Technology Leadership and Data-Driven Decision Making
Description
Developing technical leadership capabilities and data literacy for making informed decisions in digital environments.
Learning Objectives
To build technical leadership competencies and data analysis capabilities that enable evidence-based decision making, technology evaluation, and strategic technology adoption in digital transformation contexts.
Topics (8)
Core technology concepts including cloud computing, AI/ML, IoT, blockchain, and their strategic business applications and implications.
AI/ML concepts, applications, and implementation strategies for business transformation including automation, prediction, and intelligent decision support.
Data analysis techniques, visualization tools, and business intelligence platforms for extracting insights and supporting strategic decisions.
Cloud service models, deployment strategies, and infrastructure decisions that support scalable, flexible digital operations.
Digital metrics, KPIs, and analytics frameworks for tracking digital transformation success and continuous improvement.
Cybersecurity frameworks, threat assessment, and risk management strategies essential for secure digital transformation.
Frameworks for evaluating emerging technologies including blockchain, IoT, AR/VR, and quantum computing for business applications.
Platform economics, ecosystem development, and network effects strategies for building sustainable competitive advantages.