The document summarizes a presentation on successful business analysis in the era of artificial intelligence. It discusses how business analysts can leverage AI tools to assist with requirements gathering, information synthesis, complex analysis and reporting. However, it also notes that BAs provide skills that AI cannot, such as communication, negotiation, emotional intelligence, inspiration and managing people/expectations. The presentation provides an overview of ML techniques BAs should understand and stresses the importance of design thinking and understanding the technology and business context. It also cautions that AI models can reflect and even exacerbate biases if not developed with care.
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About the IIBA
Uniting a community of professionals to
create better business outcomes.
• International Institute of Business Analysis (IIBA) is an
independent non-profit professional association serving the
growing field of business analysis.
• Promote professional standards and practices at the local level.
• Defines standards for business analysis through the Business
Analysis Body of Knowledge (BABOK)
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Member Benefits
• Receive BABOK v3, Agile Extension, access to the Online
Library of 300+ books and large range/variety of IIBA Webinars
• Discounted fees for the ECBA, CCBA and CBAP certification
exams.
• Access to the Business Analysis Competency Model.
• Job search capabilities using the Career Centre and view the
Business Analyst Salary Survey results.
• Attend Member Driven events for free, including joint events,
workshops, Professional Forum, and more…
5. 5
Community Benefits
• Networking events like this one
• Direct access to our sponsors and IIBA mentoring volunteers
• Latest information on BA relevant events around town
• Potential to become a volunteer and help grow the community
• Access to member driven events at a small charge (members get
them free!)
6. 6
Opportunities
Branch is always open to interest in volunteering
• Guide the events and services we offer
• Meet decision makers across similar associations
• Meet employers, recruiters, leaders from service providers
Register your interest online via the link available on the Chapter
Website
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What's On:
• This year is the 10 Year Anniversary
• Studygroups are coming back this year – Please let us know how
to make them great for you
• Online CBAP exam Pilot.
• You tell us! – we’re always keen to get your feedback
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What's On:
• BAPD Update!
• Early Bird Tickets available Tomorrow:
• https://www.Eventbrite.com.au/e/iiba-canberra-business-analysts-
professional-day-2019-tickets-4098185748
• What’s it all about?
• Uplifting the role of BA’s and the capabilities of BA’s
• Connecting our members and other business analysts with the
organisations that need their skills most
11. Some insights..
What does being BA mean to you?
12/06/12 SUCCESSFUL BUSINESS ANALYSIS IN THE ERA OF ARTIFICIAL INTELLIGENCE 11
Are you driven by the Business Context or the Technology?
Do you feel less confident for not knowing enough about AI algorithms?
Do you feel that you know enough about workings of AI?
13. Human
Instinct
OUR INSTINCT DECIDES IF
THE RISK IS WORTH
TAKING!
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14. Human Intuition, Creativity
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Luck is just the presence of factors our System 2 fails to notice! Our System 1 (instinct) however, may pick up on them!
17. Business Analyst Strengths
(What AI Can’t Do!)
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COMMUNICATION INTERACTION &
NEGOTIATION
COMPROMISES ON
REQUIREMENTS,
RESOURCES, ETC
EMOTIONAL
INTELLIGENCE &
UNDERSTANDING
INSPIRATION,
CREATIVITY
MANAGEMENT OF
PEOPLE, RESOURCES,
EXPECTATIONS
18. What can AI do for Business Analysis?
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Requirements gathering:
Conversational AI
(https://www.modernrequireme
nts.com/blogs/meet-alice-
cognitive-assistant-business-
analysis/)
Information synthesis: automatic
summarization (Pointer
Generator Networks (DL)),
specifications, user stories
Complex Analysis: big data
processing
Reporting: Graphs, dashboards
Recommendation &
Personalisation (e.g.
collaborative or content-based
filtering)
Business process modelling =
Automated/AI planning
19. Must have
Knowledge
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Black-box level of understanding of algorithms i.e. where to
apply the technology, how it is applied, and its basic
concepts
Big Picture
how to get value from AI to solve problems previously
addressed with defined rulesVision of Automation
Understand context enough to ask the right questions from
ML teams on algorithms, feature vector, outputs and/or
models.
Context (Data &
Business)
People, licensing, specialised hardware (GPUs etc) cost vs
business outcomes
Resource/Effort
Estimation
20. Skills
1. Understanding the Tech
Teams rely on the BA to choose & help label the input (relevant, clean, unbiased,
meaningful ), output and/or reward.
Bad input data = Wrong output
Know when to apply AI: ML can find out the product isn’t doing well.. But how to find
the underlying problem?
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21. Skills
2. Design Thinking
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EMPATHY (TAKE THE
HUMANISTIC APPROACH)
COMMUNICATION HUMAN INTERACTION
(BEING AWARE OF OTHERS
NEEDS)
GATHER THICK DATA
(SUBJECTIVE DATA,
ASPIRATIONS, OPINIONS,
EXPERIENCES)
DRIVEN BY CONTEXT VS
TECHNOLOGY
22. Skills
3. Use everything at your disposal
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Relationship estimation among
variables. Forecasting
Add info to ill-posed
problems. Prevents overfitting
Behaviour training based on
cumulative reward. Complex systems
Model generation through weight
adjustment. Supervised
Deep NNs. No training data needed.
Utilizes all data
Continuous probability update with
more data. Dynamic analysis
Probability based, predictive tool.
Clearly defined decision alternatives
and their consequences
Set of algorithms put together
for specific problems
Get rid of irrelevant input variables
Memory-based. Situation similarity calc
Unsupervised grouping. When
outputs unknown
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ML Cheat sheet
https://www.dropbox.com/s/wmdguw5dfoaasuc/BecomingHumanCheatSheets.pdf?dl=0
Skills
3. Use everything at your disposal
24. Skills
3. Use everything at your disposal
ML/DL Frameworks and
Libraries
◦ Pandas
◦ Numpy
◦ Scikit-learn
◦ Matplotlib
◦ TensorFlow
◦ Keras
◦ Seaborn
◦ Pytorch & Torch
◦ AWS Deep Learning AMI
◦ Google Cloud ML Engine
12/06/12 SUCCESSFUL BUSINESS ANALYSIS IN THE ERA OF ARTIFICIAL INTELLIGENCE 26
25. AI Risks
Feeding extreme/wrong behaviours
Personalization of online content based on user preferences
◦ Shopping
◦ News
◦ Contacts
◦ Entertainment
•Are you personalising your business solutions too much?
Feeding Confirmation Bias
•Preventing beliefs from being challenged
•Bias bubbles / Information blindness
What interests public, and what’s in public’s interest are two different things. (Titus Plattner @ Medium)
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26. AI Risks
The Hype
The COMPAS recidivism algorithm –
False positive rate (people labeled “high risk” but weren’t):
• White defendants: 24%
• Black defendants: 45%
137 input variables
Blackbox algorithm
Later research found (Julia Dressel and Hany Farid, 2018):
• COMPAS no more accurate than a simple linear
equation with two input variables
• Age
• Number of offences
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27. AI Risks
Bias
Facial Recognition
3 of the biggest commercially available gender classification systems
(facial analysis) were:
◦ 99% accurate for white men
◦ 65% accurate for darker-skinned women.
Spreadsheets
◦ Used to reinforce/justify your working style or bias (top or bottom few
rows). Align it with your mind’s picture.
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28. In times of change, learners inherit the earth,
while the learned find themselves beautifully equipped to deal with a world that no longer exists.
-Eric Hoffer
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Successful Business Analysis
in the Era of Artificial
Intelligence
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Employment
Marketplace
IIBA Canberra Branch is committed to ensuring our
Members connect with
• Employers of Business Analysts
• Customers
• Recruiters and Service Providers offering Business Analysis
Services
Slide stays up while people network and find seats
at the end of the evenings presentation each of these sponsors is invited to present a prize or other wise disclose their reason for sponsorship/immediate needs from the community
DON’T READ FROM THE SLIDE, but do mention if/when a copy will be available
Current as at October 2018
Current as at October 2018
Current as at October 2018
Visual = triggers system 1-- instinct --- experience of past generation is triggered
Data triggers logical mind – system 2
Introduce System 1 and 2 before playing the video.
All the data and experience… but then system 1 kicked in .. Which = creativity
System 1 = we are goin to end up in Hudson.. Fast, creative….
Data crunching is slow
Masterpiece happens once! Due to human’s stroke of brilliance
In the moment, you cant measure the accuracy of the decision… but somewhere your instinct knows whats right… it has measured everything… you only can measure in the hindsight.
We try to predict future with the best information that we have on hand...
Specially in case of technology, we start being impressed with the technology that is the most different... and throw our best guess
for example Google Glass.
It was said to be one of the technologies that will change the world!!! but it didn't... It might still take off (although I doubt it due to the reasons I will talk about in a minute).... but it failed miserably when launched..
Why?
Apart from the health concerns... the biggest concern was the privacy of people around the wearer... people wearing these glasses were being attacked because of the privacy concerns.
I wonder.... wasn't there anyone on the Google Glass team who could raise this concern? who understood the big picture? who could challenge the blind enthusiasm with reality and psychological factors involved in the usage?
Note: The algorithm doesn't UNDERSTAND what a dog is, it just identifies it!
Understanding is where the business analyst comes into the picture!
Summarisation with Pointer Generator Networks (DL)
https://arxiv.org/abs/1704.04368
Get out of the same old repetitive tasks of requirements gathers, sitation analysis, identifying constraints, assumptions, gaps, and issues, and try to fill those gaps and solve those issues under identified constraints and assumptions… and try to look at the people, get their needs figured out… people in the business, executives, customers of the business, competition, etc.
Ideally all different types of BA work.
at the end of the evenings presentation each of these sponsors is invited to present a prize or other wise disclose their reason for sponsorship/immediate needs from the community