Data & AI Platforms
Stand up the data foundation that AI workloads and assistants depend on.
Data & AI Platforms covers Data warehouse, lakehouse, vector search, model access, MLOps, data governance, analytics.
Common use cases
Assess
Understand your environment, goals, and constraints.
Design
Architect the right approach for your requirements and budget.
Source
Procure the right platforms at the right price and availability.
Implement / migrate
Deploy and migrate with engineers, validated and integrated.
Optimize
Tune for performance, cost, and security over time.
Renew / support
Operate, support, and manage renewals as one accountable partner.
Related business challenges
We recommend the right fit for your environment, not a single vendor.
What's included in Data & AI Platforms?
Data & AI Platforms covers Data warehouse, lakehouse, vector search, model access, MLOps, data governance, analytics. We define the capability, explain where it fits, and clarify the decisions you need to make.
When should we use it?
Stand up the data foundation that AI workloads and assistants depend on. Typical triggers include refreshes, migrations, consolidation, new projects, security or compliance needs, and renewals.
How does it integrate with our current tools?
We design around your existing environment and vendors - integrating with what you keep and replacing only what no longer fits.
What should we prepare before a meeting?
A short picture of your current environment, goals, timeline, known vendors, and any constraints - we'll guide the rest.
What vendors does TechPower support?
Databricks, Snowflake, NVIDIA, Hugging Face, Cohere, Weaviate, AWS, Azure, Google Cloud, and more - see Partners. We recommend the right fit for your environment, not a single vendor.
Map your data and AI platform path
Talk to an engineer about data & ai platforms, we'll scope the right approach for your environment and timeline.
Map your data and AI platform path