Ethics in AI is a hot topic
How can corporations navigate this topic?
Our answer is a course called 'Addressing Bias Via Analytics.'
Course preview here
Revenue
Competitive Intelligence
- How can I differentiate what is real from what is hype?
- Who is hiring and how do you know?
- What are the most common use cases within my industry?
- What does an analytics enabled operations transformation look like?
- How can my firm differentiate itself?
- Which use cases are my firm best positioned to deliver?
- How can I stay current with academia?
- Can inucumbents compete? Is this worth our time?
Data as a strategic asset
- What is the first step to monetize data?
- Can I build a new business with my or others' data?
- How can I understand what data I have and opportunities to leverage it?
Commitment and delivery of new products
- How do I raise interest and generate demand for a use case?
- What are the must have pre-requisites before committing?
- How do I ensure the product will be used by future stakeholders / future users?
Cutting edge algorithmic methods
- What are the must know set of analytics methods?
- What are the hot new methods and how are they generating value?
Cost
Execution
- What are the primary cost drivers to analytics initiatives?
- How can I de-risk my projected spend? How can I sleep better at night?
- How do I decide to build in house or out-source?
Tools
- How do I get oriented to the current IT tool landscape (platform, cloud, etc.)?
- How do I get pricing benchmarks?
Internal Capability Building
- Can you show me examples of analytics centers of excellence (COEs)?
- What are the most common titles and roles that support the data and analytics function?
- How do I hire analytics talent? What are the salary bands?
- How do I on-board, integrate, and train these groups?
- What is an X data scientist?
- How do I know if my internal group is performing? What metrics do exist?
Business Self Serve Model
- What is the self-service model?
- How do I build it?
External Data Acquisition
- What external data is available to me?
- Who are the vendors?
External Resources
- How do I get smart on the analytics vendors available to me? How do I assess their skill level?
- How do I manage an analytics vendor?
- How do I prevent vendor lock-in?
Risk
Execution Risk
- How can I manage a project once I have committed budget to it?
- Can you show me commonly used operating models?
Bias/Ethics
- What types of bias issues do I need to be aware of?
- How can I mitigate them?
Data Governance
- What are key considerations for proper data governance?
Analysis Risk
- How do I know when to get involved in the analytics process?
- What tools exist to allow me to stress test the product? How do I trust it?
Data Risk
- How can I inspect the data?
- How do I know the data is relevant?
Reliance on experts
- How do I independently assess the skills of experts that I rely on?
- How do I know if my CDO is at the level of industry peers?
- What do my experts (lawyers, social media managers, HR leaders, etc.) need to know?
Audit and Compliance
- What is interpretable vs explainable?
- Is using open-source software a concern?
Unity of Mission
- How do I get my business team, operations team, IT team, etc. all on the same page?