A collection of skills are then called be Digital Assistant. The topic is what you can relate this to a skill. It is like discussion of a particular topic. They help to group your chatbot for specific purpose. ODA (Oracle Digital Assistant) Chatbot Skills are like modules or features in applications. If you have complex user inputs, you may choose to include prompts and disable out of order extraction. For the moment, you may only use composite bag out of order extraction for clear distinct entity type. However, there is still some tweaking if you want to allow optional user inputs. This way, prompts will be used in sequence to ensure users key the right inputs.Ĭomposite bag is a first time to natural inputs. If you find it hard to resolve the ambiguity, a workaround is to disable out of order extraction. If there are multiple entities of similar type like string, a single string user entry will resolve for all the string entities in the composite bag. Ambiguous ConfusionĮnabling composite bag is straightforward if the entity field are distinct type like location, date time or number. The workaround is to let users skip or set a default value for the entities value. Currently, composite bag does not prove the options to state if the values are mandatory or optional. In this case, dessert is your optional add on that you may have. It is like ordering a meal and deciding if you should go for dessert. In the real world, there are optional and mandatory values that users require for their decision. However, there are certain things that I have encountered that will require some workarounds. The idea of composite bag is to emulate a realistic extraction of required values from user natural input. If it is not now, when will it be tomorrow?Ĭomposite bag in ODA (Oracle Digital Assistant) Chatbot is an interesting concept to extract values from user input. You should implement Chatbot to gain access to AI for the future. However, you should see Chatbot as a door into AI. It is correct to say current Chatbot is lacking in AI. There are many debates to why Chatbot is worth investing. Thus, it is hard to find a reason not to introduce Chatbot channel into your product offerings. Organisations who have been utilising Chatbot can easily gain access to AI. Soon, you will find many Chatbot equipped with AI and many other capabilities. Other resistance could be fear of losing jobs or the need to restrict information. If your organisation is conservative, they may feel that Chatbot is redundant. With Chatbot, you can easily bridge the gap to AI. Logic remains key driver for existing applications, not AI. By investing in a new channel like Chatbot, you will be compel to transform towards a future AI or Chatbot teams. Existing organisation are not structured for Chatbot or AI. So, is it worth to invest in Chatbot now? Chatbot will define TomorrowĪlthough Chatbot of today does not give what we envision, it holds a lot of potential for tomorrow. It may take a couple more years for AI to be mature in Chatbot. The true AI will be exceptions handling and problem solving. Anyone who have encounter Chatbot will find that the AI are only good to handle happy path. Chatbot AI (Artificial Intelligence) is still many years behind to what we see in movies.
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