Programme Content
Digital Transformation: Data to Insights to Strategy
Innovation and the Data Science Pipeline
Agency: Innovation for AI
Computer Vision Case: Zebra Medical Vision
Where is AI successful today and why?
What are some winning strategies in AI?
What are the best practices and challenges with implementing AI?
Enabling Technologies with Data
Machine Learning, Neural Networks, and Applications
Robotics: SLB Case Study
Sequential Decision Making and Reinforcement Learning
Creating Value
Innovation Cycle
Open Innovation
Innovation Portfolio Management
Leading Digital Change: Decision Making in Teams
Leading Digital Change: Negotiating in Teams
Leading Enterprise-Wide Digital Change
Leading Digital Strategy: Organizational Change (Simulation)
Leading Digital Strategy: Simulation Debrief
Leading Digital Strategy: Social Networks
Leaderless Group Exercise
Influence and Conflict: Persuasion Principles
Debrief Leaderless Group Exercise
Integrating Concepts
Digital Strategy: Embedding Cultural Change
Future of Work: People and Cultural Analytics
Enterprise Agile
AI and Data Strategy
Vodafone: Managing Advanced Tech and AI
Digital Transformation at GE: Shifting Minds for Agility
AI Architecture and Digital Operations
Product Architecture (Make vs Buy)
Product Architecture (Startup Partners)
CTO/CFO
Go to Market
Capturing Value from AI
Measurement Experimentation (Rocketfuel)
Marketing Analytics
Humans and AI
Algorithmic Bias
Data Protection in the Age of AI
The Cybersecurity Threat of Generative AI
Align strategy for artificial intelligence (AI) and analytics by capturing data-enabled business opportunities and apply an AI-centric operating model where it delivers real impact and value
Solve real business problems using predictive, prescriptive, and experimental techniques to drive results
Ensure responsible data and AI practices by addressing ethics, privacy, and governance to build trust
Create data-based decision-making models across your organization
Leverage data and experimentation to drive innovation
Better evaluate business analytics approaches and strategies
Develop a virtuous cycle built on user engagement, data collection, algorithm design, prediction, and improvement
Enhance your expertise in data analytics, strategy, and management, including data architecture, governance, quality, and technologies
Explore the future of data, especially new trends such as automation and artificial intelligence (AI)
Stay up to date with the latest approaches for developing and implementing data strategies that are innovative and impactful
Design data strategies that connect business objectives to data that support faster, more informed decision-making and AI-driven outcomes
Access practical and actionable learnings that can be directly applied in your work with real-life case studies and examples
Position yourself as a data strategy specialist and lead data-driven transformations, opening new career opportunities
Acquire specific knowledge and skills to excel in new data-oriented roles and responsibilities
Core faculty sessions led by members of the Faculty Advisory Board
Masterclasses featuring distinguished Berkeley faculty
Keynote conversations with industry leaders
Peer circles designed for trust-based exchange
Reflection and integration moments
Graduation and community celebration
