To create a brand that people can trust, the company needs to predict intentions and needs along the consumer decision journey
Almost two thirds of the world’s
Artificial intelligence enables
Pattern recognition (objects in
population will have access to
computerised systems to collect
real scenes, facial identities, facial
the Internet by 2023. According
data to perform the tasks of
expressions, spoken words).
to CISCO (2021), there will be 5.3
intelligent beings in a way that
Anomaly recognition (unusual
billion total internet users (66%
maximises their chances of
sequences of credit card
of the world population) by 2023,
success. There are different types
transactions, unusual patterns
were 3.9 billion (51% of the world
of AI (computer vision, natural
of sensor readings in a nuclear
population) in 2018. The number
language processing, voice and
reactor).
of devices connected to IP networks will be more than three times the world population by 2023. There will be 3.6 networked devices per capita by 2023, up
audio processing, predictions/ predictions on structured data,
Prediction (future stock prices or
distributed AI: autonomous
exchange rates, which movies a
agents and autonomous systems:
person will like).
robots), but all are focused on trying to mimic human
According to the AI Index
intelligence in computers to
Report of 2021, AI systems are
make their intelligent operations.
generative of everything, as they
The effort to develop computer-
can now compose text, audio, and
based systems that behave
images to a sufficiently
like humans includes natural
high standard that humans
languages, robotics, perceptual,
have a hard time telling the
expert systems, and “intelligent”
difference between synthetic
machines! AI builds, through
and non-synthetic outputs for
analogies, a system that seeks
some constrained applications
knowledge to solve any problem
of the technology.
it faces. Some examples of
On the other hand, the
algorithms that use AI are related
Given this scenario, it is
industrialisation of computer
to CBR, Collaborative Filtering,
vision has seen immense
understood that marketing will
Genetic Algorithms, Neural
progress in the past decade,
have to be based on data, using
Networks and Bayesian Networks.
primarily due to machine
predictive and contextual models,
On the other hand, the evolution
learning techniques (specifically
using the capabilities of artificial
of algorithms associated with
deep learning). Meanwhile,
(or augmented) intelligence,
machine learning and deep
companies are investing
augmented reality, becoming
learning allows tasks to be
increasingly large amounts
augmented marketing.
performed by learning, namely:
of computational resources in
from 2.4 networked devices per capita in 2018. There will be 29.3 billion networked devices by 2023, up from 18.4 billion in 2018. Machine-to-Machine (M2M) connections will be half of global connected devices and connections by 2023. The share of M2M connections will increase from 33% in 2018 to 50% in 2023. There will be 14.7 billion M2M connections by 2023.
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