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Sisense unveils new suite of AI-powered capabilities
Featuring a natural language interface and autonomous capabilities to augment human analysis, the vendor's toolkit simplifies developing and embedding advanced applications.
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New Microsoft database, analytics tools target agentic AI
New features across the tech giant's broad array of BI and data management offerings, including Fabric and OneLake, provide developers with tools for agentic AI development.
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Qlik evolves to keep up with latest AI, analytics trends
The longtime BI vendor continues to expand beyond its historical base to keep current with what's happening in GenAI and agentic development, analytics, and data management.
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4 types of simulation models used in data analytics
Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions.
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Data Science & Analytics Evaluate
8 top cloud analytics certifications
Cloud data analytics certifications enhance careers and business efficiency. Compare costs, skills taught and time required to earn top credentials.
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BI Technology News
Sisense unveils new suite of AI-powered capabilities
Featuring a natural language interface and autonomous capabilities to augment human analysis, the vendor's toolkit simplifies developing and embedding advanced applications.
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BI Management News
More reasoning, interoperability key to future of agentic AI
As agents evolve from hype to reality, research and industry must collaborate to improve agents' recall and ability to work together so that they can realize their full potential.
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Data integration News
Customers pleased with Snowflake plans for AI
Features including a multimodal data ingestion and integration service that enables access to unstructured data demonstrate the vendor's move toward enabling app development.
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Data Visualization Get Started
8 steps to improve data visualization literacy
Data visualization literacy is a crucial element of analytics -- it helps you communicate findings. These eight steps can help you improve your DVL.
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Data governance News
Addition of new AI capabilities shows Starburst's growth
The open source data lakehouse vendor continues to evolve beyond being a data mesh specialist with the additions of agentic tools, a development environment and a data catalog.
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Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
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Aerospace
Wind River For Aerospace & Defense
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Artificial Intelligence
A Guide to Unlock the Power of Private AI
Private AI is a powerful solution enabling businesses to access the insights provided by artificial intelligence securely while maintaining full control of data. While the benefits are compelling, companies must first undertake the necessary groundwork to capitalize on private AI. Explore this site to understand how private AI transforms operations across industries and how companies responsibly incorporate it into their business practices.
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What is data preparation? An in-depth guide
Data preparation is the process of gathering, combining, structuring and organizing data for use in business intelligence, analytics and data science applications, as explained in this guide.
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8 top cloud analytics certifications
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8 top self-service analytics tools
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The pros and cons of self-service analytics
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Problem Solve
Top 7 data preparation challenges and how to overcome them
Data preparation is a crucial but complex part of analytics applications. Don't let seven common challenges send your data prep processes off track.
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Top 12 business intelligence challenges to manage
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Generative AI can improve -- not replace -- predictive analytics
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Experts lay out data illiteracy's dangers, propose remedies
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Manage
The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture.
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What is a fully integrated cloud-based data analytics platform?
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5 top self-service analytics use cases
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Data preparation in machine learning: 4 key steps
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Business Analytics/Business Intelligence Basics
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Get Started
4 types of simulation models used in data analytics
Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions.
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Get Started
What is data curation?
Data curation is the process of creating, organizing and maintaining data sets so people looking for information can access and use them.
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What is unstructured data?
Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database.
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Vendor Resources
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Business intelligence management
More reasoning, interoperability key to future of agentic AI
As agents evolve from hype to reality, research and industry must collaborate to improve agents' recall and ability to work together so that they can realize their full potential.
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Business intelligence technology
Sisense unveils new suite of AI-powered capabilities
Featuring a natural language interface and autonomous capabilities to augment human analysis, the vendor's toolkit simplifies developing and embedding advanced applications.
-
Business intelligence technology
New Microsoft database, analytics tools target agentic AI
New features across the tech giant's broad array of BI and data management offerings, including Fabric and OneLake, provide developers with tools for agentic AI development.
Search Business Analytics Definitions
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