Businesses have a hard time thinking about AI as a core of operations to increase business value rather than a mere source of innovation. The fundamental reason for this setback is the lack of a ‘guide’ to scale AI in your business. If an enterprise is able to reach the proof of concept (POC) stage for any AI model, they don’t have a road map to take that model from POC to production, efficiently and expediently. To change this status quo around AI requires a great amount of flexibility, resources, and most importantly, an open mind🧠.
Additionally, many businesses fall into the vicious cycle of re-inventing the wheel from scratch due to the lack of insight into the AI landscape. More than 80% of ML models don’t make it to production. Companies should rather use low-cost, democratized, and productized AI options from the get-go (Check out Hazlo.ai 😊)
The Three Steps to an AI-powered Organization 🦾:
🔸First, your AI integration needs must align with your company’s business strategies, goals, and mission. When we think about what a business seeks out of operations, it is then much simpler to think about how those goals and objectives can be met efficiently by incorporating AI.
🔸Second, it is important to have a diversified multi-disciplinary team or set of partners. You may need a great variety of people, from multiple disciplines to think of efficient and smart integration of AI models, helping in the overall productivity of operations in your company.
🔸Lastly, and most importantly, Trust. Manage and address the concerns of members of the organization. Internal resistance often leads to the poor outcomes of tech adoption. We are all concerned with how our data is being processed and analyzed and this is a genuine concern.
To scale AI in your business successfully, follow these key steps. With the right governance and skilled partners, your business will be able to dive into a new wave of tremendous value by successful AI scaling.