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One year of MCP: Support a must for data management vendors
With most AI development initiatives focused on agentic AI, failure to provide the framework for easily connecting agents with relevant data is now a competitive disadvantage.
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Microsoft helps Premier League fuel fan experience with AI
A new app built by England's top soccer division using the tech giant's data management and development capabilities draws on decades of data to deliver personalized insights.
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Precisely intros AI capabilities to simplify data quality
The data integrity specialist's new features, including a conversational interface and a fabric for connecting governed assets, address the growing emphasis on high-quality data.
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Snowflake integrates with Nvidia to speed AI/ML workloads
Adding data science libraries featuring GPUs to the vendor's development suite aims to exponentially improve the performance of application workloads.
Trending Topics
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Data science and analytics News
Ng: Biggest benefit of AI may be unlocking unstructured data
Tech entrepreneur Andrew Ng says that in addition to autonomous action, one of the most beneficial applications of AI is enabling easy access to valuable unstructured data.
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Database Management News
6 essential data engineer skills for modern data environments
As AI automates more tasks handled by data engineers, the role is shifting from pipeline building to strategic skills that keep modern architectures adaptable.
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Data Warehousing News
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
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Data Management Strategies News
Precisely intros AI capabilities to simplify data quality
The data integrity specialist's new features, including a conversational interface and a fabric for connecting governed assets, address the growing emphasis on high-quality data.
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Data Integration News
One year of MCP: Support a must for data management vendors
With most AI development initiatives focused on agentic AI, failure to provide the framework for easily connecting agents with relevant data is now a competitive disadvantage.
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Data Governance News
New Microsoft tools connect AI agents with proper data
Semantic modeling to unite enterprise data and automated pipeline capabilities to feed applications with relevant information aim to give autonomous tools appropriate context.
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Why data semantics matters for context-aware systems
Data semantics organizes context, relationships and logic across enterprise data to create systems that understand how information connects and informs decision-making.
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6 essential data engineer skills for modern data environments
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Data contracts help build trustworthy data products for AI
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5 knowledge graph use cases in data fabric architecture
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Problem Solve
10 data governance challenges that can sink data operations
No organization can successfully use data without data governance. Address 10 data governance challenges to avoid financial loss, derailed operations and reputation damage.
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7 data cleansing best practices
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6 dimensions of data quality boost data performance
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Data lake governance: Benefits, challenges and getting started
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Manage
How AI governance manages risk at scale for enterprises
Effective oversight of AI systems requires more than technology. It relies on defined roles, coordinated risk protocols and tight collaboration across data and model teams.
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The race to build the ultimate data platform
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How AI-powered governance enables scalable AI deployment
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How data for AI is changing the modern data platform
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Data Management/Data Warehousing Basics
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Get Started
What is customer data integration (CDI)?
Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data.
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Get Started
What is data analytics (DA)?
Data analytics (DA) is the process of examining data sets to find trends and draw conclusions about the information they contain.
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Get Started
What is an entity relationship diagram (ERD)?
An entity relationship diagram (ERD), also known as an entity relationship model, is a graphical representation that depicts relationships among people, objects, places, concepts or events in an information technology (IT) system.
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Vendor Resources
- Buyers Guide To Tax Compliance Automation –Buyer's Guide
- A Complete Buyer’s Guide to HCM Technology –Buyer's Guide
- Reinventing Finance And Tax: Leaders See AI And E-Invoicing As Agents of Change –Research Content
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Data warehousing
Latest AWS data management features target cost control
As the volume and complexity of enterprise data estates increase, and the size of data workloads grows due to AI development, the tech giant aims to help users reduce spending.
-
Data management strategies
Precisely intros AI capabilities to simplify data quality
The data integrity specialist's new features, including a conversational interface and a fabric for connecting governed assets, address the growing emphasis on high-quality data.
-
Data management strategies
Snowflake integrates with Nvidia to speed AI/ML workloads
Adding data science libraries featuring GPUs to the vendor's development suite aims to exponentially improve the performance of application workloads.
Search Data Management Definitions
- What is customer data integration (CDI)?
- What is data analytics (DA)?
- What is an entity relationship diagram (ERD)?
- What is data as a service (DaaS)?
- What is data stewardship?
- What is a pivot table? How to use in Excel and Sheets
- What is Microsoft SSIS (SQL Server Integration Services)?
- What is data quality and why is it important?