Brushing your teeth in the morning is about to become the most important moment of the professional day: your virtual assistant will brief you on news and events around town or the globe; it will highlight industry, market or relevant news it feels you need to know. Forget key word setting, or selecting news channels, it will find what you need to know culling thousands of sources; it will not only go over your agenda and manage messaging, it will prioritize according to what it has learned about you; in 15 minutes you will get done what even with today’s automation takes 10 times longer. The birthday flowers for your wife are arriving at work at precisely 1:30 PM in the afternoon when she returns from lunch with her friends and dinner reservations at your favorite restaurant have been confirmed for days!
So far it sounds very much like something that is nice to have and maybe even a cute novelty, so lets get busy and dig deeper. Your virtual assistant highlighted the new rates from the Federal Reserve and projected inflation for the year just in time for you to ask it to re-calculate all the numbers for your 8:30 AM management call and email them to all division managers. You will still be in the bathroom by the time your managers are receiving the new updated presentations.
The weather part of the morning briefing included the above normal winter storm currently hitting New York causing 2 hour delays in mass transit – it has already texted key people for your 8:30 AM meeting to plan ahead and confirming meeting. It is waiting for further updates on traffic to manage arrival at office and monitoring the big lunch meeting as well.
Still not impressed: the lab results from your latest visit to the doctor are in and your assistant will walk you through them step by step providing you with answers to any questions you may have based on the most up to date healthcare libraries and millions of patient instances. It will recommend steps you should take based on the evaluation and confirm these with your physician. Cholesterol high? Ask your assistant for a 5 year average and run against your demographics.
As far as your financial health is concerned, your virtual assistant will have more resources at its disposal than any broker can even hope to access. And in fact these will not be traditional static resources but rather dynamic-real time resources based on millions individuals investments, transactions and to the moment performance. And this is just the beginning on the financial side, how about checking your credit card charges and producing your corporate expense reports – done!
Retail will never be the same. Take groceries for example, your assistant will know what you need, what you like and order it for you. It will pay and arrange for pickup or delivery when it knows you will be home. It will suggest new items and manage the whole process based on your lifestyle – having a dinner party and running low on wine? Not any more. Schedule the dinner and tell your assistant who is coming, it will have your Dad’s favorite drink on hand.
And maybe the biggest overall impact could come from your virtual assistant at work. Lets say you are a journalist and want to write an article, do you want to know the highest trending subjects? Just ask. Chose your subject and begin to ask questions using natural language, your virtual assistant uses NLP (Natural Language Processing) which means it works based on natural language queries, searches very large databases and answers in plain language. Your virtual assistant will use archives going back decades for tens of thousands of sources instantly.
Work internationally and in other languages? Google has re-engineered Google Translate using artificial intelligence and now provides API integration for industrial purposes (large amounts of translations). Ease of use is improved tremendously but more important is quality – by adding AI integration Google Translate has improved more than any machine translations ever had and now improves with every use. Excel, the financial spreadsheet we all know which up until now most of us use 2% of capabilities is now natural language processing driven. Want to see cost of good sold adjusted for different estimated growth and adjusted for inflation across 1,500 products and 10 divisions? Just ask.