What use is a chatbot without data, or the systems that house that data? Not much, when you think about it. Sure, you could build a chatbot and hard code canned answers to users' questions into its programming, but if you want to build an AI-powered, intelligent bot that responds in a contextual and personalized way, you not only need natural language processing and machine learning tools, you also need data that the bot can access to provide its users with the most relevant answers.
In a new Forbes article, Alexa Morales speaks with Oracle Vice President of Product Management - Mobile, Bots & AI, Suhas Uliyar, to learn more about the larger questions that enterprises need to ask when developing chatbots. In this context, "how do I build my first chatbot?" is too narrow in scope. To survive in this hyper-competitive, on-demand world, large businesses must think in broader terms, across departments, technologies, channels, and even time if they are to avoid disruption from smaller more nimble competitors. A more appropriate question that an enterprise might ask could be "how do I build an intelligent, AI-powered user experience that can connect with all of my back-end systems and adapt to different communication channels over time?" Answering this question still could lead a company to focus on chatbot development, but in the context of a larger, enterprise-wide, AI push that will be needed as user demands, and the personalized, automated responses created to engage with users, increase exponentially.
When considering these questions as you begin chatbot development, Uliyar advocates paying attention to four key concepts:
1. Understand how complex each messaging channel actually is:
2. Don't trivialize Machine Learning and Natural Language Processing:
3. You need a good dialog engine to create a good chatbot:
4. A chatbot without enterprise integration isn't tapping into its full potential:
Fortunately, Uliyar reveals that Oracle Mobile Cloud Enterprise can address all of these concepts. To read the full article on Forbes, click here, and to learn more about Oracle Intelligent Bots, visit oracle.com/bots.