Seamus Blackmore is a partner and product leader at KPMG in Canada Lighthouse, the firm’s emerging technology practice. Ven Adamov is a partner and data and analytics leader in the firm’s risk consulting practice.
Business leaders need to be thinking about generative AI’s disruptive capabilities, how to navigate the challenges of this powerful technology, how to implement it responsibly and how to upskill talent for it. Every executive should have a baseline understanding of how their department could be disrupted by generative AI so that they can ride the wave instead of being crushed by it.to see how it can improve their operations, compared with 65 per cent in the U.S.
Encouraging a culture of experimentation and transparency with generative AI tools in a controlled environment could help your organization discover new use cases for generative AI. For example, many companies have held “prompt-a-thons,” where employees are challenged to generate new ideas and prompts to find solutions to common business problems. Exercises like this are great ways to spur innovation without compromising company data.
Ensure the data used to train your model is accurate, recent, relevant and unbiased and your algorithms can be easily understood, accessed and explained by internal and external stakeholders.