Reframing digital transform through the lense of generative AI (19459000)
The adoption of generative AI technology by enterprises has grown explosively in the past two years. This new generation of large-language models (LLMs), which is based on the latest AI technology, has been used to accelerate research and automate content creation. It also replaced chatbots that were clunky with AI assistants, and more sophisticated AI agents, which closely mimic human interaction.
In 2023 and 2024, we will see enterprises experiment, testing out new use-cases to see, “What can this technology do for me?” explains Arthy K. Krishnamurthy. Senior director for business transformation, Dataiku. While many organizations were eagerly adopting and utilizing these exciting new capabilities some may have underestimated how important it is to thoroughly scrutinize AI risks and recalibrate current frameworks and forecasts of digital transformation.
Krishnamurthy says, “Now the question is how fundamentally this technology can reshape the competitive landscape?” “We are not just talking about technology implementation, but also about organizational transformation. Expansion does not follow a linear path, but requires a strategic recalibration that requires deep systems thinking.
The key to this strategic recalibration is a refined approach to ROI and governance within the context of generative AI led digital transformation. Kevin Powers, director at Boston College Law School’s Master of Legal Studies in cybersecurity, risk and governance, says that this must start at the C-suite level and the board. Focus on AI as a core part of your business. Plan your actions.”
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