As the hype around artificial intelligence (AI) grows, it can be difficult for organizations to separate the signal from the noise. While the potential benefits of AI are vast, it’s important to approach implementation strategically and thoughtfully to maximize its impact.
Jeremy Kushner from BACS Consulting Group states, “There are great practical applications for AI such as accounts payable, customer service, and appointment services. However, organizations must start by creating a list of potential use cases, measuring the time spent on tasks, and then prioritizing what can be implemented.”
This approach involves a systematic and data-driven approach to identifying and prioritizing AI use cases based on their feasibility, potential impact, and alignment with the organization’s business goals. By focusing on areas where AI is likely to deliver real value, organizations can avoid getting caught up in the hype and instead focus on practical, impactful use cases.
It’s also important to understand the technology and its limitations before diving into implementation. AI is a complex and rapidly-evolving field, and it can be difficult for non-experts to keep up with the latest developments. That said, having at least a basic understanding of AI is important to make informed decisions about implementation.
Another key consideration is data. For AI to be effective, it requires access to high-quality data. Before launching an AI initiative, it’s important to evaluate the data you have available and determine whether it is sufficient for the intended use case. This might involve cleaning and pre-processing data or collecting new data from relevant sources.
Ultimately, the key to separating the AI signal from the noise is strategically and thoughtfully approaching implementation. By starting with clear business goals, understanding the technology, identifying realistic use cases, evaluating the data, and prioritizing implementation, organizations can make informed decisions about AI and maximize its potential impact.
AI is a powerful technology that can potentially transform how we do business. But to reap the rewards of AI, organizations must be able to separate the signal from the noise and focus on the applications that are most likely to deliver real value. Jeremy Kushner notes, “By taking a systematic and data-driven approach, organizations can identify practical applications for AI aligned with their business goals and deliver real value.”
