Fireside Chat, Conference Presentation, Interview
Your AI Advantage: Turning Intelligence Into Results | Mark Hura, Oracle | RAISE Summit 2026
- Enterprises are transitioning from experimental AI phases to deployed applications focused on specific business outcomes rather than acquiring generic AI stacks.
- Key sector applications include improving hospitality guest experiences and employee productivity, detecting fraud and money laundering in financial services, and reducing billing errors by over 72% while cutting 130,000 annual calls in construction.
- Healthcare implementations aim to reduce administrative burdens via voice-to-text note conversion, medication deployment, and patient history summarization to allow clinicians to see more patients.
- Energy and utilities sectors plan to utilize AI for predicting outages and optimizing workforce allocation.
- Data value is derived from infusing proprietary organizational data into models without the need to replicate, transmit, or move data to new environments.
- A simple architecture is designed to integrate disparate data sources, enabling the application of model choices to deliver specific required outcomes with shorter delivery times.
- Deployment strategies will offer sovereign data options including EU data centers and flexible regions such as Japan, the Middle East, Latin America, and the UK, ranging from large public data centers to on-premise racks.
- Organizations are advised to adopt top-down C-suite strategies prioritizing the biggest business challenges to realize maximum value, avoiding organic growth plans that may misalign with business strategy.
- Oracle positions itself as a provider of inference and training capabilities rather than a frontier model manufacturer.
- The current technology cycle is identified as a "sweet spot" for enhancing productivity and higher-value work without immediate displacement.
- Responsible AI usage is planned for all employees, with deployment models selected based on desired outcomes and overall business risks.