1、2025 Planning Guide for Analytics and ArtificialIntelligenceSumit Agarwal,Joe Antelmi,Georgia OCallaghan,Christopher Long,Wilco van Ginkel,Zain Khan,MaryamHassanlou,Cuneyd KayaGartner ResearchGartner,Inc.|G00815703Page 1 of 422025 Planning Guide for Analytics and ArtificialIntelligence14 October 202

2、4-ID G00815703-42 min readBy Analyst(s):Sumit Agarwal,Joe Antelmi,Georgia OCallaghan,Christopher Long,Wilco van Ginkel,Zain Khan,Maryam Hassanlou,Cuneyd KayaInitiatives:Analytics and Artificial Intelligence for Technical Professionals;Evolve Technology and Process Capabilities to Support D&AIn 2025,

3、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.OverviewKey FindingsGe

4、nerative AI(GenAI)remains at the peak of Gartners 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 ha

5、s 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

6、 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