AI is already transforming the way organizations across industries conduct business, manage clients, and engage customers. Though the benefits of integrating AI are evident, there are still many companies that have yet to implement cognitive technologies as part of their business strategy or operations. We have found that many business leaders are hesitant to adopt AI technologies mainly because they are not sure how to begin. The key to success is starting small with an AI pilot project—one that will deliver value quickly and secure internal buy-in for future programs.
To help business leaders gain the competitive advantage that AI has to offer, we’ve put together a guide to choosing the right use case for your AI pilot.
Best Practices for Launching an AI Pilot Program
Begin with a dataset that is consistent and clean
Data is the foundation of any artificial intelligence systems. AI and machine learning rely on statistical methods to find patterns in data and predict outcomes. To ensure reliable analyses and successful AI implementation, organizations must select clear and consistent datasets, focusing on quality and thorough cataloging. If your business doesn’t have a clean dataset, consider beginning with some basic data cleansing and organizing before launching an AI pilot.
Select an Existing High-Resource, Medium-Value Challenge
It’s best to begin by focusing on a problem that can be easily solved through AI, while providing positive ROI and minimizing potential risks. That’s why we recommend you choose to automate a process or program that traditionally requires a lot of staff resources and is of medium-importance to the business. It is unwise to start with a mission-critical project, because the likelihood of hitting a few roadblocks during your first AI project are high.
We suggest implementing AI to relieve staff of labor intensive tasks that are subject to human error. For example, processes that require employees to sort through high volumes of data, persistent customer service issues, or tedious administrative tasks that do not require subject matter expertise, can all be automated.
Improve an existing application by adding machine learning capabilities
It can also be quick and beneficial to apply AI to existing technologies for increased functionality. Existing applications can become intelligent through the addition of cognitive technologies such as NLP, video search APIs, text-to-speech, data analytics, and image recognition.
Solve a big pain point for a customer
Customer experience has quickly become the new battleground for businesses. In fact, by 2020, customer experience is expected to overtake price and product as the key brand differentiator. To keep a competitive edge in digital markets, businesses should focus on using artificial intelligence to solve major customer pain points and deliberately improve customer service interactions. Companies using AI tools, like chatbots, to improve customer experience will see increases in customer loyalty and engagement.
Whether you’re a large tech company, or a medium-sized enterprise, Artificial Intelligence will play a key role in the future of your business. If you haven’t already begun to review the ways in which AI will impact your industry, consider reading our AI E-book to learn more about specific case studies and key market predictions.