Track 4: Applications & Use Cases
Ultimately, the value to organizations will be delivered through use cases. IDC defines a use case as a business-funded initiative enabled by technology that delivers a measurable outcome. There are three broad types of GenAI use cases that need to be assessed:
- Generic productivity. These are basic use cases such as summarizing a report, generating a job description, or code generation.
- Business function. These specific use cases will tend to integrate a model (or multiple models) with enterprise data for a specific function (e.g., marketing, sales, service, procurement etc.).
- Industry-specific. These advanced use cases will generally require more custom work (and in most cases require building your own GenAI model) to address industry-specific processes or activities.
This track will explore all the of these use cases, as well as the various applications underpinning them.
Key Themes:
- AI-Enhanced Tech Operations: Explore how AI transforms tech operations with predictive analytics, automation, and proactive problem-solving, ensuring optimal system performance and minimal downtime.
- AI-Driven User Support: Dive into the world of AI-powered user support, including chatbots, virtual assistants, and intelligent self-service portals that enhance user experiences and resolve issues faster.
- AI in Cloud Computing: Discover how AI optimizes cloud services, from resource allocation and cost management to security and compliance, in multi-cloud and hybrid environments.
- Intelligent Data Management: Explore AI's role in data management, including data classification, migration, and governance, to ensure data-driven insights and compliance.
- AI in DevOps and Continuous Integration: Learn how AI streamlines the DevOps pipeline, facilitating faster development, automated testing, and seamless deployment in agile environments.
- Enhanced Cybersecurity with AI: Dive into AI-powered cybersecurity solutions, from advanced threat detection and incident response to predictive threat modeling and anomaly detection.
- AI-Infused Tech Service Management: Examine AI's impact on tech service management, including ticket resolution, change management, and ITIL practices, for improved service delivery.
- AI-Enabled Technology Strategy: Explore how AI informs tech strategy, from resource allocation and capacity planning to aligning technology initiatives with business objectives.
Who Should Attend:
- Tech professionals and administrators
- CIOs, CTOs, and technology executives
- DevOps practitioners
- Data scientists and analysts
- Cybersecurity experts
- Service management professionals
- Cloud architects and engineers
- Anyone passionate about the fusion of AI and IT
Join us in the Applications & Use Cases track to navigate the dynamic intersection of AI and Technology, where automation, efficiency, and innovation merge. Together, we'll unlock the potential of AI to reshape technology landscapes and drive businesses forward in the digital age.