GenAI
July 21, 2024On Track?
by Allie K. Miller
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Belief
- AI is a toy, all hype
- AI is a tool, helps me be more efficient
- AI is a system, shift in how we work
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Policy on AI usage
- Bans all versions and forms
- Allows only a few but with a clear policy around
- Multi-tiered tool usage approach, including a policy that allows employees to test new free consumer tools safely
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Tool Choice
- No adoption
- Selective adoption of proven AI tools (MS, AWS/Amazon Bedrock, OpenAI, etc.)
- Broad adoption, including experimental tech, working as design partner with 1+ AI providers
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Internal Training
- No related training for employees, process, external POVs
- Training programs for select teams (usu. eng, customer support, mktg)
- Extensive training programs available to all, with specialised tracks for different roles
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Budget
- Test without clear costs or KPI
- Allocates experimental budget to AI (% of revenue or R&D re-allocation)
- Comprehensive budget across both tech and change management (training, tool acquisition, testing, development of AI projects)
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Use Case Progress
- No uses cases in flight, waiting for perfect proof before starting
- Limited to a few specific LOB use cases + broad but shallow utilisation of productivity tools like Microsoft Copilot or ChatGPT Enterprise
- Sees AI as revenue opportunity, numerous use cases in production, universal employee access to AI tools, integration of AI into products for top-line growth
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Privacy and security
- Lack dedicated privacy POC, no formal policies, no data privacy training, non-compliant, no incident response plan
- Basic data policies, encrypt data, use access controls, provide regular employee training, comply with key regulations, anonymise data where possible
- Dedicated privacy team, privacy by design, manage 3P risks, continuous monitoring and audits, detailed incident response plan, transparent communication
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Talent
- No changes made in hiring or recruiting
- Hiring a few DS or MLEs; added AI reqs to engineering job descriptions
- Reallocated headcount across company for AI talent, up-skilling current employees, adding AI qualifications to job descriptions
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Thumbnail Attribution HERE
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