AltexSoft

SEPTEMBER 19, 2023

For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years. Businesses selling vacation rentals can take advantage of data collection from AirDNA , Mashvisor , and others. Assemble a data science team.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

Knowledge Hut

NOVEMBER 20, 2023

AI in Customer Service AI for customer service, also known as AI customer support, uses AI technology, like chatbots and virtual assistants, to improve and automate various elements of customer care and support. Additionally, new technology may change how customer service solutions are created.

Machine Learning 52

Machine Learning Utilities Entertainment Technology 52

Knowledge Hut

OCTOBER 24, 2023

However, most of the day, analysts work with technology; therefore, if you are averse to modern technology, this isn't your profession. They can access, retrieve, manipulate, and analyze data using this. They must create, delete, select, update, insert and do other things to define and change data.

Business Analyst 98

Business Analyst Business Intelligence SQL Programming Language 98

ProjectPro

APRIL 19, 2021

The report also projected that 96% of the organizations are likely to hire permanent analysts with the relevant skillsets to fill the future big data analytics job roles. Apart from over half-million available analytic jobs, data analytic jobs are projected to grow 21.5% Build and deploy data collection systems.

Portfolio 40

Portfolio Data Finance Certification 40

Knowledge Hut

JANUARY 30, 2024

OCR (Optical Character Recognition): OCR technology is employed to extract text from scanned documents, images, or handwritten notes. Data Streaming: For real-time data extraction, streaming methods are used to continuously collect and process data as it becomes available.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 22, 2021

Seamless and rapid integration of AI and cloud-based technology has given rise to a massive demand for artificial intelligence and cloud computing professionals. Knowledge mining uses a combination of intelligent services to quickly extract and learn from vast amounts of data. You can use the Inventory Management dataset from Kaggle.

Project 52

Project Cloud Computing Datasets Machine Learning 52

U-Next

AUGUST 26, 2022

Companies may use Data Analytics to evaluate their data (historic, genuine, unorganized, subjective), find connections, and provide insight that can guide and, in some circumstances, automate choices, bridging knowledge and actions. Data Analytics Illustration. Four Types of Data Analytics.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

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. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

OCTOBER 20, 2022

In reality, computers, data, and algorithms are not entirely objective. Data analysis can indeed aid in better decision-making, yet bias can still creep in. It’s we, humans, that technologies and algorithms. In more detail, let’s examine some biases affecting data analysis and data-driven decision-making. .

Data Collection 40

Data Collection Algorithm Datasets Data Analysis 40

ProjectPro

MARCH 14, 2014

A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. In 2015, big data has evolved beyond the hype. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

U-Next

AUGUST 3, 2022

The Big Data age in the data domain has begun as businesses cope with petabyte and exabyte-sized amounts of data. Up until 2010, it was extremely difficult for companies to store data. Now that well-known technologies like Hadoop and others have resolved the storage issue, the emphasis is on information processing.

Retail 52

Retail Data Science Computer Science Entertainment 52

U-Next

SEPTEMBER 21, 2022

Data mining is the systematic assessment of datasets to discover potentially relevant trends and correlations. The fundamental purpose of Data Mining is to process and obtain information from data collection. . Data mining is a broad and complex process with several components. . Functionality . Medicine .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40