The AI Powered Organization-Intro to AI-LAN.pdf

Materi ttg artificial intelligence

1. The AI Powered
Organization
Unleashing the Power of AI: A Strategic Approach for
Maximum Impact
Panji Wasmana
Microsoft Indonesia

3. The world
is changing
Industries are transforming rapidly
The drivers for economic growth are evolving
Technology is at an inflection point

4. AI is shifting business today
Every
team
Every
individual
Every
industry

5. For every $1 a company invests in AI,
it is realizing an average return of
Average time it takes for organizations to
realize a return on their AI investment$3.5
14months
Source: IDC, The Business Opportunity of AI November 2023

6. Global GDP and technological revolutions
Real GDP in trillions of 2011 GK$, logarithmic scale
GDP growth multiplier
per century
0.4x 1x 1x 2x 4x 20x
Source: Maddison Project, Ourworldindata
Technology drives GDP growth, and the pace of change is accelerating
100
10
1
0
1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 Today
Printing press
Mass steel production
Internet
Cloud
Electrification
PCs
Smartphone
Steam engines
Mass production and assembly lines
Transistors
Flight
Synthetic fertilizer
Internal combustion engine
+AI
Telegraph

7. Southeast Asia's GDP
Source: Kearney analysis
$1 T
AI is expected to contribute
up to$1 trillion to Southeast Asia's GDP by 2030
Indonesia has a
potential of 366
billion out of 1 trillion
“

8. AI Trends in Government
New ways of
engaging with
employees
and people
Generative AI
Explainable AI
Sustainable AI
Leverage AI
driven data
Insights
in the Cloud
Smart Business
Innovation and
Automation
Optimize
employee time
and skills
Essential part
of Process
Improvement
and Business
Decision Making
Security & Trust
8

9. Villagers in
India access
government
services easily
with an AI chatbot
Lea rn more
Learn more
We saw this Jugalbandi as a kind of ‘chatbot plus plus’ because it’s like a
personalized agent. It understands your exact problem in your language and
then tries to deliver the right information reliably and cheaply, even if that
exists in some other language in a database somewhere.”
– Abhigyan Raman
Project Officer
AI4Bharat, open-source language AI center
9

11. Artificial intelligence (AI) is a mystery and a wonder.
It can help us solve humanity’s most difficult
problems. AI is also vastly misunderstood by most
people.
For some, AI is a magical black box with the intelligence of a PhD.
It knows all about everything, you just bring your problems
and,voilá, your problems are solved.
For others, fears of AI uprisings, loss of human control and
Terminator-like scenarios cloud their capability to understand the
present utility of cognitive computing.

12. Any system capable of simulating human
intelligence and thought processes is said to have
“Artificial Intelligence” (AI).
AI involves self-learning systems that use data
mining, pattern recognitionand natural
language processing tomimic the way the
human brain works…more-informed decision-
making.
Image generated using Microsoft Designer
powered by DALL-E

13. AI evolving and getting stronger to address business need
Artificial Intelligence
Machine Learning
Deep Learning
1956
Artificial Intelligence
the field of computer science that seeks to create
intelligent machines that can replicate or exceed
human intelligence
1997
Machine Learning
subset of AI that enables machines to learn from
existing data and improve upon that data to make
decisions or predictions
2017
Deep Learning
a machine learning technique in which layers of
neural networks are used to process data and
make decisions
2021
Generative AI
Create new written, visual, and auditory content
given prompts or existing data.
Generative AI

14. Generative AI represents a once-in-a-
generation opportunity to enhance how
companies navigate the ever-evolving
world of exponential risk.
— Rob Fauber
President and chief executive officer
Moody’s Corporation

16. Traditional software development
Algorithm
Input
Output

17. Machine learning
Output
Input
Training data
Algorithm
(Model)
Instead of manually
creating the algorithm,
we use a lot of inputs
with corresponding
outputs that we call
training data.

18. Building models
What is a model?
Data Function
A model is a function, with its
parameters learned from data
How is it created
Machine learning is using a
variety of algorithms and
techniques to learn the right
parameters
What languages are used
Majority of ML is done in
Python and R, using
frameworks like
scikit-learn

19. What does a model do?
Regression
F(x) = mx + b
Learn m & b from the data
Classification
Dog
.78
Cat
.04
Tiger
.001
Clustering
•Segmenting customers
•Arranging articles into
categories
•Discovering similar items

20. Artificial neural networks
Input
Activation
Weights
W
11
W
21
W
31
Outputs
Output
w1
w2
w3
f1
f1
Colour
value on
pixel
Frequency
value
Millions of
text data
set
Model for Machine Learning

21. Generative AI
GPT-4
Prompt:
Write a tagline for an ice
cream shop.
Response:
We serve up smiles with
every scoop!
Codex
Prompt:
Table customers, columns =
[CustomerId, FirstName,
LastName, Company, Address,
City, State, Country,
PostalCode]
Create a SQL query for all
customers in Texas named
Jane
query =
Response:
SELECT *
FROM customers
WHERE State = 'TX' AND
FirstName = 'Jane'
DALL·E
Prompt: A white Siamese cat
Response:
ChatGPT
What is the fastest animal on land?
the cheetah (Acinonyx jubatus),
which can reach speeds of up to 60
miles (97 kilometers) per hour.
What makes them so fast?
Cheetahs are built for speed and
have several adaptations that make
them the fastest land animal: lean
body, long legs, flexible spine,
large nostrils and claws that don’t
retract.

22. Bing Image Creator is
a powerful AI-
powered tool that lets
you generate unique
images from simple
text descriptions.
2023

23. OpenAI's SORA is a
groundbreaking AI
model that can
generate realistic
videos directly from
text descriptions.
2024

24. Breakthroughs
Enabling
AI
Cloud
Computing
Big Data
Powerful
Algorithms

25. AI transformation opportunities
Enrich employee
experiences
Reinvent customer
engagement
Reshape business
processes
Bend the curve
on innovation

27. enhance inclusive
information
accessibility for all
customers, PT KAI
(Persero) has launched
a virtual assistant in
the form of a
generative artificial
intelligence (AI) avatar
chatbot displayed on
vertical TV screens.

29. Microsoft Copilot

30. Microsoft Copilot
Your everyday AI companion
Enterprise-grade security,
privacy, compliance &
responsible AI
You are always in control
of the output
Your universe of data
at work and the web
30

31. Microsoft Copilot is already transforming work
75%
spent less time searching for
information
71%
saved time on mundane
tasks
3.5x
faster at catching up on
missed meetings
1.2
hours saved on average
per week
Source: Microsoft Work Trend Index
31

33. Copilot for Microsoft 365
Microsoft Graph
- Your Data -
Large Language
Models
Microsoft 365
Apps
Natural Language
The
Internet

35. Microsoft Copilot
Sales
Software developers
Knowledge workersData & IT pros
Security operations
Customer service

36. Microsoft Copilot (a.k.a) Bing Chat Enterprise

38. Copilot writes, edits, summarizes,
& creates right alongside you.
Some example prompts you can ask Copilot:
•Draft a two-page project proposal based
on the data from [document] and
[spreadsheet].
•Make the third paragraph more concise.
Change the tone of the document to be
more casual.
•Create a one-page draft based on this
rough outline.
Copilot in Word

40. Copilot helps you turn your ideas
into stunning presentations.
Some example prompts you can ask Copilot:
•Create a five-slide presentation based
on a Word document, include relevant
stock photos.
•Consolidate this presentation into
a three-slide summary.
•Reformat these three bullets into
three columns, each with a picture.
Copilot in PowerPoint

41. Build your own AI capability
Your apps Your data

42. Natural language Reasoning engine

43. Copilot Studio
Create and orchestrate
sophisticated logic
IT manageability
& control
Connect to data
Introducing

46. For faster, better
coding
Your ‘coding copilot’
Your AI-pair programmer assistant

47. 46%
of new code is now
written by AI
96%
of developers are faster
with repetitive tasks
75%
of developers feel more
focused on satisfyingwork

49. For Data and
Analytics Workers
Your ‘Data and Insight Copilot’
Your AI-pair data analyst, data
engineer, and data scientist

51. Key use cases for generative AI in Government
Content creation
& design
Accelerated
automation
Personalized
marketing
Chatbots and
virtual assistants
Product & service
innovation
Language
translation &
processing
Fraud
detection
Predictive
analytics &
forecasting
Creative writing
& content
generation
Medical research
& diagnosis
51

52. Five core pillars of AI readiness
Business
Strategy
Technology
Strategy
AI Strategy
Experience
Organization &
Culture
AI
Governance
https://aka.ms/AI-Success-Whitepaper

53. AI safety is
crucial to ensure
successful AI
Implementation
Principles
Fairness • Privacy & security • Transparency
Reliability & safety • Inclusiveness • Accountability
Corporate standard
Goals • Requirements • Practices
Implementation
Training • Tools • Testing
Oversight
Monitoring • Reporting • Auditing • Compliance

54. AI Regulation
Landscape in
Indonesia
KOMINFO has issued Minister of Communication and
Information Circular Letter Number 9 of 2023 concerning
the Ethics of Artificial Intelligence.
Soft Touch approach due to complexity of AI
implementation
Other Industry regulator think about establishing guideline
for AI implementation corncerning about ethic and data
protection.

55. Generative AI will reinvent every industry.

56. Additional Topic:
A day in a life of a modern CFO
The Microsoft Modern Finance Journey
Krishna Worotikan
Microsoft Indonesia

57. © Copyright Microsoft Corporation. All rights reserved.
Modern Finance Transformation Journey in Microsoft

58. Microsoft
Finance is on
a journey to
empower
our people to
achieve more
Finance Employees Microsoft Revenue
+30%
headcount
2009201020112012201320142015201620172018201920202021202220072008
Modern Finance culture
Standard reports and KPIsSelf-serve analytics
Business Intelligence
PredictionsRecommendationsAutomation Generative AI
Artificial intelligence
Data lake Cloud migration
Unified data platform
Process standardization
+217%
revenue

59. Action
Recommendations
What should I do?
Predictions
What will happen?
Automation
Is it repeatable?
Automatic Processes
Static reports
What happened?
DecisionsManual Processes
Interactive dashboards
Why did it happen?
Advanced
Analytics
/ A.I.
Business
Intelligence
Fast, relevant processes add value to the business
Data
Modern Finance execution model
Modern Finance execution model
© Copyright Microsoft Corporation. All rights reserved.

60. Organization-wide,
mission critical
initiatives
Simple
business
solutions
Personal
and team
productivity
Complex
processes and
data structure
Level of complexity
CENTRAL
IT, Corp, Stakeholder Collaboration
LOCAL
Citizen Developer Model
Impact to Stakeholders
Modern Finance execution model
© Copyright Microsoft Corporation. All rights reserved.

61. Reporting
Platform Enabling Business Performance Management
Modern
Technology
Cross-business
Insights
Agile &
Responsive
45k+
active monthly
users
>150
conformed data
sources
>3000
high-fidelity KPIs
1500+
connected
reports
Sales
Marketing
Finance
Robust, shared, scalable modern data platform
One Source of Truth
Azure
Synapse
Azure
Data
Factory
Azure
Data
Lake
Azure
SQL
Power
BI

62. © Copyright Microsoft Corporation. All rights reserved.
Past revenue forecasting process
D E E P E R D I V E : M I C R O S O F T M A C H I N E L E A R N I N G R E V E N U E F O R E C A S T I N G
1000+ analysts build Excel
forecast models 2 weeks prior
to quarter end
Management reviews Global & executive reviews
Over 1-2 weeks, product
and sales leads use their
expertise to judge up/down
the forecasts
Local & product forecasts
CFO and HQ finance teams
push product and sales
teams to land balanced,
closest-to-the-pin forecasts
Product
teams
Sales
teams
Product
teams leads
Sales
teams leads
CFO & HQ
finance teams

63. Reporters of
what happened
Influencers of
future actions
Partners for
strategic growth
Sharers of
business insights
Tend to reward for business partner happiness
Need to reward data governance, consistency, standardization
Need to reward understanding of entire business process and the
ability to explain the predictions; solve for company ROI
Need to reward the leaders who support next best actions
regardless of organizational model or individual business roles
Advanced
Analytics / A.I.
Business
Intelligence
Recommendations
What should I do?
Predictions
What will happen?
Static reports
What happened?
Interactive dashboards
Why did it happen?
But the journey requires culture change
© Copyright Microsoft Corporation. All rights reserved.

64. Empowering finance employees
Deep analytical and strategic thinking
Operational thinking
Transactional expertise
Task management
Basic business understanding
Influencing and negotiating
Diverse project management
Advanced business knowledge
SkillsetBefore After
Time spent
on various
activities in
Finance
© Copyright Microsoft Corporation. All rights reserved.

65. Where we are starting with generative AI
•Draft monthly financial close review deck and write analytical comments
and insights
•Produce market sentiment analysis using transcripts from corporate
earnings calls and central banking authorities
•Write contractual language based on simple notes
•Draft collection call follow up emailsin different languages with
payment plans details
•Write initial internal audit reports and investor relations earnings call scripts
•Summarize earnings scripts to identify significant trends and highlights
•Recap meeting transcripts to capture key points and assign actions
•Distill collection agents’ call notes into actionable plans
•Flag important terms from customer contracts related to payments, pricing, and
discounts
•Synthesize complex workflow documents to highlight handoffs and
commonalities
•Accelerate financing requests by automating credit checks and policy reviews
•Review sourcing contracts to ensure compliance and reduce human error
•Automate Sarbanes-Oxley Act (SOX) operational controls and
summarize insights
•Prioritize collection emails, tag disputes, and identify resolution owners
•Streamline tax and customs procedures by identifying compliance obligations
from different global jurisdictions
•Analyze financial close variances and recommend areas of the business to
investigate variance drivers
•Define collection strategy based on customer payment history
•Evaluate audit workpapers and resolution disputes against audit controls
•Guide users in setting up purchase orders, invoices, expenses, and payments
•Recommend policy adherence within workflows
Summarize information
Generate content
Recommend actions
Simplify tasks

66. © Copyright Microsoft Corporation. All rights reserved.
Get the
processes right
Continuous
learning
Build required
data foundation
Focused AI
integration
Embrace agility and
constant change
Return to drawing board
Stop low-value work
Reimagine ideal workflows
Assemble rich training data
Assess data estate
Establish governance
Build AI center of excellence
Train non-technical personnel
Foster collaboration
Improve employee experience
Boost efficiency
Mitigate risk
Foster growth mindset
Fall fast
Iterate rapidly
Getting started
AI in finance
CultureData estateProcessesBusiness strategy and priorities•••

67. Streamline financial decisions
79% of people
are comfortable using AI
for analytical work
Microsoft WorkLab Work Trend Index, May 2023

68. Complete an acquisition with Microsoft 365 Copilot
From forecasting to financial
reporting to drafting
stakeholder communications,
Copilot works alongside
finance teams, so their time is
spent on the high-value tasks
that make the biggest impact.​
79% of people
are comfortable using AI
for analytical work
Microsoft WorkLab Work Trend Index, May 2023
Z ip Co log o S V G free downloa d, id: 101874 -
Bra ndlog os. net
Microsoft 365 Chat Summarize the due diligence information from the operations and legal team.
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Copilot in Excel
Discover the organization’s past financial information and verify revenue
projections.
M icrosoft Tea ms Log o, sy mbol, mea ning , history ,
PNG
Copilot in Teams
Meet with the legal team and business development to decide how to
structure the deal and get a list of the required legal notifications.
M icrosoft Word Log o - PNG a nd V ector - Log o
Downloa d
Copilot in Word
Add a section to the offer sheet discussing some conditions for the deal based
on the meeting transcript.
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Copilot in Excel
Refine the deal analysis based on the customer negotiations and changes in
the economic environment.
M icrosoft PowerPoint Log o - PNG a nd V ector - Log o
Downloa d
Copilot in PowerPointCreate a presentation summarizing the deal for the leadership team.
Copilot Product Documentation Microsoft 365 Copilot Adoption Site How to use Copilot

69. Complete an acquisition with Microsoft 365 Copilot
Summarize due diligence reports
From the Teams apps prompt Copilot in Microsoft
365 Chat
Z ip Co log o S V G free downloa d, id: 101874 -
Bra ndlog os. net
Summarize the information in Fabrikam
financial data, Fabrikam operations analysis,
Fabrikam integration plan.
Analyze financial data
Using a table to
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Show data insights.
Meet with legal
In the recap tab for the meeting
List all of the legal notifications required for the
offer sheet.
Create an executive presentation
From a new presentation
M icrosoft PowerPoint Log o - PNG a nd V ector - Log o
Downloa d
Create presentation from [Word document link
to Deal Summary.docx] Be sure to include a
summary slide, a conditions slide, and a
financials slide
Refine Deal analysis
From the table in Excel prompt
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Add a column to reduce the projected revenue
by 3%
Update offer sheet
From a new line select Draft with Copilot
A picture conta ining g ra phics, log o, sy mbol, electric blue
Description a utoma tica lly g enera ted
Add a new section on the conditions for the
deal based on Legal team meeting
transcript.docx

70. A day in the life of a Financial Analyst
8:00 AM
Hillary begins her day in Excel looking atthe
latest COGS estimates for a newproduct. She
uses Copilot to filter thedata to get the view
she wants.
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Copilot in Excel
Sort the databy product feature and then filter
outthe Priority 2 features.
9:30 AM
She later meets with her manager and ITto
discuss reportingrequirementsupdates from
the sales organization. Sheasks Copilot to
summarize therequirements.
M icrosoft Tea ms Log o, sy mbol, mea ning , history ,
PNG
Copilot in Teams
Summarize the meeting and be sure to list all he
reporting requirements that were mentioned.
10:00 AM
Hillary finally gets to her main project for the
day and reviews the due diligence information
on a potential acquisition target. She asks
Copilot to create a summary.
Z ip Co log o S V G free downloa d, id: 101874 -
Bra ndlog os. net
M365 Chat
Summarize the information in Fabrikam financial
data, Fabrikam operations analysis, Fabrikam
integration plan.
11:00 AM
After creating an overview of theacquisition
in Word, she asks Copilot toturn the
document into a presentation forthe business
development team.
M icrosoft PowerPoint Log o - PNG a nd V ector - Log o
Downloa d
Copilot in PowerPoint
Create a presentation from [Word document link to
Fabrikam acquisition overview.docx]
2:00 PM
Hillary needs to catch upon a chat she started
in the morning.She asks Copilot to
summarize the thread.
M icrosoft Tea ms Log o, sy mbol, mea ning , history ,
PNG
Copilot in Teams
Summarize this thread calling out where my name
was mentioned and any action items for me.
4:00 PM
Hillary heads back into Excel to updatethe
acquisition numbers with the latestwhat-if
scenarios and create some charts to go into
the businessplanning presentation.
M icrosoft Excel Log o - PNG a nd V ector - Log o
Downloa d
Copilot in Excel
What is the impact of doubling the IT integration
budget on the revenue per month?
Hillary is a financial analyst at
Contoso

71. There is no better time to
reimagine Industry and how
technology can support that
transformation.”
Satya Nadella
February 2023

72. Empower every person and every organization
on the planet to achieve more