“‘AI-powered’ is tech’s meaningless equivalent of ‘all natural.’” –Devin Coldewey, TechCrunch
AI-powered is a vaguely applied and meaningless marketing term. It can mean whatever a vendor wants it to mean, and increasingly it translates to “we sell chatbots – you should get one.” There are also vendors who claim their system is fully automated when really the work has just been outsourced to other humans that are paid less to do it.
If we look beyond the AI hype, we see that singapore whatsapp number data organizations really want to use data in ways that can benefit their business. Sometimes simple data analytics might be what is most effective. In other cases, perhaps machine learning is required, or maybe even a chatbot. The point is that there are too many misaligned incentives with AI hype to induce leaders to just rush out and sign up for whatever an “AI-powered” vendor happens to be selling. Instead, leadership should go back to basics to consider how to use data most effectively in their organization:
Start with the business problem that needs to be solved
Realistically assess the role that data and automation (aka “AI”) can play
Determine the ROI on AI – don’t assume it’s all upside
Understand organizational readiness and capacity for using data and for AI adoption
Ensure risks are clearly assessed and accounted for in the analysis, including AI governance as part of ongoing risk mitigation
Set realistic time frames and dispense of FOMO-driven deadlines
Exploring these topics and having these kinds of conversations can help people see beyond the AI snake oil to the real opportunities and challenges for your organization. Leverage these messages about AI realities to have this conversation with your organization’s leadership.