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INTRODUCTION
• From Aberdeen, Scotland
• 5th year at Nintex
• Spend three years at OBS as Solution Specialist
• Built my first Nintex workflow for BP Angola
 Service desk case management in SharePoint
Chris Ellis
Manager, Technical Evangelism, APAC
https://www.linkedin.com/in/nintexellis/
@ce1906
ERP
Legacy
Systems
Office
Apps
CRM
The
Nintex
Process
Platform SharePoint
& Portals
Collab.
Apps
Storage
LoB Apps
WebApp
s/ APIs
Documents
2
3
Map & Manage
Processes
1
Emotion Speaker Recognition
Speech
Custom RecognitionComputer Vision
Face
Video
SearchSpeech Language KnowledgeVision
Linguistic Analysis
Language
Understanding
Bing Spell Check
Entity Linking
Knowledge
Exploration
Academic
Knowledge
Bing
Image Search
Bing
Video Search
Bing
Web Search
WebLM
Text Analytics Recommendations
Bing
Autosuggest
Bing
News Search
Translator
What online customers are
most likely to visit the
dealership?
Who are my most valuable
customers and what are they
likely to buy?
What customers are
likely to leave and why?
Operations and
workforce
Sales and marketing Finance and risk
Customer and
channel
Which payments need to
go to a human collector to
pursue?
What fraudulent behavior
requires follow up?
What customer needs a
salesperson to call on
them?
What product(s) is this
customer most likely to buy
next?
What demographic is
my most valuable?
How can I predict the loads
on my energy grids so I can
balance?
How can I heat and cool my
buildings based on usage
and weather?
How can I optimize the
productivity of my field
agents?
How can I stock my trucks
appropriately for the day
and week?
How can I fix equipment
proactively before it fails?
What marketing or sales
motion leads to the most
revenue?
Emotion Speaker Recognition
Speech
Custom RecognitionComputer Vision
Face
Video
SearchSpeech Language KnowledgeVision
Linguistic Analysis
Language
Understanding
Bing Spell Check
Entity Linking
Knowledge
Exploration
Academic
Knowledge
Bing
Image Search
Bing
Video Search
Bing
Web Search
WebLM
Text Analytics Recommendations
Bing
Autosuggest
Bing
News Search
Translator
- Text Analytics provides natural language processing over raw text for sentiment analysis, key phrase extraction
and language detection. Includes four main functions: sentiment analysis, key phrase extraction, language
detection, and entity recognition.
Sentiment LanguageKey Phrase Entity
Analyse raw text
for clues about
positive or
negative
sentiment. API
returns a score
between 1 and 0.
Extract key
phrases to
identify main
points.
Detect which
language input
text is written in
for up to 120
languages.
Identify and
categorise entities
such as people,
places,
organisations,
date/time,
quantities,
percentages,
currencies. Linked to
more information on
the web
• Returns a numeric score between 0 and 1
• Scores close to 1 indicate positive sentiment
• Scores close to 0 indicate negative sentiment
• A score of 0.5 indicates lack of sentiment (e.g. a factoid statement)
• Request body JSON in the format: ID, text, language
• E.g.
{
“documents”: [
{
“language”: “en”,
“id”: “1”,
“text”: “Digital Workplace Conference Australia is a great place to learn
and collaborate. It’s awesome and so is Sydney”
},
]
}
Demo…
Post to a Yammer group
Analyse comments using Azure Cognitive Services
Store in SharePoint Online
Email IF negative sentiment
Intelligent Client
Automation
Demo
The Challenge…
Safalo Realty leases and manages commercial office space
They provide managed Information Systems services
Challenge: Resource constrained; struggle to respond quickly
Need: A solution that automates this process, allowing them to
provide world-class service with minimal staff.
The Solution…
A comprehensive Intelligent Process Automation solution
Connecting Microsoft Systems: Azure Cognitive Services,
Dynamics, Office365 (Teams, OneDrive)
Product Capabilities: Advanced Workflow, Connectors, Modern Forms,
Mobile App, DocGenTM, Process Intelligence
Built without a single line of code
Providing differentiated value for the end customer
Hector
Office Manager
Adventure Works
Jane
Vice President,
Enterprise Accounts
Safalo Realty
Richard
IS Manager
Properties
Safalo Realty
• Detect and compare human faces
• Organise images into groups based on similarities
• Identify previously tagged people in images
• Run locally on-premises or in the cloud
Verification EmotionDetection
Check the
likelihood that
two faces belong
to the same
person. The API
will return a
confidence score
of how likely it is
that the two faces
belong to one
person.
Detect one or more
human faces in an
image and get back
face rectangles for
where in the image
the faces are, along
with face attributes
that contain
machine learning-
based predictions of
facial features.
Detect which
language input
text is written in
for up to 120
languages.
Demo…
Register a Face – whitelist / blacklist
Store in cloud - OneDrive
Analyse group photo and refer to whitelist/blacklist
Alert if Face found
https://www.nintex.com
https://www.nintex.com/trial
https://Learn.Nintex.com
https://community.nintex.com
https://azure.microsoft.com/en-
au/services/cognitive-services/text-analytics/
https://azure.microsoft.com/en-
au/services/cognitive-services/face/
Question and Answer
Chris Ellis Nintex O365 Saturday Adelaide 2019
Chris Ellis Nintex O365 Saturday Adelaide 2019

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Chris Ellis Nintex O365 Saturday Adelaide 2019

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  • 3. INTRODUCTION • From Aberdeen, Scotland • 5th year at Nintex • Spend three years at OBS as Solution Specialist • Built my first Nintex workflow for BP Angola  Service desk case management in SharePoint Chris Ellis Manager, Technical Evangelism, APAC https://www.linkedin.com/in/nintexellis/ @ce1906
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  • 8. Emotion Speaker Recognition Speech Custom RecognitionComputer Vision Face Video SearchSpeech Language KnowledgeVision Linguistic Analysis Language Understanding Bing Spell Check Entity Linking Knowledge Exploration Academic Knowledge Bing Image Search Bing Video Search Bing Web Search WebLM Text Analytics Recommendations Bing Autosuggest Bing News Search Translator
  • 9. What online customers are most likely to visit the dealership? Who are my most valuable customers and what are they likely to buy? What customers are likely to leave and why? Operations and workforce Sales and marketing Finance and risk Customer and channel Which payments need to go to a human collector to pursue? What fraudulent behavior requires follow up? What customer needs a salesperson to call on them? What product(s) is this customer most likely to buy next? What demographic is my most valuable? How can I predict the loads on my energy grids so I can balance? How can I heat and cool my buildings based on usage and weather? How can I optimize the productivity of my field agents? How can I stock my trucks appropriately for the day and week? How can I fix equipment proactively before it fails? What marketing or sales motion leads to the most revenue?
  • 10. Emotion Speaker Recognition Speech Custom RecognitionComputer Vision Face Video SearchSpeech Language KnowledgeVision Linguistic Analysis Language Understanding Bing Spell Check Entity Linking Knowledge Exploration Academic Knowledge Bing Image Search Bing Video Search Bing Web Search WebLM Text Analytics Recommendations Bing Autosuggest Bing News Search Translator
  • 11. - Text Analytics provides natural language processing over raw text for sentiment analysis, key phrase extraction and language detection. Includes four main functions: sentiment analysis, key phrase extraction, language detection, and entity recognition. Sentiment LanguageKey Phrase Entity Analyse raw text for clues about positive or negative sentiment. API returns a score between 1 and 0. Extract key phrases to identify main points. Detect which language input text is written in for up to 120 languages. Identify and categorise entities such as people, places, organisations, date/time, quantities, percentages, currencies. Linked to more information on the web
  • 12. • Returns a numeric score between 0 and 1 • Scores close to 1 indicate positive sentiment • Scores close to 0 indicate negative sentiment • A score of 0.5 indicates lack of sentiment (e.g. a factoid statement) • Request body JSON in the format: ID, text, language • E.g. { “documents”: [ { “language”: “en”, “id”: “1”, “text”: “Digital Workplace Conference Australia is a great place to learn and collaborate. It’s awesome and so is Sydney” }, ] }
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  • 14. Demo… Post to a Yammer group Analyse comments using Azure Cognitive Services Store in SharePoint Online Email IF negative sentiment
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  • 17. The Challenge… Safalo Realty leases and manages commercial office space They provide managed Information Systems services Challenge: Resource constrained; struggle to respond quickly Need: A solution that automates this process, allowing them to provide world-class service with minimal staff.
  • 18. The Solution… A comprehensive Intelligent Process Automation solution Connecting Microsoft Systems: Azure Cognitive Services, Dynamics, Office365 (Teams, OneDrive) Product Capabilities: Advanced Workflow, Connectors, Modern Forms, Mobile App, DocGenTM, Process Intelligence Built without a single line of code Providing differentiated value for the end customer
  • 19. Hector Office Manager Adventure Works Jane Vice President, Enterprise Accounts Safalo Realty Richard IS Manager Properties Safalo Realty
  • 20. • Detect and compare human faces • Organise images into groups based on similarities • Identify previously tagged people in images • Run locally on-premises or in the cloud Verification EmotionDetection Check the likelihood that two faces belong to the same person. The API will return a confidence score of how likely it is that the two faces belong to one person. Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes that contain machine learning- based predictions of facial features. Detect which language input text is written in for up to 120 languages.
  • 21.
  • 22. Demo… Register a Face – whitelist / blacklist Store in cloud - OneDrive Analyse group photo and refer to whitelist/blacklist Alert if Face found
  • 23.

Editor's Notes

  1. There are often hundreds of business systems and applications that power enterprises today. The challenge is that while there is incredibly powerful data found in each, connecting them together with the people who need get mission-critical work done is elusive. *CLICK* This is where Nintex comes in. *CLICK* First, you need to document how your processes actually are being conducted. This is best documented by those who engage with them regularly. This is where Nintex Promapp process management comes in. Empowering employees to capture what they do and collaborate with others to ensure that resulting documentation is consistently up-to-date and suggestions for improving them are routed to those who can make the necessary changes. *CLICK* After you know what your processes are and how they are being conducted, it’s time to automate them. We provide: Forms and mobile application tools to collect data from participants After data and input is collected, you are set to automate the processes through either: robotic process automation, which enables you to automate manual, repetitive tasks, and workflow, which is best for decision-based steps and orchestrating the process from start to finish For organizations which are reliant on documents, we offer the ability to create data-driven documents as well as the power of eSignatures *CLICK* But we all know that this is not the end of our process quest. Processes changes, bottlenecks are uncovered, and optimization potential are revealed. We provide advanced process-level reporting noting how the processes are running and where they can be streamlined. *CLICK* Fundamental to all of this is the ability to connect to these business resources and systems. The Nintex Process Platform easily connects to not only everything listed here, *CLICK* …but also webapps and systems that take advantage of APIs.
  2. Emotion – a strong feeling deriving from one’s circumstances, mood, or relationships with others. We all have them. You’re probably feeling an emotion right now. Could be confusion – what language is this guy speaking. Could be optimism or enthusiasm about what you’ll learn today at JuiceIT. Maybe you’re proud that your organisation has chosen you to attend the conference and report back. You might be happy that you’ve got a day off work! Or perhaps you’re sad and disappointed that the Melbourne weather couldn’t turn it on for a day out of the office…. You are asked how you’re feeling dozens of times a day. How are you today? Even in airports now we’re asked ‘how do you feel about the service today?’ I have no idea what remedial action they actually put in place with those survey, I’ve practically worn out the Very Negative button at Melbourne Airport on my own. There have been songs written about emotions for decades that when we hear them bring us back to our own feelings of emotion from a time we thought we’d forgot, books that evoke emotion through the written word and movies where emotion is pivotal to the plot, some can leave you emotionally drained! Emotion forms a significant part of our lives in and out of work and can have a detrimental effect on how successful specific processes operate in a timely and efficient manner.
  3. If we move on slightly from 5 or 6 core emotions, we begin to see how this landscape may be confusing in scenarios that revolve around process and the workplace. There are key job roles emerging within organisations that revolve solely around dealing with some of these emotions from our customers and our workforce. HR or People and Culture Departments that use tools like Officevibe to gauge the overall sentiment of a team or organisation can put effective plans and strategies in place as they see trends develop to the positive or negative swing. Customer Success departments who’s core responsibility is keeping a customer swing in the high positive. A concierge white glove treatment used when feedback dips to the negative so as to address it quickly before it becomes a viral negativity. It should be important to all these functions in an organisation to be able to feel the pulse of sentiment almost as an organic reading constantly, rather than seek it out in roundtables and scheduled feedback forms. These methods can often be very clinical in nature, evoking an almost white coat syndrome from participants, leading to a false sentiment perception. You can feel pressured into giving an inflated or pacified response.
  4. So what if we could remove the human element and capture that sentiment pulse using a machine. An agnostic member of the organization who’s purpose in life is to analyse and categorise your emotions and use them to augment the job roles and department functions we mentioned earlier. One such capability is Azure Cognitive Services. Azure Cognitive Services are APIs, SDKs, and services available to help build intelligent applications without having direct AI or data science skills or knowledge. Azure Cognitive Services enable developers to easily add cognitive features such as emotion and video detection; facial, speech, and vision recognition; and speech and language understanding – into their applications. The goal of Azure Cognitive Services is to help developers create applications that can see, hear, speak, understand, and even begin to reason. The catalog of services within Azure Cognitive Services can be categorized into five main pillars - Vision, Speech, Language, Knowledge and Search.
  5. Look at cognitive services holistically.
  6. What use cases can we apply this to.
  7. Focus today
  8. https://azure.microsoft.com/en-au/services/cognitive-services/text-analytics/
  9. Verification - Check the likelihood that two faces belong to the same person. The API will return a confidence score of how likely it is that the two faces belong to one person. Detection - Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes that contain machine learning-based predictions of facial features. The face attribute features available are: Age, Emotion, Gender, Pose, Smile and Facial Hair, along with 27 landmarks for each face in the image. Emotion - The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image, such as anger, contempt, disgust, fear, happiness, neutral, sadness and surprise. These emotions are understood to be communicated universally across cultures with particular facial expressions.