Given the massive amounts of hype and promise surrounding AI and related technologies such as machine learning, it’s become increasingly difficult to make critical innovation and investment decisions in the space. In the rush to develop new AI projects, many are taking a technology-first approach by scrambling to use the latest AI techniques and buzzwords, which has led and will lead to many failed projects. In this webinar, we present a framework to reduce failures by starting with the end in mind—focusing on the outcomes, capabilities of today’s AI tools, and emerging solutions to the key challenges surrounding implementation.
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