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Move to AI

An AWS Modernization Pathway with TD SYNNEX

The "Move to AI" pathway is about leveraging data to build intelligent applications that can make predictions, understand content, and automate decisions. It's a journey from raw data to actionable insights, using a broad suite of AWS AI/ML services to solve complex business problems and create new opportunities.

Triggers & Compelling Events

Untapped Data Assets

Large volumes of data exist but provide little business value.

Desire for Predictive Insights

Need to move from reactive reporting to proactive forecasting.

Personalize Customer Experience

Struggling to deliver tailored recommendations and interactions.

Need for Intelligent Automation

Manual, repetitive tasks are consuming valuable employee time.

Complex Data Analysis

Inability to extract insights from unstructured data like text or images.

Generative AI Mandate

Pressure to innovate and improve productivity with GenAI.

1

Awareness & Discovery

Customer realizes their data is an untapped asset and begins exploring how AI can create business value.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX BDM / AWS PDM
  • Action: Register Deal in AWS Partner Central (ACE)
  • Funding: None at this stage.
  • Services: None at this stage.
2

Opportunity & Qualification

A concrete AI use case is identified. Partner qualifies the opportunity and builds the initial business case.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX SA / AWS SA
  • Action: Qualification call with CoE or local technical pre-sales/SA
  • Action: Engage TD SYNNEX Destination AI program
  • Funding: OLA funding for applicable opportunities; Windows Server, SQL & Oracle DB
  • Services: None at this stage.
3

Solution Development

The technical solution is designed and validated through workshops and a Proof of Concept (PoC).

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX CoE / AWS Specialist SA
  • Action: Engage TD SYNNEX CoE for PoC build & validation.
  • Funding: MAP Assess for TCO analysis and exploratory work, PoC funding for proof of concept building.
  • AWS Tools: Amazon SageMaker Data Wrangler
4

Customer Proposal

A formal proposal with the target architecture, a phased migration plan, and a clear ROI is presented to the customer.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX BDM / AWS MAP aligned account manager
  • Action: Submit Proposal & SOW through TD SYNNEX.
  • Funding: Sandbox Innovation credits.
  • Services: TD SYNNEX SOW & Proposal Support via Services team.
5

Delivery

The partner executes the project, building the data pipeline, training the model, and deploying the AI application.

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX Professional Services / AWS ProServe
  • Action: Execute project with TD SYNNEX Professional Services OR the partner does this themselves.
  • Funding: MAP Mobilize funding to allow cost effective pilot migration
  • Services: TD SYNNEX Professional Services for Migration, TD SYNNEX Migration Success Packages OR the partner completes this themselves.
  • AWS Tools: Amazon SageMaker Pipelines
6

Support & Optimize

Ongoing management, monitoring model performance, and retraining to ensure the AI solution continues to deliver value.

Partner Actions & Offerings

Core AWS Services & Training

Key AWS Products

Amazon SageMaker, Amazon Bedrock, Amazon Q, Amazon Rekognition, Amazon Comprehend, Amazon Transcribe, Amazon Forecast, Amazon Personalize, Amazon Kendra

The Modernization Journey: From Pain to Platform

Click the below triggers to see how AWS services solve the customers problem.

Untapped Data Assets

Desire for Predictive Insights

Personalize Customer Experience

Need for Intelligent Automation

Complex Data Analysis

Generative AI Mandate

Supporting Documentation