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Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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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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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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Data Science & Analytics Evaluate
Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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BI Technology News
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing features aimed at enabling users to create cutting-edge applications capable of autonomous action.
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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 Evaluate
Data warehouse vs. data mart: Key differences and use cases
Data warehouses support integrated, governed reporting, while data marts offer faster, focused insights. Together they provide scalable, adaptable data strategies.
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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 Manage
Enterprise data platforms adapt for GenAI and agentic AI
Generative and agentic AI are redefining enterprise data strategy as platforms evolve to support new demands for quality, access and governance.
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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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Linux Solutions
eLxr Pro: Linux for Cloud-to-Edge Deployments
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Artificial Intelligence
HPE & Intel: Harness AI
Learn how HPE & Intel are pioneering advancements in artificial intelligence (AI) and machine learning (ML) technologies. As a global leader in semiconductor innovation, Intel continues to drive the evolution of AI across diverse industries, from healthcare and finance to autonomous vehicles and edge computing. Explore the latest developments and strategies shaping the future of AI-driven technologies.
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Evaluate
Data science applications across industries in 2025
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud.
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7 top cloud-based analytics tools for enterprise use
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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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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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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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Business intelligence technology
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing features aimed at enabling users to create cutting-edge applications capable of autonomous action.
-
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.
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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.
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