Uncover the potential of Artificial Intelligence in revolutionizing data analysis and enhancing conversational experiences within library contexts. This presentation explores how AI technologies are redefining data management, insights, and user interactions in libraries. Gain insights into how AI-driven data analysis can optimize collection management, resource allocation, and user engagement. Additionally, learn about the implementation of AI-powered conversational interfaces to provide seamless library support and guidance. Key Points: - Enhancing library data analysis: From catalog optimization to user behavior insights using AI. - Leveraging AI to automate routine data-related tasks and enhance decision-making. - Conversational AI in libraries: Creating virtual assistants and chatbots for user assistance. - Merging human expertise with AI: Crafting effective user interactions in library services. - Case studies showcasing libraries streamlining operations and enriching user experiences through AI. - Future horizons: The evolving role of AI in data management and personalized library interactions.

1. Artificial Intelligence (AI) –
Powering Data and Conversations
Brian Pichman
Evolve Project

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AI
Uncover the potential of Artificial Intelligence in revolutionizing data analysis and enhancing
conversational experiences within library contexts. This presentation explores how AI technologies are
redefining data management, insights, and user interactions in libraries. Gain insights into how AI-driven
data analysis can optimize collection management, resource allocation, and user engagement.
Additionally, learn about the implementation of AI-powered conversational interfaces to provide seamless
library support and guidance.
Key Points:
- Enhancing library data analysis: From catalog optimization to user behavior insights using AI.
- Leveraging AI to automate routine data-related tasks and enhance decision-making.
- Conversational AI in libraries: Creating virtual assistants and chatbots for user assistance.
- Merging human expertise with AI: Crafting effective user interactions in library services.
- Case studies showcasing libraries streamlining operations and enriching user experiences through AI.
- Future horizons: The evolving role of AI in data management and personalized library interactions.
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

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Source:
https://meaningfulimpacthub.com/

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When talking about AI…
People will have one of two
reactions:

7. 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

8. More AI Assistants
Art Creation:
· h t t p s : / / s u p e r m a c h i n e . a r t /
o C r e a t e A I - G e n e r a t e d A r t
h t t p s : / / a i m a g e s . a i /
o C r e a t e A I v e c t o r a r t ( M a g i c S t o c k )
h t t p s : / / w w w . a i r b r u s h . a i /
o C r e a t e a r t a n d e n h a n c e m e n t s
h t t p s : / / s t o c k i m g . a i /
o C r e a t e B o o k C o v e r s a n d L o g o s
Course Creation:
· h t t p s : / / m i n i c o u r s e g e n e r a t o r . c o m /
o C r e a t e a c o u r s e m a d e b y A I
https://links.evolveproject.org/aitools

9. Free AI
https://links.evolveproject.org/aidemo

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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”

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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

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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

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Helpful – AI

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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.

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AI Games
AI Image or Not: http://www.whichfaceisreal.com/
https://experiments.withgoogle.com/collection/ai

22. Applying AI
Thoughts, Ideas, and More

23. How can you prepare people for these fields?
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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

24. How can we onboard AI today?
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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

25. Products For Library Usage to Talk About AI

26. Zumi

28. Kais Clan

29. Luka

34. More Resources
• Guides for getting started:
• https://links.evolveproject.org/ai_resources
• Tech Gadgets Guides:
• https://links.evolveproject.org/ai_gadgets

35. https://codepen.io/GeorgePark/pen/gKrVJe

36. Using AI and Data
• You can pull data sources (card catalog or circulations) to give book
recommendations to patrons (think Netflix)
• AI can help you answer questions about patron activity (if you have a
door counter) or website activity.
• Tools like thoughtspot.com can digest your data and using natural language
you can have it build graphs
• AI can help you understand images, other languages, and more.

37. WiseCut
• Upload videos and have it edited down using AI to make the best
“clip”

38. AI Tools To Help With Data
• https://formula.dog/

39. AI Tools to Collect Data
• https://www.browse.ai/
• https://www.octoparse.com/

40. Microsoft CoPilot

41. Train AI Off Your Data
• Tools like taskmagic.com and chatbase.co (yes not .com) can empower
your OpenAI API and point to your data sources

42. Programming AI Demo
• Know the features of a Conversational AI using OpenAI’s API

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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