
Preparing for SaaStock: Our AI and SaaS Sessions
Our sessions to cut through the AI hype and learn what actually works in SaaS and AI today [2026 Guide]
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Our sessions to cut through the AI hype and learn what actually works in SaaS and AI today [2026 Guide]

AI readiness assessment for SaaS. Softlandia's blueprint for auditing your stack, identifying risks, accelerating AI.

Metaflow on Azure: reduce infrastructure friction for data science teams. Guide to cloud-native data science workflows.

Metaflow production guide: reproducible, collaborative, cloud-ready data science workflows. Real engineering examples.

Metaflow and Dask tutorial for scaling data science workflows from local to cloud on Azure. Guide for ML engineers.

Argo and Metaflow on Azure: schedule and automate data science pipelines at scale. Guide for data engineering teams.

Which Python data streaming framework wins? Compare Spark, Flink, and Bytewax for stateful real-time workloads.

Build NLP services using embeddings, vector search, and LLM integration. Covers LangChain, LlamaIndex, and Qdrant.

Applied AI engineer: the emerging role bridging AI research and production. Skills critical for foundation-model apps.

Train small specialized language models using MEGABYTE and TinyStories. Lessons on capability with limited compute.

How SaaS companies turn AI complexity into advantage with applied AI expertise. What separates successful AI teams.

LLMs struggle with tabular data like CRM, SQL, or Excel. See how agentic workflows tackle this challenge effectively.
