May 2025 Recap: Build 2025 and Enterprise AI

May 2025 was highlighted by Microsoft Build 2025 and enterprise AI themes. Here’s the summary.

Key Topics This Month

Build 2025 Announcements

• Azure AI Foundry enhancements
• Copilot Stack deep dive
• Developer tools with AI integration
• Semantic Kernel 2.0 release

AI Governance and Security

• AI governance frameworks
• Responsible AI practices
• AI security best practices
• Prompt injection defenses

LLMOps and Operations

• LLMOps practices
• Prompt management
• Model versioning
• AI monitoring dashboards
• Incident response

Cost and Capacity

• Capacity planning for AI
• AI FinOps
• Reserved capacity strategies
• Cost optimization

Quality and Testing

• AI testing frameworks
• Continuous evaluation
• Drift detection
• Human feedback loops
• AI debugging

Enterprise Adoption

• Enterprise AI adoption strategies
• Change management
• Measuring AI ROI
• Use case prioritization

Code Patterns to Remember

# May 2025 Essential Patterns

# 1. Continuous evaluation sampling
async def evaluate_sample(interaction: Dict, sample_rate: float = 0.1):
    if random.random() <= sample_rate:
        scores = await evaluate_quality(interaction)
        await store_metrics(scores)
        if scores["overall"] < 0.7:
            await alert_team(interaction, scores)

# 2. Drift detection
def detect_drift(baseline: List[float], current: List[float]) -> bool:
    _, p_value = stats.ks_2samp(baseline, current)
    return p_value < 0.01  # Significant drift

# 3. ROI calculation
def calculate_ai_roi(investment: float, monthly_benefit: float, months: int) -> float:
    total_benefit = monthly_benefit * months
    return (total_benefit - investment) / investment * 100

# 4. Use case prioritization
def prioritize_use_case(value: float, feasibility: float, risk: float) -> float:
    return (value * 0.4) + (feasibility * 0.3) + ((10 - risk) * 0.3)

Key Takeaways

1. Build 2025 set the agenda - Major platform updates and new capabilities
2. Governance is essential - AI governance frameworks becoming standard
3. LLMOps is maturing - Production practices for LLM operations
4. ROI must be demonstrated - Clear metrics for AI value

Looking Ahead to June

June focuses on:

• Implementing Build 2025 features
• Summer AI project planning
• Deep dives into new capabilities
• Preparing for Q3

Stay tuned for more practical AI content!