Technology Stack
A pragmatic, two-horizon journey that sequences digitization before AI scale-up.
Cloud & Data: AWS, Azure, GCP; Databricks, Snowflake, BigQuery, Synapse/Fabric
AI/ML: OpenAI, Anthropic, Azure AI, Vertex AI; Hugging Face; LangChain/LlamaIndex
Integration & Workflow: APIs, Kafka/eventing; UiPath/Power Automate; Zapier/Make
Storage & Search: PostgreSQL, Elasticsearch; vector DBs (Pinecone, Weaviate, FAISS, Qdrant)
Observability & Governance: Model evaluation, audit logging, cost controls, PII filtering
Reference stack presets:
Budget-first SaaS: HubSpot/Zoho, Freshdesk/Zoho Desk, Airtable/SmartSuite, Notion/Confluence; Supabase/BigQuery; dbt; Metabase/Looker Studio
Microsoft-forward: Dynamics 365, SharePoint/Teams, Power Platform; Azure OpenAI, Azure AI Search; Fabric/Synapse; Power BI
Google-forward: Workspace + AppSheet; Vertex AI; Cloud Run; BigQuery/AlloyDB; Looker; Pub/Sub + Cloud Functions
Constrained/Low-Connectivity: Local-first capture + scheduled sync; Qdrant/SQLite; batch pipelines