Caylent Catalysts™

Generative AI Strategy

Accelerate your generative AI initiatives with ideation sessions for use case prioritization, foundation model selection, and an assessment of your data landscape and organizational readiness.

What is it?

Realize your AI goals with workshops to identify generative AI opportunities for your business, and strategy sessions to roadmap tactical solutions using cutting edge AWS services.

Generative AI is a rapidly emerging technology trend that's already disrupting well-established businesses. This workshop provides background on the technology landscape, common use cases, their maturity, and takes these building blocks into a strategy session specific to your business opportunities. Once we identify the business strategy, we'll propose a tactical roadmap using AWS services such as Bedrock and SageMaker Jumpstart to realize the vision.

Caylent's data team combines expertise in AI and the emerging generative AI field with extensive experience in the supporting ecosystem for successful data science initiatives: creating machine learning models, operationalizing ML models through MLOps strategy and execution, enterprise data strategy, data governance & security, data engineering, and DataOps.

Key Activities

01 — Enablement

We'll bring your team up to speed on the current AI landscape and supporting AWS services that can accelerate your goals

02 — Ideation

Through a series of strategy sessions, we’ll explore your business cases and prioritize those that deliver value for your organization

03 — Action Plan

Go from great ideas to the tactical and practical next steps needed to implement your vision with an AI action plan

Engagement Details

Key Activities
  • Generative AI overview and adoption trends
  • AWS AI and ML services review
  • Strategy sessions to determine applicable business opportunities and the dependencies needed to apply generative AI effectively
  • Review of current data landscape and capabilities
  • Creation of a readiness assessment, roadmap, and proposal(s) for next steps
  • Generative AI overview presentation and reference material
  • Recommended self-paced resources (labs, training)
  • Generative AI readiness assessment
  • Roadmap recommendations and action plans based on strategy sessions

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