3354 - 高速大规模人工智能：IBM z17 的新用例.pdf

1、IBM TechXchange 2025 conference#3354 AI at speed and scale:New use cases with IBM z17Elpida TzortzatosIBM Fellow and CTO,AI on IBM Z and LinuxONEKhadija SouissiPrincipal Solution Architect,Distinguished Technical SpecialistAI on IBM Z&LinuxONE1IBM Z TechXchange Table of ContentsPredictive&multiple m

2、odel AI use casesAI capabilities on IBM z17DemoGenerative AI use casesNext steps317232731IBM Z TechXchange 20102030405AI capabilities on IBM z17Predictive&multiple model AI use casesDemoGenerative AI use casesNext stepsIBM Z TechXchange Mission critical business transactions run on IBM Z70%of the wo

3、rlds transactions run on the mainframe.1Co-locate data and transactions with AI 84%of IT Executives say incorporating AI into mainframe transactions is important.2Drive innovation without compromising security and resiliency79%of IT executives agree that mainframes are essential,enabling AI-driven i

4、nnovation and value creation.3AI on IBM Z:real time insights with superior performance and optimal latency for faster decision making IBM Z TechXchange 4 Security Resiliency Scalability Performance AvailabilityAI ZAI LandscapeIBM Z TechXchange 5Predictive AI and Generative AI models are helping defi

5、ne and shape the modern enterprise.Mission critical and transactional use cases require machine learning,deep learning and gen AI capabilities,sometimes working together in a multiple model AI architecture to achieve better,improved business outcomes.Algorithm tradingDynamicpricingDemandforecastingC

6、ostoptimizationSummarization tasksCode GenerationDesign tasksClient facing chatbotsAnti-moneylaunderingFrauddetectionPredictive AIGenerative AI&Agentic AIMultiple Model AI ArchitectureML and DL ModelsLarge Language Models(LLMs)Fueling innovation and growth with AIAutomating and transformingfor effic