Precisely

FEBRUARY 6, 2025

For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Identify valuable legacy data: IBM Z and IBM i systems contain rich data sets that can help enhance AIOps approaches and predictive incident management. Modernizing IT operations requires a strategic, incremental approach.

IT 63

IT Management Datasets Systems 63

Christophe Blefari

OCTOBER 20, 2023

a lea prepare command that creates database objects that needs to be created (dataset, schema, etc.). 25 million Creative Commons image dataset released — Fondant, an open-source processing framework, released publicly available images from web crawling with their associated license. What are the main differences?

Generalist 130

Generalist Entertainment NoSQL Datasets 130

RandomTrees

MARCH 10, 2025

Key Components of an Effective Predictive Analytics Strategy Clean, high-quality data: Predictive analytics is only as effective as the data it analyses. Companies must ensure that their data is accurate, relevant, and up to date to provide useful insights.

Retail 52

Retail Data Governance Hospitality Banking 52

Precisely

SEPTEMBER 11, 2023

At Precisely, we recognize the value and potential of AI to help our customers work faster and smarter, and make more powerful, confident decisions grounded in trusted data – supporting our overall mission of unlocking data integrity for organizations of all kinds.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Precisely

MAY 20, 2024

Read the eBook 5 Tips to Modernize Data Integration for the Cloud Want more insights and strategies to make the most of the cloud? Migration : Prepare for long-term cloud operations, and begin to look at look at migrating your critical datasets, like legacy systems, as you establish a cloud center of excellence.

Cloud Computing 63

Cloud Computing Cloud Data Integration Project 63

Edureka

FEBRUARY 12, 2025

Integration with External Data : LangChain lets LLMs talk to APIs, databases, and other data sources. This lets them do things like get real-time information or process datasets that are specific to a topic. Tool Integration Connects LLMs to external tools for extended functionality. Some important reasons are: 1.

IT 52

IT Database Google Cloud Coding 52

Striim

SEPTEMBER 4, 2024

The world is generating an astonishing amount of data every second of every day. zettabytes in 2020, and is projected to mushroom to over 180 zettabytes by 2025, according to Statista. Today, we’ll walk you through the close connection between successful machine learning and streaming data. It reached 64.2

Machine Learning 52

Machine Learning Datasets Data Systems 52

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect. That can lead to bad decisions.

Data Governance 52

Data Governance Government Data Big Data 52

Knowledge Hut

JANUARY 18, 2024

From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. But here's the fascinating part - it's estimated that by 2025, a whopping 463 exabytes of data will be created globally every single day.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Striim

OCTOBER 11, 2024

In this architecture, compute resources are distributed across independent clusters, which can grow both in number and size quickly and infinitely while maintaining access to a shared dataset. This setup allows for predictable data processing times as additional resources can be provisioned instantly to accommodate spikes in data volume.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Knowledge Hut

OCTOBER 4, 2023

Power BI has allowed me to contribute to various pragmatic projects across various domains, from data loading to visualization. I have read that the global data sphere will hold around 80zb of data in 2021. If this trend continues to evolve, it will nearly double by 2025. What is Power BI?

BI 52

BI Systems Raw Data Data Preparation 52

AltexSoft

OCTOBER 3, 2022

They allow for representing various types of data and content (data schema, taxonomies, vocabularies, and metadata) and making them understandable for computing systems. So, in terms of a “graph of data”, a dataset is arranged as a network of nodes, edges, and labels rather than tables of rows and columns.

Relational Database 52

Relational Database Banking Media Computer Science 52

Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. So put on your cyber shades and get ready to dive into the exciting world of Cyber security vs Data science. It is expected to increase by 11% in 2023 and 20% in 2025.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Edureka

FEBRUARY 12, 2025

Integration with External Data : LangChain lets LLMs talk to APIs, databases, and other data sources. This lets them do things like get real-time information or process datasets that are specific to a topic. Tool Integration Connects LLMs to external tools for extended functionality. Some important reasons are: 1.

IT 52

IT Database Google Cloud Coding 52

ProjectPro

AUGUST 12, 2021

Global data generation will expand to 63 zettabytes (ZB) by 2025. Business Intelligence (BI) offers excellent ways to gain data insights and use them in data-driven decision-making. The tool, however, has a 3,500 datapoint limit on the datasets to perform analysis. BI market will grow to $39.35

BI 40

BI Business Intelligence Data Security Accessible 40

ProjectPro

OCTOBER 22, 2021

Artificial Intelligence is transforming the business environment, enabling organizations to rethink how they analyze data, integrate information, and use insights to improve decision-making. According to a study by Statista, the global artificial intelligence software market is forecast to reach $126 billion by 2025.

Project 52

Project Cloud Computing Datasets Machine Learning 52

ProjectPro

JUNE 24, 2021

By using the production line dataset, the goal of this data analytics python project is to predict internal failures by making use of data that contains information on tests and measurements obtained for each component. Topic modelling can also be used to classify large datasets of emails. billion in 2025.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Precisely

FEBRUARY 28, 2025

Key Takeaways: Data integrity is achieved when data has maximum accuracy, consistency, and context giving you the power to trust your data and make better business decisions. Data integrity continues to grow in importance, especially if you aim to use your data for AI, automation, and other critical business initiatives.

Data Integration 69

Data Integration Data Governance Government Data 69

Precisely

DECEMBER 5, 2024

Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Third-party data should be relevant, consistent, accessible, and trustworthy. Is data complete across pertinent geographies?

Datasets 68

Datasets Insurance Retail Data 68

Edureka

APRIL 15, 2025

Microsoft Fabric has become a key platform in the quickly changing field of data engineering, providing extensive tools for data integration, transformation, and analysis. Among the methods are: Using Lakehouses to Partition Large Datasets For efficiency, use Parquet file formats.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Precisely

FEBRUARY 25, 2025

Ultimately, better decisions rely on trusted data and trusted data requires data integrity. To achieve data integrity, you need to go beyond raw data and add the crucial element of context. Thats where data enrichment comes into the picture. First, well define data enrichment.

Raw Data 52

Raw Data Insurance Datasets Telecommunication 52

Edureka

APRIL 3, 2025

Leveraging Vast Data Sources Trained on massive internet datasets, LLMs can distill information into concise and relevant answers. Example: Google’s LaMDA – trained on extensive internet datasets to support conversational AI in Google’s search engine and assistant, providing rich and nuanced responses.

Medical 40

Medical Healthcare Datasets Architecture 40