This session was presented at the LSA’s Localogy event in New York City on October 11, 2018.

1. Localogy NYC | Master the Art of Local Marketing
What to expect:
AI and the automation of Digital Marketing
Sana Khan
Data, Advanced Analytics & AI
Microsoft | NYC

2. Sana Khan
Data, Analytics & AI
Specialties: Media, Advertising, Marketing, Telco
Microsoft | NYC
Email: sana.khan@microsoft.com
Web: LinkedIn.com/in/sanaaftabkhan

3. AI and automation | level-set
Microsoft AI | ethics, principles, approach
AI trends | differentiators in digital marketing
AI solutions | tech and industry approaches to AI
Q & A | discussion and close
Content

4. “We propose that a 2-month, 10-man study
of artificial intelligence be carried out during
the summer of 1956 at Dartmouth College”
Proposal which introduced the term “Artificial Intelligence” by John McCarthy, Marvin Minsky, Nathaniel Rochester and Claude Shannon
AI | been somewhere near here before

5. AI | what it includes

6. Artificial (General) Intelligence
(simulating human intelligence)
Robotics
(hardware, mechanics)
Scary, but far in the future
Less scary, practical, now
Computer vision
(automatic
image analysis)
Machine learning
(tools/algorithms)
Deep learning
(one type of
ML algorithm)
AI | how far along

7. AI | creativity and authenticity

9. Microsoft’s mission
Empower every person
and every organization
on the planet
to achieve more

10. Empathy
the ability to understand and share the feelings of another
Empathy
Growth Mindset

11. Microsoft’s Soul: Ethics in transformation with AI
Visualize and
interact with 3D
data; improve
ability to
innovate,
collaborate
and make
critical business
decisions quickly.

12. Intelligent Experiences
Office 365
Dynamics 365
Windows
Comprehensive Data
Microsoft 365
Predictive Platform
Azure AI
Microsoft AI
Transform business with artificial intelligence
Amplify human ingenuity with intelligent technology

13. LabsKnowledgeLanguage SearchVision Speech
Microsoft Cognitive Services

16. AI trends | differentiators in digital marketing
PRE-BUILT AI and CONVERSATIONAL AI: Solutions with Cognitive + Bots + UIs
1. Image classification, analysis and search with customer-branded UI
2. Text and document analytics
3. Content analysis and moderation
4. Video identification and analytics: content, creator, viewer(s)
5. Voice analytics
6. Prediction

18. PRE-BUILT AI and CONVERSATIONAL AI: Business use cases
AI-enriched Customer 360, Marketing Analytics, Marketing Science
Cognitive Services + Bots + Business Apps + Microsoft graphs + Office365 + Teams
AI for Marketing, Advertising and Sales teams – in Advertiser across industries
Bing+Azure: Bing Search + Cognitive Services + Azure | e.g. MS + Adobe + SAP
AI for Brand Engagement
Sentiment analysis, e.g. behavior, engagement and brand analytics
AI-infused Ad Hoc Analytics and Visualizations
BI + AI (predictive modeling with recommendations based on patterns)
AI for Human Capital Management (e.g. B2B and B2C ecosystem)
Business Apps + Bots + Cognitive Search + Modern Workplace
AI trends | differentiators in digital marketing

19. CUSTOM AI: machine learning, deep learning
 AI-as-a-Service bureau
 Packaged AI+analytics
 Predictive analytics
 Industry-specific
 Blockchain+AI for
 Data monetization LoB development
AI trends | differentiators across business ecosystem

20. AI solutions | Microsoft AI across everything
Application and
DB Modernization
Data on
IaaS and PaaS
DW Modernization
IoT
stream, batch, (N)RT data
2-way connectivity
Data Insights
Analytics
(visual, basic, advanced)
batch, real-time, streaming
Cognitive Services & Bots
Pre-built AI
Conversational AI
Custom AI
AI in
Business Apps
Dynamics365
PowerApps
Dynamics CRM
AI in
Modern Workplace
Office365
EMS
Windows
Devices
AI in Customer Ecosystem
Business and Functional use cases
Cross-industry
Cross-solution
Data & AI
AI across all servicesAI with Azure

21. Q & A | discussion and close

22. Sana Khan | sana.khan@microsoft.com