FUJITSU 162023 DX Innovation Platform Business Instruction Manual
- June 15, 2024
- FUJITSU
Table of Contents
- 162023 DX Innovation Platform Business
- Fujitsu Lighthouse:
- Containerization in etail
- AI in Retail
- This is how they do in Retail
- Data Science in Professional Services
- AI in Profession al Services
- This is how they do in Professional Services
- Containerization in Manufacturing
- AI in Manufacturing
- This is how they do it: A Manufacturing Life Case
- Start your Business Model Innovation today
- Read User Manual Online (PDF format)
- Download This Manual (PDF format)
162023 DX Innovation Platform Business
This is how innovators do it
How latest IT Innovations are impacting traditional business models and
creating new economic opportunities.
Reinventing traditional business models has become a reliable pattern of
success in the digital economy.
Boost your productivity with AI With artificial intelligence, what may sound
incompatible today could well be a factor for success tomorrow. For example,
you will find new ways to counteract the shortage of skilled workers whilst at
the same time increase productivity and efficiency.
Fujitsu is one of the pioneers in the field of artificial intelligence and is
one of the six companies that have registered the most patents in this area.
Together with customers, our IT engineers are working on a wide range of
business ideas based on advanced AI technologies.
Scale your business by containerizing your application landscape
In all modern businesses software must run smoothly and without downtime. For
this business goal, the concept of containerization has become very popular.
The intelligent packaging of software applications and their dependencies
ensures portable, efficient, yet easy distribution. Business decisionmakers
should be aware of the implications, as it allows them to significantly
minimize risks when entering new markets or testing new business
opportunities.
Three major trends, and one innovation platform for risk-free testing of how
to profit from them…
The future belongs to data. Key IT technologies such as artificial
intelligence, data science and containerization will play an important role in
improving decisions. What is it you want to reinvent, redesign or relaunch?
With the DX Innovation Platform, Fujitsu provides your IT with the space to
try out your new business ideas.
The Test Drives provide you with an accessible, simple, and secure way to try
your AI, data and container applications. In a state-of-the-art architecture,
tailored to your needs.
No matter where you are: We are here to help you start your data-driven
journey.
… and the Business
Model to makes it happen:
Fujitsu uSCALE
Fujitsu uSCALE is the perfect commercial model for remaining financially
flexible while at the same time investing in the latest technology.
It delivers flexible, monthly billed on-premises IT infrastructures
“as-a-service” solution based on an in-depth review of your specific
need. Leverage the DX Innovation Platform to
identify your next big thing. Together, we also thoughtfully design the
infrastructure that takes into account your business requirements.
Fujitsu uSCALE ensures the flexibility and data security you need for the
realization and implementation in your on-premise datacenter.
Scale up or down and pay only for what you use – while keeping your data in
house.
Fujitsu Lighthouse:
Innovation and technology moving hand in hand
What is your vision for a business model that fully exploits the possibilities
of innovative IT concepts? Tell us and apply for the unique Fujitsu Lighthouse
Initiative. We offer you exclusive and free
support from the Fujitsu DX Innovation Team! There is also the possibility to
benefit from a project support pool of €100.000. Read more about this new
approach to shaping your winning formula in today’s digitalized economies on
page 16. With this in mind, we hope you enjoy our little compendium of
Innovation for AI, Data Science, and containerization.
Be inspired!
Browse through the variety of innovation scenarios for a range of selected
industries. If you feel inspired, discuss your case with our experts or
register directly for the unique Lighthouse Initiative. Find out more on page
16 of this document.
Containerization in etail
Scale your business applying containerization to your retail experience
Containerization enables retailers to deliver a consistent shopping experience
across various platforms, such as desktops, mobile devices, and in-store
kiosks. By packaging their applications and services in containers, retailers
can ensure that customers have a seamless and uniform experience regardless of
the device or platform they are using.
It enables companies to handle high volumes of online traffic while
maintaining the best performance during peak shopping seasons, such as
holidays or major sales events. The inventory management processes can also be
optimized with containerized applications to track inventory levels, monitor
stock movements, and manage logistics in real-time.
AI in Retail
It seems like AI was invented for retail – are you ready for the
next level?
Retail is a margin business. The math is dominated by the economies of scale.
Anyone who wants to be successful here must – to put it briefly – automate as
much as possible. With AI, the possibilities of doing more with less reach a
whole new level.
Future needs and inventory planning can be unbiasedly and accurately
predicted. Automated customer journeys, including intelligent automated
customer care, will enable retailers to get the best possible economic results
from their customers’ online visits. Virtual shopping assistants and chatbots
will provide customers with ideas and solutions around the clock.
Or are you thinking of smart solution for your core retail processes? Well, AI
will also dramatically increase productivity through, for example, intelligent
inventory optimization to ensure efficient stock management, fraud detection
and prevention, and proactive waste prevention. So – what’s your business
challenge? Tell us what you have in mind for better margins and more
efficiency.
This is how they do in Retail
Innovate your retail business:
This is how they do it!
Working with a true global market leader in kitchen appliances, household
goods, Fujitsu is revolutionizing the way information is delivered with
automatically generated product information. Our client is a true omnichannel
pioneer – sales are carried out via their own website, partner platforms,
Amazon as well as stationary retail. With over 10,000 products, this becomes
an immense task for the preparation of sales-relevant product information.
Challenge accepted, disruption process initiated.
Both the customer and Fujitsu are now optimizing the content creation process
with the help of innovative AI algorithms for the automatic generation of
product information. While the product data is aggregated via machine
learning, NLP-generated emotional descriptions will complement the product
description in the future. In this way, accompanying product information can
be provided much more efficiently and quickly.
Data Science in Professional Services
Data science is the prelude to better productivity for professional service
Data science will help you to drive actionable insights, improve
decisionmaking and enhance operational efficiency. By analyzing demographics,
preferences, and behavior, you will be able to develop tailored services and
targeted marketing strategies for enhanced client satisfaction and retention.
Identify patterns and relationships for more precise decisions and
less risk when encountering new markets, potential clients, and service
offerings. Detect anomalies using internal and external data and introduce a
proactive regime of preventive measures for regulatory compliance, fraud
detection, and the protection of sensitive client information.
AI in Profession al Services
Attract customers without overloading your workforce using AI services
AI-powered systems can extract relevant information from vast volumes of
documents such as contracts, invoices, and legal documents, helping to
pinpoint relevant clauses, identify risks, and ensure compliance with legal
requirements. Frequently asked questions and user instructions can be
delegated to intelligent virtual assistants to improve service and reduce
response times. In this way, you can make faster and better decisions with
intelligent document processing, for example.
Historical data, market trends and customer behavior can be used to
predict financial patterns, assess credit risk and optimize investment
portfolios.
Of course, AI systems can also analyze big data to detect fraudulent activity
and increase security levels through intelligent risk management to protect
business and customer data.
This is how they do in Professional Services
Innovate your professional service business:
This is how they do it!
It is certainly not surprising that service quality is a key differentiator
for leading companies in this industry. Objective sentiment analysis from a
large number of service requests can become a real game changer here.
Challenge accepted!
For a Spanish customer that has a strong focus on this area, Fujitsu is
working on a platform that will provide customised sentiment analysis for
businesses. The customer will be able to upload email chains or teams meeting
transcripts for in-depth sentiment analysis. The results will be displayed in
graphical dashboards, allowing any decision maker to get meaningful results
within seconds. The findings from this highly individualised project will
later be made available to other customers.
In this way, they can actively improve service quality with unbiased analysis
of real service operations.
Containerization in Manufacturing
Containerization makes IoT-scenarios in manufakturing transferable and
scalable
Although the IoT does not apply to every manufacturing scenario, it is a
perfect example to demonstrate the power of containerization. Manufacturers
can encapsulate IoT applications, services, and configurations, making them
independent of the underlying infrastructure.
Applications run seamlessly on different IoT devices, such as
sensors, gateways, or edge servers.
With this, IoT applications can be scaled horizontally by spinning up multiple
container instances to handle increased workloads, or vertically by allocating
more resources.
Your teams can work without worrying about conflicting dependencies or
infrastructure variations.
By packaging applications in containers, manufacturers can streamline the
release process, shorten time-to-market, and optimize update procedures,
including new feature deployment, patch and bug fix management.
AI in Manufacturing
Use AI to dramatically increase productivity in manufacturing
With the predicted reduction of the labor force for complex manufacturing
processes, the use of AI can be a game changer for future growth. As in other
industries, automation is one of the key scenarios when it comes to unlocking
the potential for increased productivity.
Use data from sensors and various sources, so that AI can optimize production
parameters, improve quality and reduce variability. Improve your
sustainability KPIs with smart resource allocation, from raw materials to
energy consumption to inventory levels, analyzing patterns and anomalies while
minimizing waste.
Intelligent and automatic defect detection improves product
integrity and is a step towards new business models such as predictive
maintenance. And even with all of this we are just at the beginning. Fujitsu
offers you large scale AI expertise to design your reinvented manufacturing
business case. Start by applying for the Fujitsu Lighthouse initiative that
you will find on page 16.
This is how they do it: A Manufacturing Life Case
Innovate your manufacturing business:
This is how they do it!
You may have read about predictive maintenance scenarios, but have you
experienced for yourself the groundbreaking impact on business models and
revenue streams? Enter a new level of productivity!
Fujitsu helped a global automotive customer build a system that calculates
machine wear based on various parameters such as its own usage intensity and
environmental parameters such as ambient temperature, humidity, and so on.
This resulted in AI-based quality control that enables true predictive
maintenance measures. Countermeasures and adjustments that are necessary even
for complex quality control are now automatically carried out or initiated.
During this process, the performance of the machines was also reduced or they
were switched off when they were not in active production. In this way, our
customer achieved both higher quality in production and a reduction in costs,
e.g. by avoiding breakdowns and lowering energy consumption.
Start your Business Model Innovation today
Start your Business Model Innovation today!
Fujitsu Lighthouse Initiative: Our commitment runs deep. Register now and
let‘s co-create the future with up to €100,000 in collaborative support.
Register at the Fujitsu Lighthouse Initiative registration page.
Post-registration, you’ll receive a confirmation email with detailed
instructions on how to share your idea.
Embark on this collaborative journey
by drafting your business-driven use case in a short PowerPoint presentation,
a one-page pdf, or a pitch video (5 minutes max). Make sure your content
addresses the essential W questions (what, why, when, where) and aligns with
the themes of AI, Data Science, or Containerization. Submissions should be
articulated in English.
For further details or queries, please have a look at the Fujitsu Lighthouse
Initiative registration page
or reach out to engage-CX@fujitsu.com.
*Funding depends on the business case and resources required. No cash payments – support offered will be tailored to project requirements.
© Fujitsu 2023. All rights reserved. Fujitsu and Fujitsu logo are trademarks of Fujitsu Limited registered in many jurisdictions worldwide. Other product, service and company names mentioned herein may be trademarks of Fujitsu or other companies. This document is current as of the initial date of publication and subject to be changed by Fujitsu without notice. This material is provided for information purposes only and Fujitsu assumes no liability related to its use.
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