AI for Legacy System Modernization
How to use AI to accelerate legacy system modernization, covering code analysis, documentation generation, migration assistance, and …
Enterprise
AI Model Governance - Managing Models in Production
How to implement model governance for production AI systems, covering model registries, approval workflows, audit trails, and lifecycle …
AI Security Best Practices
Security considerations for AI systems, covering prompt injection, data poisoning, model theft, access control, and building …
Azure OpenAI - Enterprise GPT on Microsoft Cloud
A comprehensive reference for Azure OpenAI Service: enterprise-grade GPT access, content filtering, data residency, and integration with the …
Build vs Buy for AI Solutions
A framework for deciding whether to build custom AI solutions or buy commercial products, covering cost analysis, capability comparison, and …
Business Process Management (BPM)
A discipline for designing, executing, monitoring, and optimizing organizational business processes.
Conducting AI Risk Assessments for Enterprise Deployments
A structured methodology for identifying, evaluating, and mitigating risks in AI systems before and after deployment.
Developing a Data Strategy for AI Initiatives
How to assess, prepare, and govern your organization's data assets to support AI projects effectively.
Enterprise Cloud Governance Framework
A comprehensive framework for governing cloud environments that host AI workloads, covering organizational structure, policy enforcement, …
Framework for Evaluating and Selecting AI Vendors
A structured approach to evaluating AI vendors covering technical capabilities, data handling, compliance, pricing, and long-term viability.
GPT-4 vs Claude for Enterprise Use
A practical comparison of GPT-4 and Claude for enterprise applications, covering performance, integration, compliance, cost, and deployment …
Information Systems Overview
An overview of the information systems discipline, covering types of IS, their role in organizations, and foundational concepts.
IT Governance Overview
An overview of IT governance principles and frameworks for ensuring IT investments support business objectives.
Responsible AI - A Practical Implementation Guide
How to implement responsible AI practices including fairness, transparency, accountability, and privacy in enterprise AI systems.
Risk Management for AI Projects
Identifying, assessing, and mitigating risks specific to AI and ML projects, from data quality to model failure to organizational …
SAFe for AI - Scaling Agile in AI Programs
Applying the Scaled Agile Framework to AI programs: portfolio alignment, PI planning for ML workloads, and coordinating AI delivery across …
Service-Oriented Architecture (SOA)
An architectural style that structures applications as a collection of loosely coupled, interoperable services.
Prompt Engineering for Enterprise AI Applications
Practical prompt engineering patterns for production AI systems: system prompts, few-shot examples, chain-of-thought, structured output, …
Claude by Anthropic - Enterprise AI Assistant
What makes Claude useful for enterprise applications, model tiers, key strengths, access options including through Amazon Bedrock, and …