biggest technology trends Artificial Intelligence Data Science Internet of Things Nanotechnology Robotic Process Automation (RPA) Virtual Reality Edge Computing Intelligent apps More Technology Trends

2. TABLE OF CONTENT
 Artificial Intelligence
 Data Science
 Internet of Things
 Nanotechnology
 Robotic Process Automation (RPA)
 Virtual Reality
 Edge Computing
 Intelligent apps
 More Technology Trends

3. ARTIFICIAL INTELLIGENCE
John McCarthy (1927 – 2011) - founder of the
discipline of artificial intelligence in 1950.
 An Allen Newell and Herbert A. Simon created the
“first artificial intelligence program” which was
named as "Logic Theorist".
 LOGIC THEORIST-mimic the problem solving skills
of a human being
 Artificial intelligence (AI) is the technology used for
equipping computer systems with the ability to
make decisions like humans.
Used in
 navigation based applications like Uber
 voice assistants like Siri
 video streaming services like Netflix
 IoT devices and in search engines like Google and
Bing.

4. ARTIFICIAL INTELLIGENCE
 Advantage
AI automation is expected to create more than 70 million jobs.
 Disadvantage
AI might wipe out more than 23 million jobs by the same time frame.
 Career role
 Machine Learning Engineer
 Data Scientist
 Computer Vision Engineer
 Business Intelligence Developer
 Data Analyst

5. DATA SCIENCE
John W. Tukey - 1962
 Data Science is the technology that helps to make sense of complicated data.
 Most of this data is in the form of huge data sets that are unstructured. The role of data scientists is to
convert these unstructured data sets into structured datasets. Then, these data sets can be analyzed
to identify patterns and trends.
 Helpful in decision making.
These patterns are useful for understanding the
 company’s business performance
 customer retention
 how these areas can be improved.

6. DATA SCIENCE
 Job requirements
But getting a job in this field will require you to have a thorough understanding of mathematics, statistics,
computer science, and programming
 Salary
The average salary of a Data Scientist is $117k /yr.
 Career roles
 Data Scientist
 Data Architect
 Business Intelligence Manager
 Data Engineer
 Data Analyst
 Business Analyst

7. INTERNET OF THINGS
Kevin Ashton - 1999
At Procter & Gamble, Ashton who was working in supply chain optimization, wanted to attract senior
management’s attention to a new exciting technology called RFID.
 The IoT (Internet of Things) is a network of devices that are connected to each other. Their devices can
interact and share data with each other.
 These devices may be connected via Wi-Fi, and they share data about their environments and how
they are being used. These devices have a computer chip that facilitates this exchange.
 IoT not only enables the connection between different devices but also their remote access.

8. INTERNET OF THINGS
 Prediction
It is predicted that more than 41 billion devices powered by IoT will be used by 2025.
 Careers
 IoT Software Developer
 System Design Engineer
 IoT Product Manager
 IoT Research Developer
 IoT Solution Architect

9. NANOTECHNOLOGY
Professor Norio Taniguchi.
Coined the term nanotechnology in his explorations of ultra precision machining.
 The manipulation of materials on an atomic or molecular scale especially to build
microscopic devices (such as robots) Placing atoms as though they were bricks.
 Nanotechnology will give us complete control over the structure of matter, allowing us
to build any substance or structure permitted by the laws of nature.
Approaches APPLICATIONS
 Descending (top-down)
 Ascending (bottom-up)
 Electronics energy
 Textile
 Biomedicine
 Environment
 Food

11. ROBOTIC PROCESS AUTOMATION (RPA)
RPA emerged in the 2000s
Blue prism released their first product in 2003, UiPath and Automation Anywhere also released their automation libraries around the
same time.
 Robotic Process Automation (RPA) is a technology used for automating daily tasks, similar to artificial intelligence. This technology is
used for automating tasks for low-level employees to higher-ranking officials.
 RPA can automate more than 40% of daily tasks.
 According to McKinsey, more than 60% of all repetitive tasks can be partially automated using RPA.
Tools
 Pega Systems
 Blue Prism
 UiPath
 Automation Anywhere
 WorkFusion

12. ROBOTIC PROCESS AUTOMATION (RPA)
 Better than humans because
 They don’t get tired
 They don’t take breaks
 They are less expensive
 Career
 RPA Developer
 RPA Business Analyst
 RPA Consultant
 RPA Solution Architect
 RPA Project Manager

13. VIRTUAL REALITY
1968 - Ivan Sutherland & Bob Sproull
Created the first VR / AR head mounted display (Sword of Damocles) - connected to a
computer
 VR is the technology by which you can immerse yourself in an environment that
seems astonishingly realistic. It is the use of computer technology for creating a
simulated environment.
 Senses such as touch, hearing, smell, and vision are simulated in these environments.
 Using VR gear such as headsets, you can walk around and play the game in that 3D
world. The major players in this field are Facebook’s Oculus Rift, Sony’s PlayStation VR
(PSVR), and the HTC Vive.
Uses
 Used by the U.S. Navy and Coast Guard for training staff. They use a VR game
called Virtual Ship.
 AR and VR are used by doctors while performing surgery.
 Visitors in an amusement park or a museum can also use the technology to enhance
their experience.

14. VIRTUAL REALITY
 The VR industry is expected to reach close to $40 billion by 2021.
 Career
 Content Producer
 AR and VR Content Writers
 Product Management
 Software Engineer
 UI and UX Design
 Quality Assurance

15. EDGE COMPUTING
The origin of edge computing -1990s
When Akamai launched its content delivery network (CDN). The idea back then was to introduce nodes
at locations geographically closer to the end user for the delivery of cached content such as images and
videos.
 The technology is based on the philosophy of bringing computing power as close to the data source.
This helps in reducing bandwidth and latency.
 Bridging gap between the data and the computation reduces the long-distance communication
between the server and the client, which in turn enhances the speed of the process.
 Edge computing is used for handling time-sensitive data stored in remote locations that have limited
connectivity to the central location.
 The technology will make cloud computing and IoT devices faster.

16. EDGE COMPUTING
Uses in
 Healthcare
 Retail
 Manufacturing
It is estimated that by 2022, the edge computing market
will be worth $7 billion.
Salary
 It is expected that the salary range of an Edge
computing professional will be around $100,400 to
$123,000 per annum.

17. INTELLIGENT APPS
 Intelligent apps are software applications that make use of AI components such as
machine learning, deep learning, data analytics, robotics, and natural language
processing.
Examples
 voice assistants such as Siri
 Google Assistant,
 Alexa
 Companies such as Google and Apple continue investing in these applications, it is
bound to create a lot of jobs in the future.
 Intelligent applications developers are sure to bring home fat paychecks!

18. INTELLIGENT APPS

19. MORE TECHNOLOGY TRENDS
 Drones
 3D and 4D printing
 5G
 Big Data
 Cloud Computing
 Cybersecurity as Critical Business Function
 Autonomous Vehicles
 Block chain
 Quantum Computing