IBM Technology Expert Labs PLAN watsonx.governance Offerings help clients with planning out your next-generation AI platform and assessing your risk posture against the growing regulatory policies around transparency, explainable AI workflows and ethics based large language models.

Our deep, technical consultants will provide 40 hours of architecture consultation to help you de-risk incorrect deployment models and ensure you know how to leverage watsonx.governance a governance toolkit designed to automate and accelerate workloads across the AI lifecycle while providing risk management and facilitating regulatory compliance.

Business Challenges (discussed in the briefing) may include:

(1) Lack of familiarity with Gen AI technologies and governance knowledge in-house (2) Pressure to accelerate adoption of Gen AI and large language models (LLM) technology without understanding best practices for varied deployment models for Azure or hybrid cloud (3) Basic knowledge on how generative AI compliance and governance works

Outcomes & Deliverables Desired for the Offering (discussed in the briefing) may include:

(i) How to leverage watsonx.governance so AI builders and risk advisors in your enterprise can verify risk posture.

(ii) An understanding of lifecycle governance – automate and scale model governance, provide stakeholder visibility with customizable dashboards and reports while capturing model metadata with factsheets for effortless report generation.

(iii) How to enable risk management – monitor for fairness, bias, drift and new large language models (LLM) metrics, proactively detect and mitigate risks based on pre-set thresholds.

(iv) How to monitor for compliance – interpret customized dashboard views and accommodate for changing AI regulations and industry standards.

Deliverables consist of a presentation slide deck containing: client readiness assessment; high level project plan; architecture blueprint; decision recommendations and advice.

Key Activities for the Offering (discussed during the briefing) may include:

• Use case identification and validation; • Defining business value; • Use case demonstration and pilots; • Defining or reviewing architecture; • Solution Validation; • Solution Enablement; • Production readiness; • Delivery proposal development; • Operations and management