Conoce más sobre poder de la Inteligencia Artificial y Aprendizaje Automático, así como sus aportes a los diferentes sectores en esta presentación que acompañó a la conferencia del Mtro. Roberto D. De La Mora, CSU Lead & CTO de Microsoft México, en el marco del XXVII edición del Congreso de la Industria de Alta Tecnología.

1. Artificial Intelligence &
Machine Learning
In Action
Roberto D. De La Mora
CTO & Customer Success Lead
Microsoft Mexico

2. Artificial intelligence (AI)

3. Humans + artificial intelligence

4. Microsoft Research

5. AI innovation

6. Feature name value
Objects skateboard, person
Tags
skating, snowboarding, sports
equipment, person, roller skating,
boardsport, man, outdoor
Description a young man riding a skateboard
Image format jpeg
Image dimensions 462 x 600
… …

8. seismic shift

12. Optimize
operations
Transform
products
Engage
customers
1
Data
Capture digital signal across business
2
Intelligence
Connect and synthesize data
3
Action
Improve business outcomes
Empower
employees
Data
Data +
intelligence
The digital feedback loop

13. Optimize
operations
Transform
products
Engage
customers
Empower
employees
The digital feedback loop
1
Data
Capture digital signal across business
2
Intelligence
Connect and synthesize data
3
Action
Improve business outcomes
Data +
intelligence

14. Microsoft Azure AI

15. Artificial Intelligence in Action
Empowering
People
Responsible
AI
Meaningful
Innovation

16. Empowering
People
Responsible
AI
Meaningful
Innovation

17. AI-powered
organization
Purpose
and impact
AI-Ready
culture
Put Meaningful AI into action

18. Cognitive Services

19. Cognitive Services Application

20. Text Analytics for Health

22. Cognitive Services Application

23. Vision

24. Vision

26. Microsoft AI in Action
Responsible
AI
Meaningful
Innovation
Empowering
People

27. Microsoft’s AI approach
Responsible
AI
Meaningful
Innovation
Empowering
People

28. “We are pursuing AI so that
we can empower every
person and every institution
with tools of AI so that they
can go on to solve the most
pressing problems of our
society and our economy.”
Satya Nadella

29. Bring it
all together
Get your people
AI-Ready
AI for all
employees
Empower everyone to Put AI into Action

30. Turning sketches into Apps with AI

31. Cognitive Services Application

32. Decision

33. Cognitive Services Application

34. Speech transcription
Before

35. Microsoft AI in Action
Empowering
People
Meaningful
Innovation
Responsible
AI

36. Microsoft’s AI approach
Empowering
People
Meaningful
Innovation
Responsible
AI

37. “People will not use technology
they do not trust. Our ability
to innovate therefore depends
on maintaining a greater level
of transparency.”
Brad Smith
President & Chief Legal Officer

38. Practices Tools
Principles
Put responsible AI into Action

39. Responsible innovation is top of mind
Most important considerations when investing in AI and Machine Learning technology
Requirements in investing
in Machine Learning
Data security and privacy
Transparency
Technical or consulting support
Governance and responsible use
45%
40%
12%
10%
Factors holding businesses
from implementing AI
Cost and decision criteria for AI Solutions
58%
Data quality, quantity, access
52%
Algorithms explainability and selection
43%
Skilled data science personnel
30%
Source: CSS Insight IT Decision Maker Workplace Technology Survey 2019
Source: IDC Whitepaper Leading Your Organization to Responsible AI , March 2020

40. Our
Principles
Privacy & Security
Transparency
Inclusiveness
Reliability & Safety
Fairness
Accountability

41. Governance
Tools
Practices
Principles
Reliability & Safety
Privacy & Security
Inclusiveness
Transparency
Accountability
Fairness
Putting AI principles into practice
Human-AI Guidelines
Conversational AI Guidelines
Inclusive Design Guidelines
Datasheets for Datasets
AI Fairness Checklist

42. Tools for responsible AI
Control
MLOPs
Understand
Interpret
Machine Learning
FairLearn
Protect
Homomorphic
Encryption
Differential
Privacy
Presidio Confidential
Machine Learning

43. Responsible AI Resource Center
Centralized resource for practitioners
to put responsible AI into action across
the development lifecycle
Guidelines and practices to help anticipate
and address potential issues
Tooling innovation to help you understand,
protect, and control AI models
Insights and perspectives from leading
experts from across Microsoft
https://aka.ms/rairesources

44. Microsoft AI in Action
Empowering
People
Meaningful
Innovation
Responsible
AI

45. Why AI Now? Technology has always been a force multiplier
for change especially in challenging times.
AI is at the forefront of helping organizations
navigate the new reality and thrive.

46. Innovation and business transformation are linked
130
120
110
100
90
80
70
60
50
40
30
20
10
0
-10
-20
-30
2017 2020 2025 2030
3

48. Adapt and respond
in real time
Work around disruptions to
maintain business continuity
Help employees stay
productive
Respond
to realities
Charting a path forward and navigating it
Plan
what’s next
Reimagine
what’s possible
Adapt and optimize
business processes
Focus on minimizing risk and
increase cost efficiencies
Enhance customer service
and tailor the experience
Uncover new opportunities
to push past business
as usual
Connect AI to business
outcomes
Minimize risks in times
of change

49. AI Business School
• Case studies
• Thought leadership videos
• Practical guides
• Executive insight videos
• Technology talks
1.9M+ visitors
190+ countries
640% engagement
4.7/5.0 average rating
aka.ms/aibs
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