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Agents, semantic layers among top data, analytics trends
The top 10 predictions for the next few years are all influenced by the increasing deployment of AI to help make business decisions and take action.
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ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
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Latest Databricks tools use AI to simplify AI development
Fueled by user feedback, the vendor's newest features include a framework that automates building agents and a no-code interface for creating the pipelines that feed applications.
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7 top cloud-based analytics tools for enterprise use
Cloud-based analytics tools offer flexible deployment, advanced visualization and integration capabilities to help organizations turn data into actionable insights.
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Data Science & Analytics News
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
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BI Technology News
ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
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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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Wind River For Aerospace & Defense
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Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
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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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7 top cloud-based analytics tools for enterprise use
Cloud-based analytics tools offer flexible deployment, advanced visualization and integration capabilities to help organizations turn data into actionable insights.
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What is data preparation? An in-depth guide
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8 top cloud analytics certifications
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8 top self-service analytics tools
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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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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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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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Get Started
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
- The SecOps Handbook to TDIR –White Paper
- How to Democratize Analytics –eBook
- Empowering Enterprises with AI: Entering the Era of Choice –White Paper
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Data science and analytics
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications.
-
Business intelligence technology
ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry.
-
Data science and analytics
Latest Databricks tools use AI to simplify AI development
Fueled by user feedback, the vendor's newest features include a framework that automates building agents and a no-code interface for creating the pipelines that feed applications.
Search Business Analytics Definitions
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