Where should you start an AI project?
We recommend not “boiling the ocean” when it comes to your first dance with AI. You’re already testing out methods that need to prove themselves, so find a place for it where the energy is already being spent in the company. Don’t use AI to try to bring attention to a low-priority item. Where is the company actually investing its resources – financial and otherwise? Look at actual investment decisions for new technologies.
Here are some top ways to incorporate AI/ML into businesses. These are based off use cases that are more commonplace, have proven success, or the technologies are past the early adopter phase.
1. Customer interaction to manage their accounts and personal support
Customer interactions are usually done through AI-powered digital assistants, voice, or chatbots. In addition, automated social media responses, agent decision support tools, sentiment analysis, and computer vision for object/issue recognition. This helps understand the customer requirements clearly, solve specific issues with minimal resources, and increase customer engagement.
2. Seek to transform with AI by modernizing existing applications
Smartbridge considers your existing applications and uncovers possible ways to integrate AI into legacy systems, breathing new life into costly, embedded core systems. This is a great way to incrementally build trust and credibility in AI.
3. Pre-built services
Pre-trained AI models without the need for ML expertise. They can have functionalities like vision, speech, language, search, and decision-making. These services can help deliver business value quickly, help the stakeholders work with AI-driven insights, and assist in change management.