ArVision Quarterly Newsletter: AI and the Golden Source of Data

Inside this edition

Artificial intelligence brings a seduction unmatched in recent years. Clean data is at the foundation of a successful AI model. But systems can only manage information; they don't gut-check what they ingest. As firms increasingly rely on AI to perform assignments from rote tasks to calculating advanced algorithms, the value of clean, accessible, and trustworthy data has never been more important.

In this edition of the ArVision Newsletter, we explore:

Why your AI is only as good as your data

Quality data is the foundation of any AI model. With that comes demands to create a strong data catalog, enable exploration, support governance, integrate tooling, support responsible AI, and manage cultural shifts. Are you ready?

The intersection of data integrity and AI

When accuracy is paramount and decisions are made in split seconds, the intersection of data quality, governance, and AI becomes crucial.

Using clean data to elevate AI's potential

Sophisticated tools such as AI offer an allure hard to ignore — but they only work when information is accurate and useable. Accessible, clean, and trustworthy data is imperative.

Modeling AI's banking revolution

The buzz around AI’s capabilities — and its risks — has reached a fever pitch in recent years. Banks must be ready to prioritize data quality and infrastructure as they embrace the latest technology defining the future of finance.

Where are we on the AI hype cycle?

Where exactly is the industry when it comes to leveraging AI’s power? We connected with generative technology leader, David Neigler, for his insights.