IBM presents: What's next in AI?
AI 2.0 and making REAL impact today
Enterprise use of AI has been undergoing rapid evolution. Harnessing the power of prediction and optimization, industry leaders are demonstrating superior results in customer experience, product development and operational agility. At the same time, the speed of AI innovation is accelerating, from AI engineering to neurosymbolic AI to explainable AI, to name a few. With AI becoming more fluid and adaptable for enterprise use, AI systems can provide different forms of knowledge, unpack causal relationships, and learn new things on its own. To help you stay current with what’s next in AI and how to take advantage of the latest innovations, IBM is excited to present our 5-part data and AI series. We will cover:
Part 4: Modernize your predictive and prescriptive analytics
Blended together, predictive and prescriptive analytics can identify the best course of action, simplifying the process of business planning, scheduling and workflow management. With a modern architecture, you can push a decision engine to a cloud-native application and guide front-line workers to optimize their actions. Part 4 will cover:
- Modern vs. traditional predictive and prescriptive analytics
- Patterns for migrating, consolidating and modernizing environments
- Best practices for aggregating open source, third-party and IBM tooling
- Client success stories - customer experience, inventory management, routing, etc.
To be announced