Significance of edge computing and artificial intelligence

1. SHIFTING CLOUDS:
AI&IoTMAKEEDGECOMPUTING
THENEWBUZZWORD
PRESENTED BY : GROUP 9
Shivam Nagpal - 19DM198
Shubhali Singh - 19DM208
Sonal Jain - 19DM218
Thokchom Sana Ahingba - 19DM228
Rudraksh Jaidka - 19DM239
Anuvesh Sachdeva - 19DM250

2. INTERNET OF THINGS
The Internet of Things (IoT) is a computing concept
that describes the idea of everyday physical objects
being connected to the internet and being able to
identify themselves to other devices.
The Internet of Things (IoT) is the extension
of Internet connectivityinto physical devices and
everyday objects.
Embedded with electronics, Internet connectivity,
and other forms of hardware (suchas sensors), these
devices can communicate and interact with others
over the Internet, and they can be remotely
monitored and controlled.

4. ARTIFICIAL INTELLIGENCE
Computer science defines AI researchas the
study of “Intelligent Agents": any device that
perceives its environment and takes actions
that maximize its chance of successfully
achieving its goals.
A more elaborate definition characterizes AI as
“a system’s abilityto correctly interpret
external data, to learnfromsuch data, and to
use those learnings to achieve specificgoals and
tasks through flexible adaptation.”

6. MACHINE LEARNING
Machine learning is an Applicationof Artificial Intelligence
(AI) that provides systems the ability to automatically learn
and improve fromexperience without being explicitly
programmed.
Machine learning focuses on the development of computer
programs that can access data and use it learnfor
themselves.
The processof learning begins withobservations or data,
suchas, directexperience, or instruction, in order to look
for patterns in data and make better decisions in the
future based on the examples that we provide.

8. CLOUDCOMPUTING
Cloud computing is the delivery of different services through
the Internet. These resourcesinclude tools and applications
likedata storage, servers, databases, networking, and
software.
Rather than keepingfileson a proprietary harddrive or local
storage device, cloud-basedstorage makes it possibleto save
themto a remote database. As longas an electronicdevice
has access to the web, it has access to the dataand the
software programs to run it.
Cloud computing is a popular option for people and
businessesfor a number of reasons including cost savings,
increased productivity, speed and efficiency, performance,
and security.

10. TYPES OF CLOUD COMPUTING

11. CLOUD SERVICE MODELS

12. APPLICATIONS
1. CLOUDSTORAGE
Ex: Dropbox, Gmail, Facebook
2. Marketing CLOUDPLATFORM
Ex. HubSpot, Adobe Marketing Cloud
3. CLOUDCOMPUTING IN EDUCATION
Ex: AmazonWeb Service
4.CLOUDCOMPUTINGIN HEALTH CARE
Ex: Clear Data, IBMCloud
5. CLOUDCOMPUTING FOR GOVERNMENT
Ex: Data Protection

13. EDGECOMPUTING
Edge computing allows data producedby Internet
of Things (IoT) devices to be processedcloser to
where it is createdinsteadof sending it across
long routes to data centers or clouds.
Doing this computing closer to the edge of the
network lets organizations analyze important data
in near real-time – a needof organizations across
many industries, including manufacturing, health
care, telecommunications and finance.

14. Despite the improvements of network technology, data centers
cannot guarantee acceptable transfer rates and response times,
which could be a critical requirement for many applications.
Furthermore devices at the edge constantly consume data coming
from the cloud, forcing companies to build content delivery
networks to decentralize data and service provisioning, leveraging
physical proximity to the end user.

15. BENEFITS OF EDGE COMPUTING

16. WHY EDGE
COMPUTING ???

17. Incorporating edge computing into your network can bring
benefits to a cloud network by addressing the following:
1.Latency
2.Security Processing data
3.Connectivity Costs and Bandwidth
4.Business Uptime

18. How Edge Computing Compares with
Cloud Computing
The keydistinctionbetween edge computing and
cloud computingis where and how data is stored
and processed. In cloudcomputing, IoT devices
capture data and the entire data set is submitted for
further processing to the cloud.
In edge computing, information is gatheredand
partially, or entirely, processedlocally on the IoT
device. Then, only pertinent processed information is
shared withthe data center as necessary.

19. EDGE COMPUTING APPLICATIONS
1. AUTONOMOUS VEHICLE
2. AUGMENTED REALITY AND
VIRTUAL REALITY
3. RETAIL
4. CONNECTED HOMES AND OFFICE