SlideShare a Scribd company logo
From Prompt to Product:
Microsoft 365 Copilot
Tamara Stankovic
Senior Applied Science Manager
Microsoft Development Center Serbia
Microsoft 365 Copilot
Your AI assistant at work
Unlock productivity and unleash creativity
Microsoft 365 Copilot
Microsoft Graph
- Your Data -
Large Language
Models
Microsoft 365
Apps
Natural Language
The
Internet
Security Compliance Privacy Responsible AI
Microsoft 365 Copilot
Built on Microsoft’s comprehensive approach
Copilot for Microsoft 365 | Architecture
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Microsoft Copilot for Microsoft 365 architecture
*Represents Microsoft 365 Chat on Bing
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Pre-processing
Grounding
2
Microsoft Graph
Your context and content
(emails, files, meetings, chats,
calendars, and contacts)
Customer Microsoft 365 Tenant
Copilot accesses Graph + (optional) Web + Other services for grounding
2
*Represents Microsoft 365 Chat on Bing
Microsoft Copilot for Microsoft 365 architecture
Dataverse + Power
Platform Services
Bing
Plug-ins
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Pre-processing
Grounding
2
Microsoft Graph
Your context and content
(emails, files, meetings, chats,
calendars, and contacts)
Customer Microsoft 365 Tenant
Copilot accesses Graph + (optional) Web + Other services for grounding
2
Modified
prompt
3
Large Language
Model
RAI is performed on
input prompt and
output results
RAI
Prompts, responses, and grounding data
aren’t used to train foundation models
Azure
OpenAI
Azure OpenAI instance
is maintained by
Microsoft. OpenAI has
no access to the data
or the model
Copilot sends modified prompt to Large Language Model (LLM)
3
3
*Represents Microsoft 365 Chat on Bing
Microsoft Copilot for Microsoft 365 architecture
Dataverse + Power
Platform Services
Bing
Plug-ins
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Pre-processing
Grounding
2
Microsoft Graph
Your context and content
(emails, files, meetings, chats,
calendars, and contacts)
Customer Microsoft 365 Tenant
Copilot accesses Graph + (optional) Web + Other services for grounding
2
Modified
prompt
3
Large Language
Model
RAI is performed on
input prompt and
output results
RAI
Prompts, responses, and grounding data
aren’t used to train foundation models
Azure
OpenAI
Azure OpenAI instance
is maintained by
Microsoft. OpenAI has
no access to the data
or the model
Copilot sends modified prompt to Large Language Model (LLM)
3
LLM
response
4
Copilot receives LLM response
4
3
*Represents Microsoft 365 Chat on Bing
Microsoft Copilot for Microsoft 365 architecture
Dataverse + Power
Platform Services
Bing
Plug-ins
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Pre-processing
Grounding
2
Microsoft Graph
Your context and content
(emails, files, meetings, chats,
calendars, and contacts)
Customer Microsoft 365 Tenant
Copilot accesses Graph + (optional) Web + Other services for grounding
2
Modified
prompt
3
Large Language
Model
RAI is performed on
input prompt and
output results
RAI
Prompts, responses, and grounding data
aren’t used to train foundation models
Azure
OpenAI
Azure OpenAI instance
is maintained by
Microsoft. OpenAI has
no access to the data
or the model
Copilot sends modified prompt to Large Language Model (LLM)
3
LLM
response
4
Copilot receives LLM response
4
Copilot accesses Graph for Compliance and Purview
5
Compliance and Purview
Post-processing
5
3
*Represents Microsoft 365 Chat on Bing
Microsoft Copilot for Microsoft 365 architecture
Dataverse + Power
Platform Services
Bing
Plug-ins
User prompt
Data flow ( = all requests are encrypted via HTTPS and wss://)
User prompts are sent to Copilot
1
Microsoft 365 Service Boundary
1
Pre-processing
Grounding
2
Dataverse + Power
Platform Services
Bing
Plug-ins
Microsoft Graph
Your context and content
(emails, files, meetings, chats,
calendars, and contacts)
Customer Microsoft 365 Tenant
Copilot accesses Graph + (optional) Web + Other services for grounding
2
Modified
prompt
3
Large Language
Model
RAI is performed on
input prompt and
output results
RAI
Prompts, responses, and grounding data
aren’t used to train foundation models
Azure
OpenAI
Azure OpenAI instance
is maintained by
Microsoft. OpenAI has
no access to the data
or the model
Copilot sends modified prompt to Large Language Model (LLM)
3
LLM
response
4
Copilot receives LLM response
4
Copilot accesses Graph for Compliance and Purview
5
Compliance and Purview
Post-processing
5
3
Copilot sends the response back to the user
6
Copilot response
back to the user
6
Microsoft Copilot for Microsoft 365 architecture
Microsoft 365
Copilot stack
AI infrastructure
Foundation models
Hosted fine-tuned foundation models
Hosted foundation models
Grounding
Metaprompt
Prompt & response filtering
Orchestration
Copilot frontend
UX
Plugin extensibility
UX
Microsoft 365 Copilot
Retrieval Augmented Generation (RAG)
Semantic Index
People
Devices
Files
Events
Chats & channels
Notifications
Tasks
Groups
Security
Microsoft Graph
LLM prompt
 User prompt specifies the task for Copilot
 Relevant data from Graph, Web and other grounding sources, is used to augment the prompt
 Requirement: find relevant data
 Chat session history is also used
 Microsoft 365 has its own default prompt, which gives Copilot responsible rules for interaction
User Prompt + Grounding data + Chat History
+ System Prompt
Microsoft’s
Responsible AI
Principles
Privacy &
Security
Inclusiveness
Accountability
Fairness
Reliability &
Safety
Transparency
Building blocks
to enact principles
Tools and processes
Training and practices
Rules
Governance
Microsoft’s Responsible AI Standard
Guidance for designing, developing, deploying, and using AI
Identify
Identify and prioritize
potential harms that
could result from your
AI system through
iterative red-teaming,
stress-testing, and
analysis.
Measure
Measure the
frequency and
severity of those
harms by establishing
clear metrics, creating
measurement test
sets, and completing
iterative, systematic
testing (both manual
and automated).
Mitigate
Mitigate harms by
implementing tools
and strategies such as
prompt engineering
and using our content
filters. Repeat
measurement to test
effectiveness after
implementing
mitigations.
Operate
Define and execute
a deployment and
operational readiness
plan.
Review our Responsible AI practices to learn more
What’s the difference between ChatGPT and
Microsoft 365 Copilot?
ChatGPT is a general-purpose LLM that works like it a
chatbot. It uses machine learning algorithms to answer
user questions or prompts in a way that mimics human
conversations.
ChatGPT cannot search the internet, and its knowledge
base does not extend beyond September 2021. This means
it can “hallucinate” and provide wrong information.
Popular ChatGPT use cases include text compositions, lists,
coding, and content summaries.
Microsoft 365 Copilot is an AI-powered digital assistant
that combines ChatGPT with data from the Microsoft
Graph and Microsoft 365 apps. It uses data from user
calendars, emails, chats, documents, meetings, and
more to deliver contextual, relevant solutions directly in
Microsoft 365 apps.
This approach only improves the context for a user’s
specific scenario; Microsoft does not leverage user data
to train the Copilot model.
Since Copilot works directly in Microsoft 365 apps, it can
do things like create new content in PowerPoint, suggest
email replies in Outlook, and recap a Teams meeting.
Read more about the difference between ChatGPT and Microsoft 365 Copilot.
Thank You!

More Related Content

What's hot

Conversational AI and Chatbot Integrations
Conversational AI and Chatbot IntegrationsConversational AI and Chatbot Integrations
Conversational AI and Chatbot Integrations
Cristina Vidu
 
MLOps for production-level machine learning
MLOps for production-level machine learningMLOps for production-level machine learning
MLOps for production-level machine learning
cnvrg.io AI OS - Hands-on ML Workshops
 
Intro to Azure OpenAI Service L100 (Thai Ver).pdf
Intro to Azure OpenAI Service L100 (Thai Ver).pdfIntro to Azure OpenAI Service L100 (Thai Ver).pdf
Intro to Azure OpenAI Service L100 (Thai Ver).pdf
Korkrid Akepanidtaworn
 
An Introduction to Generative AI - May 18, 2023
An Introduction  to Generative AI - May 18, 2023An Introduction  to Generative AI - May 18, 2023
An Introduction to Generative AI - May 18, 2023
CoriFaklaris1
 
MLOps Bridging the gap between Data Scientists and Ops.
MLOps Bridging the gap between Data Scientists and Ops.MLOps Bridging the gap between Data Scientists and Ops.
MLOps Bridging the gap between Data Scientists and Ops.
Knoldus Inc.
 
Machine Learning and AI
Machine Learning and AIMachine Learning and AI
Machine Learning and AI
James Serra
 
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdfWebinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
Product School
 
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Naoki (Neo) SATO
 
What is MLOps
What is MLOpsWhat is MLOps
What is MLOps
Henrik Skogström
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Márton Kodok
 
Ml ops past_present_future
Ml ops past_present_futureMl ops past_present_future
Ml ops past_present_future
Nisha Talagala
 
The future of AI is hybrid
The future of AI is hybridThe future of AI is hybrid
The future of AI is hybrid
Qualcomm Research
 
MLOps.pptx
MLOps.pptxMLOps.pptx
MLOps.pptx
AllenPeter7
 
Generative-AI-in-enterprise-20230615.pdf
Generative-AI-in-enterprise-20230615.pdfGenerative-AI-in-enterprise-20230615.pdf
Generative-AI-in-enterprise-20230615.pdf
Liming Zhu
 
Gen AI Cognizant & AWS event presentation_12 Oct.pdf
Gen AI Cognizant & AWS event presentation_12 Oct.pdfGen AI Cognizant & AWS event presentation_12 Oct.pdf
Gen AI Cognizant & AWS event presentation_12 Oct.pdf
PhilipBasford
 
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
Fordham University
 
MLOps with Azure DevOps
MLOps with Azure DevOpsMLOps with Azure DevOps
MLOps with Azure DevOps
Marco Parenzan
 
Databricks Overview for MLOps
Databricks Overview for MLOpsDatabricks Overview for MLOps
Databricks Overview for MLOps
Databricks
 
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
Naoki (Neo) SATO
 
Azure migration
Azure migrationAzure migration
Azure migration
Arnon Rotem-Gal-Oz
 

What's hot (20)

Conversational AI and Chatbot Integrations
Conversational AI and Chatbot IntegrationsConversational AI and Chatbot Integrations
Conversational AI and Chatbot Integrations
 
MLOps for production-level machine learning
MLOps for production-level machine learningMLOps for production-level machine learning
MLOps for production-level machine learning
 
Intro to Azure OpenAI Service L100 (Thai Ver).pdf
Intro to Azure OpenAI Service L100 (Thai Ver).pdfIntro to Azure OpenAI Service L100 (Thai Ver).pdf
Intro to Azure OpenAI Service L100 (Thai Ver).pdf
 
An Introduction to Generative AI - May 18, 2023
An Introduction  to Generative AI - May 18, 2023An Introduction  to Generative AI - May 18, 2023
An Introduction to Generative AI - May 18, 2023
 
MLOps Bridging the gap between Data Scientists and Ops.
MLOps Bridging the gap between Data Scientists and Ops.MLOps Bridging the gap between Data Scientists and Ops.
MLOps Bridging the gap between Data Scientists and Ops.
 
Machine Learning and AI
Machine Learning and AIMachine Learning and AI
Machine Learning and AI
 
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdfWebinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
Webinar How PMs Use AI to 10X Their Productivity by Product School EiR.pdf
 
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
Microsoft Build 2023 Updates – Copilot Stack and Azure OpenAI Service (Machin...
 
What is MLOps
What is MLOpsWhat is MLOps
What is MLOps
 
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google CloudVertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
Vertex AI - Unified ML Platform for the entire AI workflow on Google Cloud
 
Ml ops past_present_future
Ml ops past_present_futureMl ops past_present_future
Ml ops past_present_future
 
The future of AI is hybrid
The future of AI is hybridThe future of AI is hybrid
The future of AI is hybrid
 
MLOps.pptx
MLOps.pptxMLOps.pptx
MLOps.pptx
 
Generative-AI-in-enterprise-20230615.pdf
Generative-AI-in-enterprise-20230615.pdfGenerative-AI-in-enterprise-20230615.pdf
Generative-AI-in-enterprise-20230615.pdf
 
Gen AI Cognizant & AWS event presentation_12 Oct.pdf
Gen AI Cognizant & AWS event presentation_12 Oct.pdfGen AI Cognizant & AWS event presentation_12 Oct.pdf
Gen AI Cognizant & AWS event presentation_12 Oct.pdf
 
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
Foundation of Generative AI: Study Materials Connecting the Dots by Delving i...
 
MLOps with Azure DevOps
MLOps with Azure DevOpsMLOps with Azure DevOps
MLOps with Azure DevOps
 
Databricks Overview for MLOps
Databricks Overview for MLOpsDatabricks Overview for MLOps
Databricks Overview for MLOps
 
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
Microsoft + OpenAI: Recent Updates (Machine Learning 15minutes! Broadcast #74)
 
Azure migration
Azure migrationAzure migration
Azure migration
 

Similar to [DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copilot.pdf

Introduction to graph services
Introduction to graph servicesIntroduction to graph services
Introduction to graph services
Dipti Chhatrapati
 
Microsoft Graph: The API for Microsoft 365
Microsoft Graph: The API for Microsoft 365Microsoft Graph: The API for Microsoft 365
Microsoft Graph: The API for Microsoft 365
Mayur Tendulkar
 
Microsoft Teams Development - Conversational AI
Microsoft Teams Development - Conversational AIMicrosoft Teams Development - Conversational AI
Microsoft Teams Development - Conversational AI
Thomas Gölles
 
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
Modern Workplace Conference Paris
 
MS Inspire Update | Data Flex and Return to Workspace Solution
MS Inspire Update | Data Flex and Return to Workspace SolutionMS Inspire Update | Data Flex and Return to Workspace Solution
MS Inspire Update | Data Flex and Return to Workspace Solution
Manoj Mittal
 
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
Swiss SharePoint Club
 
Microsoft Graph API - A Single Stop For Your Cloud Solution
Microsoft Graph API - A Single Stop For Your Cloud SolutionMicrosoft Graph API - A Single Stop For Your Cloud Solution
Microsoft Graph API - A Single Stop For Your Cloud Solution
Dipti Chhatrapati
 
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
Vincent Biret
 
Microsoft .Net Framework 2 0
Microsoft .Net Framework 2 0Microsoft .Net Framework 2 0
Microsoft .Net Framework 2 0
Acend Corporate Learning
 
Soprex framework on .net in action
Soprex framework on .net in actionSoprex framework on .net in action
Soprex framework on .net in action
Milan Vukoje
 
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
Nilesh Shah
 
Microsoft graph monthly call september 2018
Microsoft graph monthly call september 2018Microsoft graph monthly call september 2018
Microsoft graph monthly call september 2018
Microsoft 365 Developer
 
Developing business applications via power platform build2019
Developing business applications via power platform build2019Developing business applications via power platform build2019
Developing business applications via power platform build2019
Dipti Chhatrapati
 
Peter De Tender - How to efficiently license office 365
Peter De Tender - How to efficiently license office 365Peter De Tender - How to efficiently license office 365
Peter De Tender - How to efficiently license office 365
Nordic Infrastructure Conference
 
Office 365 Fast track
Office 365 Fast trackOffice 365 Fast track
Office 365 Fast track
Tommy Clarke
 
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s PerspectiveESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
Thomas Gölles
 
D365 Demonstration CRM G Aspiotis
D365 Demonstration CRM G AspiotisD365 Demonstration CRM G Aspiotis
D365 Demonstration CRM G Aspiotis
Uni Systems S.M.S.A.
 
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
Modern Workplace Conference Paris
 
Crm saturday madrid 2017 3 mosqueteros demian-marco-mario
Crm saturday madrid 2017   3  mosqueteros demian-marco-marioCrm saturday madrid 2017   3  mosqueteros demian-marco-mario
Crm saturday madrid 2017 3 mosqueteros demian-marco-mario
Demian Raschkovan
 
#MSGraph introduction at #M365SaturdayOttawa
#MSGraph introduction at #M365SaturdayOttawa#MSGraph introduction at #M365SaturdayOttawa
#MSGraph introduction at #M365SaturdayOttawa
Vincent Biret
 

Similar to [DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copilot.pdf (20)

Introduction to graph services
Introduction to graph servicesIntroduction to graph services
Introduction to graph services
 
Microsoft Graph: The API for Microsoft 365
Microsoft Graph: The API for Microsoft 365Microsoft Graph: The API for Microsoft 365
Microsoft Graph: The API for Microsoft 365
 
Microsoft Teams Development - Conversational AI
Microsoft Teams Development - Conversational AIMicrosoft Teams Development - Conversational AI
Microsoft Teams Development - Conversational AI
 
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
2018-10-18 J2 1D - Dive into the power of the Microsoft Graph - Toni Pohl
 
MS Inspire Update | Data Flex and Return to Workspace Solution
MS Inspire Update | Data Flex and Return to Workspace SolutionMS Inspire Update | Data Flex and Return to Workspace Solution
MS Inspire Update | Data Flex and Return to Workspace Solution
 
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
02.microsoft_strategy_on_share_point_office 365_thierry_gasser_microsoft
 
Microsoft Graph API - A Single Stop For Your Cloud Solution
Microsoft Graph API - A Single Stop For Your Cloud SolutionMicrosoft Graph API - A Single Stop For Your Cloud Solution
Microsoft Graph API - A Single Stop For Your Cloud Solution
 
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
#Techorama belgium 2018 vincent biret deep dive with the #MicrosoftGraph
 
Microsoft .Net Framework 2 0
Microsoft .Net Framework 2 0Microsoft .Net Framework 2 0
Microsoft .Net Framework 2 0
 
Soprex framework on .net in action
Soprex framework on .net in actionSoprex framework on .net in action
Soprex framework on .net in action
 
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
Power of Microsoft Graph API by Nilesh Shah SharePoint Saturday Toronto 2017
 
Microsoft graph monthly call september 2018
Microsoft graph monthly call september 2018Microsoft graph monthly call september 2018
Microsoft graph monthly call september 2018
 
Developing business applications via power platform build2019
Developing business applications via power platform build2019Developing business applications via power platform build2019
Developing business applications via power platform build2019
 
Peter De Tender - How to efficiently license office 365
Peter De Tender - How to efficiently license office 365Peter De Tender - How to efficiently license office 365
Peter De Tender - How to efficiently license office 365
 
Office 365 Fast track
Office 365 Fast trackOffice 365 Fast track
Office 365 Fast track
 
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s PerspectiveESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
ESPC Teams week Microsoft Teams & Bot Framework – a Developer’s Perspective
 
D365 Demonstration CRM G Aspiotis
D365 Demonstration CRM G AspiotisD365 Demonstration CRM G Aspiotis
D365 Demonstration CRM G Aspiotis
 
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
2018-10-17 J1 6D - Draw your imagination with Microsoft Graph API - Dipti Chh...
 
Crm saturday madrid 2017 3 mosqueteros demian-marco-mario
Crm saturday madrid 2017   3  mosqueteros demian-marco-marioCrm saturday madrid 2017   3  mosqueteros demian-marco-mario
Crm saturday madrid 2017 3 mosqueteros demian-marco-mario
 
#MSGraph introduction at #M365SaturdayOttawa
#MSGraph introduction at #M365SaturdayOttawa#MSGraph introduction at #M365SaturdayOttawa
#MSGraph introduction at #M365SaturdayOttawa
 

More from DataScienceConferenc1

[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
DataScienceConferenc1
 
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
DataScienceConferenc1
 
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
DataScienceConferenc1
 
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
DataScienceConferenc1
 
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
DataScienceConferenc1
 
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
DataScienceConferenc1
 
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
DataScienceConferenc1
 
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
DataScienceConferenc1
 
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
DataScienceConferenc1
 
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
DataScienceConferenc1
 
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
DataScienceConferenc1
 
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
DataScienceConferenc1
 
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
DataScienceConferenc1
 
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
DataScienceConferenc1
 
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
DataScienceConferenc1
 
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
DataScienceConferenc1
 
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
DataScienceConferenc1
 
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
DataScienceConferenc1
 
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
DataScienceConferenc1
 
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
DataScienceConferenc1
 

More from DataScienceConferenc1 (20)

[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
[DSC MENA 24] Mostafa_Essa_-_Ai_and_cloud.pdf
 
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
[DSC MENA 24] Yasser_El_Bendary - How NLP & LLMs model can excel in comprehen...
 
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
[DSC MENA 24] Medhat_Kandil - Empowering Egypt's AI & Biotechnology Scenes.pdf
 
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
[DSC MENA 24] Youssef_Kamal - Data governance and quality.pdf
 
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
[DSC MENA 24] Abdelrahman_Ghallab_-_Data_Product_mgmt.pdf
 
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
[DSC MENA 24] Asmaa_Eltaher_-_Innovation_Beyond_Brainstorming.pptx
 
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
[DSC MENA 24] Muhammad_Ezzat_-_Sustianable_Growth_Empowerment.pdf
 
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
[DSC MENA 24] Basma_Rady_-_Building_a_Data_Driven_Culture_in_Your_Organizatio...
 
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
[DSC MENA 24] Ahmed_Muselhy_-_Unveiling-the-Secrets-of-AI-in-Hiring.pdf
 
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
[DSC MENA 24] Ziad_Diab_-_Data-Driven_Disruption_-_The_Role_of_Data_Strategy_...
 
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
[DSC MENA 24] Mohammad_Essam_- Leveraging Scene Graphs for Generative AI and ...
 
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
[DSC MENA 24] Ahmed_Fahmy - Navigating the Future.pdf
 
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
[DSC MENA 24] Hany_Saad_Gheit_-_Azure_OpenAI_service.pptx
 
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
[DSC MENA 24] Nezar_El_Kady_-_From_Turing_to_Transformers__Navigating_the_AI_...
 
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
[DSC MENA 24] Amira_Abdelaziz_-_AI_in_Financial_Services.pptx
 
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
[DSC MENA 24] Omar_Ossama - My Journey from the Field of Oil & Gas, to the Ex...
 
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
[DSC MENA 24] Ramy_Agieb_-_Advancements_in_Artificial_Intelligence_for_Cybers...
 
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
[DSC MENA 24] Sohaila_Diab_-_Lets_Talk_Gen_AI_Presentation.pptx
 
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
[DSC MENA 24] Amal_Elgammal_-_QUALITOP_presentation.pptx
 
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
[DSC MENA 24] Abdelrahman_Sleem_-_AI_For_Marketing_DSC.pdf
 

Recently uploaded

一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
apvysm8
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
y3i0qsdzb
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
Sm321
 
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
xclpvhuk
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
Timothy Spann
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Bill641377
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
mkkikqvo
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
taqyea
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
ihavuls
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Walaa Eldin Moustafa
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
VyNguyen709676
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
roli9797
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
Social Samosa
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
Timothy Spann
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
ElizabethGarrettChri
 

Recently uploaded (20)

一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
Challenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more importantChallenges of Nation Building-1.pptx with more important
Challenges of Nation Building-1.pptx with more important
 
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
一比一原版(Unimelb毕业证书)墨尔本大学毕业证如何办理
 
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
06-12-2024-BudapestDataForum-BuildingReal-timePipelineswithFLaNK AIM
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
 
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
原版一比一多伦多大学毕业证(UofT毕业证书)如何办理
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
 
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
 
writing report business partner b1+ .pdf
writing report business partner b1+ .pdfwriting report business partner b1+ .pdf
writing report business partner b1+ .pdf
 
Analysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performanceAnalysis insight about a Flyball dog competition team's performance
Analysis insight about a Flyball dog competition team's performance
 
The Ipsos - AI - Monitor 2024 Report.pdf
The  Ipsos - AI - Monitor 2024 Report.pdfThe  Ipsos - AI - Monitor 2024 Report.pdf
The Ipsos - AI - Monitor 2024 Report.pdf
 
DSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelinesDSSML24_tspann_CodelessGenerativeAIPipelines
DSSML24_tspann_CodelessGenerativeAIPipelines
 
Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024Open Source Contributions to Postgres: The Basics POSETTE 2024
Open Source Contributions to Postgres: The Basics POSETTE 2024
 

[DSC Europe 23] Tamara Stankovic - From Prompt To Product Microsoft 365 Copilot.pdf

  • 1. From Prompt to Product: Microsoft 365 Copilot Tamara Stankovic Senior Applied Science Manager Microsoft Development Center Serbia
  • 2. Microsoft 365 Copilot Your AI assistant at work
  • 3. Unlock productivity and unleash creativity Microsoft 365 Copilot Microsoft Graph - Your Data - Large Language Models Microsoft 365 Apps Natural Language The Internet
  • 4. Security Compliance Privacy Responsible AI Microsoft 365 Copilot Built on Microsoft’s comprehensive approach
  • 5. Copilot for Microsoft 365 | Architecture
  • 6. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Microsoft Copilot for Microsoft 365 architecture *Represents Microsoft 365 Chat on Bing
  • 7. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Pre-processing Grounding 2 Microsoft Graph Your context and content (emails, files, meetings, chats, calendars, and contacts) Customer Microsoft 365 Tenant Copilot accesses Graph + (optional) Web + Other services for grounding 2 *Represents Microsoft 365 Chat on Bing Microsoft Copilot for Microsoft 365 architecture Dataverse + Power Platform Services Bing Plug-ins
  • 8. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Pre-processing Grounding 2 Microsoft Graph Your context and content (emails, files, meetings, chats, calendars, and contacts) Customer Microsoft 365 Tenant Copilot accesses Graph + (optional) Web + Other services for grounding 2 Modified prompt 3 Large Language Model RAI is performed on input prompt and output results RAI Prompts, responses, and grounding data aren’t used to train foundation models Azure OpenAI Azure OpenAI instance is maintained by Microsoft. OpenAI has no access to the data or the model Copilot sends modified prompt to Large Language Model (LLM) 3 3 *Represents Microsoft 365 Chat on Bing Microsoft Copilot for Microsoft 365 architecture Dataverse + Power Platform Services Bing Plug-ins
  • 9. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Pre-processing Grounding 2 Microsoft Graph Your context and content (emails, files, meetings, chats, calendars, and contacts) Customer Microsoft 365 Tenant Copilot accesses Graph + (optional) Web + Other services for grounding 2 Modified prompt 3 Large Language Model RAI is performed on input prompt and output results RAI Prompts, responses, and grounding data aren’t used to train foundation models Azure OpenAI Azure OpenAI instance is maintained by Microsoft. OpenAI has no access to the data or the model Copilot sends modified prompt to Large Language Model (LLM) 3 LLM response 4 Copilot receives LLM response 4 3 *Represents Microsoft 365 Chat on Bing Microsoft Copilot for Microsoft 365 architecture Dataverse + Power Platform Services Bing Plug-ins
  • 10. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Pre-processing Grounding 2 Microsoft Graph Your context and content (emails, files, meetings, chats, calendars, and contacts) Customer Microsoft 365 Tenant Copilot accesses Graph + (optional) Web + Other services for grounding 2 Modified prompt 3 Large Language Model RAI is performed on input prompt and output results RAI Prompts, responses, and grounding data aren’t used to train foundation models Azure OpenAI Azure OpenAI instance is maintained by Microsoft. OpenAI has no access to the data or the model Copilot sends modified prompt to Large Language Model (LLM) 3 LLM response 4 Copilot receives LLM response 4 Copilot accesses Graph for Compliance and Purview 5 Compliance and Purview Post-processing 5 3 *Represents Microsoft 365 Chat on Bing Microsoft Copilot for Microsoft 365 architecture Dataverse + Power Platform Services Bing Plug-ins
  • 11. User prompt Data flow ( = all requests are encrypted via HTTPS and wss://) User prompts are sent to Copilot 1 Microsoft 365 Service Boundary 1 Pre-processing Grounding 2 Dataverse + Power Platform Services Bing Plug-ins Microsoft Graph Your context and content (emails, files, meetings, chats, calendars, and contacts) Customer Microsoft 365 Tenant Copilot accesses Graph + (optional) Web + Other services for grounding 2 Modified prompt 3 Large Language Model RAI is performed on input prompt and output results RAI Prompts, responses, and grounding data aren’t used to train foundation models Azure OpenAI Azure OpenAI instance is maintained by Microsoft. OpenAI has no access to the data or the model Copilot sends modified prompt to Large Language Model (LLM) 3 LLM response 4 Copilot receives LLM response 4 Copilot accesses Graph for Compliance and Purview 5 Compliance and Purview Post-processing 5 3 Copilot sends the response back to the user 6 Copilot response back to the user 6 Microsoft Copilot for Microsoft 365 architecture
  • 12. Microsoft 365 Copilot stack AI infrastructure Foundation models Hosted fine-tuned foundation models Hosted foundation models Grounding Metaprompt Prompt & response filtering Orchestration Copilot frontend UX
  • 13. Plugin extensibility UX Microsoft 365 Copilot Retrieval Augmented Generation (RAG) Semantic Index People Devices Files Events Chats & channels Notifications Tasks Groups Security Microsoft Graph
  • 14. LLM prompt  User prompt specifies the task for Copilot  Relevant data from Graph, Web and other grounding sources, is used to augment the prompt  Requirement: find relevant data  Chat session history is also used  Microsoft 365 has its own default prompt, which gives Copilot responsible rules for interaction User Prompt + Grounding data + Chat History + System Prompt
  • 15. Microsoft’s Responsible AI Principles Privacy & Security Inclusiveness Accountability Fairness Reliability & Safety Transparency Building blocks to enact principles Tools and processes Training and practices Rules Governance
  • 16. Microsoft’s Responsible AI Standard Guidance for designing, developing, deploying, and using AI Identify Identify and prioritize potential harms that could result from your AI system through iterative red-teaming, stress-testing, and analysis. Measure Measure the frequency and severity of those harms by establishing clear metrics, creating measurement test sets, and completing iterative, systematic testing (both manual and automated). Mitigate Mitigate harms by implementing tools and strategies such as prompt engineering and using our content filters. Repeat measurement to test effectiveness after implementing mitigations. Operate Define and execute a deployment and operational readiness plan. Review our Responsible AI practices to learn more
  • 17. What’s the difference between ChatGPT and Microsoft 365 Copilot? ChatGPT is a general-purpose LLM that works like it a chatbot. It uses machine learning algorithms to answer user questions or prompts in a way that mimics human conversations. ChatGPT cannot search the internet, and its knowledge base does not extend beyond September 2021. This means it can “hallucinate” and provide wrong information. Popular ChatGPT use cases include text compositions, lists, coding, and content summaries. Microsoft 365 Copilot is an AI-powered digital assistant that combines ChatGPT with data from the Microsoft Graph and Microsoft 365 apps. It uses data from user calendars, emails, chats, documents, meetings, and more to deliver contextual, relevant solutions directly in Microsoft 365 apps. This approach only improves the context for a user’s specific scenario; Microsoft does not leverage user data to train the Copilot model. Since Copilot works directly in Microsoft 365 apps, it can do things like create new content in PowerPoint, suggest email replies in Outlook, and recap a Teams meeting. Read more about the difference between ChatGPT and Microsoft 365 Copilot.