Remove Business Intelligence Remove Data Governance Remove Predictive Analytics
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10 AI Conferences in the USA (2025): Connect with Top AI and Data Minds

Data Science Dojo

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

AI 250
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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. The integration of these technologies helps companies harness data for growth and efficiency.

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Enabling AI-powered business intelligence across the enterprise

IBM Journey to AI blog

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence.

Analytics 203
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Financial Data & AI: The Future of Business Intelligence

Defined.ai blog

From voice assistants like Siri and Alexa, which are now being trained with industry-specific vocabulary and localized dialogue data , to more complex technologies like predictive analytics and autonomous vehicles, AI is everywhere. Data Quality For AI to produce reliable results, it needs high-quality data.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . – Public sector data sharing.