Webinar on 4th Industrial Revolution, IoT and RPA

Disclaimer- Presenter
• Most of the contents of this presentation file is collected from internet. The
sources are mentioned with respect in the end 03 slides. Thank you to the
contributors.
• This presentation is to only present the overviews to the newbies. This
presentation can be considered as summarized ideas of hundreds-
thousands of contents available on Internet- for simplified explanation.
• You need to invent wheel again by your own, You just need to explore the
inventions and make them applicable.
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Disclaimer- Audience
• Please put your microphone off while listening.
• You can put your video off for a better experience
• If raises any question in your mind, please put that in the chatbox. We
will try to attend your query at the end of the session.
• Slides can be found upon filling up the feedback form at the end of
the session.
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Trends: 2025 and beyond
• 10% of people will be wearing clothes connected to the internet
• 80% will have unlimited (sponsored) backup space in the cloud
• There will be one trillion sensors connected to the internet
• 80% of the world’s population will have Internet presence
• The first automobile entirely produced with a 3D printer
• 90% of world’s population will own a smart phone
• 90% of world’s population will have internet access
• 10% of all vehicles on the roads will be driverless
• More than 50% of home appliances will be connected to internet
• More rides will be made on shared cars than on private cars
Source: World Economic Forum 2015
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Most of the contents of this presentation file is collected from internet. The sources are mentioned with respect in the end 03 slides. Thank you to the contributors.

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4th Industrial Revolution
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Digital disruption created new jobs
10-15 years back
• NO digital/SM marketing
• NO SEO, DCMA
• NO Software as a service
• NO BigData analyst
What happen in next 10-15
years?
• Robot are coming
• Artificial Intelligence rises
• Terminators are coming?
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Action Fields
Smart Governance
Smart Economy
Smart Mobility
Smart Environment
Smart People
Smart Living
ICT AS COMMON ENABLER
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According to the US Bureau of Labor Statistics, these are some
jobs that have a 95% or higher probability of being automated:
• Cashiers
• Office clerks, general
• Secretaries and administrative assistants
• Bookkeeping, accounting and auditing clerks
• Cooks, restaurants
• Team assemblers
• Receptionists and information clerks
• Landscaping and groundskeeping workers
• Shipping, receiving and traffic clerks
• Inspectors, testers, sorters, samplers, and weighers
• Counter attendants, cafeteria/food concession
• Tellers
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(Cont.)
• Billing and posting clerks
• Counter and rental clerks
• Driver/Sales workers
• Foodservice hosts and hostesses
• Packaging/Filling machine operators
• Operating engineers and equipment operators
• Bill and account collectors
• Loan officers
• Insurance claims and policy processing clerks
• Claims adjusters, examiners and investigators
• Parts salespersons
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(Cont.)
• Dispatchers
• Data entry keyers
• Legal secretaries
• Order clerks
• Payroll and timekeeping clerks
• Molding/Coremaking/Casting machine operators
• Ushers, lobby attendants, and ticket takers
• Library assistants and technicians
• Switchboard operators
• Electrical and electronic equipment assemblers
• Telemarketers
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• Approximately there are around 7.62 billion humans on our planet,
but to your surprise, by the year 2021 with an increasing graph of IoT
devices, there may be around 20 billion IoT smart devices up and
running with an increase in the demand of 5g network.
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Fastest Growing Topics
• Biometrics and Wearables
• Electric Vehicles/ Carrier
• Transaction (Automation of Cash Transaction or Integration MFS)
• Property Security
• Data Science, Machine Learning, Blockchain
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How you decide an IoT Device?
1. The device which has the capability to connect with the internet in any
way.
2. The device which is integrated with technology like sensors, functional
software, some inbuilt technology which support network connections and
also actuators.
- When both these functionalities are combined together - an IoT device is formed.
• Earlier only simple watches were only used to see the time and date, but
now the smart IoT watches allow a user to see heartbeat rate, calorie
count, steps walked etc.
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IoT Product Development
• The IoT/Smart Device topology consists of 03 major parts:
• Hardware (Platforms, Sensors, Data Acquisition)
• Connectivity (3G/4G/LTE, LoRA)
• Software (/+firmware) [Control, UX]
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IoT Device Lifecycle
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IoT Development Platforms for Newbie
• Decide from the followings:
• Hobbyist
• IIOT (Industrial IoT)
Let’s talk about IIoT…
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Demand of IIoT Solutions from Industries
• Device management software that connects thousands to hundreds of thousands of sensors, industrial
machines and digital systems. IIoT solutions are usually designed to identify failures and facilitate recovery
from failure.
• Integration through software development kits, development tools and APIs to support business processes
and enterprise systems across the business. There are significant challenges, however, given the array of
back-office applications such as ERP, application performance management, enterprise asset management,
computerized maintenance management systems and more.
• Data management to control and monitor ingestion, storage, accessibility, flow and
• Analytics of data from connected devices, the enterprise and third parties to reveal patterns and
optimization of assets.
• The enablement and management of applications to simplify configuring and operating connected assets
and that enable digital twins.
• Software to allow security audits and ensure compliance, including measures to prevent data loss and to
detect and act on breaches.
• Support for protocols relevant to the industrial domain, such as OPC (Open Platform Communications)
Unified Architecture.
• Engineering-level robustness to prevent downtown.
• Flexibility with no-code interfaces, for example, to allow a range of users to access job-specific applications.
• A combination of cloud computing, on-premises deployment and edge computing.
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Basic Topology of IIoT Solution Design
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Platforms for developing IoT Solutions:
Hobbyist
• ESP32/ ESP8266
• Arduino
• Raspberry Pi
• Particle
• Intel Edison
• Adafruit Platforms (i.e.Flora)
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Platforms for developing IoT Solutions: IIoT
• STM32 Development Boards (i.e. STM32L4 IoT Discovery Kit)
• ZedBoard
• Nvidia Jetson (For Machine Learning)
• Sti Microcontroller Based Platforms
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Protocols Used in IoT/Smart Devices
• WiFi
• Bluetooth
• ZigBee
• NFC
• Cellular (3G/4G/LTE)
• LoRaWAN
• MQTT (Message Queue Telemetry Transport)
• DDS (Data Distribution Service)
• AMQP
• RFID
• Z-Wave (Low Range-Home appliance usage)
• Sigfox (Cellular +WiFi)
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Sensors: IIoT/ IoT
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IIoT Sensor+ HMI ecosystem
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7 Practical Examples of IIoT Solution
• Let’s Check the Link !
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Cloud Platforms: IoT
• Amazon AWS
• Microsoft Azure IoT Suite
• Google Cloud’s IoT Platform
• IBM Watson IoT Platform
• Cisco IOT Cloud Connect
• Thingworx 8
• Oracle IoT Platform
- There are few more. Choose your one based on studying Pros and Cons of
each platforms and your solution needs.
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IoT Solution Simulators
IoT simulators allow you to design, create and test IoT apps and
devices without actually using real IoT boards.
• MATLAB
• IOTify
• Netsim
• IBM Bluemix
• Ansys IoT Simulator
• BevyWise IoT Simulator
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Advantages/ Disadvantages of IoT Devices?!?!
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Barriers of IoT Product Developers in
Bangladesh
• There are 3 major challenges to implementing IoT solutions in
Bangladesh: people, infrastructure, and finance.
• Inadequate Local Market
• Inadequate R&D Facilities
• Less awareness
• Unfavorable Policies
• Unplanned Distribution Channel and Supply Chain
• Bangladesh is based on ‘Human Capital’ rather ‘Tech Orientation’.
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Local IoT Market (Bangladesh) Status
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• On October 21, 2018, they signed a joint-venture deal with the state-
owned West Zone Power Distribution Company (WZPDCL) to create the
company "Bangladesh Smart Electrical Company Limited".(Hexing)
• 4 largest telcos (GrameenPhone, Robi, Banglalink, Airtel) are investing and
adopted their latest motto of contribution towards economy based on IoT
or Advanced Technologies.
• In August 2017, Robi signed an agreement with Sri Lankan start-up nCinga
to create an IoT solution focused on helping the RMG industries of
Bangladesh.
• Banglalink have their own Vehicle Tracking Service and the Watchmaniss
Security Service, a security service for corporates.
• In 2018, BTRC issued a directive in a preliminary effort to develop policy for
the new technology in Bangladesh and permission to use it in 9 sectors.
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• Datasoft inaugurates its IoT device assembling plant at Gazipur Hi-
Tech Park
• More than 30 formal IoT product development startups / companies-
backed by different groups and banks.
• 500+ facebook/ private initiatives on IoT Product developments.
• ICT Ministry/ A2I is funding continuously from few thousands to few
millions.
• In last fiscal year (2019-2020), the government has announced 100
crore funded company to support local entrepreneurs.
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Future of Jobs (according to World Economic Forum)
• Complex Problem Solving
• Critical Thinking
• Creativity
• People Management
• Coordinating with Others
• Emotional Intelligence
• Judgement and Decision Making
• Service Orientation
• Negotiation
• Cognitive Flexibility
Are all these jobs for
Science Background Students?
Or Commerce Background Students?
Or Arts Background Students?
Or XYZ –any Background Students??
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Freelance Career: IoT/ IIoT
• Fiverr
• Upwork
• Linked In Jobs
Let us check some job scenarios on Upwork.
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Opportunities of IoT based Solution
Developers in Bangladesh
• Home Appliance Manufacturers (Walton, Minister, Singer)
• RMG (Sewing, Washing, Knitting)
• FMCG Manufacturing (City, TK, Unilever, Square)
• Smart Home Automation (smart energy meter, product automation)
• Agriculture/ Agro-Tech (harvester, pesticide sprayer, Cold Storage)
• Process Automation ( Chittagong Port/ Courier Warehouse)
• Government Enterprises (Traffic Signal, Camera based retro-reflactor
Number plate reader, Public Transport)
• Public Health (Thermal Scanner, Air pollution detector)
• Any Assembling/Manufacturing factories
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Other Hands of 4th Industrial Rev.
• Data Science
• Machine Learning
• 3D Printing
• RPA (Robotic Process Automation)
• Cyber security
• Blockchain
• Automation
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Robotic Process Automation (RPA)
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What the heck is RPA ?!?!
• According to Wiki:
• “Robotic process automation (or RPA) is a form of business process automation
technology based on metaphorical software robots (bots) or on artificial intelligence
(AI)/digital workers. It is sometimes referred to as software robotics (not to be
confused with robot software).”
• In traditional workflow automation tools, a software developer produces
a list of actions to automate a task and interface to the back-end system
using internal application programming interfaces (APIs) or dedicated
scripting language.
• In contrast, RPA systems develop the action list by watching the user
perform that task in the application's graphical user interface (GUI), and
then perform the automation by repeating those tasks directly in the GUI.
This can lower the barrier to use of automation in products that might not
otherwise feature APIs for this purpose.
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What the heck is RPA ?!?! (cont.)
• Robotic Process Automation (RPA) is a software intended to automate
repetitive production tasks to streamline business processes. The rule-
based software evolved from screen scraping, workflow automation, and
artificial intelligence allowing the software to aggregate data, trigger
responses, and initiate new actions.
• Dubbed the digital worker RPA mimics human behavior to automate
consistent routinized workflows in an effort to boost productivity. The
rules are programmed and the bots can extract structured inputs from
applications like Excel and enter them into SAP. The software works on the
user interface just as a human would, seamlessly integrating with ERP and
CRM systems.
• The agile RPA software has gained tremendous popularity and success
due to its ability to continually complete repetitive processes that would
otherwise be completed manually. Thus, freeing employees of repetitive
tasks and eliminating human error.
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Why RPA?
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Why RPA?
(cont.)
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Why RPA?
(cont.)
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RPA or Machine Power Saves Time, Save costs and Improve quality exemplarily

How RPA Works
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How RPA Works (cont.)
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How RPA Works-Example
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Benefits of RPA in your business/process
• Cost savings
• Significant process improvements
• Redeployment of resources to higher value functions
• Improved productivity
• Improved quality
• Improved customer service
• Improved compliance
• With RPA, organizations can leverage quick-to-deploy, cost-efficient tools to
infuse efficiency and intelligence to their processes- thereby significantly
impacting their profits and revenue.
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Why RPA for Business Process Automation
• RPA bots work at the level of the UI and interact with systems just as a
human would
• RPA is system agnostic which means that they can work across application
types
• Robotic Process Automation enables businesses to take action quickly as
they mimic the role of an agent
• RPA is scalable and can be easily integrated with existing systems
• RPA can be implemented promptly as opposed to traditional automation
systems
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Limitations of RPA
• First, RPA cannot read any data that is non-electronic with
unstructured inputs. An example would be inbound correspondence
such as paper customer letters. When a customer sends their energy
company or bank a letter is it generally paper-based and
unstructured.
• Second, companies need to be aware of diverse inputs coming from
multiple sources. For example, in a procurement function, supplier
invoices may be received in different formats, with fields placed in
different areas. For a ‘Bot’ to be able to read an invoice, all supplier
invoices must be received in the same format with the same fields.
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Limitations of RPA (cont.)
• Third, RPA is not a cognitive computing solution. It cannot learn from
experience and therefore has a ‘shelf life’. As processes evolve – for
example, through the introduction and use of other technologies —
they may become redundant and require changes. It is therefore wise
for a company to examine the process prior to building a ‘Bot’.
• Fourth, applying RPA to a broken and inefficient process will not fix
it. RPA is not a Business Process Management solution and does not
bring an end-to-end process view from approaches such as Lean Six
Sigma. The same goes for out of date infrastructure – RPA will only
mask the underlying issues.
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Limitations of RPA (cont.)
• Fifth, Monetary Expense – Budgetary restrictions are among the
biggest reasons why businesses opt not to implement RPA.
• Sixth, Lack of Technical Ability – Many people believe that in order to
leverage robotic process automation, the end user must possess
significant technical know-how.
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Usage of RPA in venture
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Industries using RPA
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RPA Platforms
• Most Common/ Popular Platforms on 2020 are: (according to G2 ratings)
• Automation Anywhere
• UiPath RPA | Robotic Process Automation
• Blue Prism
• Pega Platform
• WinAutomation by Softomotive
• Laserfiche
• Datamatics TruBot
• Automate Robotic Process Automation
• Intellibot - Robotic Process Automation platform
• Nintex RPA
• ElectroNeek RPA
• Workfusion Intelligent Automation Cloud
• IBM Robotic Process Automation with Automation Anywhere
• Attrio Hyperautomation
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RPA Platforms
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Source: G2 rating chart

Cognitive Automation Vs. Traditional Automation Vs.
Robotic Process Automation (RPA)
• Cognitive automation is a subset of artificial intelligence — using
specific AI techniques that mimic that way the human brain works —
to assist humans in making decisions, completing tasks, or meeting
goals.
• Cognitive RPA is a term for Robotic Process Automation (RPA) tools
and solutions that leverage Artificial Intelligence (AI) technologies
such as Optical Character Recognition (OCR), Text Analytics, and
Machine Learning to improve the experience of your workforce and
customers
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Cognitive Automation Vs. Traditional Automation Vs.
Robotic Process Automation (RPA) (cont.)
• With Traditional Automation, you could make a machine do any task,
any step of the operational process.
• RPA, on the other hand, is a form of automation that sticks to the
front-end of your system and carries out tasks without having to
move to the back-end for anything.
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Differences between Traditional Automation
and RPA
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Hyperautomation
• It is a combination of (RPA+ Artificial Intelligence (AI) + Machine
Learning (ML) + Process Mining) = Hyperautomation
• To put it simply, hyperautomation is the mix of automation
technologies and artificial intelligence that, when combined, augment
humans' capabilities, allowing them to complete processes faster,
more efficiently, and with fewer errors.
• Difference between ‘RPA’ and ‘Hyperautomation’:
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Difference Between Artificial Intelligence (AI)
and RPA
• Artificial Intelligence is an umbrella term for technologies like RPA
and it also describes a computer's ability to mimic human thinking.
RPA is a rule-based software that has no intelligence and automates
repetitive tasks. (source)
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Robotic Process Automation 2.0
• Robotic process automation 2.0, often referred to as "unassisted RPA"
or RPAAI, is the next generation of RPA related technologies.
Technological advancements and improvements around artificial
intelligence technologies are making it easier for businesses to take
advantage of the benefits of RPA without dedicating a large budget
for development work.(wiki)
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Market Share of RPA Software
• According to Grand View Research, Inc. on October, 2018, top RPA
platforms are:
• Blue Prism PLC
• Automation Anywhere Inc.
• UI Path Inc.
• Be Informed B.V.
• Openspan
• Jacada Inc.
• On 8 July 2019, Gartner published its first Magic Quadrant for RPA, which is
its first evaluation of vendors in the RPA market. UiPath was named a
leader, followed by Blue Prism and Automation Anywhere.
• According to a report by Forrester, the Enterprise Robotic Process
Automation market is expected to reach over $2.9 billion by 2023, while
Statista believes the industry will be worth $4.9 billion by just 2021.
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Market Share of RPA Software
• The potential savings for companies that deploy RPA stand
between $5 trillion to $7 trillion, by 2025 (based on studies
conducted at Hadoop).
• Hadoop also estimated that, by 2025, RPA software will be
performing tasks with an output level that will be equivalent to 140
mn full time employees.
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Considerations businesses need to make to
adopt Robotic Process Automation
• Strategy – While automation can be used for saving costs, when employed along with a
plan, it can be better. At a broader strategic implementation, automation can yield more
benefits.
• Management – To launch an RPA system, the C-suite executives must be involved, and
the project should be handed over to a competent project manager.
• Process – Picking the right set of processes to automate is the key to enabling better
productivity and operational efficiency. The processes selected must be stable, mature,
optimized, repetitive, and rule-based process.
• Change Management – Another critical role of leaders in inculcating RPA within their
existing systems is to propagate the change through the entire enterprise. Anything new
attracts resistance from within an organization. It is, therefore, imperative to minimize that
and make sure that everyone is on the same page when it comes to adopting the change.
• Infrastructure – Businesses often develop an entire infrastructure around RPA. What
starts as a single process automation experiment turns into a center of excellence with
qualified engineers and robot specialists who assess requirements and deploy RPA systems
throughout the organization regularly.
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RPA- Life Cycle
• Typically 04 stages in a RPA life cycle:
• Analysis
• Bot Development
• Testing
• Support & Maintenance
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RPA- Life Cycle (cont.)
• Analysis – Business teams & RPA Architects work together to analyze
a business process for RPA development.
• Bot Development – Developer teams start working on developing the
automated workflows for the requirements in a distinct development
environment.
• Testing – Run testing cycles such as SDLC to analyze the quality and
correct defects.
• Support & Maintenance -After the development & testing phases, a
bot enters the maintenance phases in which it provides continuous
support and helps in the immediate defect resolution.
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Real-time example of RPA in Industry
• a large consumer and commercial bank used 85 software bots to run
13 processes that handled 1.5 million requests in a year. This allowed
the bank to add capacity that equalled 230 full-time employees at just
about 30 per cent the cost of recruiting more staff.
• ‘Chatbot’ is one of the common example nowadays for RPA.
Example: Eastern Bank Limited’s ‘DIA’ OR different Facebook Chabot.
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• Website Scrapping
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• Customer Order Processing
• Incoming Customer E-mail Query Processing
• Transferring Data from one system to another
• Call center operations/ IVR systems incorporating intelligent interaction with
callers
• Payroll Processing
• Forms Processing
• Client profile updates
• Claims Processing
• Generating Premium renewals
• Requests for Overdraft protection
• Exception Processing
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Real-time example of RPA in Industry (cont.)
• Account Reconciliation
• Credit card applications
• Patient registration
• Shipping notifications
• Member eligibility and billing
• Onboarding
• Compliance reporting
• Change of address processing
• Fraudulent account closing
• Customer complaints processing
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• Data cleansing
• Order Updates
• Expense management
• Extracting data from PDFs, scanned documents and other formats
• Periodic report preparation and dissemination
• Data validation
• Generating mass emails
• Updating scorecards
• Automated testing
• Software installations
• Candidate sourcing
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Career in RPA
• Positions:
• Developer
• Project Manager
• Solution Architect
• Business Analyst
• Associate
• Process Consultant
• Lets check on Upwork!
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Career in IoT/ RPA
• If you want to join my team at Upwork, knock me that you are
interested!
- redwan.contact@gmail.com
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Some QUICK Common Skills,
Mandatory for Next-Gen Workforce
• 2-D / 3-D Design [ AutoCAD, Solidworks, Sketchup or any tools]
• Problem Solving Methodology
• Basic Programming
• Internet Literacy
• Data Analysis
• Project Management
• Task Listing/ To-Do Listing and Prioritizing
• Nice, Decent way of “Business” communication
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Thank You.
15-May-20 88

Bibliography
• https://www.softwaretestinghelp.com/iot-devices/
• http://www.fintechbd.com/internet-of-things-iot-for-bangladesh-moving-forward/
• https://www.iotworldtoday.com/2019/08/07/top-10-iiot-platforms/
• https://databd.co/stories/can-bangladesh-spur-growth-through-iot-2811
• https://www.thedailystar.net/bytes/news/iot-the-rise-local-market-1719778
• https://www.studymalaysia.com/education/top-stories/the-fourth-industrial-revolution-ir-4.0-and-what-it-means-for-students-like-you
• https://www.123rf.com/photo_105817423_stock-vector-industrie-4-0-the-fourth-industrial-revolution-colorful-pyramid-chart-useful-for-infographics-
and-pr.html
• https://www.sanofi.com/-/media/Project/One-Sanofi-Web/Websites/Global/Sanofi-COM/Home/en/about-
us/img/Infographie_RevolutionIndustrielle_1940x960_EN-5.JPG
• https://www.researchgate.net/figure/Industrial-IoT-ecosystem-including-major-applications-and-players-3_fig8_277562344
• https://dzone.com/articles/10-cloud-platforms-for-internet-of-things-iot
• https://www.ixon.cloud/knowledge-hub/7-practical-applications-of-iiot-in-industrial-automation
• https://www.embedded.com/sensor-systems-in-the-industrial-iot/
• https://windowsreport.com/iot-simulators/
• https://www.ubuntupit.com/top-15-standard-iot-protocols-that-you-must-know-about/
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Bibliography (cont.)
• https://en.wikipedia.org/wiki/Robotic_process_automation
• https://www.g2.com/categories/robotic-process-automation-rpa
• https://www.leapwork.com/blog/hyperautomation-what-why-how
• https://data-flair.training/blogs/data-science-vs-artificial-intelligence-vs-machine-learning-vs-deep-learning/
• https://mc.ai/data-science-vs-artificial-intelligence-vs-machine-learning-vs-deep-learning-2/
• https://www.chetu.com/blogs/artificial-intelligence/is-rpa-part-of-ai.php
• https://marutitech.com/robotic-process-automation-vs-traditional-automation/
• http://www.b2b.com/benefits-of-rpa-focus-is-on-roi
• https://www.automationanywhere.com/au/company/blog/product-insights/what-is-cognitive-automation-a-primer
• https://financialservicesblog.accenture.com/the-benefits-and-limitations-of-rpa-implementation
• https://www.edureka.co/blog/rpa-tutorial/
• https://www.nice.com/rpa/rpa-guide/what-is-cognitive-rpa/
• https://ayehu.com/pros-cons-robotic-process-automation/
• https://www2.deloitte.com/us/en/insights/focus/signals-for-strategists/cognitive-enterprise-robotic-process-automation.html#endnote-sup-2
• https://bernardmarr.com/default.asp?contentID=1909
• https://blog.aimultiple.com/robotic-process-automation-use-cases/
• https://mindmajix.com/30-rpa-examples
• https://cheezburger.com/5982965248
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Bibliography (cont.)
• https://medium.com/datadriveninvestor/an-insight-to-robotic-and-
intelligent-process-automation-1a8686a160fd
• https://amdosoft.com/index.php/en/robotic-process-automation
• https://krify.co/tag/types-of-rpa/
• https://www.reddit.com/r/rpa_automation/comments/9fq4uk/how_
does_rpa_work/
15-May-20 91

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