What if your business data could talk?

In this episode of Leveraging AI, Isar Meitis interviews Anthony Alcaraz, Chief AI Officer at Aldesis, about how AI can help businesses unlock deeper insights from all their data - both quantitative and qualitative.

They discuss how current business intelligence systems rely too much on surface-level consolidated data, masking crucial granular details and anomalies. Anthony explains how his company leverages new multidimensional AI to systematically analyze finance, operations, and other text data at scale - detecting issues and opportunities early and even prescribing solutions.

👇Topics we discussed 👇

• The problem with aggregated data analysis
•  Defining an “insight” vs just stats
• Using AI to connect siloed data sources
• Finding patterns across dimensions
• Combining quant data with qualitative data
• Detecting anomalies early
• Prescribing data-driven actions

Anthony Alcaraz is the Chief AI Officer at Aldesis, where he leverages over 20 years of experience building AI and data analytics systems for large companies.

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