Artificial Intelligence has moved from research and discovery to implementation. In discussions with clients, ISG observes growing interest in and uses of AI in most industries and for a variety of functions, from simple customer service chatbots to self-driving vehicles. Recent ISG research shows that people involved in robotic process automation (RPA) believe AI technology skills for deploying and maintaining automations are most important to the future of automation and that there will be a high demand for talent that can help make business decisions that complement their RPA technology. By using IoT and AI in payment methods, for example, banks are working to transform their back-end processes and integrate them with front-end systems to develop a holistic and robust finance operation. But many enterprises are very early in their adoption of these new tools.

What the AI solutions providers don’t tackle is the significant issues enterprises face when venturing into AI. Many enterprises face the challenge of building the machine learning infrastructure they need to produce strong business results while the technical requirements keep changing. Though the mandate to prioritize AI may help enterprises, but machine learning is a rapidly changing field that requires enterprises to think critically about their investments in infrastructure and build an agile environment capable of adjusting to shifts in technology that can require different computing power and skillsets.

While the focus could help enterprises gain improved access to AI solutions, most enterprises don’t yet know where to begin with this emerging technology. Tecple’s Collaborative Intelligence blends the Artificial Intelligence I and Human intelligence to help enterprises get started with AI, whether it means consulting for right solutions or getting involved in implementation or work on demand model or discussing our own present and potential applications.