Artificial Intelligence

How Some Enterprises Give Themselves an AI Advantage

There's more to artificial intelligence than writing prompts. Organizations that built secure foundations for data and insights now lead the AI charge.

Bob Keaveney

Bob is the managing editor of BizTech magazine.

As the fervor to adopt artificial intelligence–backed solutions comes to a head, organizations that already invested wisely in data-focused infrastructure and security are at the forefront of delivering on AI's promise.

That doesn't mean that those organizations still working through governance initiatives or building out data pipelines will be left behind. The importance of understanding how any new AI initiative aligns to a business's strategic mission — and tracking meaningful metrics that ultimately prove its success — cannot be overstated. Building AI solutions as part of a game of catch-up, with little reason behind the "why" other than "everyone else is doing it," simply won't fly. Nor will it provide a reasonable return on investment.

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What Enterprises' Game-Changing AI Initiatives Get Right

For the AI-native travel technology company Sabre, maintaining an always-on operation is essential for its 400,000-plus airline travel agent customers and partners. Sabre's comprehensive security solution ensures its global distribution and client-facing systems operate reliably, safe from attacks, thanks to AI-enhanced SecOps.

The Texas-based company automated 75% of the monthly security events it logged so far this year, helping SecOps teams respond at nearly the speed of an attack — timing that wasn't possible until the company embraced AI, CISO Scott Moser says (see "One for All" on Page 18).

DISCOVER: Learn how to optimize your organization’s infrastructure for artificial intelligence.

At the global recruiting and placement firm ManpowerGroup, AI experimentation offers a low-risk way to improve workflows and introduce efficiencies that help job candidates as much as the companies looking to hire them (see “Plays Well With Others” on Page 26).

The company relies on multiple tools to unify its massive, widespread stores of labor market data, from its own systems as well as from several thousand external sources. AI-enhanced tasks such as talent matching, candidate engagement and screening now save recruiters more than an hour each day and have reduced time to hire by 50%.

The lesson? Move quickly on AI pilots, while ensuring the technology remains rooted in real workflows that improve business outcomes.

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