Starting AI on the right track
Artificial intelligence has been part of the technology strategy conversation for several years. Recognition of AI’s value in key areas like revenue growth, decision-making, and customer experience is nearly universal.
Now that cloud infrastructure can support the access and use of large volumes of data, businesses are at the point where that value can be tapped. Fueled by new technologies like ChatGPT, optimism is high around the potential of AI with regard to automation: AI is going to do all the things we don’t want to do and free up lots of employees who can work in more productive areas of the business.
That optimism is not proving to be particularly well-founded, not because AI can’t accomplish “all the things” but because the path forward has not been as effective as it needs to be.
I was recently joined by Cameron Turner, Vice President of Data Science at Kin + Carta, and a group of senior technology leaders from a range of industry sectors to consider how to move forward with scalable AI initiatives that make a positive impact on business.
These are the topics and insights we covered in a very useful discussion about how and where to take the organization’s first steps into AI.