以数据为中心的人工智能方法的四个关键支柱

2025 PlanningGuide forAnalytics andArtificialIntelligenceGartner Research Sumit Agarwal, Joe Antelmi, Georgia O’Callaghan,Christopher Long, Wilco van Ginkel, Zain Khan,Maryam Hassanlou, Cuneyd Kaya 2025 Planning Guide for Analytics and ArtificialIntelligence 14 October 2024 - ID G00815703 - 42 min readBy Analyst(s): Sumit Agarwal, Joe Antelmi, Georgia O'Callaghan, Christopher Long, Wilcovan Ginkel, Zain Khan, Maryam Hassanlou, Cuneyd Kaya Initiatives:Analytics and Artificial Intelligence for Technical Professionals; EvolveTechnology and Process Capabilities to Support D&A In 2025, organizations will be tasked with deliveringtransformational analytics and AI services that are safe, agile andscalable. To do so, data and analytics technical professionalsshould mature AI and analytics foundations, emphasize value andreliability, and foster trust and transparency. Overview Key Findings Generative AI (GenAI) remains at the peak of Gartner’s 2024 Hype Cycle for AI.Distinct ecosystems and use cases are emerging all the time, so organizations haveplenty of options to utilize large language models (LLMs), tools and applications.But GenAI solutions’ current lack of consistency and reliability has createdimplementation challenges.■ Distributed teams engaging in ungoverned solution development have led to achaotic mix of analytics and AI use-case implementations. This is creatinggovernance, traceability, reproducibility and consistency challenges with metrics,features, datasets and models.■ Although self-service analytics programs and AI model development processes arematuring, enterprises still face several obstacles. These include a lack of data and AIliteracy, challenges in scaling technology and processes, and the persistent need forgovernance, privacy and trust.■ The urgency among organizations to leverage data for a competitive edge and betterdecision making, combined with rapidly changing technology and productcapabilities, is exposing gaps in skills, adoption and understanding of risks.■ Gartner, Inc. | G00815703 Recommendations Data and analytics (D&A) technical professionals working to deliver analytics and AIinitiatives should: Sustain early GenAI initiatives by building foundational capabilities with an agile,extensible and flexible architecture, including unified monitoring and guardrailsframeworks. Adopt a “crawl-walk-run” approach as part of a robust roadmap fortransitioning early learnings into a scalable architecture.■ Enhance the developer experience by tailoring augmented analytics and AI platformoptions to different user personas. At the same time, improve solution maturity byfocusing on value, reliability and resilience.■ Empower users across the organization by democratizing the development ofanalytics dashboards, metrics and AI models. Implement data and AI literacyprograms, supported by change management, to drive increased adoption ofanalytical insights and AI-based predictions.■ Strengthen AI governance and upskilling initiatives by incorporating trust andtransparency. Ensure these practices enhance inclusion, accountability, processintegration, fairness and risk management across the organization’s analytics and AIdevelopment efforts.■ Analytics and Artificial Intelligence Trends ChatGPT has completely transformed the way AI is perceived, understood and developed,all in a very short period. This transformation elevated GenAI to the peak of Gartner’sHype Cycle for Artificial Intelligence, 2024. While the hype can lead to unrealisticexpectations, the tangible benefits are undeniable. According to the Gartner Generative AI2024 Planning Survey, business executives anticipate, on average, a 22.6% increase inproductivity, a 15.8% boost in revenue, and a 15.2% reduction in costs over the next 12to18 months.1These projections underscore the significant impact GenAI can have onbusiness performance, driving innovation and efficiency across various sectors. While the enterprise spotlight is on implementing GenAI use cases, data-driven decisionscontinue to be a key priority. The 2025 CIO and Technology Executive Survey hashighlighted significant increases in technology funding for business intelligence (BI),analytics and AI.2When asked which technology areas would receive increased fundingin 2025: 82% selected BI and data analytics, as compared with 78% in the previous year■84% selected AI, as compared with 73% in the previous year■87% selected GenAI■ That said, the 76% of CIOs and technology leaders who participated in the Gartner GenAIsurvey indicated that they are struggling to balance the speed of innovation with the needto scale.1While this presents a challenge for organizations, it also offers an opportunityfor technology teams to upskill, establish foundational practices and plan for scalablesolutions. Tech teams need to partner with business teams to identify opportunities forimproved efficiency within their operations and launch differentiated products to increaserevenue, d