Whitepaper
The AI data race is on! Is your data in shape to compete? Increasingly, leaders are confronting a formidable obstacle in the race to leverage their data for AI: poor data quality. How can leaders implement a data quality program that improves their chances for AI success?
Read this white paper to learn:
Why data quality is so important for AI initiatives today
How to create a data quality framework to support AI at scale
Best practices for data governance and goal-setting for your AI use case
This guide is designed for data management professionals curious to learn how a data intelligence platform can help them up-level their data quality tactics in pursuit of successful AI initiatives.
Webinar Registration
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.
Analyst Report
Are you finding it challenging to grasp the concept of data products and how to manage them effectively to deliver value from data faster? Gain the clarity you need with What Do D&A Leaders Need to Know About Data Products, authored by industry expert Ehtisham Zaidi.
Webinar Registration
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.