I am an author, independent researcher and speaker exploring innovation, information technology trends and markets. I served as co-chair of the AI Summit in 2021 and 2022, and have also participated in the IEEE International Conference on Edge Computing and the International SOA and Cloud Symposium series.
Technologists may be very adept at creating highly innovative AI projects. But the key is how early they are able to hand off their innovations to bossiness leaders, who are then charged with delivering on its potential business processes. Getting the most out of AI? It all starts with inspired leadership that recognizes how it can benefit the customer. As with all technologies, it’s all ultimately about the customer., founder of DeepLearning.AI and adjunct professor at Stanford University.
The lesson here is that business leaders and managers need to get involved with AI efforts early to help bring innovation to the customer."Current AI development is largely being steered by technologists," observes, vice president of data ethics for SAS. “Not only that, but technologists also are frequently driving the conversation around AI.”
There are risks of having AI initiatives remaining too long within the technological domain. “Like any person with expertise or skills in a particular area, technologists are going to have blind spots,” says Townsend. “They are trained on precision and mathematical accuracy but the application of AI in the real-world can get messy quickly. Being technically accurate does not always lead to ideal outcomes in areas like justice, well-being and equity.
Finally, he says, “in the productize phase, we integrate AI usage into our standard processes and team structures. This phase also involves continuous improvement, as we learn and iterate to enhance AI's impact on our work.”
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