It seems like every advertisement you see or hear has something to do with Artificial Intelligence or Machine Learning. The truth is, not everyone knows how to get started or use all the great tools we see on TV and the web. And like most things, figuring out how to actually use AI can be daunting; there are not only lots of AI tools out there but also different types.
So what tools are available and how do you leverage them? The good news is that AI and ML tools are literally on-line and ready to be used by pretty much anyone. In this webinar, we discuss:
- Using Microsoft Azure as a Platform, the types of AI tools out there and the differences between them;
- Identifying a plan to figure out which tools you may need;
- How to establish AI capabilities in your own firm.
Ride the Storm: Navigating Through Unstable Periods / Katerina Rudko (Belka G...
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Webinar: Practical Ways to Introduce AI into Your Business
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April 25, 2019
Webinar:
Practical Ways to Introduce AI into Your Business
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Housekeeping
⢠Webinar is being recorded
⢠45 minute session
⢠15 minute Q&A session at the end
⢠Send in your questions!
⢠Type your questions in the Questions
Pane of the Goto Webinar Panel
⢠Slides and recording will be emailed
after the webinar
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About Dale
Dale Tuttle
dtuttle@withum.com
Partner,
Practice
Leader
15+ years experience in IT Consulting
IT Executive
Interests:
Successfully moving firms to the
cloud
Fun Fact: Iâm a reformed professor
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About Daniel
Daniel Cohen-Dumani
@dcohendumani
dcohendumani@withum.com
Partner
25+ years of Digital Transformation
Expertise with Office 365, SharePoint,
Dynamics and Azure, AI and Machine
Learning
Interests: Artificial Intelligence
and Machine Learning;
Productivity in the Modern
Workplace
Started working with SharePoint
before anyone could even spell it
Was a private pilot in my early
days
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Microsoft MVPs
On Staff
4
250+
Microsoft Cloud
Deployments
(Office 365, Azure, Dynamics, Power BI)
50+Consultants
(Project Managers, Business
Analysts, Developers, Data
Scientists, Engineers, Software
Developers, User Experience
Designers)
16Years as:
Microsoft Gold
Partner
About Withum Digital
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What to Expect From Todayâs Webinar
⢠Introduction to Artificial Intelligence and AI Tools in the Azure Cloud
⢠Sample use cases
⢠Demonstration
Agenda
⢠Learn where you can start applying Artificial Intelligence to fuel your Digital
Workplace
⢠Actionable next steps
Objectives
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Terminology
Artificial Intelligence âAI"
Short answer: computer systems that can perform
intellectual tasks normally performed by humans
Machine Learning âMLâ
A field of computer science that deals with giving
computer systems the ability to learn without being
explicitly programmed
Virtual Agents (or âbots)â
Computer tools/services that help people answer
questions and find information with little direct human
intervention
Robotic Process Automation âRPAâ
Automation of recurring tasks using AI to improve the
process and speed delivery of recurring tasks.
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POLL #1
Are you currently using AI tools?
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POLL #2
Are you already using Microsoft 365?
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Some Context: Gallup Survey
⢠Americans are torn over the promise of artificial intelligence, a
new poll showed Wednesday, expressing broad optimism about
the emerging technologies but also fearing their negative
impactsâincluding job losses.
⢠79 percent of Americans say artificial intelligence has had a
"mostly positive" or "very positive" impact on their lives thus
far.
⢠At the same time, 73 percent said they expect the increased
use of AI will eliminate more jobs than it creates and 63
percent predicted that new technologies and smart machines
would widen the gap between rich and poor.
Source: Gallup survey
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We have now reached another inflection
point
A TIME WHERE BUSINESS CAN LEVERAGE THE ADVANCES IN
COMPUTER PROCESSING, ARTIFICIAL INTELLIGENCE, AND
NETWORKED COMMUNICATIONâŚ.
THE NEXT INDUSTRIAL REVOLUTION
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4 Areas Where AI is Commonly Deployed
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Virtual Agents: Beginning Your AI Journey
A great place to start!
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Virtual Agents/Bots
ďźSame Thing!
ďźEffective method to interact with
existing content and data
ďźAugment your human staff
ďźProbably the easiest way to get
started with AI tools
ďźTools to create them are
commercially available
ďźThis is truly transformative
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Whatâs involved in building a Virtual Agent
or bot?
{ Your Code }
Direct Line Protocol
REST Endpoint
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Why is this Important?
⢠The tools to build Virtual Agents are
accessible to everyone (e.g. Microsoft
Azure)
⢠Advanced capabilities are at your
fingertips (speech, vision, and text
understanding)
⢠Low-Code and No-Code Tools speed
development and reduce costs
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Azure Machine Learning
Cognitive Services
Bot Service
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Typical Conversational Bot Architecture
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Advanced Scenarios â Microsoft Approach
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Vision Speech KnowledgeLanguage LabsSearch
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Steps to
deploy your
own bots
Know why you need a bot
Understand your existing data,
content, and IT frameworks
Develop a basic understanding
of key concepts and tools (youâll
probably need help)
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Benefits of AI and Bots
ďźAllows your people to focus on higher-value tasks
ďźLets automation do recurring tasks for you
ďźBrings an intuitive interface to your existing content and
data
ďźCan significantly improve employee satisfaction with their
digital workplace experience
ďźNever been easier to build and deploy!
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Next Steps
Digital Workplace Today Blog
http:/digital.withum.com/blog
Bot Proof of Concept
We will show you the benefits of
embracing AI and Bots.
Sign Up Here
Editor's Notes
THIS IS OUR NEW ABSTRACT FOR THIS WEBINAR:
It seems like every advertisement you see or hear has something to do with Artificial Intelligence or Machine Learning. The truth is, not everyone knows how to get started or use all the great tools we see on TV and the web. And like most things, figuring out how to actually use AI can be daunting; there are not only lots of AI tools out there but also different types.
So what tools are available and how do you leverage them? The good news is that AI and ML tools are literally on-line and ready to be used by pretty much anyone. Join Dale Tuttle for this webinar as he talks about:
Using Microsoft Azure as a Platform, the types of AI tools out there and the differences between them;
Identifying a plan to figure out which tools you may need;
How to establish AI capabilities in your own firm.
How many of you are using AI tools in your business?
Already using some, but need to know more
Not usingâŚbut leadership wants to know how to use AI
No usingâŚno plans.
Donât know.
Are you already using Office 365?
Yes
No
Donât Know
Advanced in computer processing, growth in data, new ways to leverage and process intelligence. ALGORYTHM
AI is not new. Weâve been in a journey for decades to augment human capabilities in one of those three areas.
Think about the first calculators, which could do better than humans even with mechanical options like the Grant calculator in 1877.
Electronics then opened a new frontier for AI. Natural experiences like Voder, a machine able to mimic human voice. Or first attempts on reasoning machines.
Then computers, bringing graphical user interfaces, voice recognition or self driving cars as early as 1994.
Then why are we talking about AI now? The progress all these decades has been linear, with even some setbacks. However, three things are dramatically changing the speed of innovation:
Advances in AI algorithms, in particular deep learning with neural networks.
Huge compute power available in the cloud.
Big data, able to train these algorithms with huge sets of data.
A bot is an app that users interact with in a conversational way using text, graphics (cards), or speech. It may be a simple question and answer dialog, or a sophisticated bot that allows people to interact with services in an intelligent manner using pattern matching, state tracking and artificial intelligence techniques well-integrated with existing business services.
You can choose to use your favorite development environment or command line tools to create your bot in C# or Node.js. Microsoft provides tools for various stages of bot development that you can use to build your bot to get you started.
More than ever, the ability to create Virtual Agents (bots) is literally at your fingertips. Microsoft Azure provides a whole framework to build, train, and deploy Virtual Agents with advanced capabilities.
Microsoft has the most powerful bot platform combined with customizable Cognitive Services. You can easily build powerful agents to streamline work processes and integrate in their existing data estate â whether on premises, edge, cloud or hybrid. Azure Machine Learning enables enterprises to further customize their solutions based on their unique needs.
Bot Service
Azure Bot Service provides tools to build, test, deploy, and manage intelligent bots all in one place. Through the modular and extensible framework provided by the SDK, developers can leverage templates to create bots that provide speech, language understanding, question and answer, and more.âŻ
Cognitive Services
Cognitive Services are a set of APIs, SDKs and services available to developers to make their applications more intelligent, engaging and discoverable. Cognitive Services expands on Microsoftâs evolving portfolio of machine learning APIs and enables developers to easily add intelligent features â such as emotion and video detection; facial, speech and vision recognition; and speech and language understanding â into their applications. Microsoftâs vision is for more personal computing experiences and enhanced productivity aided by systems that increasingly can see, hear, speak, understand and even begin to reason.
Azure Machine Learning
Machine learning enables computers to learn from data and experiences and to act without being explicitly programmed. Customers can build Artificial Intelligence (AI) applications that intelligently sense, process, and act on information - augmenting human capabilities, increasing speed and efficiency, and helping organizations achieve more.
Microsoft Cognitive Services are a set of APIs, SDKs and services available to developers to make their applications more intelligent, engaging and discoverable. Microsoft Cognitive Services expands on Microsoftâs evolving portfolio of machine learning APIs and enables developers to easily add intelligent features â such as emotion and video detection; facial, speech and vision recognition; and speech and language understanding â into their applications. Our vision is for more personal computing experiences and enhanced productivity aided by systems that increasingly can see, hear, speak, understand and even begin to reason.
Use Cognitive Services to solve business problems
Vision - Image-processing algorithms to smartly identify, caption and moderate your pictures.
Speech - Convert spoken audio into text, use voice for verification, or add speaker recognition to your app.
Language - Allow your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want.
Knowledge - Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search.
Search - Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call.
Labs - Labs provides developers with an early look at emerging Cognitive Services technologies.