Impact of AI on Media and Entertainment

This report discusses the impact of AI on the media and entertainment industry, including its benefits, issues, drivers, and barriers. It explores the use of AI in marketing, video gaming, sports, and movies, as well as the main drivers for AI adoption. The report also highlights the barriers faced by companies in implementing AI and provides insights into the future of AI in media and entertainment.

Running Head: IMPACT OF AI ON MEDIA AND ENTERTAINMENT
IMPACT OF AI ON MEDIA AND ENTERTAINMENT
Name of the Student
Name of University
Author Note

1IMPACT OF AI ON MEDIA AND ENTERTAINMENT
Executive Summary
The aim of this report is to understand the impact of AI on media and entertainment. The
report discusses about the main benefits and issues of AI related to business. The report
also discusses about the main drivers and barriers of artificial intelligence in the field of
media and entertainment.

2IMPACT OF AI ON MEDIA AND ENTERTAINMENT
Table of Contents
Introduction....................................................................................................................2
Discussion......................................................................................................................3
Form of AI used in Media and Entertainment...........................................................3
Marketing & advertisement:......................................................................................3
AI in video gaming.....................................................................................................3
AI in sports.................................................................................................................4
AI in movies...............................................................................................................4
Main Driver for AI on media and entertainment.......................................................4
Voice based on virtual assistant-................................................................................5
Visual Recognition-...................................................................................................5
Virtual reality and Augmented Reality-.....................................................................5
Post Production-.........................................................................................................6
Production of Content-...............................................................................................6
Main Barriers for Artificial Intelligence....................................................................7
Problems related to access of Data.............................................................................7
Lack of emotional intelligence...................................................................................7
Gap in skills and lack of data.....................................................................................7
Barriers in culture.......................................................................................................8
Lack of strategic approach in AI adoption.................................................................8
Future of Artificial Intelligence.................................................................................8
Video Workflows.......................................................................................................8

3IMPACT OF AI ON MEDIA AND ENTERTAINMENT
Cyborg Technology....................................................................................................9
Automation of Transformation..................................................................................9
Solving changes in climate chance............................................................................9
Robots as the coordinator...........................................................................................9
Conclusion....................................................................................................................10
References....................................................................................................................11

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Introduction
In the world of computer science artificial intelligence can also be considered as
machine intelligence , is a type of intelligence that can be demonstrated with the help of
machines, contrasting to natural intelligence that is demonstrated by humans and other
animals. Giants in technology and digital native companies such as Google, Apple or
Amazon , investing a lot of money in numerous technical aspects collectivey known as
artificial intelligence. Most businesses in AI consist of internal spreading and deployment in
huge scale and cash-rich companies. At same time big technological companies are start-
ups based on AI not only to secure technology but to secure quality talent. Companies are
also using technologies to expand their search in abroad. Facebook is taking initiate to open
their AI labs located in Paris provide facilities in United States and it will make be easier for
companies to recruit top researchers available in the European countries. Few of the
companies have used AI in their value chains. According to the research out of 3073
respondents only 20 percent of AI technology will be able to experience a strong growth over
next three years or more. The IT analysts who are concurring the market size for AI
technology will get to experience strong growth over next three years. Benefits of AI are
impressive in retails. AI approach to demand forecasting are effective in retails. By using AI
lost sales due to product unavailability is reduced by 65 percent.
Discussion
Form of AI used in Media and Entertainment
Marketing & advertisement:
Companies use machine learning in developing film trailers and in advertisement.
Personalizing user experience where the entertainment providers use the concept of artificial
intelligence for recommendation of personalized data content from activities of users &
behaviour (Bhargava, 2016).

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AI usage in video gaming
The usage of AI in the industry of gaming is leading to games which are realistic in
nature which shows natural ways that real humans basically move about (Freeman 2018).
By the usage of the power of neural-network, the avatars is considered to be bob and can
weave throughout critical landscapes in an unexpected fashion.
AI in sports
In the world of sports AI is basically used to increase the capability of the key player
both on as well as off the field. As Intel is represented in CES, AI based systems is now
being trained for recognising the actions and automatically detect the objects and also used
in identification of race car as it is passing the car.
AI in movies
AI has been implemented in movies long time back in classic science fictitious
movies of 1920s and in 1930s. AI is used to automate both in previous and post production
in process. An example can be taken as a players in the industry, offers AI products which
help the producers of movies for automating and speeding up the processes of the script
breakdown and for budgeting and scheduling.AI also help in post-production. AI or artificial
intelligence helps the production teams for automating tasks which are time consuming like
grouping of the clips. The uses of artificial intelligence in movies are in the creation of the
movie trailers for horror films such as Morgan. In near future AI can be used extensively in
actual content creation. The glimpse of this feature was found in Flinstones video contents.
Team for Allen Institute for Artificial Intelligence trained the AI models to annotate video
captions database which is greater than Flinstones videos.
Main Driver for AI on media and entertainment
Predictive analysis basically uses critical assumption, that the future behaviours is
likely to be influenced from the trends that happened in past, and in most of the cases it is
good for a certain period of time. Deep learning basically uses neural networks to bring the

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brains of human’s brains to take machine learning to higher levels. Deep learning basically
brings a shift from old schools decisions to more realistic one. AI is used to automate the
tasks which are largely human intensive and it offers benefits from the scalability and
repeatability. AI is used to automate difficult jobs of audio or video synchronization, which
saves huge amount of human effort as well as cutting down on human mistakes.
In the following there is mentioned some top ten trends of AI transformation areas which is
driving the Media and Entertainment Industry.
Voice based on virtual assistant-
Voice assistants such as Alexa, voice remotes like SIRI and Roku and Google home
have started fading TV remotes by using the basic navigation technology. The next
technology that is coming is using intelligence for content searching and discoveries by use
of user follow up commands. Using of AI learning algorithms is now used for consumer’s
knowledge graphs, input voice and contents that is rich in metadata which offers
personalized recommendations.
Visual Recognition-
Object recognition and Facial is the AI area which is used on visual processing. It is
basically used for individual identification and objects in videos and in still images as well as
there is a change of relative with time. In recent scenario AI and machine based learning is
used to master visual perceptions such as face and pattern identification and in automating
content creation. Facebook and many other organization has used this technology in photo
application to do a great job in tagging of friends.
Virtual reality and Augmented Reality-
The market of Augmented Reality and Virtual Reality as well has immense potential
in the market but this technologies has underperformed largely due to challenge in costs,
maturity in contents and usage related issues. Virtual reality is basically specializes in
developing a 360 degree experience. The augmented reality basically deals with overlaying

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of computer graphics elements on the real world elements. Considering a larger part VR/ AR
brings renewed energy by improvement of quality of information and in decision making.AI is
providing also a great help with the image accuracy, bringing of understanding in the input of
users and the intent, correlation between content, contextualization as well as authoring of
content which helps in building immersive user experience.
Post Production-
Creative processes are based on unique rules and regulations and this can be
mastered by algorithms in machine learning. The movies based on AI that was released in
last September has some common elements in the movie theme (Bostrom 2017). The trailer
of the movie although being finalized by editors who are human was basically suggested by
AI using the platform, IBM Watson. In this movie Watson was being trained to learn from
same kind of themes and then select some critical themes from the movie which was
combined together for the creation of the final trailer. This movie is a great example where AI
was used to select the themes, insertion of visual effects and also create a convincing trailer
like that it was edited by humans. Some of the areas where AI is making its entry in the
structural and systematic analysis of the video content which helps in the creation of short
form of video snippets for news, segmentation of videos as well as showing special interest
in fan engagement. Proofing of script, content clean-up and also taking pass in editing of film
editing. Skimming of video in slow content captures to create informative content.
Production of Content-
Object based and structural analysis of the contents has helped in opening new
avenues where AI is helping with development of content. Learning of minute details of how
on-screening character is behaving, walks, talks and every moods of face expression, AI has
created virtual performances. AI is still improving in the by taking small steps in world of
creation of contents and will serve in many areas to benefit the production processes by
creating virtual characters in humans by learning from features, expressions and adopting
styles of popular celebrities. It will automates computer graphics related work in animation

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movies which will replace human intensive works of characters animation but will have a far
greater efficiency.
Main Barriers for Artificial Intelligence
The companies are excited regarding certain technologies related to AI. AI or artificial
intelligence has got the capability to completely reshape how the companies operate
functions which include marketing, customer services and finance as well. Due to increase in
technologies the companies also faces certain challenges related to AI. The challenges that
the companies faces are discussed in details in the following parts of the paragraphs.
Problems related to access of Data
Data can be considered as the lifeblood of all companies especially in digital
economy sectors who are looking to apply AI to certain number of areas has faced certain
challenges. One of the major issues is related to privacy of data in case of harvesting the
personal information, particularly in General Data Protection.
Lacking in emotional intelligence
Companies look forward to use customer support service that are artificial
intelligence based. Companies are building chatbots that are AI-powered which help in
interaction on platforms such as Facebook Messanger. The applications that are based on
AI lacks in emotional intelligence and the most important scenario is that the apps are
unable to demonstrate the empathy, which proves to be a huge barrier in success of AI in
the customer service application which can be referred to as chatbots.
Gap in skills and lack of data
The respondents working in the organizations having mature AI practices cited that
there is data and lack in peoples as the challenges they faced attempt to adopt more AI
technologies. Considering the case of data, there are tools designed to help the companies
overcome lacking of data, which includes tools for generating synthetic data, automation
technologies which is designed to super change human labellers. The improvements of tools

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has made AI to be more accessible to the users. Many of the machine libraries are open
source and many are cutting-edge models as well.
Barriers in culture
Barriers related to cultural is all about related to resistance to change. Human beings
are noted as a creature of habit. It takes persuasion that disruption and expense will cause
alteration of procedures or adoption of new processes will worth gain.
Lack of strategic approach in AI adoption
Strategic amalgamation have several barriers which include lack of talent, lack in
management and culture insufficiently in practicability of AI and transformation. The AI
technologies and its advantages fail to approach from strategic point which means
understanding the aims and objectives of AI operations from gathering of data to how insight
uncovered communicated across the workforce.
Future of Artificial Intelligence
AI is the most used buzzwords. It does not matter whether anyone is in the
automotive industry, healthcare, media or entertainment segment (Hayashi and Fujisawa
2015). Most of the media industry is already boasting some kind of AI based solutions which
implements in the business workflows. Example of AI in media industry is when in the 20th
century Fox and IBM used the Watson APIs and machine’s technique of learning to analyse
the horrors and movie trailers.
Video Workflows
Ways in which video is streamed is important. AI contributes best possible image
quality while optimization of network usage, utilization of intelligent fault diagnosis during
video delivery instead of the manual alerts configuration, which makes the content
accessible to the international or hearing-impaired peoples by the means of subtitling and
captioning (Glyavin et al. 2018).

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Cyborg Technology
The main limitations of human is their bodies and their brains. In future the
technology will come that peoples will achieve the capability to augment themselves with
computers, enhance their natural abilities (Doyle 2018). The cyborg technology will help to in
significant reduction of the limitations the amputees are dealing with in a regular manner.
Automation of Transformation
Development in the transformation section with the help of artificial intelligence will
bring a great change in media and entertainment segment (Canaan et al. 2019). The
peoples are already experiencing the self-driven cars, although the vehicles currently require
a driver who will be present in the car. Despite all these changes the technologies are not
perfect yet and this technology will take time for user acceptance of bringing automated cars
in to a widespread usage. Google has first started the testing of self-driven cars since the
year 2012 and since that time the department of U.S has released certain definition in
different automation levels (Chui et al. 2018).
Solving changes in climate chance
Changing in climate according to the needs of the situation seems to be an
impractical idea, but as explained by Stuart Russell in the near future machines will be able
to change the climate according to the demand of the situation by using artificial intelligence
(Takefuji 2018). Using of big data theory, AI will be able to identify the trends and will use
certain techniques to solve one of the biggest problems of humanity. This control over
climate changes will prove to be beneficial for all the sectors and will also provide a great
help in media and entertainment industry as well (Bykov and Maimistov 2016).
Robots as the coordinator
Future of AI also include involvement of AI based robots in the media and
entertainment segments. Most of the robots does not consist of any emotion and is very hard
to picture robots (Cath et al. 2019). Company in Japan has taken the first step towards

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robots as coordinators. The robots was programmed in such a way that it was able to read
the emotions of humans and could develop their own emotions (Cox 2017). This innovation
in the field of artificial intelligence will prove to be a great revolution in media and
entertainment segments as robots can be used as actors in films and this will be a whole
new approach in the field of media and entertainment (Dennett 2017).
Conclusion
In the entire report the analysis was regarding the main benefits and issues that are
related to business. In this report the discussion also included the main drivers for AI
adopted in media and entertainment department. Here the discussion also included future
scope of AI on media and entertainment segments. After the analysis of the entire report the
conclusion comes out that in the field of media and entertainment the impact of AI is huge.
The implementation of AI in the media and entertainment segments can change this industry
completely. There are certain factors which can occur as a drawback in this implementation
process. But in the near future this will definitely happen that the whole media and
entertainment industry will be AI dependent. There will be a change in the way people used
to watch television, used mobile and the change will also reflect in film creation. A time will
also come in the near future that the actors who are acting in the films will not be humans
but humans will be replaced by robots and this will be a totally different approach which
everyone will be able to recognize in the world of film industry.

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