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Let’s Chat AI – And Not Just ChatGPT
Brian Pichman
Evolve Project
Evolve Project | Brian Pichman
2
AI
By now, most people have heard of ChatGPT as a conversational AI that can
create conversations and answer questions. This flashy technology has helped
introduce AI to the masses, yet this type of conversational AI has been around
for almost a while in various formats. This session shows some of the less-
known things you can do with AI, such as creating content for your
blog/website, creating videos, generating marketing material, tweets, and
more. Brian Pichman of the Evolve Project will share some access to technology
to let participants play and create AI content to bring back to their library.
Today we are exploring…
Welcome
What is Artificial Intelligence
the theory and development of computer systems able to perform tasks
that normally require human intelligence, such as visual perception,
speech recognition, decision-making, and translation between languages.
What is Machine Learning
Machine Learning is a subset of Artificial Intelligence that uses algorithms
and statistical models to allow a computer system to make decisions
around a specific task without explicit instructions; relying on patterns and
inference
Evolve Project | Brian Pichman
5
AI Can Prevent Thinks Like..
Evolve Project | Brian Pichman
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When talking about AI…
People will have one of two
reactions:
Evolve Project | Brian Pichman
7
“The Agenda”
Topics for Today
AI As A Tool
When introducing AI to the its
best to explain what it is…and
what it isn’t.
Impacts to Industries
How are we seeing AI Impact
different industries now?
Pulling it Together
How can we embrace AI and
move things forward?
Using AI
Many of us interact regularly
with some variant of Artificial
Intelligence.
Evolve Project | Brian Pichman
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AI is becoming more available to the masses; being incorporated into
our smart phones, our connected homes, and simple robots we
already use today such as Roomba. With more accessible cloud-
computing, open source, and the making community, this field will
rapidly expand.
More Widely Available
Using AI
“The development of full artificial
intelligence could spell the end of the
human race….It would take off on its own,
and re-design itself at an ever increasing
rate. Humans, who are limited by slow
biological evolution, couldn't compete,
and would be superseded.”— Stephen
Hawking
Evolve Project | Brian Pichman
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What makes up an intelligent system?
AI Components
Logic and Rules Based
Computer makes decisions
based on a decision tree,
logic rules, or a predefined
process with a calculated
result.
Pattern Based
(Machine Learning)
Computer learns overtime
by using data and algorithms
to detect patterns.
Deep Learning
Deep Learning is a subset of
Machine Learning that
enables the computer to
make decisions on its own.
Neural Networks
A neural network allows an
AI to make its own
conclusions, where a simple
pattern-only based AI must
rely solely on data. A neural
network allows deep
learning to function.
Pattern Based Intelligence -> currently exists with self driving cars, language translations,
movie recommendations etc.
Strong Artificial Intelligence -> (doesn’t yet exist)
• computers think at a level that meets or passes people (abstract thinking)
Artificial Intelligence Exists
Evolve Project | Brian Pichman
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Flash Light Examples
Understanding AI
If an ML algorithm makes an
inaccurate prediction, then the
engineer needs to correct. In DL,
the algorithms can determine on
their own if a prediction is accurate
or not.
Deep Learning
Allow machines to make to
their own accurate decisions
without intervention from
engineer
Neural Networks
If detects {dark} turn on {light}
Logic Rules
it’s performing a function with the
data given and gets progressively
better at that function
Machine Learning
Eventually, the system can
turn on the light with other
queues such as “I can’t see”
DL “Code”
Flashlight will turn on
automatically as it learns other
words for “dark” picking up on
phrases that contains the word
ML “Code”:
Evolve Project | Brian Pichman
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create an algorithm that is able to teach itself without any external help
Pattern Recognition
Deep Learning
Uses more complicated mathematical models to define
pictures content and speech
Self Learning
The advance machine learning
system makes decisions by
analyzing its own data and
making patterns
Learning on Examples
This method is used when a
machine learns through
examples. For instance, Google’s
automatic spam filtering learns
as users report spam.
Learning on Experience
The system learns from positive and negative
experiences.
Lets Chat AI - and Not Just ChatGPT
14
From Patterns to Automation
AI Models
The idea is that an algorithm will sift through the data, learn from it, and apply it to make a decision. This can be seen in any
recommendation type service. Machine Learning takes it a step farther by automating tasks; helping data security firms identify potential
threats or finance looking for favorable deals.
AI’s can be Transactional in which a question is asked and an answer is given, like a virtual assistant. AI’s can also be Automated in which
routine tasks such automatically taking trash out on garbage day.
Evolve Project | Brian Pichman
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• When editing or using filters in photos (do X to eyes and Y to ears)
• Identification of license plates from an image in a toll violation
• Facebook’s ability to identify and recommend faces in photos
• iPhone users can have their phone categorize people by facial
patterns – in which you then define their name
• Google’s Image Recognition
Examples
How we see AI In Everyday Life
Image Recognition
Think of how we can use facial imaging
to determine moods
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
17
You probably see this everyday if you use Siri, Google Home, or an
Echo Product.
Overtime or with training, a system can tailored results based on
identifying the user asking. For example, Google Home will provide
my personal driving times to work if it hears me ask “how long will it
take me to get to work” versus a friend asking who it has no data on.
Examples
How we see AI In Everyday Life
Voice Recognition
Think of how a system can respond
and remember a user based solely
on their voice
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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Helpful – AI
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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And How We Use It
Other Forms of AI
Optical Character Recognition
Think of how a picture of your license plate
allows a machine to translate that to text and
run a query to determine who violated a toll.
Also see this in scanners that can take an image
and convert this to text.
Consider how you can take a photo of another
language and have it translate to yours
Advance User Preferences
This is the concept of an AI providing solutions
based on historic user’s preferences and
comparing it to similar users.
Compare how Amazon or Netflix makes
recommendations based on your purchases or
views – or even how Amazon guesses when
you might run out of a specific product.
Sensory Data Analysis
Your wearables that detect heart rate for
instance can determine without user
intervention if you are working out and even
what kind of work out such as jogging or
bicycling.
Lets Chat AI - and Not Just ChatGPT
Lets Chat AI - and Not Just ChatGPT
Healthcare
Used in healthcare to identify and notice predictable
trends – such as having a machine look at charts to
recognize tumors sooner with more accuracy – or eyes to
determine stage of glaucoma
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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Good Read:
https://www.businessinsider.com/healthcare-artificial-intelligence-pitfalls-2019-3
Smart Homes
See how a home can alert when it sees a person versus an
animal or know that its going to rain tomorrow so no
need to water the grass today
Lets Chat AI - and Not Just ChatGPT
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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Inspiring AI’s
AI: AlphaGo
AlphaGo is the first AI to beat a
human in arguably the most
difficult game to master. AlphaGo
now teaches moves to trainees.
AI: ROSS
ROSS is an AI tool to make legal
research easier and faster
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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Run-away AI’s
Tay (Thinking About You)
Released on March 23 2016 via Twitter, Tay (as TayTweets
on Twitter) was designed to mimic the interactions of 19
year old girl through learned conversations on Twitter.
Users began tweeting pollitcally incorrect phrases to Tay,
and thus, Tay responded and answered with the learned
inappropriate behavior – as it was it was not taught what
the difference between Good Language and Bad Language
was.
Microsoft Artificial Chatter Bot
Evolve Project | Brian Pichman
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Run-away AI’s
Inspirobot.me
I am an artificial intelligence dedicated to generating
unlimited amounts of unique inspirational quotes for
endless enrichment of pointless human existence.
-- From their website
Happy Accidents
Evolve Project | Brian Pichman
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Logic and Rules Based
Challenges for AI
Training
Similar to having good data, an AI
might need to learn the correct
response for the correct situation or
identify dangers or inappropriate
interactions
Precision
The idea of garbage data in
garbage data out. If you
flood an AI with bad data and
don’t set the proper syntax or
thresholds you will get
incoherent results
Context
AI’s can struggle with understanding context. For
example, asking Siri ”call me an ambulance” may yield
“OK, from now on, I will call you Ambulance”
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
36
Books written by an AI
https://link.springer.com/book/10.1007/978-3-030-16800-1
Evolve Project | Brian Pichman
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AI Games
AI Image or Not: http://www.whichfaceisreal.com/
https://experiments.withgoogle.com/collection/ai
Evolve Project | Brian Pichman
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Activity
https://affinelayer.com/pixsrv/
Applying AI
Thoughts, Ideas, and More
How can you prepare people for these fields?
40
Skills For Learning
Understanding data and how to
read data sets is valuable
https://dzone.com/articles/ten-machine-
learning-algorithms-you-should-know-to
Math and Algorithms
Statistics
Learning how inputs of code
can interact physical parts
Hardware + Software
Robotics
Learning to code at a basic level
with syntax and flow; then
move to Python (most
common)
https://www.geeksforgeeks.org/top-5-best-
programming-languages-for-artificial-
intelligence-field/
Coding Languages
Coding
Learning this is a huge skill to
master, along with object
recognition
https://www.pyimagesearch.com/start-
here-learn-computer-vision-opencv/
How Do Computers See
Computer Vision
How can we onboard AI today?
41
Automations and Community
Receptionist
Allow for an interaction that’s
quick and frees up time for staff
for more complex and human
needed interactions
“Where’s The
Bathroom”
Industry Risks
If car automation takes hold,
what does that do to the
shipping and delivery industry?
Preparing The Future
People sometimes need help
finding information on your
website. A Chat bot that notices
a user on a page for a long time
can make recommendations or
hand off to staff
Online Support
Chat Bots Futures
What can we make with the
technology to make the world a
better place?
What Can We Make
Zumi
Kais Clan
Lets Chat AI - and Not Just ChatGPT
Luka
Lets Chat AI - and Not Just ChatGPT
Lets Chat AI - and Not Just ChatGPT
Lets Chat AI - and Not Just ChatGPT
Lets Chat AI - and Not Just ChatGPT
Evolve Project | Brian Pichman
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“The Agenda”
Bringing It All Together
Impact On Staff
At some point, AI can very well
replace some functions and
roles of what we do. IE:
Receptionist/Simple Q & A
Improving AI
If building an AI solution, you
will want to be accurate with
the data you provide
Evolve Project | Brian Pichman
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Making Your Job Better
Shift of Focus
AI can replace many of our tasks that we do to make them:
* More Efficient =
* More Accurate = As long as the data provided to the
AI is “good”, then the function will be more accurate.
*Tedious Work may be “outsourced” to the AI
Making The Work Day More Meaningful
Evolve Project | Brian Pichman
52
AI Struggles
Shift of Focus
AI may not have emotional intelligence or show
empathy…(yet).
AI makes a decision based on facts and may
not account for emotional variables.
To assume AI can’t replace a job role because it
doesn’t have emotional intelligence would be a
failure point to any organization.
Empathy / Emotional Intelligence
Evolve Project | Brian Pichman
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Maslow
Evolve Project | Brian Pichman
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Using AI In Meetings
https://meetgeek.ai/
Evolve Project | Brian Pichman
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AI Content Creation Tools
https://app.smartwriter.ai/
https://www.crawlq.ai/
https://www.neuraltext.com/
https://quuu.co/
https://missinglettr.com/
Ocoya
https://instoo.com/
https://appsumo.com/products/marketplace-instoo/
Image Editing
https://booltool.boolv.tech/home
Adobe FireFly
AI Assistants for Content
AI Content Tools:
· https://rytr.me/
o Create stories, blogs, tweets from a few
key words generated by AI
· https://app.wordhero.co/home
o Create text for a variety of different
topics
· https://app.peppertype.ai/home
o Create text for a variety of different
topics
Video Creation
· https://pictory.ai/
o Create curated stock videos based on
your text
Audio Creation
· https://app.fliki.ai/
o Text to Speech with a variety of voice
overs
Marketing Creation:
https://app.steve.ai
● Create animations based on your text
https://reachout.ai/ or https://bhuman.ai
● Create marketing campaigns from a single
video
More AI Assistants
Art Creation:
· https://supermachine.art/
o Create AI-Generated Art
https://aimages.ai/
o Create AI vector art (MagicStock)
https://www.airbrush.ai/
o Create art and enhancements
https://stockimg.ai/
o Create Book Covers and Logos
Course Creation:
· https://minicoursegenerator.com/
o Create a course made by AI
https://links.evolveproject.org/aitools
Free AI
https://links.libchalk.com/aidemo
Evolve Project | Brian Pichman
68
Feel free to reach out!
Questions / Contacts
815-534-0403
www.evolveproject.org
bpichman@evolveproject.org
Twitter: @bpichman
linkedin.com/in/bpichman
slideshare.net/bpichman

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Lets Chat AI - and Not Just ChatGPT

  • 1. Let’s Chat AI – And Not Just ChatGPT Brian Pichman Evolve Project
  • 2. Evolve Project | Brian Pichman 2 AI By now, most people have heard of ChatGPT as a conversational AI that can create conversations and answer questions. This flashy technology has helped introduce AI to the masses, yet this type of conversational AI has been around for almost a while in various formats. This session shows some of the less- known things you can do with AI, such as creating content for your blog/website, creating videos, generating marketing material, tweets, and more. Brian Pichman of the Evolve Project will share some access to technology to let participants play and create AI content to bring back to their library. Today we are exploring… Welcome
  • 3. What is Artificial Intelligence the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages.
  • 4. What is Machine Learning Machine Learning is a subset of Artificial Intelligence that uses algorithms and statistical models to allow a computer system to make decisions around a specific task without explicit instructions; relying on patterns and inference
  • 5. Evolve Project | Brian Pichman 5 AI Can Prevent Thinks Like..
  • 6. Evolve Project | Brian Pichman 6 When talking about AI… People will have one of two reactions:
  • 7. Evolve Project | Brian Pichman 7 “The Agenda” Topics for Today AI As A Tool When introducing AI to the its best to explain what it is…and what it isn’t. Impacts to Industries How are we seeing AI Impact different industries now? Pulling it Together How can we embrace AI and move things forward? Using AI Many of us interact regularly with some variant of Artificial Intelligence.
  • 8. Evolve Project | Brian Pichman 8 AI is becoming more available to the masses; being incorporated into our smart phones, our connected homes, and simple robots we already use today such as Roomba. With more accessible cloud- computing, open source, and the making community, this field will rapidly expand. More Widely Available Using AI “The development of full artificial intelligence could spell the end of the human race….It would take off on its own, and re-design itself at an ever increasing rate. Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded.”— Stephen Hawking
  • 9. Evolve Project | Brian Pichman 9 What makes up an intelligent system? AI Components Logic and Rules Based Computer makes decisions based on a decision tree, logic rules, or a predefined process with a calculated result. Pattern Based (Machine Learning) Computer learns overtime by using data and algorithms to detect patterns. Deep Learning Deep Learning is a subset of Machine Learning that enables the computer to make decisions on its own. Neural Networks A neural network allows an AI to make its own conclusions, where a simple pattern-only based AI must rely solely on data. A neural network allows deep learning to function.
  • 10. Pattern Based Intelligence -> currently exists with self driving cars, language translations, movie recommendations etc. Strong Artificial Intelligence -> (doesn’t yet exist) • computers think at a level that meets or passes people (abstract thinking) Artificial Intelligence Exists
  • 11. Evolve Project | Brian Pichman 11 Flash Light Examples Understanding AI If an ML algorithm makes an inaccurate prediction, then the engineer needs to correct. In DL, the algorithms can determine on their own if a prediction is accurate or not. Deep Learning Allow machines to make to their own accurate decisions without intervention from engineer Neural Networks If detects {dark} turn on {light} Logic Rules it’s performing a function with the data given and gets progressively better at that function Machine Learning Eventually, the system can turn on the light with other queues such as “I can’t see” DL “Code” Flashlight will turn on automatically as it learns other words for “dark” picking up on phrases that contains the word ML “Code”:
  • 12. Evolve Project | Brian Pichman 12 create an algorithm that is able to teach itself without any external help Pattern Recognition Deep Learning Uses more complicated mathematical models to define pictures content and speech Self Learning The advance machine learning system makes decisions by analyzing its own data and making patterns Learning on Examples This method is used when a machine learns through examples. For instance, Google’s automatic spam filtering learns as users report spam. Learning on Experience The system learns from positive and negative experiences.
  • 14. 14 From Patterns to Automation AI Models The idea is that an algorithm will sift through the data, learn from it, and apply it to make a decision. This can be seen in any recommendation type service. Machine Learning takes it a step farther by automating tasks; helping data security firms identify potential threats or finance looking for favorable deals. AI’s can be Transactional in which a question is asked and an answer is given, like a virtual assistant. AI’s can also be Automated in which routine tasks such automatically taking trash out on garbage day.
  • 15. Evolve Project | Brian Pichman 15 • When editing or using filters in photos (do X to eyes and Y to ears) • Identification of license plates from an image in a toll violation • Facebook’s ability to identify and recommend faces in photos • iPhone users can have their phone categorize people by facial patterns – in which you then define their name • Google’s Image Recognition Examples How we see AI In Everyday Life Image Recognition Think of how we can use facial imaging to determine moods
  • 17. Evolve Project | Brian Pichman 17 You probably see this everyday if you use Siri, Google Home, or an Echo Product. Overtime or with training, a system can tailored results based on identifying the user asking. For example, Google Home will provide my personal driving times to work if it hears me ask “how long will it take me to get to work” versus a friend asking who it has no data on. Examples How we see AI In Everyday Life Voice Recognition Think of how a system can respond and remember a user based solely on their voice
  • 19. Evolve Project | Brian Pichman 19 Helpful – AI
  • 21. Evolve Project | Brian Pichman 21 And How We Use It Other Forms of AI Optical Character Recognition Think of how a picture of your license plate allows a machine to translate that to text and run a query to determine who violated a toll. Also see this in scanners that can take an image and convert this to text. Consider how you can take a photo of another language and have it translate to yours Advance User Preferences This is the concept of an AI providing solutions based on historic user’s preferences and comparing it to similar users. Compare how Amazon or Netflix makes recommendations based on your purchases or views – or even how Amazon guesses when you might run out of a specific product. Sensory Data Analysis Your wearables that detect heart rate for instance can determine without user intervention if you are working out and even what kind of work out such as jogging or bicycling.
  • 24. Healthcare Used in healthcare to identify and notice predictable trends – such as having a machine look at charts to recognize tumors sooner with more accuracy – or eyes to determine stage of glaucoma
  • 26. Evolve Project | Brian Pichman 26 Good Read: https://www.businessinsider.com/healthcare-artificial-intelligence-pitfalls-2019-3
  • 27. Smart Homes See how a home can alert when it sees a person versus an animal or know that its going to rain tomorrow so no need to water the grass today
  • 30. Evolve Project | Brian Pichman 30 Inspiring AI’s AI: AlphaGo AlphaGo is the first AI to beat a human in arguably the most difficult game to master. AlphaGo now teaches moves to trainees. AI: ROSS ROSS is an AI tool to make legal research easier and faster
  • 32. Evolve Project | Brian Pichman 32 Run-away AI’s Tay (Thinking About You) Released on March 23 2016 via Twitter, Tay (as TayTweets on Twitter) was designed to mimic the interactions of 19 year old girl through learned conversations on Twitter. Users began tweeting pollitcally incorrect phrases to Tay, and thus, Tay responded and answered with the learned inappropriate behavior – as it was it was not taught what the difference between Good Language and Bad Language was. Microsoft Artificial Chatter Bot
  • 33. Evolve Project | Brian Pichman 33 Run-away AI’s Inspirobot.me I am an artificial intelligence dedicated to generating unlimited amounts of unique inspirational quotes for endless enrichment of pointless human existence. -- From their website Happy Accidents
  • 34. Evolve Project | Brian Pichman 34 Logic and Rules Based Challenges for AI Training Similar to having good data, an AI might need to learn the correct response for the correct situation or identify dangers or inappropriate interactions Precision The idea of garbage data in garbage data out. If you flood an AI with bad data and don’t set the proper syntax or thresholds you will get incoherent results Context AI’s can struggle with understanding context. For example, asking Siri ”call me an ambulance” may yield “OK, from now on, I will call you Ambulance”
  • 36. Evolve Project | Brian Pichman 36 Books written by an AI https://link.springer.com/book/10.1007/978-3-030-16800-1
  • 37. Evolve Project | Brian Pichman 37 AI Games AI Image or Not: http://www.whichfaceisreal.com/ https://experiments.withgoogle.com/collection/ai
  • 38. Evolve Project | Brian Pichman 38 Activity https://affinelayer.com/pixsrv/
  • 40. How can you prepare people for these fields? 40 Skills For Learning Understanding data and how to read data sets is valuable https://dzone.com/articles/ten-machine- learning-algorithms-you-should-know-to Math and Algorithms Statistics Learning how inputs of code can interact physical parts Hardware + Software Robotics Learning to code at a basic level with syntax and flow; then move to Python (most common) https://www.geeksforgeeks.org/top-5-best- programming-languages-for-artificial- intelligence-field/ Coding Languages Coding Learning this is a huge skill to master, along with object recognition https://www.pyimagesearch.com/start- here-learn-computer-vision-opencv/ How Do Computers See Computer Vision
  • 41. How can we onboard AI today? 41 Automations and Community Receptionist Allow for an interaction that’s quick and frees up time for staff for more complex and human needed interactions “Where’s The Bathroom” Industry Risks If car automation takes hold, what does that do to the shipping and delivery industry? Preparing The Future People sometimes need help finding information on your website. A Chat bot that notices a user on a page for a long time can make recommendations or hand off to staff Online Support Chat Bots Futures What can we make with the technology to make the world a better place? What Can We Make
  • 42. Zumi
  • 45. Luka
  • 50. Evolve Project | Brian Pichman 50 “The Agenda” Bringing It All Together Impact On Staff At some point, AI can very well replace some functions and roles of what we do. IE: Receptionist/Simple Q & A Improving AI If building an AI solution, you will want to be accurate with the data you provide
  • 51. Evolve Project | Brian Pichman 51 Making Your Job Better Shift of Focus AI can replace many of our tasks that we do to make them: * More Efficient = * More Accurate = As long as the data provided to the AI is “good”, then the function will be more accurate. *Tedious Work may be “outsourced” to the AI Making The Work Day More Meaningful
  • 52. Evolve Project | Brian Pichman 52 AI Struggles Shift of Focus AI may not have emotional intelligence or show empathy…(yet). AI makes a decision based on facts and may not account for emotional variables. To assume AI can’t replace a job role because it doesn’t have emotional intelligence would be a failure point to any organization. Empathy / Emotional Intelligence
  • 53. Evolve Project | Brian Pichman 53 Maslow
  • 54. Evolve Project | Brian Pichman 54 Using AI In Meetings https://meetgeek.ai/
  • 55. Evolve Project | Brian Pichman 55 AI Content Creation Tools
  • 61. Ocoya
  • 65. AI Assistants for Content AI Content Tools: · https://rytr.me/ o Create stories, blogs, tweets from a few key words generated by AI · https://app.wordhero.co/home o Create text for a variety of different topics · https://app.peppertype.ai/home o Create text for a variety of different topics Video Creation · https://pictory.ai/ o Create curated stock videos based on your text Audio Creation · https://app.fliki.ai/ o Text to Speech with a variety of voice overs Marketing Creation: https://app.steve.ai ● Create animations based on your text https://reachout.ai/ or https://bhuman.ai ● Create marketing campaigns from a single video
  • 66. More AI Assistants Art Creation: · https://supermachine.art/ o Create AI-Generated Art https://aimages.ai/ o Create AI vector art (MagicStock) https://www.airbrush.ai/ o Create art and enhancements https://stockimg.ai/ o Create Book Covers and Logos Course Creation: · https://minicoursegenerator.com/ o Create a course made by AI https://links.evolveproject.org/aitools
  • 68. Evolve Project | Brian Pichman 68 Feel free to reach out! Questions / Contacts 815-534-0403 www.evolveproject.org [email protected] Twitter: @bpichman linkedin.com/in/bpichman slideshare.net/bpichman