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With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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How to implement a business intelligence project in 7 steps
The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.
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Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications and using them in complementary ways enables a comprehensive data analysis strategy.
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How to build an effective business intelligence strategy
Explore the eight steps organizations need to develop and implement a successful business intelligence strategy, as well as some of the challenges staff can encounter.
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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.
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BI Technology News
With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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BI Management Get Started
How to implement a business intelligence project in 7 steps
The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.
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Data integration News
Snowflake unveils AI development, security capabilities
The vendor's latest includes additions to Cortex AI that simplify developing conversational AI tools and new security measures after its environment was infiltrated in May.
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Data Visualization Get Started
7 skills for improved data visualizations
Great data visualizations require a combination of analytics, design and communication. Master seven key skills for data visualizations to effectively communicate data insights.
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Data governance Get Started
Noninvasive data governance offers friendly approach
Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as components of a governance program.
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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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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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IT Modernization
New Imperatives For IT: Driving Success in a Changing World
Learn how to leverage technologies such as hybrid cloud, AI, hyperconvergence, all-flash storage and more—all of which are vital to IT and business transformation success in 2021 and beyond.
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Evaluate
The future of business intelligence: 10 top trends in 2024
Various trends are affecting the current state of BI initiatives and their future direction. Here are 10 key ones that corporate leaders and BI teams should be aware of.
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AI in business intelligence: Uses, benefits and challenges
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10 top benefits of business intelligence for companies
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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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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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Top BI challenges and tips on how to overcome them
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7 examples of augmented analytics in the enterprise
Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.
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Use LLMs for data analysis to improve business operations
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Business Analytics/Business Intelligence Basics
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Get Started
How to implement a business intelligence project in 7 steps
The BI implementation process involves a series of steps that organizations need to take to ensure projects are completed successfully and meet business goals.
-
Get Started
Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications and using them in complementary ways enables a comprehensive data analysis strategy.
-
Get Started
How to build an effective business intelligence strategy
Explore the eight steps organizations need to develop and implement a successful business intelligence strategy, as well as some of the challenges staff can encounter.
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Business intelligence technology
With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications.
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Business intelligence technology
ThoughtSpot AI agent Spotter enables conversational BI
The analytics vendor's new tool not only enables users to converse with data using natural language, but also has contextual awareness and autonomously makes suggestions.
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Business intelligence technology
SAS acquires synthetic data generator to aid AI development
The longtime analytics vendor plans to fold the intellectual property of Hazy into its existing synthetic data generation capabilities to help customers safely build AI tools.
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