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Customer Spotlight: Aware Super’s Journey to Critical Data Elements Compliance Registration Banner

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Customer Spotlight: Aware Super’s Journey to Critical Data Elements Compliance

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.

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Unleash the Power of Trusted Data for Cutting-Edge AI

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.

Webinar: Improving Data Literacy and Compliance for Energy & Utilities

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Improving Data Literacy and Compliance for Energy & Utilities

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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From Data to Business Value: Unlocking the Power of Data Products and AI

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:

Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance

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Building AI You Can Trust: Driving Business Value with Data Quality, Observability, and Governance

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.

Building a Robust Data Governance Framework for MAS Regulatory Compliance

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Building a Robust Data Governance Framework for MAS Regulatory Compliance

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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Navigating AI Governance: How Interac Builds Trust and Innovation

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. 

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Cloud Data Migration in Action

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?

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Strategies for AI Governance: Ensuring Trust and Innovation in Advanced Analytics

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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