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The Intelligence Infusion in SharePoint
1. The Intelligence Infusion in Modern SharePoint
Ep. 06/19
A story of the journey from «Your intranet in
your pocket» to the «Intelligent Intranet».
This is not your
moms on-prem
SharePoint
anymore.
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2. @marcelhaasIO|#SPS_London
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Key Topics
SharePoint
Microsoft AI Platform
Cognitive Services
Azure Machine
Learning
Auto Machine
Learning
Machine Teaching
Microsoft Bot
Framework
Microsoft Search
Microsoft Teams
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Session Overview
0 5 10 15 20 25 30 35 40 45
Get inspired to build more intelligent workplace
experiences
Learn about Microsoft Search Capabilities
Learn what makes SharePoint Intelligent
Get an overview of the Microsoft AI Platform
Learn what's AI and what's not
Introduction
Content / Learnings
3. Marcel Haas
Solution Architect
Founder and COO of CNEXT
Founder of EMMO
SharePoint friend since 2006.
Currently in love with all things
serverless, intelligent and thriving
to make SharePoint more
intelligent.
Sorry for my Swinglish language ;-)
Tech Events Speaker / Blogger
Live Demo Fanatic
Community Lover
Modern Workplace Architect, not
Mathemagician or statistics Jedi.
Father, Pet zoo owner, gardener and
housewife
About
@marcelhaasIO|#SPS_London
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5. What’s Artificial Intelligence?
@marcelhaasIO|#SPS_London
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Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
These processes include learning (the acquisition of information and rules for using the information), reasoning
(using rules to reach approximate or definite conclusions) and self-correction.
AI in visualization is often related to robots, but actually it’s mostly open source software and algorithms.
According to Arend Hintze, AI can be categorized in different types:
Type 1: Reactive
machines
(Chess / Watson)
Type 2: Limited memor
()
Type 3: Theory of mind Type 4: Self-awareness
8. What’s NOT AI?
@marcelhaasIO|#SPS_London
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AI is not taking over the world or humanity yet, but we need to watch and guide it’s potential.
Marketing used the term “AI” often wrong. Look let’s look at some examples to understand the difference:
Machine LearningSimple SW Logic User Reality
9. Cognitive computing systems use
computerized models to simulate the
human cognition process to find solutions
in complex situations where the answers
may be ambiguous and uncertain.
While the term cognitive computing is
often used interchangeably with artificial
intelligence (AI), the phrase is closely
associated with IBM's cognitive computer
system, Watson.
https://searchenterpriseai.techtarget.com/definition/cognitive-computing
Cognitive Computing
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13. New Cognitive Services
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Preview - Cognitive service APIs:
Personalizer – creates personalized user experiences
Conversation transcription – transcribes in-person meetings in real-time
Form Recognizer – automates data-entry
Ink Recognizer – unlocks the potential of digital inked content
Preview - Container support for businesses AI models at the edge and closer to the data:
Speech Services (Speech to Text & Text to Speech)
Anomaly Detector
Form Recognizer
Generally available:
Neural Text-to-Speech
Computer Vision Read
Text Analytics Named Entity Recognition
15. Automated ML democratizes the machine
learning model development process, and
empowers its users, no matter their data
science expertise, to identify an end-to-end
machine learning pipeline for any problem.
With automated machine learning, you'll
accelerate the time it takes to get production-
ready ML models with great ease and efficiency.
80% of a data scientists job is to do data
classification, preparation and infeed. Let’s help
them, so they can focus on their core skills.
Automated Machine Learning
@marcelhaasIO|#SPS_London
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16. AI and Cognitive Computing can do some magic,
but we are at an early stage of broader adoption
and systems need more data to become more
accurante.
What most of us already do is somehow inputing
data input algorithms. With our digital signals,
behaviour and traces, we are all part of a
machine teaching team.
Machine Teaching
@marcelhaasIO|#SPS_London
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...and now we need to
help them to make the
models more
accurate??! Seriously?
17. SharePoint
Content
• Deep Understanding
• Intelligent Surfacing
• Personalized Experiences
• SharePoint Home Sites
• SharePoint App
Search
• Microsoft Search (Search + AI)
• Cognitive Skills
• Prebuilt AI / Auto ML
• Machine Teaching
• Bookmarks, Locations, QnA
Conversational AI
• Virtual Assistants / Bots
• Natural Language Understanding
• Text/Voice/Speech/Video
• Cognitive Skills
• Prebuilt AI, Auto ML
Custom AI
• Custom Machine Learning
• Advanced Analytics
• Interactive Dashboards
• Data Driven Notifications
• Auto ML / Machine Teaching
What makes SharePoint «intelligent»?
Azure AI Platform
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Microsoft Graph
20. Soon: SharePoint Home Sites
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SharePoint home sites are an intelligent, integrated
employee experience—a landing page—for your
organization that:
Connects the workplace with Microsoft
Search and megamenu navigation.
Shares relevant news and content to each user based
on their role and place in the organization.
Engages employees with conversation and compelling
video powered by Yammer and Microsoft Stream.
Powers individual productivity with personalized
content, information, and navigation
28. Demo of your choice!
@marcelhaasIO|#SPSLondon
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Bike Rental Forecast
*Mandatory
Emotion and Face
Detection
Document Auto
Classification
Blockchain Integration Chicken Detector Sexy Row Formatting
