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Tableau repositions for AI, unveils new knowledge layer
The Agentic Analytics Platform is designed to help users operationalize contextually relevant data for agents and demonstrates the vendor's ongoing evolution.
Problem Solve
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems.
News
Qlik's Capone departs after eight years as CEO
With AI the dominant trend in data and analytics, the vendor's leader leaves after guiding it through its cloud transition and additions of data integration and AI capabilities.
News
Latest SAS capabilities focus on fostering reliable AI
Features including an MCP server and a framework for developing agents aim to enable trustworthy AI-powered analysis while also helping the vendor catch up to its competition.
Trending Topics
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Data Science & Analytics News
Qlik's Capone departs after eight years as CEO
With AI the dominant trend in data and analytics, the vendor's leader leaves after guiding it through its cloud transition and additions of data integration and AI capabilities.
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BI Technology News
GoodData joins agentic AI development mix with Agent Builder
Automatic connections to relevant data through a context layer and a no-code development interface aim to simplify building context-aware, cutting-edge applications.
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BI Management Problem Solve
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems.
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Data integration News
Data quality, fast failures and quick wins key to AI success
Despite many organizations struggling to realize value from their development initiatives, best practices can help, according to industry experts at Domo's annual user conference.
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Data Visualization News
ThoughtSpot automates full platform with new Spotter agents
With agents for data modeling, dashboard development and embedding applications, the vendor is simplifying processes that have historically slowed analytics workflows.
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Data governance Get Started
How to develop a data governance strategy: 7 key steps
A strong data governance strategy enables more effective data use and helps prevent financial, legal and reputational problems. Follow these steps to develop one.
Sponsored Sites
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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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Aerospace
Wind River For Aerospace & Defense
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Evaluate
How business leaders can make a data-literate culture stick
Data literacy is an ongoing, interactive process. With executive support, a data-literate culture eases backlogs, improves AI outcomes and fosters better decision-making.
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AI in business intelligence: How to manage it effectively
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Top data preparation challenges and how to overcome them
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8 benefits of using big data for businesses
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Problem Solve
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems.
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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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Overcoming the top 3 analytics adoption challenges
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Manage
Build a data literacy program to fit company needs
Want better decisions? Invest in a role-based data literacy program that aligns training to workflows, builds trust in metrics and improves execution on business goals.
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9 data analytics biases and how executives can address them
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Build a business intelligence team to optimize data use
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Improving business forecasting with synthetic data and simulation modeling
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Business Analytics/Business Intelligence Basics
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Get Started
AI in business intelligence: How to manage it effectively
AI tools are becoming a key part of BI systems, both to streamline tasks and add new analytics capabilities. Here's how to successfully integrate AI into BI processes.
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Get Started
data visualization
Data visualization translates information into charts, maps or other graphics to show patterns, trends and outliers in a way that can be grasped quickly.
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Get Started
6 essential big data best practices for businesses
These best practices can help data leaders create an effective big data strategy that meets an organization's analytics needs and delivers valuable business benefits.
Multimedia
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Data science and analytics
Qlik's Capone departs after eight years as CEO
With AI the dominant trend in data and analytics, the vendor's leader leaves after guiding it through its cloud transition and additions of data integration and AI capabilities.
-
Data science and analytics
Latest SAS capabilities focus on fostering reliable AI
Features including an MCP server and a framework for developing agents aim to enable trustworthy AI-powered analysis while also helping the vendor catch up to its competition.
-
Business intelligence technology
GoodData joins agentic AI development mix with Agent Builder
Automatic connections to relevant data through a context layer and a no-code development interface aim to simplify building context-aware, cutting-edge applications.
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