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Build sturdier bots in IBM RPA Studio by driving web pages, Windows applications and email handling from a single automation.
Trace how IBM QRadar SIEM ingests and processes log events and flow data, covering deployment models, component architecture, and the path of a single event.
Learn how organizations define net-zero and other ESG commitments, manage Scope 1–3 emissions, and set and report credible Scope 3 targets.
Build automations in IBM watsonx Orchestrate: create decisions and workflows for an HR salary-approval process, then version, deploy, and publish them.
Introduces IBM Power10 processor technology, related products, and the hardware architectures of Power S1014, S1022, S1024, E1050, and E1080 servers.
Introduces IBM Robotic Process Automation components and how they form an environment for automating company processes.
Introduces IBM Turbonomic’s application resource management approach for cloud and virtual environments, including market-based analytics, automation principles, and its user interface.
Customize language models with your own expertise: use InstructLab's LAB methodology to build taxonomies, generate synthetic data, and fine-tune and align LLMs and SLMs.
Get oriented in the Scaled Agile Framework: understand SAFe 4.0, the case for SAFe, the SAFe Big Picture, and the SAFe glossary.
Use Maximo Application Suite’s Asset Investment Optimizer to create, compare, and select asset investment strategies using health, cost, and predictive data.
Build an integration and an API in IBM App Connect Enterprise as a Service on AWS, and map integration use cases to your own business scenarios.
A concise introduction to Envizi system administration, covering navigation, configuration management through summary and grid views, and common administrative menu options.
Distinguish chatbots, ChatGPT, and intelligent virtual agents, explore watsonx Assistant capabilities, and plan and build an assistant using actions made of steps.
Learn how IBM Turbonomic uses multi-cloud workload analysis and automated actions to reduce cloud waste while maintaining application performance.
Compare QRadar appliance models and deployment architectures, covering remote locations, high availability, disaster recovery, virtual environments, and cloud options including VMware versus QRadar on Cloud.
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