Continuous Intelligence for Manufacturing by Radicalbit

1. The information contained in this document is owned by Bitrock S.r.l. and
recipient of the document. This information is closely related to the
discussions that have been accompanied by them and can only be used by
people who have attended the presentation. Copying, publishing or
distributing the material contained in this document is prohibited and may
be illegal.
Continuous Intelligence for
Manufacturing
An easy to apply solution aimed at creating tangible business value
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2. Scenario Overview

3. IoT Machinery Data Analytics
“Data is the new oil”, how often have we heard this statement in the last 5 years? Never
before has this been truer, especially in the manufacturing industry.
Machines and production lines are generating high volumes of data, with high granularity and in
a continuous way. Those data can (must) be used to create tangible value for the company,
something measurable also in terms of time to market and efficiency, hence, improved
economics and margins.
BITROCK | Data Driven Manufacturing
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4. Many companies have already adopted the Industry 4.0
paradigm, applying Artificial Intelligence to complex dataset,
trying to get in return actionable insights in order to achieve
ambitious yet fundamentals goals:
■ Reduce Energy consumption
■ Adopt a predictive maintenance approach
■ Increase processes efficiency (chemical reactions)
■ Reduce waste of raw material
■ Increase life expectancy of precision tools
■ …
However, they’re using a “static” approach, working on historical
data, being able to act only AFTER the analysis is completed and
on the NEXT day, process, shift.
ARTIFICIAL
INTELLIGENCE
AND
IIoT (Industrial IoT)
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BITROCK | Data Driven Manufacturing

5. A NEW PARADIGM: MOVING FROM STATIC TO
DYNAMIC
In the last few years, a new paradigm for advanced analytics has
emerged: Event Stream Processing (ESP). It is the ability to process
data in motion, i.e. to start processing events as soon as they happen,
within few milliseconds. This paradigm, combined with A.I., enables a
complete new approach to IoT Data Analytics, shifting to a Dynamic
Model:
The actionable insights are now IMMEDIATELY AVAILABLE, during
the process, not after.
Key benefits
■ Avoid errors and apply corrections dynamically, during the
process
■ Continuous monitoring of the processes, enabling immediate
response to anomalies
■ Readiness to evolve into a Continuous Intelligence application
(the next wave in Analytics)
A.I.
+
STREAM
PROCESSING
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BITROCK | Data Driven Manufacturing

6. The Bitrock Approach
How we work

7. Technology is an important element of
this approach: without the right tools
the recipe just doesn’t work.
At Bitrock we chose RNA, Radicalbit
innovative DataOps and MLOps
Platform, a system designed to work
with Stream processing and A.I. in order
to provide critical information in real
time, generating true valuable
information.
A solution heavily based on Kafka, the
“de facto” standard when it comes to data
streaming.
THE RIGHT TECHNOLOGY
BITROCK | Data Driven Manufacturing
IoT Data
Historical
Data
Planning
Optimization
Real time
Dashboard
Real-time
Alerting
Energy
Consumption
Predictive
Maintenance
Machine
Learning
Stream
Processing

8. Feedback Cycle on
Autonomous
Intelligence
Intelligence
Improvements
BUSINESS
OPERATIONS
Connect Collect Design Application Scale
Continuous Intelligence
In order to achieve business relevant results, we designed a detailed methodology involving both technology and processes.
Each phase represents a step forward towards the Continuous Intelligence approach, making the entire journey more manageable
and under control.
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A PROVEN METHODOLOGY
Connect seamlessly
to any industrial
device through a IoT
dedicated Gateway
Collect data in quasi
real-time (under
second), with retention
strategy on edge
Design the perfect model
using a set of predefined
ML model sets
Apply to production line
gradually, allowing ROI
control
Scale to enterprise
system by integrating
WMS, MES, ERP
BITROCK | Data Driven Manufacturing

9. Each case is unique, each industrial process has its own variables and general economics. There isn’t a universal recipe that can be
applied in order to grant savings and efficiency. That’s the reason why at Bitrock we developed a process designed to help companies
to adopt the real-time AI/ML paradigm, only when it’s relevant for the business perspective.
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WITH A MODULAR & FLEXIBLE PROCESS
BUSINESS
OPERATIONS
Business Case Technical Pre-analysis Pilot Scale to production Run & Maintain
The Business Case will be
technically evaluated by
Bitrock in order to produce
a first benefit hypothesis
During this phase the Customer
and Bitrock will work together in
order to define the potential
business case and the relevant
metrics for the goal (energy
efficiency, raw material waste
reduction, process optimization,
etc). Furthermore, Bitrock will
determine if the available data will
be enough to start the
pre-analysis.
Business Case selection
and potential goals
definition
Dataset Analysis
Preliminary data modelling
preliminary test on potential
results
Preliminary evaluation and
report on business impact
Data modelling and model
training
On field data gathering
(real-time)
Testing of the model on
real-time live data
Results evaluation & reports
Pilot design and
development
Model fine tuning and process
optimization
Live in production and
maintenance
Model refinement and
feedback-based fine tuning
Close monitoring and results
validation
Final business impact report
Ongoing constant monitoring
model re-training when
needed
Check &
Way Out Option
Check &
Way Out Option
Check &
Way Out Option
BITROCK | Data Driven Manufacturing

10. Depending on the context, the Bitrock integrated solution could work to cover several impactful business cases
using a single end-to-end platform managing the entire data lifecycle: from the on-field data gathering through a
dedicated gateway, to the Machine Learning dynamic deployment, up to the integration with the most popular
business intelligence applications or resident systems (ERP, WMS, MES).
Among the potential business cases:
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ENABLING BUSINESS-RELEVANT USE CASES WITH A SINGLE PLATFORM
BITROCK | Data Driven Manufacturing
■ Predictive Maintenance
■ Machinery life-cycle Optimization
■ Energy Consumption Optimization
■ Production efficiency (reduce raw material waste, increase productivity)

11. BITROCK
Company Profile

12. Bitrock is a high-end technology and consulting company that helps Customers design, develop and sustain Business Driven
Software Infrastructures and Applications, providing knowledge, experience and unparalleled skills.
We work with major, structured organizations from different industries, whose satisfaction represents our biggest success.
In the last years, we have carried out over 70 successful projects, with over 15.500 man days delivered on
event-based architectures, providing cutting-edge technology to more than 50 International Customers.
Partnerships:
with Lightbend since 2013
with Radicalbit since 2015
Platinum Training Partner Lightbend since 2016
Premier Partner of Confluent since 2018
HashiCorp Enabled Partner since 2020
70% of our projects are based on Scala & Reactive Applications
bitrock.it
info@bitrock.it
BITROCK IN A NUTSHELL
Over 85 skilled and passionate professionals
Over 35 permanent collaborators
Treviso
Office and Operational HQ
Viale della Repubblica 156/a - 31100 Treviso (TV)
Phone: + 39 0422 1600025
Milano
Operational HQ
Via Borsieri 41 - 20159 Milano (MI)
Phone: +39 02 3792059
Lugano (CH)
Bitrock SAGL
Via Alla Campagna 2A - 6904
Lugano
Phone: +39 02 37920598
BITROCK | Data Driven Manufacturing

13. Bitrock delivers services and solutions in 4 main areas: DevOps & SRE, Custom Software Design & Development, Data &
Analytics, and User Experience & Front-End Engineering.
DEVOPS & SRE
- Containerization
- CI/CD/CDD Automation
- Orchestration & Application definition
- Service Proxy, Discovery & Mesh
- Networking, Policy & Security
- Observability, Telemetry, Logging & Analysis
- Infrastructure Automation
- Site Reliability Engineering
SOFTWARE ENGINEERING
- Architectural Design
- Process Analysis & Design (Domain Events)
- Legacy code Modernization & Redesign
- Modern Approach to Software Development
DATA & ANALYTICS
- Advanced Analytics
- Streaming Analytics
- Data Visualization
- Streaming ETL
USER EXPERIENCE & FRONT-END ENGINEERING
Thanks to our expertise, we know how to apply the latest technologies and frameworks to the front-end development process - both
web applications (Angular, Vue and React) and mobile (iOS and Android). Our custom, user-centered interfaces are able to adapt to the
complex systems enterprises require today, by delivering a smarter and smoother digital experience to users.
OUR SERVICES
Technology Enablers
BITROCK | Data Driven Manufacturing

14. We ensure that our Clients benefit from enterprise-level technology infrastructure,
applications, and solutions, resulting in enhanced productivity and improved business success.
We believe in the holistic approach for improvement of companies’ standing. By looking at the
bigger picture, we offer end-to-end IT solutions, which are a rare mix of cutting-edge
technology and unrivaled experience.
360° CONSULTING SERVICES
We will coordinate and prioritize your
business and IT strategies to achieve your
business goals, no matter how complicated
your business processes are, or how diverse
your IT processes and information
architectures are.
We can cover all main areas of your company's
technology environment thanks to our
integrated, end-to-end approach.
END-TO-END APPROACH
BITROCK | Data Driven Manufacturing

15. The information contained in this document is owned by Bitrock S.r.l. and recipient of the
document. This information is closely related to the discussions that have been
accompanied by them and can only be used by people who have attended the
presentation. Copying, publishing or distributing the material contained in this document
is prohibited and may be illegal.
THANK YOU
sales@bitrock.it