Post by IntelligenceBank

With AI firmly a priority at the executive level, the challenge now is scaling it across the business, especially for functions like Marketing, where speed, volume and risk intersect. Yet as PwC put it in their recent piece about enterprise wide implementation, “AI is a boardroom priority, but scaling AI enterprise-wide remains a work in progress.” This is where IT plays a critical role in thinking through how this works in practice. Across Marketing, AI is somewhat integrated within tech stacks. Capabilities like summarizing briefs, generating content, campaign optimization and supporting campaign distribution are not new;  but the speed of output and resulting inventory is. More images, videos, ads, PDFs and web content are being produced than ever before. More versions are being shared across teams, partners and channels. More pressure is being placed on Marketing Compliance teams to review and approve it all. And that’s where things start to break down. While this is a marketing challenge, it’s also an operational one. One where IT can have a big impact by enabling the structure, visibility and control needed to operationalize AI across Marketing. Broadly, this means helping Marketers: • Centralize control over all marketing content lifecycle • Structure marketing workflows that can handle increased volume and pace • Built-in safeguards to reduce brand risk and improve marketing compliance accuracy If you’re looking at how to do that in practice, this resource breaks down how IT teams are supporting Marketing, Compliance and the broader business. Link in the comments. #AIinMarketing #EnterpriseAI #MarketingOperations #ContentOperations