Every company’s artificial intelligence (AI) journey is unique. So is its application of AI.
Maybe your company has invested in big data systems and wants to apply AI but is unsure where to start. Maybe you want to identify the areas in which AI can add maximum business value. Perhaps it’s finalizing the underlying technology stack.
There is no general-purpose AI, and that’s a frustrating reality for organizations. Getting up to speed on AI is a journey rather than a sequential maturity curve for good reason: Every application and use case requires different tools and algorithms. The chatbot for a financial service provider’s IT help desk, for example, can’t be applied to the company’s home-loan call center. An algorithm trained in pharma to read documents for adverse event recognition can’t be reused in a banking context to recognize anomalies in mortgage applications, even though the technology stack and technique may be the same.