Business Technology Trends: How Spotify Uses AI and Cloud Computing

This presentation explores how Spotify uses artificial intelligence and cloud computing to support business processes and decision making. It highlights the benefits and challenges of these technologies and recommends future directions for the organization. The presentation also provides an introduction to business technology trends and their importance in today's marketplace.

Business
Technology
Trends

TABLE OF CONTENTS
• Introduction
• Overview of Company
• How the technologies are used by the organisation to support business processes and decision
making
• Highlight the benefits achieved by the organisation
• Challenges faced by the organisation due to the use of the technologies
• Recommend any future directions the organisation should explore to overcome the challenges
• Conclusion
• References

INTRODUCTION
Business Technology is defined as the software or an application of
information technology which is integrated in the business operations.
Technology is the thing which always continues to grow and evolve the
information technology services and applications. It is becoming
increasingly important in the day-to-day operations of the industries. Some
of the common Business Technology used by the companies is the
computers and software along with the networking and telephone
communication and other information systems as well.

OVERVIEW OF COMPANY
Spotify is one of the leading international audio streaming and media
services provider companies. It was established in 2006 and headquartered
in Sweden. It is considered as one of the world's largest music streaming
sites with over 381 million monthly active users which also includes the
172 million paying subscribers. It has various subsidiaries such as Spotify
limited and Spotify Mexico along with the Spotify USA and Spotify India
Private limited which is also followed by the soundtrap ab and Spotify ab.

HOW THE TECHNOLOGIES ARE USED BY THE ORGANISATION TO SUPPORT
BUSINESS PROCESSES AND DECISION MAKING
Spotify uses the two major technologies which are the latest trends in the marketplace.
Artificial intelligence and cloud computing are the two major technologies which are used by
the Spotify. Spotify uses artificial intelligence with the help of their protective
recommendations engine. This enables Spotify to create the curator personalized playlist for
example the discovery weekly and release radar. This is the engine which is built with the help
of combining the collaborative filtering and natural language processing along with the audio
models for better creation of the personalized playlist. Spotify uses cloud computing to store
the technical resources of the organization in an online manner for better security and for the
better reach to the audiences (Cagáňová, Balog, Knapčíková, Soviar and Mezarcıöz, 2019).

HIGHLIGHT THE BENEFITS ACHIEVED BY THE ORGANISATION
Benefits achieved by Spotify by adopting the latest technologies of artificial
intelligence and cloud computing are such that the company has gained an
increment in its efficiency and productivity. Such technologies have
provided the advantages to improve the speed of the business with the new
capabilities and business model expansion. It has also facilitated better
customer service and improved monitoring as well. It has also supported
better quality and reduction of the human and with better talent management
(Data, 2019).

CHALLENGES FACED BY THE ORGANISATION DUE TO THE USE OF THE TECHNOLOGIES
Challenges faced by Spotify because of the usage of such Technology trends
have resulted in the high cost of implementation because the setting up of
these technologies requires high technical resources. Spotify can face the
risk of data confidentiality because of the dependence on internet connection
and also requires a high level of security with compliance. Moreover such
technologies are considered vulnerable in the event of an attack because of
the data mobility and technical problems and also with the law connection
errors (Golkar and Salado, 2020).

RECOMMEND ANY FUTURE DIRECTIONS THE ORGANISATION SHOULD EXPLORE TO
OVERCOME THE CHALLENGES
It is recommended that Spotify must use the latest technology trend of big
Data analytics in order to overcome the challenges. Big Data analytics is
basically the use of advanced techniques on an analytical basis against very
large and diverse data sets. These data sets include structured and semi-
structured data along with the unstructured data from various sources and in
different sizes from TB to zettabytes. Spotify can overcome the challenges
of security and cost due to the artificial intelligence and cloud computing
with the help of big Data analytics.

CONCLUSION
It is concluded that Business Technology trends is an important concept to
learn and study so that its applications can be applied in real world
organizations. This is because nowadays it is impossible for businesses to
survive without adopting the latest technology trends. The reason being is
that Technology helps in efficiency and provides competitive advantage
which ultimately helps to gain stability in the marketplace. It supports the
business in increasing the large number of sales and revenue generations for
better growth and development in the industry.

REFERENCES
Andriole, S.J., 2018. What executives should know about technology trends. IT
Professional, 20(2), pp.80-82.
Cagáňová, D., Balog, M., Knapčíková, L., Soviar, J. and Mezarcıöz, S. eds.,
2019. Smart Technology Trends in Industrial and Business Management. Springer
International Publishing.
Data, L.B., 2019. Technology trends.
Ebert, C. and Tavernier, B., 2021. Technology trends: Strategies for the new
normal. IEEE Software, 38(2), pp.7-14.
Golkar, A. and Salado, A., 2020. Definition of New Space—Expert Survey Results
and Key Technology Trends. IEEE Journal on Miniaturization for Air and Space
Systems, 2(1), pp.2-9.
Khan, M., 2019. Big data analytics emerging trends, technology and innovations for
the future business in the global market. International Journal of Scientific
Research and Review, 8(2), pp.745-750.