This is an individual assessment task. Students will submit a report (1200 words excluding references) on any topic of your choice pertaining to emerging technological trends or radical innovations in...

WRITTEN ASSIGNMENT
Table of contents
Introduction    3
Purpose    3
Use of AI and Deep Learning in business    3
Intelligent Robots and Intelligent Shops    4
Ways of interacting    4
Recommendations    5
Conclusion    5
References    7
Introduction
In today's fast-paced retail environment, retailers should revaluate what they do, how they make it happen, and how they produce things. In the time of Artificial Intelligence and Big Data, shopping centres are embracing innovation to become more intelligent to convey more noteworthy client joy, better help, better responsiveness to buyer demands, and supply to remain cutthroat. AI can acknowledge immense unmistakable data from wide sources, including photos and recordings, as well as client conduct and reaction, whether on the web or disconnected. As an outcome, an enormous measure of data is let out of many sources with unmistakable examples, permitting us to catch purchaser and vender looks and plan a semantic interaction that can change a firm.
Purpose
The report's main goal is to characterize, describe, and anticipate the overall artificial intelligence in retail market by type, innovation, arrangement, administration, sending mode, application, and topography.
Use of AI and Deep Learning in business
Deep Learning is a subfield of Machine Learning that traces all the way back to the 1950s, when Artificial Intelligence was first presented. In Guerrero Peño, (2022) words, networks related to this sort of learning gain from data in the very way that infants gain from their general surroundings, starting with an open-minded perspective and in the end securing the capacities expected to cross novel environmental elements. AI is starting to penetrate our daily lives, and it has of late embraced the corporate world, bringing development and changing the manner in which businesses run. For instance, Deep Learning has been utilized to recognize eager people for designated coupon mailings; pregnant mothers would be designated with limits with expectations of becoming steadfast clients who might keep on buying maternity items. Moreover, purchased things can be used to decide a singular's inclinations. Retailers assess exchange data from their clients consistently for publicizing, designated advancements, and stock administration. A few stores have even introduced devices in checkout lines that create special coupons in light of the items in the ongoing exchange. Sites do this consistently to offer advertisements in light of our internet riding history. A machine learning algorithm gains normal examples of conduct utilizing data from many individuals, which may then be utilized to make ideas.
Intelligent Robots and Intelligent Shops
Since deep learning is not a learning method all by itself, there are...