Despite a relatively widespread understanding that AI is an inevitable force for winning market share and serving customers, by name estimates some 80-90% of AI projects fail. When AI projects lead to successful deployments and strategic or measurable ROI, it isn't because the right vendor was chosen, or the right algorithm was used. It's because someone lead the charge and not only chose the right project – but won the trust and air cover needed to see it through to deployment. At Emerj, we refer to an "AI catalyst" as: Someone who leads their company to AI adoption and ROI. But what does it mean to "lead" in this context?

As artificial intelligence (AI) takes hold in the workplace, both employers and employees believe it will benefit the enterprise and help workers to be more productive. In fact, 93% of employees would be willing to take instructions from a robot, according to a new study Oracle conducted together with Future Workplace. That's not surprising, when you consider that employees encounter AI all the time as consumers. Most people today have no problem following the route our navigation app chooses or asking Siri or Alexa to put together a music playlist. Employees are ready for that kind of experience to appear in the workplace.