How is AI reshaping the future of operations?

This week at the Paris 2024 « Big Data & AI » salon, the IRIS team dove deep into the latest trends shaping our industry. Here are our key takeaways:

Data Products Management: Unified management of data artifacts is crucial. The fragmented technology landscape makes it challenging to see clearly, but new approaches are providing comprehensive views, enabling better cataloguing and lifecycle management. AI is automating mapping and documentation.

Data Quality: Companies now invest in continuously improving data quality, given its critical importance. This task remains meticulous, but tools for automated data quality control are emerging. GenAI and AutoML are making it easier for non-technical profiles to define control rules.

First GenAI Deployments: We are seeing success stories in enhancing employee productivity, automating customer relations, and enabling complex systems. However, challenges such as model costs, deployment, and the fast-evolving tech landscape remain.

From Data Platforms to AI Platforms and Self-Service AI: Specialized AI agents are needed to equip all business functions. A unified platform is essential for scaling, and citizen developers are going to play a crucial role. New-generation self-service AI platforms are supporting them in this journey.

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