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Experts say AI initiatives depend on trusted, well-governed data, warning that poor data quality can reduce accuracy, delay projects and increase security risks.

As organizations reassess customer service contracts, billing models are increasingly being aligned with business performance rather than interaction volume alone.

According to Accenture, 45% of consumers expect to delegate at least half of their purchasing decisions to AI agents within the next 18 to 24 months, reshaping how brands compete for customers.

Schneider Electric said AI-ready infrastructure is driving higher requirements for power, cooling and computing capacity, with rack densities expected to reach as much as one megawatt per rack in the coming years.

A Veeam study found that 88% of organizations already use or test AI agents, yet just 7% are fully prepared to govern, monitor and operate these systems securely.

According to Veeam’s 2026 Data Trust and Resilience Report, more than 40% of organizations that experienced a cybersecurity incident reported operational disruptions or financial losses.

Many organizations are deploying AI without changing how teams work, make decisions or collaborate, limiting the technology’s business impact.

Buk said organizations are increasingly using artificial intelligence to optimize recruitment, internal communication and workplace productivity. The company also warned that AI governance and employee participation will become critical challenges as adoption expands across HR operations.

With a practical approach and access to technologies such as OCI and Java, the program is driving the development of digital talent in a region where more than 70% of companies have already adopted AI.

Digital wallets and AI engines are accelerating a shift in access to financial services, forcing banks to redefine their competitive strategy.