Business Track
Kiasi Solutions Professional Development Seminar
Audience: C-Level Executives, VPs, Senior Directors
Duration: Full Day (6 hours)
Goal: Empower senior leaders with strategic insight into AI, Microsoft’s ecosystem, and monetization opportunities
Module 1: AI and Data Strategy.
Overview: Understanding the impact of AI and data-driven decision-making in business transformation.
Duration: 2.5 hours
Learning Objectives
- Understand the strategic impact of AI and data on modern enterprises
- Learn how AI is transforming industries and business models
- Evaluate organizational readiness for AI adoption
Topics Covered
- The Data Deluge: Why data is the new oil, and how to harness it
- The AI Evolution: From rule-based systems to generative AI (ChatGPT, Copilot, etc.)
- Disruptive Innovation: Case studies in healthcare, finance, retail, supply chain, energy, construction
- AI Maturity Models: Where is your organization on the AI maturity curve?
- Organizational Challenges: Ethics, governance, culture, and change management
Activities
- Executive Poll: AI readiness and perception within the organization.
- Interactive Case Study: Discussion on “What does AI disruption look like in your sector?”.
Module 2: AI Monetization & Business Models.
Duration: 3 hours
Learning Objectives
- Evaluate revenue-generating models powered by AI
- Explore cost-savings and productivity-enhancing strategies
- Learn frameworks for scaling AI across the enterprise
Topics Covered
- Productizing AI (SaaS, PaaS, APIs)
- Internal efficiency vs market-facing monetization
- Personalization at scale
- Subscription and usage-based models
- Data-as-a-Service (DaaS)
- AI-augmented services
- Supply Chain Control Tower
- Revenue Efficiency Models
- ROI on AI investments
- Value of data assets
- Employee productivity gains
Activities
- Business Model Canvas Exercise: Redesign a traditional product with an AI layer
- Discussion: “Should your company charge for AI features—or build loyalty?”
Module 3: Microsoft AI & Fabric Overview
Duration: 2.5 hours
Learning Objectives
- Understand Microsoft’s AI and Data platform strategy
- Explore Microsoft Fabric and how it unifies data management and analytics
- Identify integration points for Copilot, Azure OpenAI, Power Platform, and Fabric
Topics Covered
- Azure AI Services (OpenAI, Machine Learning, Cognitive Services)
- Microsoft 365 Copilot, GitHub Copilot, Dynamics AI
- Unified data lake, Lakehouse architecture
- Real-time analytics, Data Factory, Synapse, Power BI Integration
- AI-driven Compliance and Regulatory Oversight
- Ethical AI Governance and Bias Mitigation
- AI Powered Policy Enforcement
- AI in Cybersecurity Threat Detection and Response
- AI for Identity & Access Management (IAM)
Activities
- Live Demo: Microsoft Fabric and Power BI Copilot in action
- Strategic Mapping: Identify opportunities to replace legacy data infrastructure
Wrap-Up & Path Forward.
Duration:30 minutes
Summarize key takeaways from all modules.Q&A and open discussion