An organization’s path to AI success can be full of obstacles. From a proper assessment of its own AI maturity to a better alignment between business and technical teams, many factors and decisions can influence the outcomes. All of this is tightly intertwined with a myriad of complicated technical decisions that can make or break any long-term AI strategy.
And while AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path of value-driven AI.
…and so many more useful, practical tips.
Being successful with AI is very hard. It requires the right technology and that the technology be end to end. It requires a plan for how you’re going to realize value. Those who just buy an AI tool and don’t do their due diligence on what the tool does, or don’t create a plan, are not setting themselves up for success, or certainly not on the timeline they would like.