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BMA: AI Strategy & Digital Transformation
Operationalizing Data & AI Strategy
Curriculum
1 Section
23 Lessons
30 hours
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Unit 3 — Operationalizing Data & AI Strategy
23
1.1
Cost Considerations: Build vs. Buy
20 mins
1.2
Researching and Identifying Appropriate Use Cases
20 mins
1.3
Considerations for Foundation Models in Data Infrastructure
20 mins
1.4
Evaluating Skill Set Needs for Managing and Fine-tuning Foundation Models
20 mins
1.5
Strategies for Improving Overall Adherence and Compliance
20 mins
1.6
Defining the Scope, Schedule, Stakeholders, and KPIs for the Intended Data Initiative
20 mins
1.7
Addressing Data Skills and Literacy Gaps
20 mins
1.8
Stakeholder and Departmental Alignment
20 mins
1.9
To the Product and Program Managers
20 mins
1.10
Crafting an Effective Plan: Data Strategy vs. AI Strategy
20 mins
1.11
Financial Improvements Use Cases
20 mins
1.12
Notes
20 mins
1.13
Speed and Efficiency
20 mins
1.14
Extracting Relevant Information from Existing Documentation and Interviews
20 mins
1.15
Conducting and Producing a Data Resources Audit
20 mins
1.16
Notes
20 mins
1.17
How to Write a Project Charter
20 mins
1.18
Developing Training Plans
20 mins
1.19
Training and Hiring Recommendations
20 mins
1.20
To the Data and Technology Professionals
20 mins
1.21
Data Product vs. Data Project vs. Data Initiative
20 mins
1.22
Data Monetization Use Cases
20 mins
1.23
Recommended Reading
20 mins
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