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New Math Data GenAI Readiness Assessment and Proof of Concept (POC) - logo

New Math Data GenAI Readiness Assessment and Proof of Concept (POC)

A specially trained AI model could bring tremendous value to your business. New Math Data will help your team assess AI models customized for your business and compliance requirements. This readiness assessment will give you the roadmap and insight you need to build a high-level architecture. Designed for the business stakeholders whose primary role is positioning their organization to keep up with the demands of today’s fast-paced technological advances Embark on your journey towards AI adoption with the guidance of the seasoned experts at New Math Data.
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About

The GenAI assessment is conducted by our team of Data Science Engineers, AWS Certified Solutions Architects, and Business Managers in various stages of the assessment. The goal of the GenAI Assessment is for New Math Data to help set a path forward on how GenAI can help you to attain your business goals.

Assess the organization’s current state, and identify potential opportunities with GenAI tools to yield high-value transformative outcomes.

Examine the implications of Generative AI and the potential effects this technology will have on the organization.

Review existing data sources.

Identify use cases for GenAI

Evaluate current Data Governance environment

Analyze possible challenges along with key risks and limitations

Assess architectural solutions and perform roadmap planning.

Develop high-level architecture and design for GenAI solution.

Identify appropriate AWS services and technologies.

Determine the organization's readiness for change, including stakeholder buy-in, employee training, and potential resistance to adoption.

Deliverables:

Report of findings: Strategic approach to GenAI

Adoption roadmap

Architecture design

Deployment model plan

TCO calculation estimate including AWS consumption

Statement of work for the proof of concept

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