TalksAWS re:Invent 2025 - The Zero Migration Path from Data to Enterprise Agentic AI (AIM123)
AWS re:Invent 2025 - The Zero Migration Path from Data to Enterprise Agentic AI (AIM123)
Summary of AWS re:Invent 2025 - The Zero Migration Path from Data to Enterprise Agentic AI (AIM123)
Overview of Tri and Concerto Platform
Tri is an AWS ISV partner that offers a unique "services as software" approach to help customers transform their infrastructure, data, and applications.
The core of their offering is the Concerto platform, which has five key transformative solutions:
Modernization: Modernizes infrastructure, data, and applications simultaneously.
Migration: Assesses, maps dependencies, and migrates all three layers to any cloud.
Management: Provides a single pane of glass to manage multi-cloud environments.
Optimization: Uses AI/ML to optimize cloud resource consumption and performance.
Insights and Agentic AI: The focus of this presentation.
The Urgency of Adopting Agentic AI
Businesses are facing two critical questions:
How much time do we have to get ahead of the competition with AI?
How much time do we have before our data platforms become obsolete?
Traditional data platform modernization takes 18-24 months, but industry transformation cycles are now less than 11 months.
Businesses can no longer afford expensive, time-consuming, and potentially obsolete data platform projects.
Data is often spread across on-premises, SaaS, and cloud environments, making it difficult to migrate.
Tri's Approach: Zero Migration Path to Agentic AI
Tri took a "clean sheet" approach to enable AI on existing data assets without migration.
Key principles:
Enable AI on existing data without moving it.
Productize data for fast, intuitive consumption.
Achieve governance and data readiness for AI at scale.
Bring together business and IT teams on a unified platform.
Deliver the solution in 90 days or less.
Concerto's Key Capabilities
Federated Data Connectivity: Connect to data sources (on-premises, cloud, SaaS) in real-time without migration.
Data Productization: Use AI to rapidly catalog and organize data for intuitive business consumption.
Enterprise Data Marketplace: Expose data as easily browsable "data products" with metadata, lineage, quality, and AI readiness indicators.
Native BI and Conversational AI: Provide built-in BI and natural language querying capabilities to democratize data access.
Agentic AI Marketplace: Enable the creation and deployment of AI-powered agents to automate decision-making and execution.
The 90-Day Deployment Approach
Dalai Assessment: Tri and the customer collaborate to assess the current data landscape, identify gaps, and create a readiness scorecard for agentic AI.
Concurrent Configuration: While the assessment is underway, the Concerto platform is configured and teams are trained for self-service use.
Rapid Deployment: In 90 days, the customer can turn on the Concerto platform and make it available to business users.
Business Impact and Examples
The Concerto platform is hosted on AWS and leverages services like Amazon Athena, Amazon SageMaker, and AWS Glue.
Tri has already onboarded over 60-70 customers in the last 5 months, in addition to numerous global customers through Concerto partners.
The platform enables businesses to get ahead of the competition by rapidly deploying agentic AI capabilities without the need for expensive and time-consuming data platform migrations.
Specific examples of use cases and results were not provided in the transcript, but the platform promises to help organizations across various industries transform their data and AI capabilities in a matter of months.
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