In this webinar, we’ll show you how to get more out of your existing content with Artificial Intelligence in very achievable ways.
Want to follow along with the webinar replay? Download it here for FREE: https://info.aiim.org/using-ai-to-easily-automate-all-of-your-correspondence-channels
Exploring the Future Potential of AI-Enabled Smartphone Processors
[Webinar Slides] Using AI to Easily Automate All of Your Correspondence Channels
1. Underwritten by:
#AIIMYour Digital Transformation Begins with
Intelligent Information Management
Using AI to Easily Automate All of Your
Correspondence Channels – Paper, Fax,
Email, Chat-Bots, & More
Presented DATE
Using AI to Easily Automate
All of Your Correspondence Channels –
Paper, Fax, Email, Chat-Bots, & More
An AIIM Webinar presented October 9, 2019
2. Underwritten by:
#AIIMYour Digital Transformation Begins with
Intelligent Information ManagementYour Digital Transformation begins with
Intelligent Information Management
3. Underwritten by:
Today’s Speakers
Peggy Winton
President & CEO
AIIM
Jesse Freeman
Senior Solutions Consultant – AI & Analytics
OpenText
Zachary Jarvinen
Head of Product Marketing – Analytics and AI
OpenText
5. Underwritten by:
What’s In a Name?
AI has actually been with us for decades; what’s
new now?
Where’s the real payoff?
How are you and your peers using it?
7. Underwritten by:
81% Say that it is key
50%
31%
12%
6%
Extremely
important
Very important Somewhat
important
Not so important
How important are Deep Learning and Machine
Learning to your future technology and business
planning (say over the next 24 months)?
8. Underwritten by:
And yet, a full 87% of organizations are still
exploring or recent adopters
46%
41%
13%
Exploring (just looking) Early adopter (we’ve
had
models in production
for 2+ years)
Advanced (we’ve had
models in production
for 5+ years)
What is the stage of Machine Learning adoption
in your company?
9. Underwritten by:
Key Driver for 79% of you
40% 39%
13%
4% 4%
Extremely
important
Very
important
Somewhat
important
Not so
important
Not at all
important
How important is it to the success of your
Machine Learning goals to be able to turn
unstructured information (like documents,
images, audio, video, application files) into
structured data?
10. Underwritten by:
Today's global business climate is changing...
Challenges…
Leading to new growth strategies…
61%of enterprises have
more than 100 terabytes
of unstructured data
Data challenges Capitalizing on AI
80% of US CEOs think
AI will significantly change
the way they do business
in the next five years
CEOs see over-regulation
and cyber crime as top
threats to their organization’s
growth prospects
Regulation
35% of enterprises see transformation
in compliance is now improving responsiveness
to business growth needs
77% of CEOs are
planning to focus on
operational efficiencies
11. Underwritten by:
More trends shaping the industry
Sources:
1 “Insights-Driven Businesses Set The Pace For Global Growth”
2 “CGI 2017 Global Financial Consumer Banking Survey”
3 “AI in the financial services: Next steps to realizing potential” – FinExtra.com
Almost 50% of
consumers
see high value
in
personalized
offers2
80% of
organizations
are already
aware of AI
benefits3
Economic Pressures Consumer Pressures Technology Pressures
Insights-
driven
enterprises
are predicted to
grow 8 to 10
times faster
than their
competitors1
12. Underwritten by:
…but 87% of you find this challenging
32%
39%
15%
11%
2%
Extremely
challenging
Very
challenging
Challenging Somewhat
challenging
Not
challenging at
all
How challenging is it in your organization to turn
unstructured information (like documents,
images, audio, video, application files) into
structured data capable of being analyzed by
machines?
18. Underwritten by:
What processes initial targets for ML?
21%
35%
33%
33%
27%
40%
28%
21%
26%
Generate automatic summaries of documents
Automatic text analysis for better categorization…
Intelligent capture to identify and index documents…
Identify the underlying content of a document…
Enhanced security through automatic identification…
Better data loss prevention by raising alerts…
Topic clustering and content categorization to…
Support Natural Language Queries in search
Allow access to content repositories via voice…
Which are the THREE most important content-centric AI/Machine Learning
use cases to your organization?
43. Underwritten by:
Machine Learning not an end in itself
How can ML be used to improve existing Content,
Process, and Analytics Services capabilities?
How can core Content, Process, and Analytics Services
capabilities be used to improve the inputs to ML?
44. Underwritten by:
Key Benefit Expectations
32%
43%
25%
Drive access and insight for business
users
Ability to automatically apply
privacy & retention policies
Increased efficiency/automation for
business workflows
What is the MOST important benefit you expect from utilizing Machine
Learning?