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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
  • Action: Engage TD SYNNEX Destination AI framework
  • Services: None at this stage
3

Solution Development

The AI/ML model is designed and validated through data exploration, 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 OR the partner completes this themselves
  • Funding: MAP Assess for TCO analysis and exploratory work, AWS POC funding
  • AWS Services: AWS Glue, Amazon SageMaker Data Wrangler
4

Customer Proposal

A formal proposal, Statement of Work (SOW), and implementation plan for the AI solution are presented.

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 Pro Services / AWS ProServe
  • Action: Execute project with TD SYNNEX Professional Services
  • 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 Services: Amazon SageMaker Pipelines, AWS Step Functions
6

Support & Optimize

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

Partner Actions & Offerings

  • Owner: Partner / TD SYNNEX Managed Services
  • Action: Onboard to TD SYNNEX Managed Services
  • Funding: Well-Architected Review funding and MAP Migrate & Modernize credits post-migration (up to 50% depending on workloads)
  • Services: Cloud Express (24x7 managed service), TechCARE (24/7 break fix) and Dashboards as a Service (FinOps)
  • AWS Services: Amazon SageMaker Model Monitor, Amazon CloudWatch, AWS Cost Explorer

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

Enablement & Training

Certifications: AWS Certified AI Practitioner, AWS Certified Machine Learning - Specialty, AWS Certified Data Analytics - Specialty.
AWS Skill Builder: Machine Learning Learning Plan, Generative AI Learning Plan.
Partner Events: TD SYNNEX Technical Round Table, Immersion Days, TD SYNNEX Cloud Kick Start, Destination AI events.

The Modernization Journey: From Pain to Platform

Solving Untapped Data Assets & Complex Analysis

Use Amazon SageMaker Studio to prepare and build models. For unstructured data, leverage Amazon Comprehend for text, Amazon Transcribe for audio, and Amazon Rekognition for images to turn raw data into valuable business intelligence.

Solving for Predictive Insights

Amazon Forecast uses ML for highly accurate time-series forecasts. For custom predictions (e.g., fraud, churn), Amazon SageMaker provides all the tools needed to build, train, and deploy high-performance models.

Solving for Personalized Customer Experiences

Amazon Personalize makes it easy to build applications with the same ML technology used by Amazon.com for real-time personalized recommendations, enhancing customer engagement.

Solving for Intelligent Automation

Automate complex processes by integrating AI. Use Amazon Kendra for intelligent search across internal documents, or connect business data sources to Amazon Q to get expert answers to natural language questions.

Solving for a Generative AI Mandate

Amazon Bedrock provides a choice of high-performing foundation models, including the Amazon Nova family, via a single API. For a complete business assistant, Amazon Q can generate content, summarize documents, and assist with software development, boosting productivity while ensuring data privacy.