If you’re not ready for the AI revolution, you’re not alone. While around 79% of executives recently surveyed said they had already seen the effects of AI on their business, only 36% had some sort of change management strategy or steps to adopt AI. AI strategies don’t have to be adopted en masse but make no mistake. If your company always wants to be one step ahead, introducing a targeted artificial intelligence strategy is the way to go. Here are three ways you can adopt AI.
Messages are one of the most important ways customers want to interact with a company. Chatbots can be a small way to give customers what they want. With advances in natural language processing, your customers may not even know they are talking to a machine, not a human. One of the great benefits of using a chatbot is to relieve your human team of some of the customer service frustrations. People tend to ask the same questions over and over again. What are your working hours? Chatbots never tire of answering such questions. You save a lot of personnel by letting the machine process answers to inquiries. When a problem or question is more complex, chatbots know to forward the conversation to a real person to end it. The whole process is easy to implement and your software engineer should be able to handle it. If you don’t have an engineer, hire a capable company to develop this chatbot.
Implement deep learning
If you have a capable data science team, turning to deep learning can help you figure out what your unstructured data is trying to convey. You can invest in further training of your current data scientist or hire a data scientist with experience in neural networks. You can start refining the current model built for structured data. Give your data scientist or team the freedom to reconsider the model and watch the magic happen. The only upside is, your team has to work on something meaningful instead of digging through the hell of code, and you get to expose a wealth of hidden information that doesn’t fit your columns and rows.
Invest in learning
If you are still worried about these small steps yourself, now is the time to invest in training your employees. Technical staff will benefit from training in deep learning, transfer training, and neural networks, so make sure they have access to these opportunities. So you’ll be ready when the time to jump comes. Don’t forget about the non-tech staff. AI will change the way companies work and your team needs to be prepared for AI team members. This hybrid workforce will change the way you work and requires a change in company morale and culture. Investing in training and education for change can help other members of your team understand what’s going on and make that change easier.
Automate simpler tasks
Sometimes your team needs a demonstration of the impact of AI before implementing a larger customer-facing solution. Automating the work that fills a team’s life can be a great way to leverage AI on a smaller scale and an important step in adopting AI. Intermediate assignments can include data entry or financial spreadsheets. This can also include complex contractual agreements or legal analysis. Whatever’s draining your team’s time and resources, there’s an AI solution for that. Decide the main issues that are blocking processes and preventing people from working on high-level tasks and solutions, and find ways for AI to take over.
Start small, end big: key steps to adopting AI
You won’t be able to avoid AI if you want to stay competitive, but while you’re ready to hire a dedicated AI engineer or implement a large-scale solution, there are some small steps you can take to make the best of AI, by helping your human talent. For many of you, using a chatbot alone can reduce the number of hours your team spends on simpler tasks, but automating other things that burden your team’s day-to-day operations can boost innovation and morale. A succesful digital transformation strategy can include these small steps. Even if you’re not ready to take the step, you can invest in training for tech and non-tech team members. When everyone is ready to embrace AI and understand how machines on teams are changing the way they work, education can make this easier. No matter how important you are, AI will affect every area. Start small if necessary, but starting from scratch is key.