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Our Consulting approach to the adoption of AI and intelligent automation is human-centered, pragmatic, outcomes-focused and ethical.
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Where should organizations hone in on to keep up with these new technologies in a way that benefits them?
Traci: There are three different ways that organizations need to focus in the space of generative AI.
- The first is the plan to govern. How are you going to manage those models? How are you going to prepare for the emerging landscape of regulatory pressures and how do you have the capability to have an ethical compass? So, “How should I use my AI?” and, “How shouldn't I use it?”
- The second is to flip the script on transformation. So long are the days of people, processes, and technology. We need to change that to a transformational approach. That is, “How do I have people at the center that are enabled by data and by AI?”
- Third is the data. We need to be investing as much in the data as we are in the AI.
Data is so important. So, let's talk about how critical that is to this process.
Traci: Data is an absolute imperative. At the root of it, data is the fuel that will produce trusted and reliable AI. Organizations that haven't effectively invested in modern data platforms and effective data governance are quickly going to realize that they can't produce the value and the outcomes that they need out of the AI they're investing in.