Boring FAQ to engaging Digital Assitant under 5 mins

Majority of the websites have FAQ pages, and they are always dull. If only you could convert your FAQ to something more tangible that solves the users need you could resolve customer frustration of finding the right information. Moreover, if that experience is more interactive, it leads to an engaging experience where you can contextualise the data and also execute the task on behalf of the customer. We can create this rich experience by making your traditional FAQ’s wrapped inside a chatbot.

In this article let’s have a look at how we can quickly convert FAQ Pages to a Bot in minutes. Oracle’s natural language understanding technology and QnA engine available in Digital Assistant platform can sift through the historical FAQ data and answer even sophisticated requests from your clients. Further, you can handover complex queries to your support as I discussed in an earlier article

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Autonomous Digital Assistant to Human Agent seamless Handoff

In earlier articles, I discussed Autonomous Digital Assistantprovisioning a Digital Assistant, building skills and making it multi-lingual. In this post, I would like to take the discussion forward to address certain scenarios where there is a need for Human Intervention when the Bot cannot handle the conversation and instead redirect the chat to a human agent.

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Provisioning Autonomous Oracle Digital Assistant

In the last post, we talked briefly about the Oracle Digital Assistant. In this post, I would like to walk you through the provisioning process of the Autonomous Oracle Digital Assistant.

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Oracle Autonomous Digital Assistant: The new incarnation for conversation interfaces

If you are following the Oracle Autonomous Mobile and Chatbot Platform announcements you would have now realised that we have announced the availability of the Oracle Digital Assistant platform as a new SKU under the PaaS offerings.

In this post, I will delve deeper into the Oracle Digital Assistant offering and answer what I anticipate will be common questions about the changes.

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PeopleSoft Integration using Oracle Integration Cloud – Part 2

Now we’re ready to create connections and integration from OIC. If you missed part 1, please go for Part 1 now.  Also my colleague Carlos already wrote excellent blog, Teaching how to integrate Salesforce and Sale Cloud with Oracle Integration Cloud Service so you can look at how to configure outbound message from Salesforce.com and Salesforce Connection with Trigger from OIC.

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Teaching a trick to easily import Excel Data into Oracle Autonomous Database (ADW and ATP)

The other day my boss shared with me a nice trick that I found it very useful and has simplified my life a lot, when creating demos or quick prototypes. For this reason and knowing how many people are quickly switching into using Oracle Autonomous Database (ADW or ATP), I thought it would be a good idea to be shared as a quick reference.

The trick consists in using SQL Developer to easily import Data from Excel spreadsheets, directly into Oracle Autonomous DB (ADW or ATP). This also opens up a nice wizard that helps create and configure new database tables to be created and then used to import the data. How cool is that?

This complements a previous article that explains how to provision and get started with Oracle Autonomous Transaction Processing Database. Also, we have published articles to get started with Oracle Autonomous Data Warehouse.

Remember, the difference is simple:

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Building a Multi-Lingual Bot on the Oracle Chatbot Platform

Building a Multi-Lingual Bot on the Oracle Chatbot Platform

First things first, if you are new to building Chatbot using the Oracle Cloud Platform, here are some quick videos to get you started on the platform and its capabilities. There is also an online MOOC (Massive Open Online Course) available on how to build your first BOT using the Oracle Platform and access the Bot through Facebook Channel.
Now that we understand how to build a bot let’s turn the Bot that can recognise the input from the end user conversing in his/her own language and respond accordingly.

The Bot platform allows you to bring your own translation keys (Google / Bing) and the Bot can be configured to detect the language. The bot further converts the user input to English, intent recognition by the NLP engine kicks off, based on the dialogue flow the bot structures the response in English which is again translated back into the language in which the question was asked by the user.

Let’s see that this in action :

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