Session
From Complexity to Velocity: Revolutionising MLOps and AIOps Adoption with Backstage powered IDP
In the rapidly evolving landscape of artificial intelligence and machine learning, organisations are increasingly challenged by the complexity of AI/ML infrastructure deployment and management. This presentation unveils a transformative approach that bridges the critical gap between innovative AI technologies and organisational operational capabilities through a cutting-edge Backstage powered Internal Developer Platform.
Benefits:
The Backstage-powered Internal Developer Platform represents a paradigm shift in AI/ML infrastructure adoption, transforming technological complexity into strategic advantage. By democratising access to advanced AI technologies, the platform enables organisations to break down traditional barriers, empowering cross-functional teams to leverage AI capabilities with unprecedented ease. It dramatically reduces time-to-market for AI/ML initiatives, minimises operational overhead, and provides a standardised approach to infrastructure provisioning that supports rapid experimentation and innovation. The solution embeds robust governance mechanisms, ensuring secure and consistent infrastructure deployment while simultaneously enhancing developer productivity through intuitive self-service capabilities.
At its core, the platform bridges the gap between cutting-edge AI technologies and practical implementation, offering a replicable model for AI infrastructure modernisation. It transforms the traditional challenges of MLOps and AIOps into opportunities for organisational growth, allowing technology leaders to create a more agile, accessible, and innovative technological ecosystem. By centralising resource management, implementing sophisticated access controls, and simplifying complex infrastructure provisioning, the platform emerges as a strategic tool that not only accelerates technological adoption but also fosters a culture of continuous innovation and technological exploration.
Ashish Bhatt
Lead DevOps Consultant @Amazon | CKA | Platform Engineering
Bengaluru, India
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top