Insurance, Industrial Automation, Healthcare and Recruitment projects implemented by Fortifier IT Company. Some of the technologies used during implementation: Artificial Intelligence, text and image recognition, Internet of Things.
Insurance, Industrial Automation, Healthcare and Recruitment projects implemented by Fortifier IT Company. Some of the technologies used during implementation: Artificial Intelligence, text and image recognition, Internet of Things.
Senior Strategist Tom Whitbrook, explores the future of insurance propositions, customer experience and operations as well as how #insurers can build the organisational and technological capabilities required to become the insurer of the future.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Vantageagora provides Insurance underwriting solutions, where we enable insurers to quickly and easily deploy intelligent automated processes that drive efficiency, consistency, and compliance across the enterprise With insurance underwriting software.
Insurance, Industrial Automation, Healthcare and Recruitment projects implemented by Fortifier IT Company. Some of the technologies used during implementation: Artificial Intelligence, text and image recognition, Internet of Things.
Senior Strategist Tom Whitbrook, explores the future of insurance propositions, customer experience and operations as well as how #insurers can build the organisational and technological capabilities required to become the insurer of the future.
Reshaping Underwriting Landscape With Focussing On CX – WhitepaperIndusNetMarketing
80% of customers lost interest in buying life insurance due to the poor underwriting process. These top 3 strategic solutions are imperative to enhance CX.
Vantageagora provides Insurance underwriting solutions, where we enable insurers to quickly and easily deploy intelligent automated processes that drive efficiency, consistency, and compliance across the enterprise With insurance underwriting software.
Participated in Razer Fintech Inaugural digital hackathon from 15 - 17 May 2020. Competed with a crowd of 300 (100 teams) to emerge as top 20. Proposed a community-focused Insure tech solution, utilising gamification, rewards and community spirit to increase uptake of insurance products.
Technological Transformation at MF Industry- WhitepaperIndusNetMarketing
Overview
Ever since the global crisis of 2008, the Asset management Industry has adapted transformation. It has re-instill trust and transparency with the changing customer experience. In the last six years we have witnessed many disruptors disrupting the asset management industry. In such unprecedented times, AMCs must equip with the technology to evolve and be sustainable to the near future.
What to expect?
Challenges Mutual Fund Industry Is facing during Pandemic
Trends in expanding digital landscape
Sneak-peek at A-O-S to enhance customer experience
2021 Best insurtech and insurance prediction listAlberto Garuccio
Insurtech issue #41 Techstars Startup Digest. If you are interested in reading the digital version or subscribing visit >> https://www.getrevue.co/profile/startupdigest-insurtech
The Future of Claims: Unlocking the Value of VideoCognizant
For insurers dealing with the huge expense and manual demands of claims management, video-based solutions are a godsend. Deployed skillfully, this tool can dramatically shorten and simplify the claims cycle.
AI in Insurance: How to Automate Insurance Claims Processing with Machine Lea...Skyl.ai
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support teams, and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system, and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you will learn:
. Deep dive into how insurance companies are adopting AI
. Discuss prominent industry use cases
. Live demo of vehicle damage assessment for insurance claims management
Reinforce the insurance value chain with predictive modelling and mlIndusNetMarketing
This ebook expands your knowledge of the insurance value chain and provides with end to end solution to elevate the customer experience through advanced technologies:
AI optimising marketing and distribution
Automating underwriting process by Machine learning model
Predictive analytics powered by AI to speed up claiming process
Participated in Razer Fintech Inaugural digital hackathon from 15 - 17 May 2020. Competed with a crowd of 300 (100 teams) to emerge as top 20. Proposed a community-focused Insure tech solution, utilising gamification, rewards and community spirit to increase uptake of insurance products.
Technological Transformation at MF Industry- WhitepaperIndusNetMarketing
Overview
Ever since the global crisis of 2008, the Asset management Industry has adapted transformation. It has re-instill trust and transparency with the changing customer experience. In the last six years we have witnessed many disruptors disrupting the asset management industry. In such unprecedented times, AMCs must equip with the technology to evolve and be sustainable to the near future.
What to expect?
Challenges Mutual Fund Industry Is facing during Pandemic
Trends in expanding digital landscape
Sneak-peek at A-O-S to enhance customer experience
2021 Best insurtech and insurance prediction listAlberto Garuccio
Insurtech issue #41 Techstars Startup Digest. If you are interested in reading the digital version or subscribing visit >> https://www.getrevue.co/profile/startupdigest-insurtech
The Future of Claims: Unlocking the Value of VideoCognizant
For insurers dealing with the huge expense and manual demands of claims management, video-based solutions are a godsend. Deployed skillfully, this tool can dramatically shorten and simplify the claims cycle.
AI in Insurance: How to Automate Insurance Claims Processing with Machine Lea...Skyl.ai
Insurance companies are looking at technology to solve complexity created by the presence of cumbersome processes and the presence of multiple entities like actuaries, support teams, and customers in the claim processing cycle.
Today, a lot of insurance companies are opting for Machine Learning to simplify and automate the processes to reduce fraudulent claims, predict underwriting risks, improve customer relationship management. This automated insurance claim process can remove excessive human intervention or manual errors and can report the claim, capture damage, update the system, and communicate with the customers by itself. This leads to an effortless process enabling clients to file their claims without much hassle.
In this webinar, we will discuss how insurers are increasingly relying on machine learning to improve claim processing efficiency and increase ROI.
What you will learn:
. Deep dive into how insurance companies are adopting AI
. Discuss prominent industry use cases
. Live demo of vehicle damage assessment for insurance claims management
Reinforce the insurance value chain with predictive modelling and mlIndusNetMarketing
This ebook expands your knowledge of the insurance value chain and provides with end to end solution to elevate the customer experience through advanced technologies:
AI optimising marketing and distribution
Automating underwriting process by Machine learning model
Predictive analytics powered by AI to speed up claiming process
From the conference Future Tech in Insurance at Forsikringsakademiet, nov 15 2016. Defining cognitive and how that is relevant for insurance companies.
InsureQlik provides a break through to make a partnership arrangement. We offer you a specific tool insurance broker software that let you go hand in hand with the insurers who are looking for thrilling ways to grow and become successful.
Transforming The Insurance Industry How Liferay DXP Is Revolutionizing Digita...arenakelly
Learn how the Liferay Digital Experience Platform help insurers deliver personalized experiences, streamline operations, and optimize workflows to transform businesses
The Singapore FinTech Consortium - Introduction to InsurTechFinTech Consortium
When you hear of “insurance”, the words “innovation” and “technology” would not come to mind intuitively – but they should now. At this day and age, insurance technology has the potential to affect nearly every essential insurance function, ranging from distribution methods to actuarial number crunching. InsurTech is now being implemented across every stage of the insurance value chain.
InsurTech 2016 Conference is a global gathering of the world's leading thinkers and doers in Insurance innovations and technology. It's a gathering of the planet's businesses, large and small, who are being impacted by new innovations to want to meet the demands of the insurance market.
This year, over 300 attendees will make the trip from all corners of the globe to hear from 80 industry thought leaders who will deliver the knowledge you're looking for to succeed in this arena.
InsurTech 2016 will assure that you meet the top insurance and technology professionals - leading 22 interactive and insightful sessions across all the insurtech spectrum, including:
Digital distribution channel
Blockchain
Data Analytics
Wealth Management
IoT & Telematics
Auto Tech
Health Tech & Wearables
Book your delegate ticket now for additional 15% Discount @ http://bit.ly/2bmXVxG
At DigitalTech International we believe that it will be crucial for the sustainable adoption of connected insurance to transform the nature of the customer – insurer interaction and create a seamless customer experience.
Insurance companies are required to develop intelligent platforms that cover various stages of contract capabilities. This can enable them with comprehensive setup of the process as well as avoiding biases in authoring, approvals, negotiations, and other insurance contracts.
The platform for insurance allows to create a policy in a few minutes according to your clients preferences. Simple way to serve and support clients through the policy purchase automation.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
3. First Reliable Engineering for Insurance
Panzly
Flight insurance with automatic
immediate payouts
Business need:
Traditional flight insurance is full of claim processing that
takes weeks, paperwork, and waiting for the payout. It often
doesn’t cover all potential insurance cases and leaves
customers unhappy as customer experience is stressful and
inconvenient.
Solution:
Panzly is a solution for online and offline flight aggregators
and brokers, travel agents and tour operators, and airlines. In
partnership with insurance companies, it provides its users
with immediate payouts in case their flight was delayed for
2+ hours or canceled altogether, regardless of the reason.
Panzly monitors the flight status to pinpoint when a payout
is due.
INSURANCE
3
4. Panzly
Flight insurance with automatic
immediate payouts
Values:
Enhanced customer experience (no claims and waiting for
the payout)
A competitive advantage against traditional flight insurance
100% of declared insurance risks are covered by Panzly
Panzly is among 6 promising startups (InsurePost) and 5
finalists of the Disrupt Launchpad & Awards 2019
INSURANCE
First Reliable Engineering for Insurance
4
5. First Reliable Engineering for Insurance
inCover:
on-demand insurance
mobile app
Coverage for the chosen devices
only when needed
Business need:
Customers are dissatisfied with complicated costly insurance
plans that cover too many things. Apart from covering things
they don’t really care about, one more dissatisfaction factor is
paperwork and bureaucracy during claim processing.
Solution:
Our solution is a mobile app that allows its users to choose the
items they want to cover with insurance and turn on or off the
insurance whenever needed. The pricing depends on the items
chosen and their worth. The on-demand insurance covers theft,
loss, and accidental damage cases.
INSURANCE
5
6. First Reliable Engineering for Insurance
inCover:
on-demand insurance
mobile app
Coverage for the chosen devices
only when needed
Values:
Dynamic pricing based on the items chosen and custom settings
Stress-free claim processing, as easy as sending a message,
which contributes to excellent customer experience
Insurance can be turned on and off whenever needed
Swift
Firebase
Apple Push
Notification Service
Java
Android SDK
Google Cloud
Messaging
Artificial Intelligence
Deep Learning
OpenCV
Technology:
INSURANCE
6
7. First Reliable Engineering for Insurance
Calculator
for Insurance services
Business need:
Current insurance application is losing data without Internet.
Simple mobile applications can not handle high amount of
information. All existing tools for insurance calculation have
unclear interface and are difficult to use.
Solution:
Insurance mobile application allows you to see a complete
analysis of insurance rates and recommendations. Use this
calculator to determine the right coverage that best suits your
particular situation.
Fortifier is here to help carriers with all your insurance
calculator needs, whether you want to find the best option for
your clients.
INSURANCE
7
8. First Reliable Engineering for Insurance
Calculator
for Insurance services
Values:
The solution provides reports in one click
MetLife policy calculator allows insurers to perform calculations
on various types of insurance products depending on the data
about a potential client
This app puts data to the server over XML in order to generate a
quotation offer for a potential client and then sends it out to the
specified email address
Technologies:
HTML5
CSS3
Marionette.js
Node.js
jQuery
Require.js
INSURANCE
8
9. First Reliable Engineering for Insurance
Solution for SME
Platform for Insurance
Business need:
A high amount of competitors throughout different insurance
brokerages make it necessary to seek the new ways for rapid
and higher-quality interaction with clients.
Solution:
The platform allows to create a policy in a few minutes
according to your clients preferences. Simple way to serve and
support clients through the policy purchase automation.
This platform makes relations with clients more efficient and
helps brokers to achieve better results!
INSURANCE
9
10. 10
First Reliable Engineering for Insurance
Solution for SME
Platform for Insurance
Values:
Increase the amount of customers by 7 - 10% per year
Redouble customer retention rate
Save the time for Policy creation and processing
Technologies:
Spring Boot 2.0
AngularJS
Hibernate
SonarQube
Jenkins
Selenide
Java 8
Gradle
Selenoid
Git
Docker
MS SQL
Allure
INSURANCE
10
11. First Reliable Engineering for Insurance
Life Insurance Platform
Insurance platform for better customer experience
Business need:
The world is changing. Technology and data analytics are
disrupting traditional business models. Insurance companies
need to react respectively to these rapidly evolving business
and cooperation models in order to provide the customers with
the support and protection they need to grow and prosper.
Solution:
Life Insurance Platform that allows to:
meet your customers’ needs
provide your clients with perfect customer experience
cover E2E sales process starting with presales activities, policy
issuance process, receipt/bills issuance
automate renewals process issues notifications for expiring
policies thanks to the algorithm that transfers data from the
previous policy and allow user to modify it, if necessary
INSURANCE
11
12. First Reliable Engineering for Insurance
Life Insurance Platform
Insurance platform for better customer experience
Values:
Increase of online policy sales
Simpler and clearer way of policy management for
the end customer
Business processes simplification and automation
Customer experience improvement
Technical details:
Solution architecture based on micro-service approach
Each microservice wrapped with Docker container
For automating deployment, scaling and management containerized
applications Kubernetes are used
The solution does not depend on cloud vendor
INSURANCE
12
MS SQLJavascriptJavaPython
13. 13
First Reliable Engineering for Insurance
Microinsurance Platform
More channels to reach your clients
Business need:
One striking difference between developing and developed countries is the
extent of insurance penetration. Almost half of the entire world population
is living under $5.50 per day. These people are the most vulnerable and are
the most likely to be devastated by a natural disaster. Small shop owners
and farmers are most at risk, as an event can deprive them of the limited
assets they have and even basic necessities.
Solution:
Microinsurance platform is the best choice to build the bridges between
service and content providers with consumers!
Through the channels provided by Mobile Network Operators, it’s possible
to monetize your customer’s data and connection pipes, including voice,
SMS and other data. Increase your channels to reach more clients and
serve them better!
INSURANCE
13
14. First Reliable Engineering for Insurance
INSURANCE
14
Microinsurance Platform
More channels to reach your clients
Values:
Simplifies documents required for a claim
Guides customers through the claims process
Settles claims quickly
Accepts claims through mobile applications
Simplifies terms and conditions of product
development
Technologies:
Our On-Premise Solution is based on the micro-service approach
AI decision making module
Each microservice wrapped with Docker container
For automating deployment, scaling and management
containerized applications we using Kubernetes
Python and Java for
business logic services
Javascript for UI services
Spark vs Hadoop
Mongo DB
15. First Reliable Engineering for Insurance
AI Bot
Realize value from knowledge stockpiles
Business need:
Precious knowledge is wasted because professionals on the
front lines are too busy to search for it, can’t find it or don’t
know it exists. AI Bot finds content relevant to current business
priorities by scouring external and internal content sources,
such as news, collateral, and experts. AI Bot delivers the
information before important meetings and events so the user is
armed with the latest news and most current collateral.
Solution:
Analyze collected metadata to identify work priorities
for each user
Determine the optimal timing of content delivery
Learn and adapt to user preferences and feedback
Be sure! AI Bot — the delivery mechanism, designed to work in
any environment!
INDUSTRIAL AUTOMATION
15
16. First Reliable Engineering for Insurance
AI Bot
Realize value from knowledge stockpiles
Values:
Save up to 29% on salary costs thanks to the automotive
support without the workers involvement
Get the full information for immediate decision-making and next
steps planning
Serve the clients better to increase customer satisfaction level
and brand loyalty
Technical details:
Developed on Microsoft Bot Framework
White label options available
Delivered on Microsoft Azure Stack
Extensible architecture to meet the needs of the large enterprise
Meets stringent security and governance requirements
Celery Tornado Python 3.5
INDUSTRIAL AUTOMATION
16
17. 13
First Reliable Engineering for Insurance
Networking Solution
for the Industrial IoT market vertical
Business need:
Constant machines condition monitoring at the enterprises is
a time-consuming process. Delayed maintenance and repairs
lead to large expenses. Unexpected machine failures cause
huge financial losses.
Solution:
Sensors network integration and manufacture monitoring allow to:
monitor machines status 24/7 and react to any manufacture
delays promptly
decrease the workload level of the labour force and direct this
resources to more challenging tasks
plan expenses for the next budget period necessary for machine
service and maintenance
minimize expenses for unforeseen failures
INDUSTRIAL AUTOMATION
17
18. First Reliable Engineering for Insurance
Networking Solution
for the Industrial IoT market vertical
Values:
Saving up to 30% of current annual budget
Workforce reduction
HTML
CSS
AngularJS
Bootstrap
gulp.js
Increasing of manufacturing productivity,
thus enhance the income
Technologies:
Java
Apache Tomcat
Maven
Spring Boot
Raspberry Pi
INDUSTRIAL AUTOMATION
18
19. First Reliable Engineering for Insurance
Pattern Recognition
Text-recognition and auto filling forms and reports
Business need:
Invoice management process takes much time and requires
large workforce. A great amount of manual work is driving
companies to hire many workers for simple manual operations.
High information loss rate leads to failures in invoice
management and to the loss of profit.
Solution:
World’s digitalization helps SMEs to reduce manual work and
automate the majority of internal processes
Pattern recognition solution increases the speed of the
document processing via Artificial Intelligence & Machine
Learning techniques
User experience is quite simple. Just upload a document, click
the button to start recognition and all needed forms and reports
will be filled in automatically
INDUSTRIAL AUTOMATION
19
20. First Reliable Engineering for Insurance
Pattern Recognition
Text-recognition and auto filling forms and reports
Values:
The manager’s productivity is increased up to 17%
The data is stored in a correct way
Employees are not spending their time on simple
manual work
Technologies:
Python
NumPy
Matplotlib
PostgreSQL
Scikit-learn
Pillow
PyTesseract
INDUSTRIAL AUTOMATION
20
21. First Reliable Engineering for Insurance
Text and Image Recognition
for Database management
Business need:
A long process of data migration from the paper forms to the
digital storage and lack of information cause an inability to get
the needed records and manage the extracted data quickly.
Solution:
The system will allow to collect and add the information from
the paper. This program will make it possible to create a vast
database and to manage it in decision-making purpose.
INDUSTRIAL AUTOMATION
21
22. First Reliable Engineering for Insurance
Text and Image Recognition
for Database management
Values:
Staff productivity increased by 27%. The efforts and time that
your employees used to spend for manual entering of the
relevant data now can be utilized for focusing on core
competencies
Total cost spent on hiring manpower, printing, copying,
shipping charge, etc. was reduced by 30%
Errors minimization and increasing of data quality and data
management
Technologies:
Python 3
Django
AWS ECS
Elasticsearch
INDUSTRIAL AUTOMATION
18
23. First Reliable Engineering for Insurance
23
ApoThemis
Pharmaceutical CRM system
Business need:
Customer experience suffers as customers need to wait for
around three days to get the meds they need. The whole
process is also not customer-friendly as they need to pay at
least three visits: to get the recipe from the doctor, bring it to
the pharmacy, and get the drugs in a couple of days.
Solution:
ApoThemis is a CRM system that allows both pharmacies and
doctors to exchange recipes effortlessly and provide patients
with drugs faster and hassle-free. It conducts clinic screening
for each recipe to see if it suits the patient.
HEALTHCARE
24. First Reliable Engineering for Insurance
24
ApoThemis
Pharmaceutical CRM system
Values:
Faster recipe processing thanks to automation, which improves
customer experience
Minimized human error in terms of drugs’ suitability
for the patient
Less workload for the doctors and pharmacists
Technologies:
Ionic
HTML5
AngularJS
Gulp
HEALTHCARE
25. 25
First Reliable Engineering for Insurance
MedOne
Medical CRM for a better
doctor-patient relationship
Business need:
Mistreatment or unsuitable treatment are caused by lack of
enough medical information about the patient. On the other
hand, the inability to interact with doctors directly and fast may
put patients’ wellbeing at risk.
Solution:
MedOne is a social network-like CRM available to doctors and
patients. It includes messaging functionality available not only
between the patient and his/her doctor but among doctors and
patients in general. Patients can update their status and make
inquiries to various doctors and share videos.
HEALTHCARE
26. 26
First Reliable Engineering for Insurance
MedOne
Medical CRM for a better
doctor-patient relationship
Values:
Treatments and recommendations are based on the
exact patient’s needs and preferences
Reduced risk of mistreatment and increased probability
of the precise diagnosis
Easy to provide patients with support on a regular basis
and react to changes in their health condition
Technologies:
Python
Django
REST
Celery
PostgreSQL
RabbitMQ
AngularJS
HEALTHCARE
27. First Reliable Engineering for Insurance
Infectious Diseases
Management System
A novelty in identifying, tracking, managing,
and preventing infectious diseases
Business need:
Infectious diseases spread rapidly, and containing them is often
a challenge. Due to a lack of statistical data, governments
struggle to design effective strategies and policies to control
infectious diseases.
Solution:
Designed and developed for a particular region, this infectious
diseases management system collects medical data on
infectious diseases in the region and infected patients’ profiles.
It also provides instructions and recommendations for treating
and preventing these diseases.
HEALTHCARE
27
28. First Reliable Engineering for Insurance
Infectious Diseases
Management System
A novelty in identifying, tracking, managing,
and preventing infectious diseases
Values:
Statistical data visualized in charts and maps allows improving
their prevention and healthcare policies
Guidelines for patients increase the efficiency of infectious
disease prevention among the population
Health professionals can choose more accurate treatments
based on the guidelines and stats provided
Technologies:
Python
Django
REST
RabbitMQ
AngularJS
Celery
PostgreSQL
HEALTHCARE
28
29. 29
First Reliable Engineering for Insurance
Ontology
Natural language processing that turns
unstructured texts into CV
Business need:
Creating a structured CV is not a piece of cake as it’s easy to
skip or forget some details. Writing an autobiography is a lot
easier than a CV, and a poorly structured resume may reduce
the person’s employability.
Solution:
Ontology is a website that allows its users to write unstructured
text and turns it into a CV. It uses natural language processing
to pinpoint key data (personal information, education, skills) in
the text and put it where it belongs in the CV. The final CV can
be saved as a PDF file and is uploaded to the database.
RECRUITMENT
30. 26
26
First Reliable Engineering for Insurance
Ontology
Natural language processing that turns
unstructured texts into CV
Values:
A well-structured CV with no stress or hassle for the user
Java
Spring
HTML5
CSS3
Precise recognition of the key words, such as skills or
educational institutions
No details skipped or forgotten
Technologies:
JavaScript
AngularJS
PostgreSQL
Gate
RECRUITMENT
31. First Reliable Engineering for Insurance
CV Bank
Solution for effortless job hunting
and recruiting alike
Business need:
Recruiting takes precious time and resources. Companies’
recruiters have to browse countless websites and filter out the
best resumes manually. Due to the inconveniences and low
speed of the process, three-quarters of companies struggle to
find suitable candidates.
Solution:
CV Bank is not just a resume database. It is powered by machine
learning to automatically filter and sort potential candidates
based on the recruiter’s preferences and needs, thus providing
the most relevant results. Recruiters can search resumes by
keywords in any part of the resume, filter criteria, location, job
classification, qualifications, and more.
RECRUITMENT
31
32. First Reliable Engineering for Insurance
CV Bank
Solution for effortless job hunting
and recruiting alike
Values:
Less workload on recruiters in terms of finding the most
relevant candidates
Scikit-learn
Apache Zeppelin
mongoDB
AWS
Elasticsearch
Faster employee replacement, which means fewer losses from
an unfilled position
Easier to find the top talent suitable for a company
Technologies:
Scala
Python
AngularJS
Node.js
Spark
RECRUITMENT
32
33. LET’S
WORK
TOGETHER
Tell us more about your business
needs to help us serve you better
+ 1 650 772 4259
+ 49 157 397 58 408
Phone:
www.4tifier.com
E-mail:
sales@4tifier.com