When AI forces SMEs to manage their data more effectively

July 2, 2026
June 24, 2026
5
min read

Data and AI are simply a means to an end. Keeping that business-first mindset is what separates experiments from real outcomes.

A few key takeaways from the piece:

→ The most valuable AI applications address concrete business needs, with visible impact quickly across the value chain

→ The success of a data & AI project depends less on model sophistication than on the ability to connect data to business objectives

→ Maturity is rising: companies no longer just want to "test" AI, they want to embed it into their core business processes

Read the full interview here (on page 14): https://bit.ly/43PnsXh

AI & Automation
Governance & Strategy
Entreprise Analytics
AI & Automation
Governance & Strategy
Entreprise Analytics
AI & Automation
Governance & Strategy
Entreprise Analytics

Data and AI are simply a means to an end. Keeping that business-first mindset is what separates experiments from real outcomes.

A few key takeaways from the piece:

→ The most valuable AI applications address concrete business needs, with visible impact quickly across the value chain

→ The success of a data & AI project depends less on model sophistication than on the ability to connect data to business objectives

→ Maturity is rising: companies no longer just want to "test" AI, they want to embed it into their core business processes

Read the full interview here (on page 14): https://bit.ly/43PnsXh

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