azure ai - ebc deck
TRANSCRIPT
60%Reduction in
search time
1.5MDaily chatbot
interactions
+200%Increase in sales
+20%Increase in operational
efficiency
200Models automatically
built, trained and
deployed
75%Reduction in time-to-
market
©Microsoft Corporation
Azure
Reliability
AI systems should be designed
to perform safely even in the
worst-case scenario.
Transparency
AI systems and their output
should be understandable to
relevant stakeholders.
Privacy & Security
AI systems should protect
data from misuse and
ensure privacy rights.
Accountability
The people who design and deploy
AI systems must be accountable for
how their systems operate.
Inclusion
AI systems should empower everyone,
regardless of ability, and engage people
by providing channels for feedback.
Fairness
AI systems should treat all stakeholders
equiably and should not reinforce
undesirable stereotypes and biases.
Microsoft Responsible AI PrinciplesDesigning solutions worthy of trust
Ethical principles
to earn trust
Governance
and operationsPublic policy
Tools that empower
customers
Responsible AI at Microsoft
A principled approach for AI to amplify human ingenuity,
transform industries and create a positive impact for people & society
Azure AI
AI Portfolio
Power Platform
Bot Service Cognitive Search Content Moderator Form Recognizer Video Indexer Metrics Advisor Immersive Reader
Vision Speech Language Decision
Azure Machine Learning
Power BI Power Apps Power Automate Power Virtual Agents
Applications
Partner Solutions (AppSource)
Scenario-Based Services
Customizable AI Models
ML Platform
Cognitive Services
Developers &
Data Scientists
Business
Users
Microsoft confidential. Internal use only.
Microsoft Teams
1.8MHours of meetings
transcribed in real-time
1BPowerPoint Designer
slides used in a day
Tested at scale in Microsoft solutions
80MPersonalized experiences
delivered daily
Machine translation
human parity
Object detection
human parity
Switchboard
Switchboard cellular
Meeting speech
IBM Switchboard
Broadcast speech
Speech recognition
human parityConversational Q&A
human parity
First FPGA deployed
in a datacenterBuilt on breakthrough AI research
Microsoft confidential. Internal use only.
AI Powered Apps Knowledge Mining Machine Learning
Common AI Patterns
Microsoft confidential. Internal use only.
Build conversational experiences for your customers
Create a bot that can naturally
interact with users by easily
integrating Cognitive Services.
Use open-source SDK and tools
to build, test, and publish your
bot to Azure.
Deploy your bot to popular
channels, wherever your
customers interact.
Create your own branded virtual
assistant using solution
accelerators.
Microsoft confidential. Internal use only.
Seeing AI App from Microsoft
Microsoft confidential. Internal use only.
Eiffel Tower
Keyword search Contextual search Cognitive search
Eiffel Tower famous tower in ParisEiffel Tower
We believe that we can do so much more by using AI to read our documentation, to read more
fields on that, and to read handwritten info, and to use that AI engine to deliver better taxpayer
value, to deliver better outcomes, and deliver better patient safety. Michael BrodieChief Executive at NHS BSA“ ”
The NHS prescription service processes
more than 54 million prescriptions per
month. Of these, 24 million are
electronic, but 30 million are paper
forms. The data from many of these
paper forms will need to be manually
keyed in by an operator.
Situation:
NHS surpassed expectations by exploring
the opportunities to streamline this
process through greater automation
using Microsoft AI and Machine Learning
technologies and leveraging the
computer vision technologies within its
operations.
Solution:
NHS took their forms which were
handwritten and which their current
systems couldn’t deal with and are getting
very high 90% of confidence from that
data. The data captured and the wealth of
data held by NHS BSA could drive further
intelligence-led improvements.
Impact:
BusinessServices
Authority
Read story here
Microsoft confidential. Internal use only.
JFK Files - Microsoft AI Lab
Microsoft confidential. Internal use only.
Full Lifecycle
Management (MLOps)
Responsible MLOpen and
interoperable
For all
Skill levels
Microsoft confidential. Internal use only.
AI Maturity Model Assessment
AI Business School
Azure AI Platform