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AI Strategy and Investments
2x
5x
50%
Artificial Intelligence Index Report 2022, Stanford University HAC 2022
S Leadership IT Investment Survey 2022 (CSS Insights); McKinsey; EY March Report
The state of AI in 2022--and a half decade in review | McKinsey
Top 3 common adopted AI use cases and benefits
1Intelligent document automation
250K
Man-hours of manual work
saving
Automate processes and improve
operational efficiency
2 Sales and Demand Forecasting /
Inventory Management
3x
Faster to get a model into a
production environment
Accelerate time-to-market
3Hyper-personalization for up-sell
and cross-sell
$10M
Annual saving with AI
chatbots
Build digital trust and improve user
experiences
Data and AI
Business
applications
Modern work
Security Digital and app
innovation
Infrastructure
Microsoft
Cloud
Enabling customers to Do More with Less
Research &
Technology
Expand AI accessibility and
improve productivity
Strategic
Partnerships
Accelerate production and
innovation
Responsible AI
Practices
Build digital trust and
improve user experience
Research & Technology
Turing
Rich language understanding
Z-Code
100 languages translation
Florence
Breakthrough visual recognition
OpenAI
GPT-3/GPT-4
Human-like language generation
DALL-E
Realistic image generation
Codex
Advanced code generation
Azure AI
services
Vision
Speech
Language
Decision
OpenAI Service
Cognitive Search
Form Recognizer
Immersive Reader
Bot Service
Video Analyzer
Better search and Q&A
Better customer
engagement and support
Better matching and
content moderation
Better email management
and meeting preparation
Better knowledge
management
Better meeting
management
Better reading and
writing assistance
Better content
moderation
ChatGPT
Conversation generation
Azure AI in Microsoft Cloud solutions
Azure OpenAI Service
Azure OpenAI Service
Azure Machine Learning
Azure Machine Learning
Azure AI services
Azure AI services
Azure AI services
Azure AI services
Azure AI services
Azure AI services
Azure AI services
Azure AI services
5 ways Azure AI increases Digital Accessibility
These use cases and apps all use Azure AI technology to add accessibility with a simple API call
Live Captions Content Reading Translation Voice input Describe images
Hearing disability
Neurodivergent
Neurodivergent
Vision disability
Non-native speakers Mobility disability
Neurodivergent
Vision disability
Strategic Partnerships
Three engagement models for go-to-market
Sell Together
Drive joint selling through
Microsoft and partners
1,000s of partners
driving co-sell of AI Solutions
Build Together
Create a vast ecosystem of
partner experts
1,500 Co-sell customer
ready Azure AI solutions
Go-to-Market Together
Create end-to-end strategic
partnerships on AI
50+ strategic
AI partnerships
Ensure that artificial
general intelligence (AGI)
benefits humanity
Empower every person and
organization on the planet
to achieve more
GPT-3.5 and GPT-4
Text
ChatGPT
Conversation
Codex
Code
DALL·E 2
Images
Responsible AI Practices
Our Responsible AI journey
Aether
Committee
2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0
Satya Nadella pens an article
introducing concepts of
responsible AI
Established our AI
principles through
‘The Future
Computed’
Call for
regulation
of facial
recognition
Facial
recognition
principles
published
Responsible AI
Standard
(external)
Responsible AI
Dashboard
Responsible AI
Champs begins
Office of
Responsible AI
Responsible AI
Standard V1
(internal)
Responsible AI
Standard V2
(internal)
Responsible AI
Strategy in
Engineering
(RAISE)
2 0 2 1 2 0 2 2
The Anatomy of the Responsible AI Standard
Principles
Goals
Requirements
Tools and Practices
Pioneering new engineering practices
Responsible AI dashboard Azure AI Content Safety
Azure AI
Azure AI services
Bot Service Cognitive Search Form Recognizer Video Indexer Metrics Advisor Immersive Reader
Vision Speech Language Decision
ML Platform
Azure OpenAI Service
Azure Machine Learning
Build and train your
own models
Ground Azure
OpenAI Service and
OSS models using
your data
Built-in vector
indexing
Retrieval
augmented
generation made
easy
Create prompt
flows
AI safety
built-in
Azure AI services
Azure AI services
Document Intelligence Cognitive Search Bot Service Video Indexer Metrics Advisor Immersive Reader
Vision Speech Language Decision
ML Platform
Azure OpenAI Service
Azure Machine Learning
Customizable
pretrained models
Built with breakthrough AI
research
Deploy anywhere
Cross-cloud and edge
support with containers
No ML expertise
required
Get started quickly regardless
of experience level
Responsible AI in
action
Develop responsibly and
empower responsible use
Azure OpenAI Service
Top capabilities
Content generation Summarization Code generation Semantic search
Customer use cases
Azure OpenAI Service
GPT-3 Codex
DALL·E (preview) ChatGPT (preview)
GPT-4 (preview)
Generative AI
Prompt:
Can you summarize this
personal finance article in 2-
sentences for my tax-filing
customers:
https://www.fidelity.com/learning-
center/personal-finance/tax-pitfalls
Response:
Tax pitfalls can be costly, so it's
important to be aware of them. Some
common tax pitfalls include failing to
file or pay taxes on time, not reporting
all income, claiming too many
deductions, and not keeping accurate
records.
Fidelity offers a list of common tax
pitfalls that individuals should be
aware of in order to avoid costly
mistakes.
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'
Prompt:
a ball of fire with vibrant colors to
show the speed of innovation at our
media and entertainment company
Response:
GPT-3/4 Codex DALL·E ChatGPT
Prompt:
I’m having trouble getting my Xbox to
turn on.
Response:
There are a few things you can try to
troubleshoot this issue, First, …. Next,
check the power cord …
Prompt:
Thanks! That worked. What games do
you recommend for my 14-year-old?
Response:
Here are a few games that you might
consider:
(bulleted list) …
GPT-3 Codex DALL·E ChatGPT GPT-4
Azure OpenAI Service on your data
Microsoft
365 Copilot
Dynamics
365 Copilot
Copilot in
Power
Platform
GitHub
Copilot
Learn more Learn more Learn more Learn more
Microsoft
Security
Copilot
Learn more
GitHub Copilot
Your AI pair programmer
Power BI
Generating DAX
expressions with
natural language
Business Chat
using
Microsoft 365 Copilot
Videos
Extract actionable insights from your videos
Monitoring
Proactively monitor metrics and diagnose
issues
Conversations
Extract actionable insights from your videos
Documents
Turn documents into usable data at a
fraction of the time and cost
Search
Bring AI-powered cloud search to your
mobile and web apps.
Accessibility
Help users read and comprehend text
Vision Speech Language Decision
NEW
Vision
Speech
Language
Decision
Extract robust insights from images and video content
Speech-recognition word-error rates
Human-level
Microsoft
Switchboard
cellular
Meeting
speech
IBM, Switchboard
Switchboard
Broadcast
speech
Vision
Speech
Language
Decision
Speech recognition human parity
What does she say?
A. “haha, that’s about all ours is.”
B. “uhhuh that’s about the horses.”
C. “uhhuh that’s about how old ours is.”
Sources: Microsoft: research papers
Vision
Speech
Language
Decision
General Language Understanding Evaluation (GLUE) Tasks:
The Corpus of Linguistic Acceptability
The Stanford Sentiment Treebank
Microsoft Research Paraphrase Corpus
Semantic Textual Similarity Benchmark
Quora Question Pairs
MultiNLI Matched
MultiNLI Mismatched
Question NLI
Recognizing Textual Entailment
Winograd NLI
Diagnostics Main
Who is “they”?
The city council refused the demonstrators
a permit because they advocated
feared violence.
The city council.
A.
B. The demonstrators.
Vision
Speech
Language
Decision
Azure AI Content Safety Service
Detect and assign severity
scores to unsafe content
Works on human/AI
generated content
Integrated across
Azure AI
Available in Preview
Azure Machine Learning
Azure AI services
Bot Service Cognitive Search Form Recognizer Video Indexer Metrics Advisor Immersive Reader
Vision Speech Language Decision
ML Platform
Azure OpenAI Service
Azure Machine Learning
Build, deploy, and manage custom ML models
~2min
Time it takes for Nestle to process
threat detections using MLOps
and handle them faster
96%
Rate of accuracy SAS can predict
fraud using Automated ML,
improving sales forecasting
1.3M
Number of calls AGI inferences
using MLOps, increasing speed-
to-value
BUSINESS
NEED
Managing
Prototyping Training Operationalizing
Accelerate the end-to-end machine learning lifecycle
Accelerate time-to-value
with rapid model
development
Collaborate and
streamline the
management of models
Build enterprise-grade
ML solutions on a secure,
hybrid, and compliant
platform
Infuse responsible AI
throughout the
development lifecycle
Native OSS
Model
Catalog
Responsible AI
Azure AI Content
Safety
Prompt
Eng/Eval
Prompt flow
High Scale Gen AI
App Deployment
Gen AI Model
Monitoring
Azure Machine Learning
prompt flow
Customer Benefits
• Create AI workflows that connect to various
language models and data sources.
• One platform to build, tune, evaluate,
deploy, and test AI workflow.
• Evaluate the quality of AI workflows with rich
set of pre-built metrics.
• Easy prompt tuning, comparison, tracking.
Azure Machine Learning
foundation models
Customer Benefits
• Access to thousands of open-source models
from Hugging Face and Azure OpenAI
Service models in a unified model catalog.
• Out-of-the-box support for model fine-
tuning and evaluation.
• Easy deployment to managed endpoints.
AutoML for Tabular Data
Classification
Regression
Time Series Forecasting
AutoML for Images
Image Classification
Image Classification Multi-Label
Object Detection
Image Segmentation
AutoML for NLP
Text Classification
Text Classification Multi-Label
Text NER (Named-Entity Recognition)
AutoML Code Generation
What is the Azure Machine Learning Designer?
Designer is a UX that enables you to build machine learning
pipelines with drag-n-drop experiences that simplify the
deployment of your pipelines.
Key advantages
Connect to your own data with ease
Hundreds of pre-build components help you build and train
models without writing code
Automate model validation, evaluation and interpretation in
your pipeline
Deploy models and publish endpoints with a few clicks
Compatible with Jupyter
Fully compatible with Jupyter notebooks
Improved Notebook editor
Monaco editor, IntelliSense and Gather
Git Integration and Terminal
Collaborate with Git and use the terminal
Azure Machine Learning integration
One-click access to all AzureML assets
VSCode Integration
Transition to full fledged editor
Screenshot of Feature
Responsible Governance
Transparency
Accountability
Responsible Development
Fairness
Explainability
Responsible Usage
Tools
Model reproducibility Model validation Model deployment Model retraining
App developer
using Azure DevOps
Data scientist using
Azure Machine Learning
Collaborate Build app Test app Release app Monitor app
Train model Validate model Deploy model Monitor model
Retrain model
Azure Machine Learning + Azure DevOps + GitHub
Get Started with Azure AI
A guide to achieving artificial intelligence expertise on Azure
With cloud AI services and tools, now every developer can leverage AI to create
innovative applications that solve complex problems.
This guide will show you how to create the next generation of applications using
Azure AI in only 4 weeks. By committing less than an hour each day—think coffee-
fueled morning ritual or mid-afternoon break— you’ll be able to build intelligent
apps confidently with the tools and frameworks of your choice.
Each week you’ll watch a video on foundational concepts of Azure AI, complete a
step-by-step training, and try what you’ve learned with a hands-on exercise. This will
give you the expertise you need to successfully complete your Azure AI
Fundamentals certification.
Let’s get started!
aka.ms/AILearningjourney
Role based Azure AI Certifications for all users
For Business Pros
114k
Certified Pros
For AI Engineers
16k
Certified Engineers
For Data Scientists
19k
Certified Data Scientists
As of Dec 2022
Audience: Business Decision Makers (e.g. Business Unit Managers, Senior Management)
Format: Online course, Free, On demand, Diversified content (articles, videos, use cases)
Objective: Share insights and practical guidance from top executives (Microsoft , Customers, Partners) on how to strategically apply AI
in your organization.
6
Pillars
Define an AI
strategy to create
business value
Discover ways to
foster an AI-ready
culture
Identify
guiding principles
for responsible AI
Introduction to AI
technology for
business leaders
Scale AI in your
organization
Enable AI business
users with
Learn more at microsoft.com/ai-business-school In partnership with
Reserved
Instances
Save up to 72% when using
Azure Machine Learning
reserved instances
https://learn.microsoft.com/en-us/azure/machine-
learning/how-to-manage-optimize-cost
Forrester
TEI Report
Azure AI increased work
output by 150% and
customers saw an 80%
reduction in manual work
from process automation. This
resulted in 284% ROI for
businesses that use Azure AI.
Forrester TEI Study for Azure AI | Microsoft Azure
AAAP
Azure Credits, ECIF, Partner
Support, Engineering Support
Thank you

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AI pitch SSideri

  • 1.
  • 2. AI Strategy and Investments
  • 3. 2x 5x 50% Artificial Intelligence Index Report 2022, Stanford University HAC 2022 S Leadership IT Investment Survey 2022 (CSS Insights); McKinsey; EY March Report The state of AI in 2022--and a half decade in review | McKinsey
  • 4.
  • 5. Top 3 common adopted AI use cases and benefits 1Intelligent document automation 250K Man-hours of manual work saving Automate processes and improve operational efficiency 2 Sales and Demand Forecasting / Inventory Management 3x Faster to get a model into a production environment Accelerate time-to-market 3Hyper-personalization for up-sell and cross-sell $10M Annual saving with AI chatbots Build digital trust and improve user experiences
  • 6. Data and AI Business applications Modern work Security Digital and app innovation Infrastructure Microsoft Cloud
  • 7. Enabling customers to Do More with Less Research & Technology Expand AI accessibility and improve productivity Strategic Partnerships Accelerate production and innovation Responsible AI Practices Build digital trust and improve user experience
  • 9. Turing Rich language understanding Z-Code 100 languages translation Florence Breakthrough visual recognition OpenAI GPT-3/GPT-4 Human-like language generation DALL-E Realistic image generation Codex Advanced code generation Azure AI services Vision Speech Language Decision OpenAI Service Cognitive Search Form Recognizer Immersive Reader Bot Service Video Analyzer Better search and Q&A Better customer engagement and support Better matching and content moderation Better email management and meeting preparation Better knowledge management Better meeting management Better reading and writing assistance Better content moderation ChatGPT Conversation generation
  • 10. Azure AI in Microsoft Cloud solutions Azure OpenAI Service Azure OpenAI Service Azure Machine Learning Azure Machine Learning Azure AI services Azure AI services Azure AI services Azure AI services Azure AI services Azure AI services Azure AI services Azure AI services
  • 11. 5 ways Azure AI increases Digital Accessibility These use cases and apps all use Azure AI technology to add accessibility with a simple API call Live Captions Content Reading Translation Voice input Describe images Hearing disability Neurodivergent Neurodivergent Vision disability Non-native speakers Mobility disability Neurodivergent Vision disability
  • 13. Three engagement models for go-to-market Sell Together Drive joint selling through Microsoft and partners 1,000s of partners driving co-sell of AI Solutions Build Together Create a vast ecosystem of partner experts 1,500 Co-sell customer ready Azure AI solutions Go-to-Market Together Create end-to-end strategic partnerships on AI 50+ strategic AI partnerships
  • 14.
  • 15. Ensure that artificial general intelligence (AGI) benefits humanity Empower every person and organization on the planet to achieve more GPT-3.5 and GPT-4 Text ChatGPT Conversation Codex Code DALL·E 2 Images
  • 17. Our Responsible AI journey Aether Committee 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 Satya Nadella pens an article introducing concepts of responsible AI Established our AI principles through ‘The Future Computed’ Call for regulation of facial recognition Facial recognition principles published Responsible AI Standard (external) Responsible AI Dashboard Responsible AI Champs begins Office of Responsible AI Responsible AI Standard V1 (internal) Responsible AI Standard V2 (internal) Responsible AI Strategy in Engineering (RAISE) 2 0 2 1 2 0 2 2
  • 18.
  • 19. The Anatomy of the Responsible AI Standard Principles Goals Requirements Tools and Practices
  • 20. Pioneering new engineering practices Responsible AI dashboard Azure AI Content Safety
  • 21.
  • 23.
  • 24. Azure AI services Bot Service Cognitive Search Form Recognizer Video Indexer Metrics Advisor Immersive Reader Vision Speech Language Decision ML Platform Azure OpenAI Service Azure Machine Learning
  • 25. Build and train your own models Ground Azure OpenAI Service and OSS models using your data Built-in vector indexing Retrieval augmented generation made easy Create prompt flows AI safety built-in
  • 26.
  • 28. Azure AI services Document Intelligence Cognitive Search Bot Service Video Indexer Metrics Advisor Immersive Reader Vision Speech Language Decision ML Platform Azure OpenAI Service Azure Machine Learning
  • 29. Customizable pretrained models Built with breakthrough AI research Deploy anywhere Cross-cloud and edge support with containers No ML expertise required Get started quickly regardless of experience level Responsible AI in action Develop responsibly and empower responsible use
  • 30. Azure OpenAI Service Top capabilities Content generation Summarization Code generation Semantic search Customer use cases
  • 31. Azure OpenAI Service GPT-3 Codex DALL·E (preview) ChatGPT (preview) GPT-4 (preview)
  • 32. Generative AI Prompt: Can you summarize this personal finance article in 2- sentences for my tax-filing customers: https://www.fidelity.com/learning- center/personal-finance/tax-pitfalls Response: Tax pitfalls can be costly, so it's important to be aware of them. Some common tax pitfalls include failing to file or pay taxes on time, not reporting all income, claiming too many deductions, and not keeping accurate records. Fidelity offers a list of common tax pitfalls that individuals should be aware of in order to avoid costly mistakes. 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' Prompt: a ball of fire with vibrant colors to show the speed of innovation at our media and entertainment company Response: GPT-3/4 Codex DALL·E ChatGPT Prompt: I’m having trouble getting my Xbox to turn on. Response: There are a few things you can try to troubleshoot this issue, First, …. Next, check the power cord … Prompt: Thanks! That worked. What games do you recommend for my 14-year-old? Response: Here are a few games that you might consider: (bulleted list) …
  • 33. GPT-3 Codex DALL·E ChatGPT GPT-4
  • 34. Azure OpenAI Service on your data
  • 35. Microsoft 365 Copilot Dynamics 365 Copilot Copilot in Power Platform GitHub Copilot Learn more Learn more Learn more Learn more Microsoft Security Copilot Learn more
  • 36. GitHub Copilot Your AI pair programmer
  • 37. Power BI Generating DAX expressions with natural language
  • 39.
  • 40. Videos Extract actionable insights from your videos Monitoring Proactively monitor metrics and diagnose issues Conversations Extract actionable insights from your videos Documents Turn documents into usable data at a fraction of the time and cost Search Bring AI-powered cloud search to your mobile and web apps. Accessibility Help users read and comprehend text
  • 41. Vision Speech Language Decision NEW
  • 43. Speech-recognition word-error rates Human-level Microsoft Switchboard cellular Meeting speech IBM, Switchboard Switchboard Broadcast speech Vision Speech Language Decision Speech recognition human parity What does she say? A. “haha, that’s about all ours is.” B. “uhhuh that’s about the horses.” C. “uhhuh that’s about how old ours is.” Sources: Microsoft: research papers
  • 44. Vision Speech Language Decision General Language Understanding Evaluation (GLUE) Tasks: The Corpus of Linguistic Acceptability The Stanford Sentiment Treebank Microsoft Research Paraphrase Corpus Semantic Textual Similarity Benchmark Quora Question Pairs MultiNLI Matched MultiNLI Mismatched Question NLI Recognizing Textual Entailment Winograd NLI Diagnostics Main Who is “they”? The city council refused the demonstrators a permit because they advocated feared violence. The city council. A. B. The demonstrators.
  • 46. Azure AI Content Safety Service Detect and assign severity scores to unsafe content Works on human/AI generated content Integrated across Azure AI Available in Preview
  • 48. Azure AI services Bot Service Cognitive Search Form Recognizer Video Indexer Metrics Advisor Immersive Reader Vision Speech Language Decision ML Platform Azure OpenAI Service Azure Machine Learning
  • 49. Build, deploy, and manage custom ML models ~2min Time it takes for Nestle to process threat detections using MLOps and handle them faster 96% Rate of accuracy SAS can predict fraud using Automated ML, improving sales forecasting 1.3M Number of calls AGI inferences using MLOps, increasing speed- to-value
  • 51. Accelerate the end-to-end machine learning lifecycle Accelerate time-to-value with rapid model development Collaborate and streamline the management of models Build enterprise-grade ML solutions on a secure, hybrid, and compliant platform Infuse responsible AI throughout the development lifecycle
  • 52. Native OSS Model Catalog Responsible AI Azure AI Content Safety Prompt Eng/Eval Prompt flow High Scale Gen AI App Deployment Gen AI Model Monitoring
  • 53. Azure Machine Learning prompt flow Customer Benefits • Create AI workflows that connect to various language models and data sources. • One platform to build, tune, evaluate, deploy, and test AI workflow. • Evaluate the quality of AI workflows with rich set of pre-built metrics. • Easy prompt tuning, comparison, tracking.
  • 54. Azure Machine Learning foundation models Customer Benefits • Access to thousands of open-source models from Hugging Face and Azure OpenAI Service models in a unified model catalog. • Out-of-the-box support for model fine- tuning and evaluation. • Easy deployment to managed endpoints.
  • 55. AutoML for Tabular Data Classification Regression Time Series Forecasting AutoML for Images Image Classification Image Classification Multi-Label Object Detection Image Segmentation AutoML for NLP Text Classification Text Classification Multi-Label Text NER (Named-Entity Recognition) AutoML Code Generation
  • 56. What is the Azure Machine Learning Designer? Designer is a UX that enables you to build machine learning pipelines with drag-n-drop experiences that simplify the deployment of your pipelines. Key advantages Connect to your own data with ease Hundreds of pre-build components help you build and train models without writing code Automate model validation, evaluation and interpretation in your pipeline Deploy models and publish endpoints with a few clicks
  • 57. Compatible with Jupyter Fully compatible with Jupyter notebooks Improved Notebook editor Monaco editor, IntelliSense and Gather Git Integration and Terminal Collaborate with Git and use the terminal Azure Machine Learning integration One-click access to all AzureML assets VSCode Integration Transition to full fledged editor Screenshot of Feature
  • 59. Model reproducibility Model validation Model deployment Model retraining App developer using Azure DevOps Data scientist using Azure Machine Learning Collaborate Build app Test app Release app Monitor app Train model Validate model Deploy model Monitor model Retrain model Azure Machine Learning + Azure DevOps + GitHub
  • 60. Get Started with Azure AI
  • 61. A guide to achieving artificial intelligence expertise on Azure With cloud AI services and tools, now every developer can leverage AI to create innovative applications that solve complex problems. This guide will show you how to create the next generation of applications using Azure AI in only 4 weeks. By committing less than an hour each day—think coffee- fueled morning ritual or mid-afternoon break— you’ll be able to build intelligent apps confidently with the tools and frameworks of your choice. Each week you’ll watch a video on foundational concepts of Azure AI, complete a step-by-step training, and try what you’ve learned with a hands-on exercise. This will give you the expertise you need to successfully complete your Azure AI Fundamentals certification. Let’s get started! aka.ms/AILearningjourney
  • 62. Role based Azure AI Certifications for all users For Business Pros 114k Certified Pros For AI Engineers 16k Certified Engineers For Data Scientists 19k Certified Data Scientists As of Dec 2022
  • 63. Audience: Business Decision Makers (e.g. Business Unit Managers, Senior Management) Format: Online course, Free, On demand, Diversified content (articles, videos, use cases) Objective: Share insights and practical guidance from top executives (Microsoft , Customers, Partners) on how to strategically apply AI in your organization. 6 Pillars Define an AI strategy to create business value Discover ways to foster an AI-ready culture Identify guiding principles for responsible AI Introduction to AI technology for business leaders Scale AI in your organization Enable AI business users with Learn more at microsoft.com/ai-business-school In partnership with
  • 64. Reserved Instances Save up to 72% when using Azure Machine Learning reserved instances https://learn.microsoft.com/en-us/azure/machine- learning/how-to-manage-optimize-cost Forrester TEI Report Azure AI increased work output by 150% and customers saw an 80% reduction in manual work from process automation. This resulted in 284% ROI for businesses that use Azure AI. Forrester TEI Study for Azure AI | Microsoft Azure AAAP Azure Credits, ECIF, Partner Support, Engineering Support