Emerging Technologies in Business: Opportunities and Challenges

This poster presentation explores the impact of emerging technologies on global business, including AI and cybersecurity. It also discusses the Business Model Canvas and its key components. No specific subject, course code, or college/university mentioned.

Emergence of New Technology in Business
Introduction
A global business operates resources
like industries and distribution centers
etc. in many countries around the
world. This is in contrast to the foreign
business, which sells commodities
across the world but has only resources
in their own country. It leads to high
level of competition between various
firms.
Emerging new technologies to
develop new business model
• Emerging technology used to
describe new technologies, but may
refer to the continuous development
of existing technologies; can have a
slightly different meaning when
used in different fields, such as
media, business, science, or
education.
• Emerging digital technologies have
created new opportunities while
creating new legal challenges,
particularly with regard to
copyright, trademarks, patents,
patents, and licensing.
• For example, the development of
new digital communication and
media technologies has created
novel problems related to digital
reproduction and the distribution of
copyrighted works.
• Cybersecurity is a very important
technology used in a business as with so
many organizations undergoing huge digital
transformations, awareness of the ongoing
looming presence of cyberattacks continues
to grow – not only for large organizations
but also for small businesses.
Opportunities of AI in business
• AI can be the opportunity for the Unilever
as it will help the business for human error
exist in manual testing which helps the
business to save their time and money
which helps in the production and profit of
the Unilever. It can also open the
opportunity path for security, cyber startup
and also AI related learning applications
which will aids the Unilever to perform
more in the market.
• It works by joining large amounts of data
which AI helps in automotive working
process. Here it can also use the concept of
business intelligence through which is used
to place a large amount of data in a
systematic manner.
• AI also brings the opportunity in the
Unilever in the financial sector by using
automatic trading, data management,
automatic calculations and so on which will
help the business in optimizing the process
of quantitative trading and financial risk
management.
Key Partners:
Unilever Works with
providers at local and
national level.
Participates in joint
ventures and
collaborations. And a
supplier of raw material
items.
Key Activities:
Buying and selling
goods. Unilever helps in
Improving efficient
distribution of channels.
Determines the
behaviour of customers,
demand and market
structure.
Value Proposition:
Unilever has secured
online and offline
experience of
shopping.
Home delivery and
flexible service.
24 * 7 order and
delivery service for
the first 6 months
and if the target
values of sales units
is reached then they
will be compensated
for 6 months more.
Customer
Relationships:
Unilever has long-term
relations.
To develop a loyal
customer base.
Attract new consumers
and keep them satisfied
by concentrating on
their wishes and living
up to their
expectations.
Customer Segments:
Lower and middle section
of society.
Key Resources:
IT structure.
Online presence on
platforms of various
social media.
Channels:
Physical shop of
Unilever, its
Official applications
which is online, social
media and websites.
Business Canvas Model
Business Model Canvas systematically displays a business model, so an
individual can focus on the segment of the business model by segment.