3. 3
The impact of AI
We are about to the witness the next revolution
4. 4
Machine Learning is a type of artificial intelligence (AI)
which focuses on the creation of computer programs that
can teach themselves to evolve and grow when exposed to
new data
What is it?
16. 16
The amount of bank tellers have doubled
since the ATM was introduced
17. 17
• Can they share relevant information?
• Can they offer comparisons?
• Can they offer advice?
• Can they offer advice without context?
• Can they offer advice relating to our personal context?
• Can they connect with us?
Let’s put it to the test
24. 24
Rewards
… what could you do
differently if you
achieve?
…now will this make your
life better?
Tomorrow
… what are you
currently trying to
achieve?
… what are your
plans for?
Today
… tell me how you
currently do…..
… What problems
does this cause?
Examples….
Risks
… what things will get in
the way?
.. What happens if you
don’t make the
change?
Exercise 1
26. 26
Leading our clients out of the desert
Wants and needs
• I want to make more money
• I want more time
• I want to grow
• I want to save money
• I want to feel in control
Real-time
Access any where
Access any device
More accurate data
Less data input
No back ups
More secure
No software updates
Minimal IT infrastructure
Connect with other software
Get better insights
Share information easily
Collaborate
Professional invoicing
Easy to use
Exercise 2
27. 27
How do the robots deal with fear?
Fear of change
• Loss of control
• Uncertainty
• Loss of face
• Concern about competence
• Past experiences
28. 28
Novel situations, empathy,
unknown context
Value driven – customer obsessed!
Anticipate fear
Stats tell…. Stories sell
How to beat the robots at the communication game
30. Access the presentation materials via:
The QuickBooks Connect 2017 Conference App
or
Slideshare at: http://www.slideshare.com/tag/QBCUK17
Notas do Editor
Who am I ….
What about you
More than 5 years, 10 years, 15 years, 25 years
I have a prediction.
Imagine contacting an Insurance / Utility
Due to AI but more specifically Machine Learning
Not just a decision tree
Now interact with it
Human behaviour
Software is fed data,
uses algorythms and
predictions or results.
Doubles over a period of time and then doubles again… and so on.
Wembley – 1 cubic millimeter after 30 seconds and doubles every 30 seconds.
25 minutes,
after 22 minutes there is 3 feet of water.
What happened in 2007?
WHAT IS THE NEXT IPHONE
IBM billions of dollars Watson employs 10,000 people.
Last year 6 billion invested , 2020 47 billion
VR, software is getting a personality, it has a gender and we say please….
HOW ARE WE SEEING EFFECTS
Machines can be trained and then learn –
Diangosing colon cancer in seconds
No professional intervention
6 million people with the disease and no cure
Neurologist expensive (£300) and time consuming so people don’t do it.
Tremors, breathiness and weakness indicators
98% accurate.
Fokuko Mutual using Watson
analyses medical certificates, hospital stays and surgeries
30% more efficient saving 1.2 Million per year
Examining board in Australia years 3 to 9.
Analyse all content and compare to past papers and marks.
TEACHERS HAVE MORE TIME
WIDER IMPLICATIONS
Job Titles get more and more elaborate ..
we are trying to express value
Financial Insight Managers, Profit Accelerators, Growth Coach
The paradox
So let’s look at what our robot friends can and can’t do
What is the weather like in London,
What is the average temp in London.
Do I need an umbrella today, can I have a barbeque tonight,
DO THEY KNOW US
Play ,
make me laugh.
You will not beat the robots if on left.
The true difference anticipate,
understand specific Problems, Opportunities, Needs and Wants.
They forsee issues and understand personal fear.
Trusted advisors understand personal value
You will find cards on your chairs.
Mark each with Today / Tomorrow etc.
Please place one killer question on each.
Remember – Needs and Wants are driven by Problems and Opportunities
Do not miss any out. They are linked.
Put 2 wants and needs on cards and write features below
HOW ABOUT FEAR
Hey Siri.. Should I be worried about brexit…. Should I be worried about Trump..
ID or rank their reason and discuss the value to them.
Use case studies for success,
hold their hand,
someone who can support at the firm,
run 2 systems together,
focus on how the world of business is changing – BlockBusters etc, start with small changes (eg mobile app)
Remember… in 5 years time, we will not be able to tell the difference
Knowledge is no longer power –
Fastest growing firm in Top 100 (72nd) employs 50 software developers
Why did you start your firm – why are you hear… to help your clients succeed.
FINAL thought – find your bicycle.