The document discusses the challenges and risks associated with legacy applications in corporate environments, emphasizing high maintenance costs, data loss risks, and difficulties in integrating with modern systems. It presents an alternative using a low-code, intelligent application development platform, which enhances operational efficiency, reduces risks, and provides real-time analytics while ensuring security and flexibility. Additionally, it highlights the potential of artificial intelligence and robotic process automation to improve various business functions and customer satisfaction.

1. Rhea - Because Data Matters
Corporate presentation

2. Legacy and Self-Service Applications
A legacy application is like an antique car – it may continue to operate, but every
additional year of usage makes it more fragile and expensive.
High maintenance cost
User privacy has never been more important. Data should never reside on employee
computers and should only ever be accessible by the designated processor.
Insecure
Legacy systems are not suited to a corporate that is growing through mergers and
acquisitions. These systems are unable to easily connect and talk to other systems.
Closed
Almost all legacy applications suffer from a high risk of data loss usually willing or
unwillingly when an employee leaves an organization.
Data loss
Legacy systems typically require the end user to perform numerous tedious tasks which
usually involve a lot of copy/paste, introducing errors and taking up valuable time.
Tedious

3. Intelligent Application Development

4. Quickly build applications to optimize any
process across people with virtually no code.
Battle tested and improved for over a decade
on a wide range of customer projects.
LOW-CODE
FAST
SECURE
OPEN
INTELLIGENT
Build with fast, clean and light-weight code to
minimize platform overhead. Our REST based
architecture allows you to scale out easily.
Secure by design with built-in fine grained
access control per user or application group.
Our platform is revised on a regular basis for
security flaws by an external security partner.
Components can be easily customized to the needs
of every project, providing ultimate flexibility. With
the full power of the .NET Framework and access
to all of our source code, you are never locked in.
Intelligent automation enhances process quality,
reduces risk and optimizes your operations. Real-time
analytics and insights allow you to govern, analyse,
and drive the efficiency of your business processes.
Our Application Platform

5. Low-code
Simple
Modular approach with quick, simple and
streamlined coding for time gain and process
automation
Easy
Build to work across the thinking principles of
different existing platforms it’s easy for your
team of developers to understand for further
internal compatibility tests Tested
At different client projects a certainty of smooth
operational easy is attained through the set-up of the
testing in our test centre.
Quick
A fraction of the time is needed in regards of
programming due to it’s simplified code

6. Fast
Lightning fast code
Continuously monitored base code where
every millisecond is evaluated.
Low network traffic
Light-weight communication ensures your
application is fast even with a bad connection.
Monitoring tools
Built-in monitoring tools keeps developers
in control over application performance.
Cloud scaling
Cloud optimized scaling architecture allows
your application to grow with your users.

7. Secure
Secure by Design
Application flow is controlled by security.
Hide sensitive data
Avoid having sensitive data on your screen with
prying eyes around you.
Threat detection
Get notified when suspicious behavior is detected.
Users can be throttled or blocked automatically.
External audited
Regularly audited by 3rd party security experts.

8. Open
Integrate with anything
Easily connect to other data sources and let other
applications connect to yours.
Open Source
Full source code available via GitHub and Blueprint License.
Full power of .NET
Developers can take advantage of the full .NET framework.
Device Independent
Applications are accessible from your phone, tablet
or desktop.
.NET

9. SENSE ANALYSE
ACT DECIDE
INTELLIGENT AUTOMATION
Incoming data such as e-mail, service
desk ticket, tweet, IoT data, ... Identify, analyse, classify, predict, …
Business Logic, patterns, heuristics, …Processes, scripts, functions, bots, …
Intelligent

10. Intelligent Data Infrastructure

11. Interconnected principle
Interconnect and assimilate different data lakes and
applications, analyse all the stored information and
generate a communication between your different
lakes, This live for critical systems and in the form of
reporting for daily, weekly, monthly and yearly needs

12. Our infrastructure platform
Intelligent automation enhances process quality,
reduces risk and optimizes your operations. Real-time
analytics and insights allow you to govern, analyse,
and drive the efficiency of your business processes.
Secure by design with built-in fine grained
access control per user or application group.
Our platform is revised on a regular basis for
security flaws by an external security partner.
integrated is dual in its original set-up. In one
set-up we are giving our customers the
possibility to integrate our IAD in a bigger
system to ensure workflows not only stay
smooth, but are enhanced in itself; in the
other set-up we are actually going further in
designing the master system where different
applications (open applications) will be able
to latch on to and become part of the
overhead applicative system in itself

13. Integrated
Externally
Integration possibilities for 3rd party applications
Internally
Integration possibilities with existing applications or data
lakes
Build To Last
Made to be future proof and integrate with future
technologies.
Optimised
Made to seemingly work together with different
types of Data sources.

14. Augmented Data Reality

15. The next steps in corporate evolution

16. Internet Of Things
In close collaboration with our clients
Rhea creates an environment where we
can combine different live information
streams (whether it be sensors, SCADA
systems or BMS systems) with your
already existing applications and data
lakes to render all this information
through one and single portal and system.

17. Robotic Process Automation
instead of visually checking if all systems
are green, the RPA will do it for you and
only communicate with you when there is
an actual problem. For some issues you
could use an RPA to automatically resolve
these issues as well and in doing so avoid
human interactions and free up time for
new projects.

18. Artificial Intelligence
Our focus in regards of artificial
Intelligence integration is mainly around
the sub-speciality: Industrial Artificial
intelligence.
Unlike general artificial intelligence which
is a frontier research discipline to build
computerized systems that perform tasks
requiring human intelligence, industrial AI
is more concerned with the application of
such technologies to address industrial
pain-points for customer value creation,
productivity improvement, and insight
discovery

19. The Intelligent Revolution
75%
of organizations
implementing AI
increase sales of
products and
services by
more than
10%
Revenue
78%
of organizations
implementing AI
increase
operational
efficiency by
more than
10%
Efficiency
75%
of organizations
using AI
enhance
customer
satisfaction by
more than
10%
Satisfaction
79%
of organizations
implementing AI
generate new
insights and
better analysis
Insights
Source: Capgemini Digital Transformation Institute: https://www.capgemini.com/gb-en/wp-content/uploads/sites/3/2017/09/dti-ai-report_final1-1.pdf

20. Example of Use Cases
Sales ⮚ Predictive sales, lead generation, sales forecasting, sales calls analytics, …
Customer Service ⮚ Chatbot, call analytics, survey & review analytics, voice authentication, …
IT ⮚ Predictive analytics for security, image recognition, software development effectiveness, …
Operations ⮚ RPA, predictive maintenance, manufacturing analytics, …
HR ⮚ Hiring, performance management, employee monitoring, digital assistant, …
Fintech ⮚ Fraud detection, financial analytics, credit lending/scoring, debt collection, billing, …
Healthcare ⮚ Patient data analytics, personalized medications, early diagnosis, medical imaging insights, …
Source: https://appliedai.com/use-cases/1

21. Q&A