Welcome to the Alation Resource Center
Whitepaper
Data & AI Readiness Strategy Guide
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?
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Whitepaper
5 Steps to Ensure the Success of Your Cloud Data Migration
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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Whitepaper
Data & AI Readiness Strategy Guide
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?
Download
Webinar On-Demand
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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Customer Case Study
On-Demand Delivery Service Drives AI Success by Boosting Data Trust with Alation & Monte Carlo
This same-day shopping and delivery service faced challenges with data quality, trust, and concurrent processing issues in their backend Postgres databases. To address these, the company’s data leadership implemented a comprehensive data modernization strategy. They migrated their data to the Snowflake data cloud and adopted Alation as the front end for their data for its user-friendly interface. Additionally, they implemented the Monte Carlo data observability platform to ensure data quality with real-time lineage and alerts. This integrated solution provides the delivery company with reliable, high-quality data for business reporting and AI modeling, generating the insights needed to deliver value to their customers, shoppers, and retail partners.
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Webinar Registration
Building Trust in AI: Best Practices for AI Governance from IDC's Stewart Bond
As AI becomes increasingly integral to business operations, effective governance is essential to ensure innovation remains safe, auditable, and compliant. According to IDC research, the two top concerns for organizations investing in generative AI solutions are: the lack of GenAI skills or expertise within the organization and the accuracy of AI-generated outcomes. Building AI literacy and leveraging accurate, trusted data are crucial for driving successful AI initiatives.
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Elevating Financial Services: The New Data Governance Playbook
Tap into the power of data governance with a playbook that turns compliance into innovation and widespread adoption in financial services.
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Webinar Registration
Building a Data-Literate Culture: Enhancing Decision-Making and AI Readiness
Building a data-driven culture starts with robust data literacy. How can you develop true data literacy within your organisation? Join Emyr James Head of Data, Analytics and AI Resolution Life, Patrick Bossert Data Skills Coach, Mentem by UNSW and Zach McIntryre, Field CTO Alation as they delve into strategies for advancing data literacy by employing practical techniques for stakeholder analysis, understanding data and analytics needs, and aligning your data initiatives with measurable business outcomes.
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Datasheet
Professional Services Offering: AI Readiness Accelerator
Enable Trusted AI Governance with Alation’s AI Readiness Accelerator
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Webinar Registration
Mastering Critical Data Elements: Governance Strategies Best Practices
In this webinar, discover how to unlock the full potential of your Critical Data Elements (CDEs) by focusing on where to start, how to govern them effectively, and the value they bring when managed well. We’ll explore how Alation’s powerful features can help you define, govern, and maintain trust in CDEs to drive business outcomes while meeting regulatory demands like APRA CPS 230. Learn actionable steps to establish strong CDE governance, empowering data users to make informed decisions with trusted, compliant data.
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Whitepaper
How can you achieve data leadership in the digital era?
Data-driven decision-making is easy in theory but challenging in practice. How can data leaders lay the groundwork for a business strategy that uses data as a competitive asset?
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