The automotive industry needs to understand how to make the most of cloud investment through the use of machine learning and automation, writes Christian Ott

Adopting a cloud should bring great efficiency. So why do businesses often lose control of their cloud spending by spending as much or more than they did before moving to the cloud?

The simple answer is that the use of cloud infrastructure without proper monitoring and analysis makes cost optimization a major challenge for IT teams, who need to make sure that duplication of effort and over-provision do not become too difficult to track.

In the automotive industry, change is a new constant, and agility is the key to survival. Clouds quickly come to mind when thinking about change, agility and speed, especially when developing software. The infrastructure is available at your fingertips at any scale, and that’s what developers love. However, building a robust and scalable ecosystem can become challenging very quickly, and requires a certain level of quality and scale of enterprise, especially when managing data and building tons of containers, such as through automated testing.

Coverage of cloud infrastructure without proper monitoring and analysis makes cost optimization a major challenge for IT teams

Don’t waste, don’t want to

According to last year’s Forbes report, about 80% of businesses find managing cloud spending difficult and spend an average of about 35% of their cloud spending. The manufacturing wings of the automotive business are particularly vulnerable to the problem of waste because manufacturing processes are supported by significant digital infrastructure. This means that the process of building and running a software infrastructure with cloud code is causing many automotive companies to experience the spread of the cloud in terms of costs.

As data continues to grow, managing computing requirements in cloud ecosystems is becoming increasingly complex. This growing complexity means that not every company has the time or ability to figure out how to optimize cloud infrastructure costs and keep them under control. In fact, according to Capgeminitechnological evolution is causing great demand for next-generation software and data solutions that the industry is currently unable to provide.

Due to the fact that the global automotive industry is moving to a new normal regime, it has never been more important for the sector to properly configure the cloud

Unfortunately, this lack of visibility of cloud computing resources and the struggle to manage them has direct implications for costs for the rest of the business. To ensure the maximum value of spent cloud dollars, car companies need to rely on tools and invest in them that can dynamically meet their ongoing needs with optimal cloud resources.

How the car business can solve this problem

To combat these challenges, the automotive industry needs to understand how to make the most of cloud investment through machine learning and automation. This means collecting data at the border, transporting them to the right place at the right time with the right attributes. This also includes controlling the cost in the cloud using algorithms to select the right cloud service, subscription plan and automation.

Collaborating with the right technology partners will help automotive companies take advantage of this technology to improve the user experience, accelerate innovation, ensure quality throughout the production process, improve data privacy and security, and provide valid information for improvement. By doing so, automotive organizations can simplify and automate their cloud infrastructures while providing maximum performance at the lowest possible cost no matter where the workloads and applications run.

Due to the fact that the global automotive industry is moving to a new normal mode, it has never been more important for the sector to properly set up the cloud. By using machine learning and automation, automotive companies can optimize cloud costs tailored to business needs to increase efficiency in the future.


The views expressed herein are those of the author and do not necessarily reflect the views of Automotive World Ltd.

Christian Ot is Director of Solution Development, Global Automotive at NetApp

The The automotive world The comment column is open to automotive decision makers and influencers. If you would like to comment, please contact editorial@automotiveworld.com

https://www.automotiveworld.com/articles/money-for-nothing-the-automotive-cloud-conundrum/

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