What does it mean to be AI-Ready?
Artificial Intelligence (AI) and Machine Learning (ML) have burst into the spotlight in recent years getting attention from businesses and all levels of society. Awareness of AI has drastically increased as people become more familiar with how the tech giants are using data to enhance their products and create better solutions. The market is opening up to more AI-infused products, and the public are regularly interacting with AI as it slips into their day-to-day lives through smartphones and virtual assistants.
Many companies who are taking the plunge with AI initiatives are not coming out on top, and this is usually because they were not AI Ready when they thought they were. So what does it mean for a business to be AI Ready?
Is there a short cut? Absolutely. Companies wanting to make the most of AI immediately don’t have to go through an AI transformation process or compete with the budgets or talent of the tech giants or larger companies. As prices drop, they can begin by investing in AI-infused products like sales or CRM systems, cutting the need to assemble a data science team before interacting with AI. Businesses can engage in quick-win AI projects like reinforcing their customer service with chatbots, or by investing in AI-powered systems like cybersecurity software.
That said, it is still a good idea to get your team up to speed with good data practices, you never know your journey will take you in the future, but the future will rely strongly on data. Using ready-made solutions may be the best way to start, but eventually, you’ll want to build your own solutions, so there are several steps to take to set your business up for success before embarking on your own AI journey.
As we have discussed, it can be easy and attainable for companies to start using AI-products, but getting ready to build your own AI may be a different story. “Doing AI” isn’t really something that can happen overnight. It’s a long process, and it starts with your data and a wider understanding of the AI landscape.
Let’s talk about data culture. For any company to succeed with their data initiatives, they must foster a healthy data culture. Your team needs to understand how data can drive better decisions, and they must learn to trust the data they have access to. At that, everyone in your company should have access to some form of data! Data democratisation ensures that everyone trusts the data and builds a better foundation for its use.
Great things can start to happen when everyone is tuned in to the benefits of listening to data.
