Category: Risk, Resilience
Coming soon…
- How to plan for AI-ML projects?
- How to setup AI-ML projects?
- How to do Risk management for AI-ML projects?
- How to ensure that AI-ML projects will be delivered successfully?
Coming soon…
- Power of Digital Operating Models – digital (AI and Analytics) at core, data-driven, agility, scale, continuous growth, innovations, network effect, ability to both generalize and specialize, …
- Traditional Operating Models – siloed, inflexible, complex, growth only up to a point then diminishing, specialization, …
- Take care of your team – address their concerns, recognise, motivate, mentor, groom, empower, encourage team working
- Define & agree clear KPIs, RACI matrix with clear responsibilities and accountability for all the stakeholders
- Practice Lean – Increase value added services, minimise non value added tasks, eliminate wastes
- Use optimum span of control for managers & team leaders and optimum resource pyramid
- Follow knowledge management best practices
- Use standard tools and processes
- Reuse -frameworks, approach, solution, components, etc.
- Ensure team mix with right competencies are deployed
- Ensure right level of governance
- Define and implement quality gates
- Automate, semi automate repetitive tasks, reports where feasible
- Ensure tight control over startup activities for new project/phase or service until steady state reached