A naukri.com initiative
Siliconangle
4d
350
Image Credit: Siliconangle
The yellow brick road to agentic AI
- Agentic AI requires a strong data foundation built upon cloud-like scalability, a unified metadata model, and harmonized data and business process logic.
- Agentic automation is expected to become a reality within the next decade and will require a reinvention of the software stack.
- The enterprise software stack is changing, and there is a shift from control at the database layer toward the governance catalog using operational metadata.
- To achieve true automation in agentic AI, it's crucial to have harmonized process logic that enables agents to communicate across the entire customer journey.
- The future of agentic AI will involve harmonizing end-to-end business processes to ensure that agents and humans collaborate effectively and share a common understanding.
- Data platforms such as Snowflake and Databricks, organizations such as Palantir and Salesforce, and vendors like Google, Microsoft, and UiPath Inc. are leading the way to agentic automation.
- The process of achieving agentic automation involves creating new infrastructure layers, incorporating genuine harmonization, and avoiding the trap of superficial bolt-ons.
- Achieving the vision of agentic automation will take time, persistence, and focusing on the pieces that do not yet exist in the enterprise software stack.
- The opportunity is to reinvent the application stack and not perpetuate the status quo by bolting agents onto existing legacy architectures.
- The agentic future that delivers a 10x productivity gain hinges on harmonizing end-to-end business processes and ensuring that agents and humans collaborate effectively and share a common understanding.
Read Full Article
21 Likes
For uninterrupted reading, download the app