Materi ini saya sampaikan di Block71 Bandung pada acara UXID Public Discussion dengan tema Artificial Intelligence in Our Everyday Life yang diselenggarakan pada 18 Januari 2019.
2. IBM Deep Blue defeat Garry Kasparov
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SCI-FI & REALITY
1996
2002
01 Robotic smart dog beat his master in
game of chess
K9 in ‘Doctor Who (1977)’
02She is a robot and the maid and
housekeeper of the Jetson family
Rosie in ‘The Jetson (1962)’
AlphaGo beaten a 9-dan professional without
handicap (2016)
Moley – The world's first robotic kitchen (2019)
iRobota Roomba - First Vacuum Robota
3. 03 I used personal data to individually
target advertising
Personal Ads in ‘Minority
Report (2002)’
2013
04Depicts a future where AI has suppress
human intelligence (AI & Humans live in
harmony)
‘The Culture (1987)’
2017
05 AI monitors surveillance camera.
Predict victims and perpetrators
Future Crime in ‘Person of
Interest (2011)’
2018
Tesco’s Petrol Advertising (Scan face to
determine gender and age).
Lookalike Audience features of Facebook.
European Parliament
- Considered granting personhood to self-learning robot
- Proposed robots be held liable for actions and individually
insured
06Self-aware AI weapon programA
Skynet in ‘The Terminator
(1984)’2019
3
(UK) National Data Analytics Solution
AI analyze police records and flags those likely
to commit crime
ATLAS (Advance Targeting and Lethality
Automated System) by the US Army
6. Automation of digital and physical
tasks -typically back-office
administrative and financial activities-
using robotic process automation
technologies
Algorithms to detect patterns in vast
volumes of data and interpret their
meaning -think of it as “analytics on
steroids”-
Engage employees and customers
using natural language processing
chatbots, intelligent agents, and
machine learning
Process Automation Cognitive Insight Cognitive Engagement
6
AI FOR BUSINESS NEEDS
*Artificial Intelligence for the Real World by Thomas H. Davenport and Rajeev Ronanki (Harvard Business Review)
7. 7
PROCESS AUTOMATION
● Transferring data from email and call center
systems into systems of record—for example,
updating customer files with address changes
or service additions;
● Replacing lost credit or ATM cards, reaching
into multiple systems to update records and
handle customer communications;
● Reconciling failures to charge for services
across billing systems by extracting
information from multiple document types;
● “Reading” legal and contractual documents to
extract provisions using natural language
processing.
8. 8
COGNITIVE INSIGHT
● Predict what a particular customer is likely to
buy;
● Identify credit fraud in real time and detect
insurance claims fraud;
● Analyze warranty data to identify safety or
quality problems in automobiles and other
manufactured products;
● Automate personalized targeting of digital ads;
● Provide insurers with more-accurate and
detailed actuarial modeling.
9. 9
COGNITIVE ENGAGEMENT
● Intelligent agents that offer 24/7 customer
service addressing a broad and growing array
of issues from password requests to technical
support questions;
● Internal sites for answering employee
questions on topics including IT, employee
benefits, and HR policy;
● Product and service recommendation systems
for retailers that increase personalization,
engagement, and sales—typically including
rich language or images;
● Health treatment recommendation systems
that help providers create customized care
plans that take into account individual patients
health status and previous treatments.