ACTIVATE Establish a robust ops model with a focus on governance A well-defined and scalable operating model is essential to successfully integrate Gen AI into any business operations. The model outlined in this section, which comprises the Gen AI Center of Excellence (CoE) , the Gen AI Core Team, and the Gen AI Governance Council, ensures that all implementation aspects are handled optimally efficiently and consistently. The collaboration between these model components also reinforces robust governance, promoting ethical practices and oversight throughout the AI integration process.
Strategic 4 weeks Aligning Gen Al efforts with
Advisory board (CEO+ External Gen Al expert advisor + strategic vendor 4- 2 board members)
organizational goals, assessing risks, & upholding responsible & ethical Al norms, Scale up to companies & functions as well as monitoring
Gen AI Council (incl. RAI team, legal team)
Operational
2 weeks
Functional CXOs
Live Poes and feasibility of Scale ups. Collaboration among various data science teams is fostered through the COE to democratize the technology and best practices effectively. Day-to-Day Experimentation and feasibility of PoCs. Assessing the enterprise's readiness for Gen Al initiatives and establishing the necessary infrastructure for experimentation. Foundational
Gen Al Centre of Excellence
Gen Al expert + Change management monitors
Gen Al Core Team embedded across functions (demand, supply, ops, HR, finance, legal)
Trainers for prompt engg. & upskilling
Gen Al tech infra
Figure 11. Gen AI Governance and operating model
The first area is foundational , where the model assists in evaluating an enterprise's preparedness for launching Generative AI initiatives, while also helping to set up the necessary infrastructure for such undertakings. Next, we have the operational area. This model aspect offers oversight and guidance for deploying Generative AI initiatives. It uses large language models and aligns with selected Gen AI tools and technologies. It also encourages collaboration among data science teams via the Center of Excellence and the core team, thus facilitating the widespread understanding and effective implementation of this advanced technology.
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