Data & Business Intelligence - Blueprints
Topics
Revolutionize Risk Management With Agentic AIThis keynote delivered at Info-Tech LIVE 2026 in Las Vegas presents opportunities to use agentic AI in your risk management practices today, and emerging use cases that... |
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Run IT By the NumbersLearn more about adopting a CEO mindset and running IT by the numbers in this LIVE 2025 keynote presentation. |
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Assessing the AI EcosystemThe AI ecosystem is much more than just an AI model, requiring configuration, data collection, machine resource management, and more to drive value. |
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Define the Components of Your AI ArchitectureThe lightning-fast evolution of the AI landscape makes it a challenge for IT to integrate new AI systems and use cases into existing infrastructure. Our research provides a... |
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Sprint Toward Data-Driven Culture Using DataOpsData teams struggle in many areas including a quick and iterative approach for converting an analytics/algorithm into a production-ready reusable and integrated software.... |
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Build a Data Pipeline for Reporting and AnalyticsData management has distinct phasing. Fitting all phases inside a single data warehouse environment creates an unmanageable monster. Instead, think of creating a... |
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Establish Your Adaptive AI Governance Program: From Principles to PracticeAI is evolving at a dizzying pace. Traditional governance frameworks for safe, responsible, and compliant AI use are struggling to keep up – too static to nimbly adapt when... |
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Business Intelligence and Analytics Platform Selection GuideBusiness intelligence and analytics solutions are becoming increasingly essential tools, transforming organizational data into actionable insights that inform and guide... |
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Launch Your AI Proof of ConceptThe purpose of this project is to identify relevant capabilities to support your AI use case, validate AI use cases against business requirements, and select vendors to... |
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Prepare for AI RegulationGenerative AI introduces new risks, and several institutions are introducing guidance or legislation to mitigate the risks involved in deploying AI-based technologies. |
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