I am pleased to report that I have just passed another Microsoft course, this time from the Microsoft Professional Program for Artificial Intelligence:
Introduction to Artificial Intelligence, with a final mark of 100%.
This was a fascinating course, providing a very good introduction to machine learning, text analysis, computer vision (including face recognition and video analysis) and conversation as a platform (chatbots and Natural Language Processing [NLP]).
One example of how #AI can make it easier for your staff, customers or suppliers to interact with your software tools is to add a combined”Next Step / Tell me what you want to do” facility.
This uses natural language processing (NLP) combined with knowledge of who the user is (and what their role is, e.g. whether they are a member of staff, a customer, or a supplier, or a user with admin rights for example) and the context (which page or part of the app they are on, and what data they have stored in the system), to add two powerful new ways for the user to interact (with minimal training) with the app:
What’s my next step?
On any page, simply clicking the Go button asks the system “What’s my next step?”. The system then look intelligently at the user’s identity, role, data and location within the app and makes one or more suggestions as to what the user could usefully do next to make the most of the app.
Here are a couple of examples, taken from InQA’s WebPocketMoney application (referred to in this previous post).
AI built in to the heart of user interfaces
Within a few short years, some companies and organisations will have adopted Artificial Intelligence (AI) in at least one part of their work: interfacing with their customers. (I’m using customers in the widest sense of the word: it could be students in education, or patients in healthcare for example).
Imagine the following:
- Instead of having to log in to a website or an application, the application simply recognises the user’s face or voice
- Instead of having to click on a menu to navigate the app, the user can just talk to it, either by speaking or using a chatbot type interface.
- Instead of calling customer service (and being told “you are currently number two in a queue” or “Our business hours are 0900 to 1700 Monday to Friday, please call back during those times” ), they can get an immediate response (24 hours a day, 365 days a year) from a chatbot.
If customers have a choice between interacting with one organisation in that way, or another in the more traditional way, I think they will vote with their feet.
It’s a straightforward matter of economics
(Post by Patrick Lee, 28 August 2018).
Further to my previous article on the EU and cookies, here is a link to a short video “The EU website has no cookies notice”.
This can be viewed as a curiosity if the EU updates its website to include cookie notices, so that it is in line with what many (most) businesses have felt they have had to do. And some – but by no means all – country data protection regulators.
So, what ARE the country data protection regulators doing about cookies?
https://en.wikipedia.org/wiki/National_data_protection_authority has a list of data protection regulators.
This is by no means an exhaustive survey, but from the ones that I have looked at so far:
Regulators with cookie notices on their sites
I am delighted to have received a President’s Award for input on data science from outgoing Institute and Faculty of Actuaries President Marjorie Ngwenya, FIA at yesterday’s AGM at Staple Inn in London.
The IFoA is a tremendously vibrant organisation and I believe IFoA and other actuaries have an important role to play in helping businesses and organisations make the most from the torrents of data becoming available, whilst also helping protect consumers from unethical use of such data. In particular, I am very pleased that the IFoA is collaborating with the Royal Statistical Society in the vital area of the ethical use of data in data science. (For example a joint event was held earlier this month on the Industrialisation and Professionalisation of Data Science)