Solution Brief
How Alation and Snowflake support global insurers
Information is power. In the insurance industry, great info empowers smart decision making. To stay ahead of the game, insurers need accurate data around revenue and risk in real time. Complex regulations and global catastrophes complicate the challenge. How can an insurance enterprise compete?
With a modern data platform that puts people first. This case study from Alation and Snowflake deep-dives into their data governance strategy with a success story. Together, Alation and Snowflake have streamlined data usage at Texas Mutual Insurance Company (TXM). Today, TXM leverages data as an asset to make smarter choices more quickly.
Download this white paper to learn:
What new industry pressures are pushing insurers to adapt
How Alation and Snowflake provide consolidated, actionable, trusted information
About the information architecture enabling data intelligence for insurance
How TXM reduced delivery time of key business dashboards by 80%
Get ready for the future of the insurance industry. Get your complimentary copy of this case study today.
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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. Join 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.
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?
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.