The internet changed
everything… with AI:
everything must change

CEO Position Paper

Mark J. Barrenechea
OpenText CEO and CTO

opentext.ai

Contents
1. Introduction			3

2. The Cognitive Era—A New Era of Computing			4

3. Announcing opentext.ai			6

4. Why OpenText			

8

5. Understanding AI			9

6. Solve Your Most Complex Problems			

12

7. Content & AI 			

14

8. Business Network & AI			

16

9. IT Operations & AI			

18

10. DevOps & AI			

19

11. Cybersecurity & AI			21

12. Experience & AI			

22

13. IoT & AI			

24

14. OpenText’s AI Foundation			26

15. In Summary			

29

Acknowledgements		

30

Endnotes			31

Forward-Looking Statement		32

2

1. Introduction
Platform shift happens. And it is happening again.
Exponential growth in technology has spurred surprising and sudden change. We havereached a critical mass in global connectivity, with over five billion people connected
to an internet of clouds.1 Computing power is extremely available and extremely costeffective. Large data sets have emerged as a result. We are seeing a flood of new
algorithms, new models and new products.
With extreme computing power, extreme networking, large data sets, and theemergence of new models, like large language models, AI is becoming mainstream.
I once wrote that the “internet changes everything.”2 Today, with AI, everything
must change.
AI is not just another technology or business case. It will shape the future, what itmeans to be a company and what it means to be human. R&D and software engineering
will be transformed through AI. Support will be transformed through AI. Marketing,sales, customer ops, supply chain, corporate IT, risk and compliance, all transformed.
Although interacting with AI may seem simple from the user’s perspective, it involves
many sophisticated technologies working together behind the scenes—big data,
natural language processing (NLP), machine learning (ML) and more. Integrating thiscomponentry—ethically and effectively—requires expertise, strategy and insight.
Figure 1:
Artificial Intelligence

Business Intelligence

MachineLearning

NaturalLanguage
Processing

Big Data
Deep
Learning

Data

Predictive Analytics

Cognitive
ComputingStatistics

At OpenText, we intend to be a trusted partner on our customers’ AI journey. To guideorganizations to reap AI’s benefits and avoid its risks. To help them manage informationand elevate their business with AI-based solutions across every function.
To paraphrase Bob Dylan, “the times they are (AI) changin’.” It is time for allorganizations, in every industry, to change as well.
3

Unpacking AI

opentext.ai

2. The Cognitive Era—A New Era of Computing
We are now beyond digital. It is the next era of computing—and opportunity.
Since the 1960s, computers have been able to process information according topredefined rules. Our computing systems have done an amazing job of processing
information, programming business rules and automating processes to improve
communications, productivity and efficiency.
But cognitive systems take computing to a new stratosphere—one we are only beginningto scratch the surface of. Cognitive systems are defined by their ability to “think.” They
can learn, reason and act based on proficiency and experience, as opposed to following
rules that have been programmed. This is what sets cognitive computing apart.
And as we are now seeing with the rapid explosion of new AI abilities, it’s time forcognitive systems to free us from the limited, rigid scope of machines in the Calculation
and Automation Eras.

The Next Era of Computing and Opportunity

Figure 2:• Information and cognitive driven• Seamless shifts between physical & digital (Phygital)• A level: automation, algorithms, applications, augmented reality• More human: workforce is fluid and global• Always on, fully connected, instant

The next era of computing and opportunity

AI

DigitalCloud
Internet
Mainframes

Monolithic

Client server

Client server

Webservices

Microservices

Cognitive computing is modeled after the most powerful computing system in the world:the human brain and its neural networks. And like us, it gets smarter over time as it builds
up a domain of knowledge based on its “experience.”
Cognitive systems transform data into smart data. Their thought processes are non-linear
and they can process massive amounts of information, often faster than the human brain.
As structured, unstructured and big data continue to accumulate in huge quantities,
cognitive systems will unlock the value buried in these massive data sets.
We are at the cusp of the whirlwind new future of AI. This technology, with its ability
to skyrocket our capabilities, will be the defining factor that separates top performing
organizations from those doomed to fizzle out. As AI implementations increase in sizeand scope, forward-thinking companies will consistently leverage it to solve theirgreatest challenges.

4The impact of cognitive technologies on business will grow significantly in the immediate
future. Consider just one aspect of cognitive technology, generative AI. McKinsey calls
generative AI “the next productivity frontier,” which could add trillions in value to theglobal economy.3 Nearly every function in corporations is going to radically change. Andin fact, the nature of work itself will be transformed.

A Snapshot of Generative AI’s Impact
Top 5 Corporate
Functions Impacted

Top 5 Job Types
Impacted1

Software engineering(corporate IT &product development)

1

Office &administrative
support

2

Sales

2

Sales & related

3Marketing

3

Computer &mathematical

4

Customer operations

4

Business &financial operations

5

Product R&D*

5

Arts, design,
entertainment,
sports & media*Excluding software engineering

In addition to these areas that will be most impacted by AI, there are two more key
areas: document search and user interfaces. GenAI will allow users to interact with
content in new ways—to ask questions of documents. The UI will be conversational,
but transactional.
The business impact is so wide: how we sell, how we do marketing, how we write code,
how we make supply changes, how we build IT systems, and much more.
The Cognitive Era is introducing another mass inflection and exponential change in therate of our development. As businesses, as leaders and as humans, we must learn again.
We must go beyond, into this next incredible era of computing.
The choice to embrace AI is straightforward; the journey is not.
Welcome to the Cognitive Era.

5

Figure 3:
Generative AI will transform work inevery industry4 5

opentext.ai

3. Announcing opentext.ai
Now is not the time to slow down innovation. The right technologies, leveraged effectively
and ethically, can spur phenomenal growth.
At OpenText, we are unlocking the potential of artificial intelligence and large language
models (LLMs) for our customers. Our new approach and vision is called opentext.ai. It is
about delivering the best solutions across all types of AI—complex knowledge processing,robotics, learning, language processing, generative AI and quantum. We believe AI hasa phenomenal power for information management, and with Titanium X, our technology
roadmap, we intend to embed AI across our major products and services.

OpenText Aviator
As part of this commitment, we are excited to introduce OpenText Aviator, which will
integrate astounding AI capabilities into each of our clouds.
Figure 4:
Introducing OpenText Aviator

Introducing OpenText Aviator
OpenText Content Aviator

Embrace a new way to interact with content andextract knowledge

OpenText Business Network Aviator

Revolutionize the internet of clouds via connectivity

OpenText IT Operations Aviator

Redefine all Level 1 business support (IT, HR, Sales)

OpenText DevOps Aviator

Elevate 30 million developers

OpenText Cybersecurity Aviator

Respond to threats in real time and ensure data is
private and secure

OpenText Experience Aviator

Transform customer communications

Aviator will act as a force multiplier for the information advantage, enabling organizations
to power and protect their information and elevate their business. Here are just some of
the capabilities our customers can achieve through Aviator:•

Content: Bring AI to content users and producers to embrace the next era ofinteracting with content, unleash stored knowledge, manage structured andunstructured data at scale, automate workspace configuration, and leverage
conversational search to quickly find related or similar content.

•

Business Network: Revolutionize business via connectivity, identify anomalies andpatterns in customer data, analyze and report the status of business transactions,and support intelligent decision-making.

•

IT Operations: Leverage automation and AI across the full IT operations value chain,redefine Level 1 business support across IT, HR and Sales, and discover intelligent
automation using generative AI.

•

DevOps: Elevate developers around the world, enhance all aspects of service
delivery and get actionable insights into digital value stream KPIs.
6

•

Cybersecurity: Gain contextual threat intelligence, AI-powered APIs and thecapability to understand and react to threats in real time; secure the benefitsof AI with peace of mind that data is secure and accessible only to those whoare approved.

•

Experience: Transform customer communications and elevate digital experiences
through advanced LLM and generative AI, predictive analytics and intelligent,personalized content creation.

OpenText Private Cloud Aviator
We are also announcing OpenText Private Cloud Aviator. For our private cloudcustomers, we will deliver a new Professional Service to help set up a private LLM, using
out-of-the-box Aviator features or customers’ own private cloud environment for theirinformation. OpenText can help customers advance using the data layers they operate in,matching those up with the right models, engineering the right way to extract that data
and then operationalizing the entire process to drive transformative outcomes.
Private Cloud Aviator will empower organizations to experiment with AI and LLMs, allwhile their data is protected.

The Next Generation Managed Service
OpenText Private Cloud Aviator

Private LLM running in the
OpenText Private Cloud• Private Language Models• Running in the OpenText
Private Cloud• Customers can leverage
their private data sets,safely and securely

New OpenText AI Practice &Expert Guidance+Data Layers
Poly-Models
Prompt Engineering
Learning Data Operations

Unleashing thePower of Information=

Transformative
Outcomes

OpenText Aviator and OpenText Private Cloud Aviator will be available with Cloud Editions
23.4. We cannot wait to take our customers to new heights with all that Aviator can do.

7

Figure 5:
OpenText Private Cloud Aviatoropentext.ai

4. Why OpenText
OpenText is a global market leader in information management. No other organization has
the level of skills or experience in information management that OpenText offers. We are
24,000 experts strong, and we believe the OpenText Cloud is the most comprehensive
information management platform on the planet.
Figure 6:

OpenText Information Management
OpenText
Content Cloud

OpenText IT
Operations Cloud

OpenText
Cybersecurity Cloud

OpenText AI Cloud

OpenText BusinessNetwork Cloud

OpenText
DevOps Cloud

OpenText
Experience Cloud

OpenText App
Modernization Cloud
OpenText
Cloud Platform

Our leadership in Information Management

700K

150M

SMB
Customers

End
Users

120K+

24K

Enterprise
Customers

Experts
StrongOver 33% of our talent is dedicated to R&D

We have demonstrated for more than 30 years that we are deserving of our customers’
trust. They have relied on us to help manage, enhance and increase the value of theirdata. Now, with the introduction of opentext.ai, organizations can gain even more insight
into their information, and even more value from our services.
OpenText has a history of integrating aspects of AI into our solutions—metadata and text
analysis in Extended ECM, business intelligence in Documentum and assisted authoringin Exstream, just to name a few of our extensive offerings. The history of Magellan, ourflexible AI and analytics platform, goes back to 2010, and signaled our move towards amore open, scalable and affordable future for AI and cognitive computing.
With the acquisition of Micro Focus in January 2023, we have expanded our mission to
include new AI capabilities with Vertica and IDOL, including geospatial and time-series
analytics, in-database machine learning, unstructured data analytics and more.

OpenText
Analytics& AI

Data Visualizationand Exploration
Analytical
Database

Magellan

Vertica

Unstructured
Data Analytics

IDOL• BI data visualization• Text mining• Advanced data exploration and ETL• Enterprise AI

Figure 7:
OpenText Magellan, Vertica and IDOL

• High-performance analytics• In-database ML• Geospatial and time-series analytics• Data lakehouse• Unstructured data analytics• Enterprise search• Knowledge discovery• Text, audio, video analytics

We have layered in world-class cybersecurity solutions, large data sets and metadata
tools, machine learning engines, Risk Guard and additional content analytics. And with
OpenText Aviator, we are delivering the tools that will drive accelerated innovation
cycles, forge new paths to growth, reduce costs and uplift skills within organizations.
Simply put, OpenText offers a full stack of AI-based solutions to help businesses gain
insight, make better decisions and work smarter.
8

5. Understanding AI
AI is one of the most misunderstood concepts in the modern computer era. Today, almost
all AI discussions start with generative AI, but AI and the opportunities it presents fororganizations are much broader.
So, how do we deconstruct AI? At OpenText, we look at AI through the following
taxonomy, and we intend to participate in each category:

Artificial Intelligence for OpenText

FOUNDATIONS RAISING

NaturalLanguage
Processing

Robotics• Programmed
Translation• Process
Automation• Expert
Systems• Information
Extraction• Planning
Optimization• IoT

Complex
EventsFigure 8:
NEW FUTURE

MachineLearning

GenerativeAI

Quantum
ComputingCognitive
Systems• Text to
Speech• Predictive
Models• Generationof Artifacts
Based onLearnings• Computing
Speed• Neural
Networks• Machine
Vision• Reinforced
Learnings• Speech to
Text• Image
Recognition• DeepLearning• Large
Language
Models• Computing
Power

Artificial intelligence for OpenText• Learn, Reason,
Act Based on• Cybersecurity Proficiency
and Experience

Within GenAI, we see this taxonomy:
Figure 9:AI
Machine Learning (ML)
Generative AI
Large Language Models (LLM)

LLMs can be seen as a pinnacle of AI development, but they are only one of many AI
components. They are a subset of generative AI, which is itself a subset of machinelearning. The right AI tool will vary according to application. For example, for opticalcharacter recognition (OCR), a standard trained ML is likely the most efficient solution.
Generative AI algorithms could solve it, but would be way too computationally expensive.
To benefit from AI, you need a trusted partner who knows how to deploy its component
technologies appropriately and effectively. At OpenText, we have a deep history of
applying a wide range of AI technologies to solve problems and unleash knowledge
from data.

9

A taxonomy of GenAI

opentext.ai

AI & Data
AI requires data and models. The more data you can give it, the wider visibility it can
provide into the business. But the old saying “garbage in, garbage out” is certainly true ofAI algorithms, especially LLMs. At OpenText, information and data are at the center of ourexistence, and when it comes to AI, we think about three types of data:

Learning Data(new - from models)

Google Cloud

Figure 10:
Three types of data

Amazon Web Services
Microsoft

Experience Data

Operational Data
(transaction)

OracleSalesforce
SAP•

Operational Data: These are the transactional pieces—including ERP records
and CRM data, such as payroll, supply chain, order entry, production data anddevelopment data. An effective AI solution will extract meaning and knowledge fromthis data. This data is real-time and typically not part of the training set of an LLM, as
training LLMs takes months and a huge amount of computation.

•

Experience Data: This is information that is exchanged with customers, including
elements that affect the experience of the customer, such as Customer Support. Like
Operations Data, Experience Data is real-time and not part of the training sets.

•

Learning Data: This is data that represents the “state” of the AI algorithm. It
represents everything that the algorithm has learned. For generative AI and LLMs,
this includes the foundation models that the LLMs are trained on, but also thepreprocessing, vectorization and indexing of the Operational and Experience Data
that is used in an AI solution.i

Learning Data is a new form of data, composed of what we learn from our models. Butorganizations may lack in-house LLM expertise and the right knowledge to get the mostbenefit from AI and build this Learning Data. OpenText can help customers advancethrough collecting data, organizing it, then applying AI to operate on the data and derive
insight, all in a process that is ultimately lightweight and low cost. Just as companies
previously set up Business Intelligence next to Operational Data, they can now set up
Learning Data in the cloud next to their content systems, reaping the benefits of AIdriven knowledge, all while their data remains secure.

OpenText’s Poly-Model Approach
Within the areas of generative AI and LLM, there are numerous alternatives to OpenAI’s
proprietary GPT algorithm. Many organizations are open-sourcing their algorithms
and open-sourcing pretrained learning data. This allows businesses to build dedicatedsolutions that are efficient and optimized for a given problem.
iA n additional type of data is Public Data from external sources, which is often used for LLM training.

10

At OpenText, our approach is poly-model. To best serve our customers through OpenText
Aviator and other products, we need multiple planes in the hangar! We call it our modelsquadron. Just as we support multiple databases—Oracle, SQL, PostgreSQL—we will
support multiple models—Vertex, PaLM2, T5, Open Assistant, GPT 4.0 and more. It’s
about deploying the right model for the right job, so our customers can thrive in the
Cognitive Era.

Running AI for Our Customers
We envisage two scenarios for customers to leverage AI—multi-tenant and single tenant.
Multi-tenantMulti-tenant involves having one service that can be used by multiple customers
concurrently while retaining the controls and data privacy that organizations need andexpect. Multi-tenant:•Ensures our customers get the latest and greatest capabilities at the same time•

Reduces the complexity in the environment•

Internally reduces the burden on the run and maintain activities, as the footprint is ona single service (not an instance per customer)

Data that customers choose to securely provide to the LLM can be ingested and enhance
the capabilities and interactions possible. These capabilities, responses and ingested
data are only accessible to that customer.
Single tenant
Single tenant is for customers who must keep tooling and data within their own
environments, and where shared services cannot be used. Customers can leverage thebenefits of AI within OpenText services, while also having peace of mind that the useof the technology and the security of their data is confined within spaces that are only
accessible to them. This also allows customers to parametrize and configure the AI
capabilities for their specific needs.
With both multi-tenant and single tenant, OpenText’s AI solutions operate to the samehigh standards as the rest of our solutions, honoring our commitment to privacy andtrust. Our approach not only gives organizations more effective and creative ways to use
their information, but also delivers AI-powered expertise to take them far beyond what
they could achieve alone.

11

opentext.ai

6. Solve Your Most Complex Problems
The emergence of generative AI and large language models has created a pivot point forour industry, where experimentation and differentiation can truly happen at large. And theability to embed smart algorithms everywhere is not only possible, but essential in orderfor organizations to compete and prosper.
At OpenText, we understand data. We create Learning Data out of our customers’ data,
and find the right algorithms and embeddings that allow our customers to concentrate on
overcoming challenges and gaining insight, instead of creating AI science projects.
We deliver useful applied AI to the following areas, where we have a long history ofhelping customers manage data and information to solve their most complex problems:•Content: We help organizations master modern work through smarter information.
We are a leader in content platforms, managing structured and unstructured data at
scale and with privacy, and we embed AI solutions for our customers to release theirstored knowledge.6•

Business Network: We unleash information with smarter connections, soorganizations can reclaim time and resources. We power some of the largest
business networks in the world, and by applying AI, we can analyze and report thestatus of business transactions, and provide deep visibility into supply chains to
support growing ESG requirements.

•

IT Operations Management: We enable smarter digital operations and empowerorganizations to control both cost and carbon for a net-zero world. We have a long
history of applying AI in optimizing and simplifying management of complex IT
systems. We are a leader in AI Operations and in service management, not least byembedding AI everywhere in our solutions.7•

DevOps and Value Stream Management: We elevate the developer through smarter
DevOps, with a keen awareness of how generative AI will change the way developers
work. Improving agility and quality of development is essential, and we are applying
AI across the digital value stream to optimize and increase productivity.

•

Cybersecurity: We simplify the security stack for our customers, and protect
valuable and sensitive information. Understanding and reacting to threats in realtime is essential. Only by applying AI is this possible, and we have some of the best
AI-powered cybersecurity solutions, with comprehensive 24x7x365 monitoringaligned to MITRE ATT&CK tactics, techniques and procedures.

•

Experience: We deliver the unexpected wow for our customers’ customers, partners
and employees. We help businesses automate end-to-end customer management,
and use AI to build better content and better communications, leveraging LLMs todramatically improve the productivity of marketing, service and support teams.

•

Foundation: In addition to providing embedded AI solutions in the above areas, we
also deliver foundational tooling that combines general data management, traditional
analysis and AI, all delivered from a secure private cloud. This allows our customer tobootstrap effortlessly into the world where extracting knowledge from information
happens AI-tomatically.

12

BUILD, AUTOMATE, CONNECT

SECURE, PREDICT, ACT

Application Delivery & Quality

Cybersecurity
Analytics & AI

Business Network

ys

S

Digital Operations Management

te

Sy

13

s te

Content Management

rd

em

ms

s of Roecof Engag

nt

Sy

st

em

m s of In sig

e

h ts

Experience Management

Figure 11:
Smarter with OpenText

opentext.ai

7. Content & AI
Large language models are revolutionizing content management and transforming
the ways we interact with unstructured content. With their unprecedented ability
to comprehend context, extract semantics and knowledge, and automate content
management tasks, LLMs are unlocking new value in the content management system.
With OpenText Content Aviator, OpenText Content Cloud is leveraging LLMs tofundamentally improve and transform content management. We will bring thesecapabilities to all key platforms in the Content Cloud: Core, Documentum and Extended
ECM—and create an all-new experience for content users.

OpenText Content Aviator: Key AI Capabilities
Figure 12:

Content Aviator
1/2

EXECUTIVE BRIEF

Extend ECM into lead business applications to add context to content, for
improved eﬃciency and decision-making power

Enterprises havemore data, from more
sources, with moreuses and require
it on demand

Virtually every part of every business is powered by

Workforces need a
new way of interacting,sharing andconsuming content

creating compliance workarounds and increasing risk.

More content requires
more complianceand governanceAnalyze

Ask me anything on the workspace'Extended ECM'.

OpenText Extended ECM Platform delivers
an information advantage to empowerbusiness processes

processes. As the amount of digital information continues
to explode, old content management methods become

obsolete, slowing productivity, impeding decision-making,to this data problem. Extended ECM is the next evolution of
ECM, injecting valuable content insights when and where
they are needed most, inside business processes.

Organizations today need to be prepared to work with more content, from more
sources, with more uses, all accessed on demand. It can be diﬃcult to organize,

OpenText Content Aviator

Aviator

Summarize this workspace

New discussion

Kate Miller 2 minutes ago

Summarize this workspace, please.

The workspace contains documents
about OpenText Extended ECM
Platform. It is a solution that combinesenterprise information management
features of OpenText Content Serverwith business data that is maintained in
an enterprise application. A businessworkspace is a folder in Content Serverthat contains content. documents,
images, videos and so on, which are
relevant to a business object.
Ask me something...
0/2000Ask

Mastering Modern Work
with Al

Summarize
Translate
SearchNavigate
CreateAutomate

Elevate User Experienceand Efficiency

Content Analysis: Knowledge Extraction, Document Summarization and Translation
Through contextual understanding, LLMs can accurately and comprehensively analyze
content, then extract the relevant information from various documents such as contracts
or invoices. Additionally, LLMs can summarize individual documents or entire workspaces,with the added capability of translating these summaries into specified target languages,
helping users get the important facts faster.
Search: Conversational Search, Semantic Navigation, Related Content and Subject
Matter Experts
Empowered by LLMs, chatbots can comprehend user queries, provide relevant
information and engage in natural, human-like conversations. By utilizing chat memory
to retain conversation history, chatbots can handle follow-up questions effectively. Thisintuitive interaction with unstructured content reduces cognitive load and enhances theoverall user experience. The responses from chatbots will include links to workspaces
or individual documents, enabling users to quickly navigate to the precise sources usedby LLMs to generate the answers. This allows for semantic navigation independent oftraditional folder structures—no more wasted time searching for the right folder or theright document.

14

In comparison to traditional keyword-based search systems, LLMs possess superiorprecision in comprehending user queries and delivering relevant search results. By
analyzing context, semantics and user preferences, LLMs facilitate seamless accessand navigation of unstructured content. Harnessing the power of semantic and similarity
search, they can also offer personalized recommendations for related content or subject
matter experts.
Create and Act: Content Creation and Content Process Automation
With OpenText Content Aviator, customers will be able to generate new content or
documents based on language models and enterprise data sources (including businessapplications such as SAP or Salesforce). This capability is particularly useful for ideation,customer communication and the creation of business documents. Additionally, users
can interact with content management processes, such as approval workflows, in natural
language, and the AI system can take appropriate action based on user requests.
Automate Business Configuration
OpenText Content Aviator will streamline the business configuration of OpenText content
management platforms, including metadata schemas, workspace templates and workflow
maps. Putting these capabilities into the hands of more business users will dramaticallyaccelerate and simplify configuration tasks, as well as eliminate the need for every user
to understand complex administration tasks.
AI-Led Code Generation for Developers
LLMs can aid developers by generating code examples to interact with the public APIs
provided by OpenText’s Private Cloud and Public Cloud services. This simplifies theimplementation of integrations or extensions on top of our Content Cloud platforms.

15

opentext.ai

8. Business Network & AI
The world is an internet of clouds—and OpenText is the interconnector. From applications
and data to unstructured information and industry ecosystems, OpenText BusinessNetwork Cloud connects it all.

The OpenText Cloud and the Internet of Clouds
InfrastructureInterconnected and runs over the public internet

Google Cloud

Industry Eco-Systems

Amazon Web Services

Amazon, Walmart, Automotive, GS1, …

Figure 13:
OpenText interconnects the internetof clouds

Microsoft Azure

Hundreds of Services

Applications

DocuSign, D&B, EcoVadis, Acuris, …

Salesforce
OpenText Cloud
SAP

PublicInternet

PublicInternet

Standards
X12, UNCEFACT, SWIFT, ACH, IDOCs, …

NetSuite

On-premises

IBM Mainframes
Connectivity, transactions, …

Customer Hybrid
Applications &Endpoints

People, Machines and Things
IoT, sensors, connections, identity

OpenText Business Network is leveraging AI and ML to revolutionize how we interact with
the internet of clouds and connect with people, systems and things.

OpenText Business Network Aviator: Key AI Capabilities
Address Risk: Identify Anomalies and Patterns in Customer Data
AI enables intelligent agent alerts on a fully indexed data lake of metadata andtransactional data. These alerts automatically trigger in response to variances against
critical business metrics, such as out-of-threshold invoice amounts, unexpected pricechanges, trading partner compliance issues, transaction errors and changes in supply
chain patterns. By continuously monitoring the data, the AI agent proactively identifies
anomalies and deviations, providing real-time alerts to end-users without the need for
manual reaction. Leveraging techniques like anomaly detection and machine learning,
this solution enhances the accuracy and timeliness of alerts, allowing businesses toproactively address risks, seize opportunities and improve operational efficiency.
Enhance Experience for Documentation, Knowledge Base and Self-Service for Business Network Cloud Foundation: AI-Powered Interactions
Users frequently search for information related to product functionality, limitations,detailed specifications, subject matter experts and more.
For example, a user may ask: “How can I set up a report of a particular document typewith a specific trading partner that exceeds the size limit by 5,000 bytes?” Prior to AI,
such a report would typically have required live assistance to understand the customer’stransactions and configure the report accordingly. Static help documents often lackcoverage for specific use cases like this. AI can assist users with complex queries without
the presence of a live agent to walk them through it.

16

Another example could involve a customer asking: “How can I gain access to an API for
downloading my transactions?” In seeing this type of query, AI could potentially initiate
the sales funnel process.
At the OpenText Trading Grid Online level, all application teams can continue training the
AI models, providing widespread reach and delivering a remarkable user experience.
Deep Understanding: AI-Assisted Self-Service Chatbot
An AI chatbot can seamlessly follow customers across all Trading Grid applications,providing personalized assistance and insights. Customers can access a unified profile
view that combines transactional data and community information for efficient browsing
through the Trading Partner Data Enrichment feature. The Lens Conversational View
augments the chatbot with threaded conversations, enabling better understanding oftransactional flows and relevant information.
Additionally, the Trading Grid Command Center, powered by AI, offers visibility into key
metrics, such as supplier risk and performance. With this AI-driven ecosystem, customers
can optimize their interactions, streamline processes and gain valuable insights forenhanced supply chain management such as:•

Has my purchase order been acknowledged?

•

How much total spend with a given trading partner?

•

Which trading partner has the best order fulfillment track record?

Decision-Making: Active Intelligence based on Validation Flags
OpenText Active Intelligence combines AI capabilities with an AI chatbot agent to enable
AI-assisted decision-making. When specific flags or indicators are triggered, the system
uses Active Intelligence to automate or predict subsequent processes or tasks. Thisfeature incorporates a ML framework, allowing the system to learn and improve overtime. The AI chatbot facilitates intuitive interactions, using natural language processing tounderstand user queries, provide responses and assist with data exploration.

17

opentext.ai

9. IT Operations & AI
As IT has grown to be a competitive differentiator for modern enterprise business, it hasrelied heavily on automation and AI to deliver agility and operational excellence. Over thelast decade, OpenText IT Ops has led the way in building a scalable operations delivery
platform embedding automation and AI across the full IT operations value chain.
Generative AI now opens the possibility to provide massive, widespread improvements in
IT’s ability to deliver on its key goals: end-user experience (delight), operator productivity(cost) and intelligent automation (operational excellence).

End-User Experience

Operator Productivity

Customer Support

Co-Pilot

Allow self-solve with insightful
answers to requests

Help with simple tasks like autosummarize tickets

Intelligent Search

Troubleshooting

Find insights in documentationand enterprise knowledge

Step-by-step recommendations
to find root cause and remediate

Proactive Assistance

Code Creation

Provide recommendations andanticipate help/needs

SQL-based dashboard andreport creation

Harness Feedback

Content Creation

Leverage feedback and improve
LLM-related services

Knowledge article creation basedon past incident resolutions

Intelligent Automation

Figure 14:
AI supports critical IT Ops goals

Auto-Task Plans
Dynamic task plan andremediation scripts based on
past solves

Multi-Modal Capable
Leverage voice, image &specialized models as part oftask plans

Improve and Align
Learn from previous analysis
cause/effect, and align toobjectives

Auto-Pilot
Autonomous operations likekeeping costs at target for cloudspend

AI is blazing a path to unlock huge benefits, and OpenText IT Operations Aviator looks toharness those capabilities to accelerate growth now and into the far future.

OpenText IT Operations Aviator: Key AI Capabilities
End-User Experience: Virtual Agent and Level-1 Help Desk
Employee productivity will vastly improve as AI reduces disruptions and time spent
solving process problems. Imagine an intelligent virtual agent in OpenText SMAX giving
employees accurate instructions to solve everyday problems (e.g. password change,
access control, etc.), thus eliminating the need for a Level-1 help desk.
Operator Productivity: Intelligent Search, Content Summaries and Recommendations
Level 2/3 operators will now have the superpower of intelligent search and knowledge attheir fingertips, providing ticket summaries and recommending solutions to reduce meantime to repair (MTTR). With hundreds of agents and operators spread across multiple
infrastructure and app monitoring help desks, this can dramatically improve efficiency
and reduce cost.
Intelligent Automation: Script Generation
Our most sophisticated customers have spent substantial time creating a slew of
automation scripts and troubleshooting pathways to solve frequent problems quickly.
With the learning abilities of generative AI, we can soon create automation scripts using
natural language, making organizations more productive.

18

10. DevOps & AI
Integrating AI into DevOps presents a unique opportunity to impact and enhance all
aspects of software delivery, drive innovation and prioritize quality-centric development.
By leveraging AI capabilities, customers can achieve an order of magnitude increase invelocity and dev productivity while ensuring top-notch quality, security and compliance.
With OpenText DevOps Cloud, AI-powered DevOps is the next evolution in enterprisesoftware delivery.

OpenText DevOps Aviator: Key AI Capabilities
Strong AI Foundation: Existing Capabilities Support AI
We have a strong foundation for integrating AI into our platform, with existing capabilities
like actionable insights into digital value stream KPIs (including cycle time, releasevelocity, sprint progress and predictive delivery dates). Additional features include theability to identify bottlenecks and waste, provide strategic decision support with what-if
scenario analysis, apply risk mitigation, and leverage a combination of NLP and computer
vision for robust test resiliency and automation.
With a comprehensive end-to-end planning-to-delivery coverage and context-based
data harmonization, OpenText DevOps is uniquely positioned to deliver accurate andhigh-quality outcomes with AI.
Transforming Agile Planning and Delivery: AI Software Planning, Codeless Test Automation and Chatbots
Some exciting near-term future use cases include AI-driven software planning, agile
delivery, codeless test automation and intelligent guidance through user-friendly chatinterfaces to provide stakeholders with access to powerful insights on project status,bottleneck analysis, quality observations and release predictions. With 69% of IT leaders
saying that the lack of real-time insights hinders software development, AI is poised tomake a dramatic difference.8
Figure 15:
AI forecasting project completion andidentifying risk areas

19

opentext.ai

Quality Assurance: Smart Testing and GovernanceAI-infused smart testing will improve efficiency, save time, and deliver higher quality.
OpenText envisions an “army” of AI QA agents driving the entire quality planning, testdevelopment and automation process.
We are particularly focused on addressing the governance of generative AI output, as
automatically-generated assets become more prevalent. This presents challenges intesting new interfaces such as chat and voice, as well as validating the accuracy of AIgenerated content. Our commitment to quality and testing will ensure compliance and the
expected level of quality in a world where software is written by AI.
Application Delivery: Generative AI for Software Assets Aligned with
Business Constraints
We see opportunities in enterprise-grade application delivery optimized by AI. The next
generation of code “co-pilots” will address enterprise requirements by incorporating
business regulations, cost envelopes and standards into generative AI models. Thisapproach offers numerous benefits, including ensuring compliance, maximizing resource
utilization and optimizing cost. It also enables the production of mockups, wireframes,
functional code, testing assets and infrastructure blueprints aligned with business
requirements and budget constraints.

20

11. Cybersecurity & AI
Cybersecurity is an arms race, and the latest accelerant is AI. Adversaries are using
LLMs to expedite the development of polymorphic malware, craft personalized phishingattacks and find vulnerabilities in source code at scale. The volume of data producedby machines far exceeds that produced by humans—yet organizations must be able toanalyze it if they want to survive.
Attackers have substantial resources at their disposal, but intelligent, integrated
security solutions provide a formidable defense, especially when deployed broadly
across an organization. Precise, efficient and accurate AI is critical to this strategy.
The sophistication of attackers has moved the bar far higher than simple statistics andheuristics; no company can survive without being on the cutting edge of AI.
With our long history of innovation and cybersecurity experience, OpenText is uniquely
positioned to embed AI into our security solutions and deliver the next generation of
defense to our customers.

OpenText Cybersecurity Aviator: Key AI Capabilities
Real-Time Threat Detection: AI-Powered Security
Every month, OpenText processes more than 100 billion real-time decisions from our AIpowered APIs at the heart of our cloud-based defense network. This system leverages
our multi-petabyte data lake of historical threat intelligence, against which event datafrom millions of sources is evaluated, correlated and modeled.
With AI-enabled intelligence, our system can connect the dots from disparate events andsee a complete perspective of an attack, due to the breadth and scope of our solutions.
For example, knowledge gleaned analyzing a suspicious packet sent to a consumeruser’s laptop in Brazil immediately protects a mission-critical large enterprise server in
Ireland, all because we are able to categorize the content instantly and accurately as itis received.
Figure 16:
AI classifier module finding relationships
between threats

It is through this intelligent system that we are able to stop countless attacks worldwide
every day. Individual layers and point products are not sufficiently effective. The
best defense is a wide lens integrated across solutions, powered by bespoke AI
models, embedded and enriched at every layer, and constantly evolving to stay aheadof attackers.
21

opentext.ai

12. Experience & AI
Organizations are constantly seeking to deliver exceptional experiences to theircustomers. And customers are demanding it. In fact, 88% of customers say theexperience a company provides is as important as its product or services (up from 80%
in 2020) and 73% say they expect companies to understand their unique needs andexpectations (up from 66% in 2020).9
AI is a powerful tool in this endeavor, offering tremendous potential for transforming
digital experiences. By leveraging emerging AI capabilities, organizations can enhancecustomer satisfaction, improve efficiency and drive growth.
The OpenText Experience Cloud already harnesses the power of AI, enablingorganizations to personalize content, streamline processes and deliver exceptional user
experiences. With the latest advances in LLMs and generative AI, we are further elevatingthese digital experiences.

OpenText Experience Aviator: Key AI Capabilities
Intelligent Content Creation: AI-Assisted Authoring
Content creation is a time-consuming process, but AI can streamline and optimize it.
OpenText currently provides AI-Assisted Authoring in Exstream and TeamSite to help
content authors improve readability. AI recommends language that will appeal to aparticular audience and searches for images from our Digital Asset Management tocomplement a communications campaign.
With the upcoming addition of AI-generated content, businesses will be able to increase
their content production capacity, maintain consistency, and deliver relevant, freshand engaging communications to their targeted audiences, which enhances the overall
digital experience.
Figure 17:
Generate intelligent automated text

Experience Aviator generating a customer
welcome letter

Describe what you would like to create
Write welcome letter for a new investment services customer
Generate
Your generated text
Dear [NewCustomerName],
I am writing to welcome you to [CompanyName]! We are so excited to have you as a new customer and look forward to
helping you achieve your financial goals.
We are confident that you will be happy with our services. We are committed to providing our customers with thehighest level of service and support.
Thank you for choosing [CompanyName]. We look forward to working with you!
Sincerely,[AgentName]
CancelInsert22

Governance of generated content has become a particular challenge, as there are many
unknowns and risks related to the IP status of such content. In some cases, information
created through generative AI technology cannot be copyrighted, which brings many
challenges for global brands and enterprises. Experience Management solutions (CCM,
CMS, DAM) can provide transparency regarding the provenance of all created content
and assist in automating how such content is processed and used.
Enhance Personalization and Recommendations: Predictive Analytics
By leveraging predictive analytics, organizations can anticipate customer behavior,
identify key indicators of successful versus unsuccessful customer journeys, and analyze
market trends and demand patterns. These insights allow businesses to optimize theirdigital experiences by aligning themselves with customer expectations. Historical
data collected through the OpenText Experience Cloud enables patterns and trends
to be identified which, in turn, can be used to continuously improve individual digital
experiences. This starts with building highly personalized customer and user profiles(OpenText Experience CDP), which, when combined with actionable insights (sentiment,
behavior, emergent journey patterns and preferences, intent, etc.), will become thefoundation for automated conversational experiences.
This derived knowledge also enables organizations to automatically create highly
personalized communications which can be generated and delivered through OpenText
Experience Cloud (Exstream, TeamSite, Notifications, Qfiniti, etc.).
Elevate Customer Service Interactions: Chatbots and Virtual Assistants
AI-powered chatbots and virtual assistants have revolutionized customer service
interactions. These intelligent systems employ natural language processing and machinelearning to understand and respond to customer queries in real time. Improvements in
LLM-driven AI will enable chatbots to learn from customer interactions, improving theircapabilities over time and delivering increasingly personalized, immersive and intuitive
digital experiences.
In fact, the human interactions of the Contact Center represent the ultimate learning
data set for how to recognize individual customer challenges, as well as conditions thatlead to successful (or unsuccessful) outcomes. This learning data is essential to creating
optimal prompts for LLM technologies that can bring faster resolutions for customers andincreased lifetime value for businesses.

23

opentext.ai

13. IoT & AI
Technology is getting smaller. The cost of an RFID tag is approaching a penny. Everything
will have a tag, and these tags or sensors are becoming more and more sophisticated—
not just tracking location, but also reporting on other types of data including temperature,pressure, vibration, acceleration and more. Wearables, manufacturing parts, medical
devices, industrial components, and even groceries will be tagged and tracked.
We are on the verge of an IoT explosion, which will be measured not in the millions orbillions, but trillions. Each piece of data, generated from this enormity of IoT sensors, will
feed into AI that will turn it into insights in real time.
OpenText IoT Cloud is a new solution that will enable our customers to take advantageof the synergies of IoT and AI working together to produce unparalleled insights
and capabilities.

Introducing OpenText IoT Cloud
Our top priority for OpenText IoT Cloud is to provide a solution that helps our customers
reduce cost and drive new revenue. It will offer full IoT service underpinned by AI,
including communication, asset tracking and monitoring, an event engine, process
automation, security, machine learning, analytics and more.
With our wide expertise and deep knowledge, we are building OpenText IoT Cloudto simplify the dense ecosystem of options and shrink our customers’ time to value.
Customers will be able to build upon their existing OpenText technology to achieve an
integrated IoT experience.

Introducing OpenText IoT Cloud

Figure 18:

Real-time Internet API, Scalable to Trillions of Events, Standards-based
Magellan BI& Reporting

Orchestration

Routing

Rules Engine

APIs
DeviceConfiguration
Database

Event Engine

Integrations

Analytics

Identity and Authorization

Real-time
IoT API

Device Identity and Authorization

PublicInternet

Messaging (MQTT, HTTPS, STOMP, AMQP)

DeviceIngress

OpenText IoT Cloud, tracking individual
avocados in real time

PublicInternet

Customer
Applications
Data
Transformation& Enrichment
Reporting

Messaging, Identity, Security, Analytics

Tens of millions
of individual
radio tags

Delivery, freshness,
commerce

IoT Cloud can ingest sensor data from any internet protocol (MQTT, HTTP, FTP andmore). Once it has that data, it runs sophisticated security and authorization checks.
Then it applies a powerful set of tools to the data, compares the data against predefinedrules and parameters, and triggers notifications and alerts based on the results of thosecomparisons. It then routes that data to other applications and data sources.

24For example, in the case of produce, IoT Cloud can track fruit from farm to table. It
pulls sensor data to determine when produce left the farm, calculates the best routefor delivery based on newsfeeds and traffic reports, and reveals how much fruit waslost en route, triggering the business to investigate to prevent future losses, as well as
discovering how much produce arrived to its location and how much was sold.
Data is stored in OpenText’s Vertica analytical database and tied to our businessintelligence tools, so that organizations get real-time insights on their data. We alsodeliver in-database machine learning, to enable predictive maintenance, anomaly
detection and other cases. And we provide a powerful set of APIs. Customers canactually tie into our IoT Cloud platform and build their own applications on top of it.
Available as SaaS and defined APIs, OpenText IoT cloud will empower businesses toquickly assess operational performance and transform data into easy-to-understandinformation that drives better decision-making.

25

opentext.ai

14. OpenText’s AI Foundation
Information is everywhere. An organization might have years of data in its structured
databases and millions of documents in its content management systems. On top of that,it could also have massive amounts of information in collaboration tools, smart devices,sensors, chat and video calls.
Data is an organization’s most strategic asset, and opentext.ai can help businesses get
the most out of it. Our foundational AI tooling in Magellan, IDOL and Vertica delivers
advanced data access and analytics to help organizations gain the insight they need tomake better decisions and work smarter.
Figure 19:

OpenText Aviator

Foundations of opentext.ai

Common Query API – Analytics, Insights, Generative
Algorithms, Machine Learning, LLM
Best of OT

Vertica

IDOL

BI• Threat API(BrightCloud)

Query
EngineQueryEngineBI &Reports

Data
Warehouse

Statistical
Store

ReportingDB• Interset• Reinforcement
Learning

Enrichment
PeopleDiscovery
Data
Insights

PlacesIntegration
DB
ThingsConnectors
Operational Data

Experience Data

Learning Data

Get Full Data Access & Analysis
By leveraging AI across the enterprise, organizations can unlock all of their information
and analyze data from any source, in any format, using OpenText’s extensive capabilities:•

IDOL KeyView: Crack open any document and extract text and metadata from avariety of file formats on many platforms. KeyView can automatically recognize data
in 1,500 document types.

•

APIs: Pass in data from every collaboration platform and treat messages and chat as
first-class citizens in your pursuit of the information advantage.

•

IDOL Eduction: Solve compliance issues by identifying PII from every country, using
advanced semantics.

•

Magellan Risk Guard: Gain ongoing oversight of your content by building adashboard of risk, and identifying inappropriate language and tone using highly tuned
classifiers and advanced NLP.

•

Magellan Text Mining: Enrich and classify your data with composite AI rules that you
can use out of the box or tune yourself.

•

IDOL Media Server: Extract information locked up in audio and video files, deploying
advanced machine learning to further identify objects in your media collection, saving
hours of precious time.
26

Go Deeper
Surfacing your information is just the beginning. Get modern, end-to-end analytics forboth structured and unstructured data.
•

Magellan Data Discovery: Unlock hidden answers in your structured data and apply
ML algorithms to gain insights. Perform rapid transformations of your structured data
feeds and visually identify patterns, merging many data sets into one.

•

IDOL Find: Index your information and make it discoverable through the best searchplatform in the world. In the near future, turn to IDOL for creating embeddings of yourcontent. Vector searching will give your enterprise a power-up button, enabling you
to find and action similar content.
Using tuned and enterprise-safe LLMs with IDOL Find will power new applications like
automated attendants, research and chat discovery. IDOL Find matches your access
control and permissions, so you can securely offer the best of traditional search,knowledge graphs, vectors and LLMs.

Get insights from all your data
Data Sources

Data Lakehouse
SocialIoT
Voice, Video and Sound
Realtime and Streaming

Insights

Reporting and Dashboards

Enterprise Data

Daily Reports

Predictive
Analytics

Data Discovery

Figure 20:

Predictive Maintenance

Unstructured Data Analytics

Embedded Analytics

In-Database Machine Learning

Facial Recognition /Law Enforcement

IDOL voice, video, soundAny-Scale Analytics

Large-Scale Data Processing
Vertica data lakehouse

Magellan

IDOL

Vertica

Scale UpYou no longer have to struggle with machine-scale problems. Get business value frommachine learning faster and more easily.
•

OpenText IoT: Centralize all of your sensor data, and combine analytics with AI and
ML to transform data into easy-to-understand visual information.

•

Vertica: Comfortably scale to trillions of records a day, easily tackling the mostdemanding structured data loads. It doesn’t matter if your data is ultra-wide orenormous in record count—Vertica can tame it. Vertica’s integration with common
data formats, such as Iceberg, means you have the power to upgrade your data lake
to new structured data insights.

•

Vertica Compliance (coming soon!): Bring your semi-structured data to Vertica anduse forthcoming Vertica Compliance to harness the power of content analytics toidentify risk and patterns in your structured data.

•

VerticaPy: Bring machine learning across all of your data and carry out your analytics
directly in the database. No need to spend costly time moving your data into data
science platforms.

27

Get insights from all your data with
OpenText Magellan, IDOL and Vertica

opentext.ai•

Magellan Business Intelligence and Reporting: Share visual insights from yourbiggest data repositories.

•

APIs: For custom or specialized applications, leverage the OpenText suite of APIs
across these solutions to power new applications for your enterprise.

AI foundational solutions from OpenText surface enterprise information, givingorganizations the power to organize, analyze and visualize. Businesses get thestrategic insights they need to make every decision data-driven, and predict and act onvital opportunities.

28

15. In Summary“Any sufficiently advanced technology is indistinguishable from magic.”-Arthur C. Clarke

It is truly a gift to be living during the dawn of the Cognitive Era.
At the same time, change can feel uncomfortable and challenging. We must lean in andlearn. The future is going to be human + AI.
OpenText is embracing AI wholeheartedly. We are integrating and embedding it into themajor aspects of our solutions, creating cognitive systems that will redefine our own andour customers’ relationship with technology.
Information management is foundational to AI and we are expanding our mission again
with opentext.ai, Aviator, IDOL, Vertica and IoT. Each of our business clouds, over time,
will support automation, transactions, graphical user interfaces, and now, AI tools andconversational UIs.
Our goal is to be your trusted partner on your AI journey.
The next few years will transform OpenText. The Cognitive Era will change the way
machines, people and organizations use and experience information to work andcollaborate, how supply chains are created and managed, how individuals experience andtrust information, and how we can truly deliver on the promise of technology.
At OpenText, we see a future where every company and every individual canuse information to become their best and elevate beyond what they previously
thought possible.
With AI, everything must change.

29

opentext.ai

Acknowledgements
Thank you to all of the amazing contributors and reviewers who helped produce thisposition paper: DeeDee Andrews, Dena Bauckman, Daniel Casco, Daniel Christensen,
Michael Cybala, Marc Diefenbruch, Guy Hellier, Joe Jaroch, Tal Levi Joseph, Bruce Kiefer,
Stephen Ludlow, Muhi Majzoub, Vikas Mathur, Sandy Ono, Sushil Pancholi, John Radko,
Nicole Redford, Scott Richards, Lars Rossen, Sunnie Rothenburger, Scott Schultz,
Kevin Sy and Anthony Wiley.
Also, thank you to the whole OpenText global team, who have worked hard to ensure weare offering the best AI solutions to our customers.

30

Endnotes
A ni Petrosyan, “Number of internet and social media users worldwide

1

as of April 2023,” Statista, May 22, 2023, https://www.statista.com/
statistics/617136/digital-population-worldwide/ (accessed July 2023).
2

M ark J. Barrenechea, e-Business or Out of Business, McGraw-Hill, 2001.

3

“The economic potential of generative AI: the next productivity
frontier,” McKinsey Digital, June 14, 2023, https://www.mckinsey.com/
capabilities/mckinsey-digital/our-insights/the-economic-potential-ofgenerative-ai-the-next-productivity-frontier (accessed July 2023).

Ibid.

4

5

Paul Daugherty et al., “A new era of generative AI for everyone,”
Accenture, 2023, https://www.accenture.com/content/dam/accenture/
final/accenture-com/document/Accenture-A-New-Era-of-GenerativeAI-for-Everyone.pdf (accessed July 2023).

6

“ OpenText named a leader in Content Platforms for 2023,” OpenText,
March 27, 2023, https://www.opentext.com/about/press-releases/
opentext-named-content-services-leader-for-2023 (accessed
July 2023).

7

“ Micro Focus Earns Leader Status in the GigaOm Radar for Cloud
Observability Solutions,” OpenText, June 29, 2022, https://www.
microfocus.com/en-us/press-room/press-releases/2022/micro-focusearns-leader-status-in-the-gigaom-radar-for-cloud-observabilitysolutions (accessed July 2023).

8

A ndrew Magarie and Andrea Mendez Otero, “VSM Solutions Deliver
Real Business Impact,” Forrester, October 2022, https://www.
microfocus.com/media/report/vsm-solutions-deliver-real-businessimpact-report.pdf (accessed July 2023).

9

“ Salesforce State of the Connected Customer, Fifth Edition,” Salesforce,
2022, https://www.salesforce.com/content/dam/web/en_us/www/
documents/research/salesforce-state-of-the-connected-customerfifth-ed.pdf (accessed July 2023).

31

opentext.ai

Forward-Looking Statement
Certain statements in this paper may contain words considered forward-looking statements or information under applicablesecurities laws. These statements are based on OpenText’s current expectations, estimates, forecasts and projections about
the operating environment, economies and markets in which the company operates. These statements are subject to important
assumptions, risks and uncertainties that are difficult to predict, and the actual outcome may be materially different. OpenText’s
assumptions, although considered reasonable by the company on the date of publishing, may prove to be inaccurate andconsequently its actual results could differ materially from the expectations set out herein. For additional information with respect
to risks and other factors which could occur, see OpenText’s Annual Report on Form 10-K, Quarterly Reports on Form 10-Q andother securities filings with the SEC and other securities regulators. Readers are cautioned not to place undue reliance upon
any such forward-looking statements, which speak only as of the date made. Unless otherwise required by applicable securities
laws, OpenText disclaims any intention or obligations to update or revise any forward-looking statements, whether as a result of
new information, future events or otherwise. Further, readers should note that we may announce information using our website,
press releases, securities law filings, public conference calls, webcasts and the social media channels identified on the Investors
section of our website (https://investors.opentext.com). Such social media channels may include the Company’s or our CEO’s
blog, Twitter account or LinkedIn account. The information posted through such channels may be material. Accordingly, readers
should monitor such channels in addition to our other forms of communication.

32

opentext.ai

About OpenText
OpenText, The Information Company, enables organizations to gain insight through market leading information management solutions,on-premises or in the cloud. For more information about OpenText (NASDAQ: OTEX, TSX: OTEX) visit www.opentext.com.

Connect with us
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