In navigating the complexities of Impact Measurement and Management (IMM) practices, investors and enterprises encounter significant challenges that hinder their effectiveness. These challenges include ensuring data accuracy, adapting to dynamic contexts, adopting appropriately rigorous measurement practices, and fostering transparent communication with stakeholders. Amidst these obstacles, the integration of Generative Artificial Intelligence (GenAI) offers some solutions that could enhance IMM processes and outcomes.
Organizations often grapple with understanding how to leverage GenAI effectively while addressing practical considerations and ethical concerns. This session offers a pragmatic examination of the possibilities and practicalities surrounding Gen AI in IMM.
Through a short viewing of several prototypes, attendees will gain insights into how GenAI can be harnessed to overcome challenges and optimize IMM frameworks to understand overall effectiveness and enhance reporting transparency among stakeholders.
A discussion will follow, driving attendee collaboration and idea exchange around this topic, including the value, risks, challenges, solution requirements, benefits, and best practices.
– Intro: Topic introduction (5 minutes)
– Practical Use Cases for GenAI in IMM (15 minutes)
– Overview of Salesforce Einstein’s Copilot GPT and Amp Impact: (10min)
– Group breakout discussion / virtual Q&A – using interactive tools such as a Menti board (25 minutes)
– Summary and close (5 minutes)
Examples of Menti board questions to the audience (but not limited to):
1. Will GenAI in IMM make a difference? If so, what is the vision? What is the reality?
2. Will GenAI in IMM break down silos and level the playing field for organizations across the globe?
3. Is GenAI a short-term fad or will there be longer-term benefits?
