Whitepaper
Leaders are under mounting pressure to implement AI that drives business results. How can they ensure their data is ready to fuel AI models that succeed?
Whitepaper
The cloud is now a strategic asset, but migrating data can be complex. Learn how to make a seamless transition and turn your cloud data warehouse into a valuable business tool.
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In today’s data-driven landscape, effective governance and management of Critical Data Elements (CDEs) are essential for maintaining organisational efficiency, ensuring regulatory compliance, and driving informed decision-making. As organisations continue to face the challenges of managing vast amounts of data, understanding which data elements are critical and ensuring their alignment with compliance regulations becomes paramount.
Webinar On-Demand
Using Alation’s Data Quality Processor (DQP) and Snowflake’s Data Metric Functions (DMFs) you can automate data quality checks, centralize intelligence, and provide teams with reliable, AI-ready data. Together, with Anblicks, we’ll showcase proven strategies, grounded in both practical experience and leading research, for implementing these solutions at scale.
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As regulations continue to evolve in the energy and utilities industry, organisations are increasingly turning to data to ensure compliance while driving better business outcomes. Navigating compliance, pricing strategies & data governance has never been more important.
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Unlocking business value from data and AI requires more than dashboards and reports—it demands data products that deliver real impact. In this panel discussion, Alation brings together visionary data leaders, including an Alation customer and experts from CDO Magazine community, to share how organizations can:
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In today’s fast-paced business environment, the pressure to adopt AI and generative AI technologies is greater than ever. But here’s the catch: AI can only deliver value if it’s trusted. How do you ensure your AI systems are accurate, secure, and compliant? It starts with a strong foundation built on data quality, observability, and governance—three critical pillars that work together to create trustworthy AI.
Webinar On-Demand
In the rapidly evolving regulatory landscape, ensuring compliance with data governance standards is crucial for organizations operating in Singapore. The Monetary Authority of Singapore (MAS) has introduced new data governance guidelines to enhance data protection, transparency, and risk management practices.
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As organizations invest in AI, effective governance is crucial to maintain safety and compliance. But did you know it's also critical for creating a consistent framework for innovation? Interac, a leader in digital payments, has partnered with Alation to build a robust AI governance framework. Hear Mohit Sirpal and Shubneet Bharwani from Interac as they share expert insights on creating a trusted data environment for AI. Learn how Interac leverages data intelligence to enable self-service, transparency, and traceability in their AI processes, ensuring they are prepared for future AI initiatives.
Webinar On-Demand
Are you maximizing the value of your data in legacy systems, or is it time to modernize with cloud migration and tap into new opportunities?
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.
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