How CIOs Can Cut Through the Gen AI Noise: Gartner
Two Types of AI
Everyday AI:
- Focused on productivity
- “Everyone will have access to the same tools, and it will not provide a “sustainable competitive advantage,” said Mesaglio
Game-Changing AI:
- Focused on creativity
- “Either it creates new results, via AI-enabled products and services; or it creates new ways to create new results, such as with AI-enabled new core capabilities,” said Mesaglio
How CIOs Are Getting Teams AI-Ready
Gen AI’s myriad applications and varying levels of complexity contribute to the deafening waves of noise crashing against the consumer goods industry. CIOs can help cut through that complexity and identify opportunities within their organizations, said Gartner.
To begin, they must establish artificial intelligence principles that align with the company’s value, setting standards for how machines and humans will interact. Additionally, the data infrastructure must be secure, enriched, fair, and accurate. Lastly, CIOs need to protect against the “dark side” of AI — for every opportunity, there’s a nefarious use case or a vulnerability — and that means bolstering cyber security.
“The era of AI-powered business will lead to unintended consequences without advance planning. CIOs need a way to light the way forward, even when everything seems new or murky,” said Mesaglio. “To safely harness this disruption, CIOs must work with executive leaders to define their ambitions for using everyday AI and game-changing AI, and to establish AI-ready principles, data and security.”
[Also read: HanesBrands Leveraging Gen AI in Supply Chain Optimization Efforts]
There’s still much work to be done. Gartner found that just 9% of organizations have an AI vision statement in place, with one-third of 606 CIO respondents saying they didn’t currently have a plan to create one.
“A technology decision is not just a technology decision anymore. It is a technology, economic, social, and ethical decision all at once,” said Mesaglio. “To navigate decisions about AI in their organization, CIOs and IT leaders need lighthouse principles — a vision for AI that lights the way and says what kind of human-machine relationships they will and will not accept.”