Even in a day and age where event-based and real-time data exchange is prevalent and growing, the truth is there are still massive amounts of data exchanged using file transfer mechanisms. Oracle has always played in this realm, but with limited success. The Oracle Managed File Transfer (MFT) application is pretty good, but nothing to write home about… or write a blog about! 😀
One reason is because moving files around and using FTP servers is not very glamorous. Another reason is because the Oracle MFT management dashboard is pretty limited. It is able to monitor various aspects of a file transfer, report success or failure and allow you to resend files. But it has no business context or the ability to understand how a file might be part of a larger business process.
Hope you have heard about the Oracle’s Self Driving Autonomous Database. Autonomous Database is an autonomous data management software in the cloud to deliver automated patching, upgrades, and tuning — including performing all routine database maintenance tasks while the system is running — without human intervention. This new autonomous database is self-driving, self-securing, and self-repairing, which helps to eliminate manual database management and human errors. Also, there is also a secret weapon called Machine Learning in a Box built into the Oracle Autonomous Database Platform. Here is a quick lab guide to get you started on how to use the Oracle Autonomous Database Platform.
In this article, I would like to walk you through a practical example of how we can take advantage of the Machine Learning capability in the Oracle Autonomous Database Platform and make decisions instantly.
Here is a background of our Fictitious company: Vision Housing Finance Corp that deals in home loans. They have a presence across all urban, semi-urban and rural areas. Customer first applies for a home loan after that company validates the customer eligibility for a loan.
VisionCorp wants to automate the loan eligibility process (real-time) based on customer detail provided while filling the online application form. These details are Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and others. So they would like to understand if they can take their existing data sets and apply some machine learning to automate the loan decision-making process. You can download the historical dataset that this company has provided from here.
As we roll out the Oracle Digital Assitant workshop across Australia and New Zeland over the course of the next few weeks, below are the instructions for the participants interested to try out the platform and build a Digital Assistant.
If you have registered for the event, you would get an email to set up the password for your Oracle cloud account on the day of the workshop.
Once you set up the password access Digital Assistant UI to start building your first Digital Assistant.
Download the hands-on lab material from here that has detailed instructions on how to design and deploy a Digital Assistant.
Here are some interesting links that can compliment your learning process of the Oracle Digital Assitant or if you would like to re-visit them later.
Oracle Digital Assistant Channel: This playlist is dedicated to covering all the major features of Oracle Digital Assitant. You can watch in sequence for an end-to-end insight into Oracle Intelligent Bots, or dip into any video to learn about that features.
Additional Blogs that might help you in your Oracle Digital Assistant learning journey
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
In earlier articles, I discussed Autonomous Digital Assistant, provisioning 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.