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 statsUsing AI to connect siloed data sourcesFinding patterns across dimensionsCombining quant data with qualitative dataDetecting anomalies earlyPrescribing data-driven actionsAnthony 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.About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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