Howso Featured in Gartner’s “Generative AI Engineering” Quadrant
Josh Cadorette

In addition to Howso, companies such as Google, Microsoft, and Databricks were featured.
We are thrilled to announce that Howso has been recognized in Gartner’s “Innovation Guide for Generative AI Technologies” report, earning a spot in the “Generative AI Engineering” Emerging Market Quadrant. This recognition underscores Howso’s leadership and innovation in the rapidly growing field of Generative AI Engineering.

A New Era of Generative AI Engineering
Generative AI engineering is transforming how organizations develop, refine, and deploy AI models. According to Gartner, this emerging market focuses on full-model lifecycle management, encompassing technologies that:
• Orchestrate AI Pipelines: Streamline model chaining, agent development, and retrieval-augmented generation (RAG) architectures.
• Enhance Development: Provide advanced workflows for building, tuning, and deploying generative models like large language models (LLMs).
• Ensure Robust Monitoring: Tackle challenges like hallucinations, context loss, and ethical AI use in real-time.
Howso’s Role in Generative AI Innovation
Howso is proud to be at the forefront of generative AI engineering, offering solutions that empower organizations with:
1. Agentic Data Science: Implement an AI agent with automated data science capabilities to enable non-technical users to perform complex analyses.
2. Causal AI: Make informed, actionable decisions uncovering causal relationships within your data.
3. Data Engineering: Automatically enrich data sets across catalogs like Unity Catalog, Collibra, and Microsoft Fabric.
A Look Ahead
Generative AI engineering represents a paradigm shift in how businesses harness AI to drive innovation. Howso is committed to helping organizations navigate this transformative journey, offering state-of-the-art solutions that bridge the gap between ideation and implementation.
If you’d like to learn more about Howso’s GenAI Engineering capabilities, drop us a note here.
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