 2021

The publicly available Kaggle dataset of the Tesla Stock Data from 2010 to 2020 can be used to implement this project. Maybe you could even consider gathering more data from the source of the Tesla Stock dataset. You could undertake this exercise using the publicly available Cervical Cancer Risk Classification Dataset.

Machine Learning 52

Machine Learning Project Insurance Medical 52

AltexSoft

SEPTEMBER 13, 2023

Say you’re a CTO or software engineer in the hospitality industry, and you’re integrating a generative AI chatbot to answer staff queries about your hotel’s Property Management System (PMS). Prompt engineering is used for different types of generative AI models: text-based models (e.g., ChatGPT ), image generators (e.g.,

Engineering 59

Engineering Hospitality Transportation Algorithm 59

Edureka

MAY 9, 2023

Step 12- Now we will upload the dataset to the edurekastore (storage account) and upload it in the blob. Step 11- In the left-hand menu, pick Power BI datasets (1), then hover over the 2-Billion Rows Demo dataset and click the New Power BI report icon (2). Step 11- Explore the Synapse studio workspace.

BI 52

BI Retail Datasets Machine Learning 52

ProjectPro

FEBRUARY 22, 2022

Dataset: As an example, you can use this Walmart Dataset on Kaggle. The dataset contains Walmart store sales (Year, Month, Product Category, and Sales) for 2009-2014. SQL Project Idea: You can use the dataset to create an online retail application database in SQL. Dataset: Imagine you run a chain of bookstores.

Data Analysis 52

Data Analysis SQL Project Banking 52

AltexSoft

JUNE 9, 2023

Primarily trained on extensive text datasets, they leverage learned patterns to anticipate the next word in a sentence and create contextually appropriate and grammatically sound text. Initially, they undergo unsupervised pretraining using a substantial unlabeled dataset to learn general patterns and relationships.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

AUGUST 28, 2021

Each project explores new machine learning algorithms, datasets, and business problems. The dataset contains three weeks of activity data on each driver like login time, number of hours active each day, date, and driver details like driver gender, age, id, number of kids, etc. All the activities were tracked and video recorded.

Portfolio 52

Portfolio Project Datasets Algorithm 52

ProjectPro

SEPTEMBER 9, 2021

Storytelling involves showing patterns in a given dataset and then trying to infer actionable insights from the same. Most importantly, the tool is used in the exploration phase, where it showcases vast datasets in different visualizations. Since the dataset is huge for this project, Tableau can be used in two ways.

Coding 52

Coding Project Datasets Data Science 52

ProjectPro

DECEMBER 14, 2021

Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things. In Power BI, removing columns from the dataset or modifying the data types in the columns is relatively easy.

BI 52

BI Project Business Intelligence Datasets 52

Cloudera

MARCH 2, 2018

On the program side, teams largely tend to use descriptive analytics – statistical techniques that provide insight into the past and answer: “What has happened?” – on survey data, sometimes complemented by samples from larger raw datasets, e.g. Facebook posts or tweets. In many settings this is the best information available.

Hospitality 42

Hospitality Healthcare Machine Learning Transportation 42

Knowledge Hut

MARCH 29, 2024

From massive datasets to complex tasks, quickly accessing and organizing information is key. Consider a hospital emergency room with a long line of patients. Efficiency is paramount in computer science. Enter the Binary Heap, a powerful data structure used for everything from algorithms to priority queues.

Algorithm 52

Algorithm Utilities Hospitality Software Engineer 52

ProjectPro

AUGUST 2, 2021

You can try to replicate the results by using this Kaggle dataset ImageProcessing. You can use this dataset: Tamil Neural Style Transfer Dataset for this image processing project.) cat, dog, and panda classifier dataset. The dataset made available on: [link] can be used with due acknowledgments.

Coding 40

Coding Python Process Project 40