首席信息官实现强大人工智能成果的三种方法

Gartner Research Pacing Yourself inthe AI Races: 2024IT Symposium/XpoKeynote Insights Mary Mesaglio, Hung LeHong 21 October 2024 Pacing Yourself in the AI Races: 2024 ITSymposium/Xpo Keynote Insights 21 October 2024 - ID G00822215 - 27 min read By Analyst(s): Mary Mesaglio, Hung LeHong Initiatives:CIO Innovation Leadership As a CIO, you are in a race to deliver AI outcomes safely and atscale. This recap of the 2024 IT Symposium/Xpo Keynote helpsyou set the right pace for your AI race, so you can achieve thedesired business, technology and behavioral outcomes for yourorganization. Overview Key Findings With AI and data coming from everywhere, CIOs must deliver safe AI outcomes.Depending on your organization’s ambitions, you will move at either an AI-steady or AI-accelerated pace to deliver: Business outcomes.CIOs want to use AI to improve employee productivity,streamline business processes and deliver game-changing improvements to theirbusiness models — all at an acceptable cost.■Technology outcomes.CIOs want to protect their organization’s data and govern AIoutputs while still providing enough flexibility to capitalize on new opportunities.■Behavioral outcomes.As AI changes their employees’ tasks, roles and lives, CIOswant to use AI in a way that encourages positive behaviors and intentionallymanage its impact on employees.■ Recommendations Deliver business outcomes by finding your deep productivity zone, where employeeswill get the biggest productivity benefit from using generative AI (GenAI). Moreadvanced enterprises should seek benefits well beyond productivity, such as revenuegeneration.■ Prepare for volatility in AI costs by understanding your AI bill. More advancedenterprises should create proofs of concept that test how costs will scale andperform real-time AI cost monitoring.■ Achieve technology outcomes with an AI technology framework that harnesses dataand AI coming from everywhere, and that incorporates trust, risk and securitymanagement (TRiSM) practices. More advanced enterprises should use TRiSMtechnologies to mechanize AI policies.■ Manage behavioral outcomes by clearly defining who owns which outcomes, and byco-creating new roles with your employees. More advanced enterprises should addhuman behavior experts to their teams, especially when experimenting with agenticAI.■ Strategic Planning Assumption By 2026, more than 80% of independent software vendors will have embedded generativeAI capabilities in their enterprise applications, up from less than 5% in 2024. Introduction Two AI races have begun. In one race, tech vendors are relentlessly innovating and flooding the market with highlyhyped AI-embedded technologies. A new GenAI frontier model is released every 2.5 dayson average.1 As a CIO, you’re not in that tech vendor race. You don’t have to adopt all the latest AI to getahead. But you are in the second race: a race to deliver AI outcomes safely and at scale. The stakes of your AI outcomes race are high, because CEOs believe the AI hype isjustified. In the Mid-2024 Update Gartner CEO and Senior Business Executive Survey, 74%of CEOs said AI is the technology that will most impact their industry. This is a significantleap from 59% in early 2024, and 21% in 2023.2 And CEOs are largely relying on their CIOs to deliver AI outcomes. In the 2024 Gartner AISurvey, 57% of CIOs said that they are tasked with leading the AI strategy in theirorganization.3 But CIOs are realizing that delivering AI outcomes is tough. In the 2024 Gartner AI Survey,47% of CIOs said that AI has not met their ROI expectations.3The highly toutedproductivity and business benefits of using AI don’t always materialize, and AI can createserious risks, unpredictable costs and negative behaviors that harm your organization. GenAI is teetering on the edge of the Peak of Inflated Expectations in Gartner’s HypeCycles, and it will soon slide into the Trough of Disillusionment (seeHype Cycle forEmerging Technologies, 2024). As a CIO, you experience the nonstop hype from AI vendors and the sobering reality ofhow tough it is to deliver AI outcomes. It can feel like you’re at the peak and in the troughat the same time! Whether you have explicit ownership of AI or not, you are in a race to deliver three types ofoutcomes (use the links below to navigate to each section): ■Business outcomes■Technology outcomes■Behavioral outcomes Fortunately, you get to set the pace in this race. In this research, we will focus on the twopaces that CIOs can take: AI-steady pace.If you have modest AI ambitions and your industry is not yet beingdisrupted by AI, you will go at a more measured pace. This pace is suitable for risk-averse organizations, such as those in the public sector or in highly regulatedindustries; as well as small and midsize organizations with limited resources tospend on AI.■ AI-accelerated pace.If you have bigger AI ambitions or your industry is beingreinvented by AI, you will go at a faster pace. Large