The term cloud was introduced before 1993, modern cloud computing was created and popularized by Amazon in 2006 with the Elastic Compute Cloud service. Today, cloud services have become a hot topic for discussion, and more convenient throughout the world. Many users appreciate the fact that cloud-based servers ensure constant uptime and fast data transfer rates, with ultimate data backup solutions.
This article will discuss key insights on:
- Cloud computing and Software as a Service (SaaS)
- Cloud computing in AI and its benefits
- The advantages and security of MVision AI’s cloud-based solutions
What is cloud computing and how does it work?
‘The cloud’ refers to servers that are accessed over the Internet, and the software and databases that run on those servers. Cloud servers are located in data centers globally. Cloud services help simplify the lives of users by managing physical servers, or running software applications on machines so that the users don’t have to. To understand how cloud computing works, it can be divided into the front-end and the back-end.
The front-end helps users to access data stored in the cloud using an internet browser or a cloud computing software. The back-end consists of servers, computers, databases, and central servers. The central server facilitates operations by following a set of rules known as protocols, using a software to ensure seamless connectivity between devices and computers, linked via cloud computing.
What is Saas?
SaaS (or Software-as-a-Service) is a cloud-based method of providing software to users. With SaaS, users can subscribe to an application rather than purchasing it once and installing it. In doing so, users can log on and use a SaaS application from any compatible device over the Internet. The application itself runs on remote cloud servers.
What is the role of cloud computing in AI?
The primary factors driving cloud computing in AI are: the AI tools and software delivering value to cloud computing. An AI cloud consists of a shared infrastructure for AI use cases, supporting numerous projects and AI workloads simultaneously. Cloud computing with AI has been an effective catalyst for organizations. According to the World Economic Forum’s ‘The Future of Jobs’ report, “cloud computing is the highest priority for business leaders. Most companies will be using cloud-based computing by 2025.”
Key Benefits of Cloud Computing for AI
Cloud based artificial intelligence has many advantages including:
- Automatic updates and upgrades
Since software is deployed in the data centers, SaaS solutions simplify the updating and upgrading processes. The only thing that the hospital needs is a working internet connection. Upgrading the on-premises software can be time consuming and complex. As a result, system upgrades happen every few years. However, with MVision’s cloud-based solution, updates are frequent (2-3 times per year). This means that hospitals will always have access to the latest software available.
- Improving efficiency and productivity
Enterprises using AI-driven cloud computing have the potential to be more efficient, strategic and insight-driven. This is because AI can automate complex and repetitive tasks to boost productivity, while performing data analysis without any human intervention.
- Maintaining user security
“IT teams can use AI-powered network security tools to track and evaluate network traffic. AI-powered systems can raise a flag as soon as they find an anomaly. This proactive approach helps prevent any damage to critical data,” said Joydip Kanjilal of Tech Target.
MVision AI’s cloud based and local servers are secure while providing the optimal user experience.
MVision AI values user and patient confidentiality. MVision AI ensures that all key areas are secure and are GDPR-compliant. Although MVision AI provides cloud-based systems to ensure data loss prevention, MVision equips clinics with local server solutions, too. Therefore, MVision complies with both general and cloud security regulations. You can learn more about how MVision AI guarantees a secure, confidential, and GDPR-compliant user experience here.
Key Advantages of MVision’s cloud-based AI:
- 99.97% up-time: 24/7 service
MVision AI’s services are available continuously.
- Hassle-free: minimal disruption automatic updates
You no longer have to worry about service interruptions interfering with your work. MVision AI provides automatic updates to reduce the stress and time of update preparations.
- Enhanced security against data loss
To ensure security, all data is handheld according to agreement (usually data deleted within 24 hours) and no personal information on patients is collected. To safeguard data loss prevention, our local servers and cloud-based, multi-server approach helps you to secure your data.
Discover MVision AI
MVision AI is proud to maintain the highest quality, guideline-based, SaaS radiotherapy services possible. To stay up-to-date on the latest news and information, visit our website or follow us on LinkedIn.
For more information on our services, contact MVision AI:
c/o Terkko Health Hub, Haartmaninkatu 4, 00290 Helsinki, Finland.
Tel: +358 (0) 40 5489 229
For media inquiries:
Tel: +358 40 500 7915
Kanjilal, Joydip. “Benefits and Drawbacks of Ai in Cloud Computing.” SearchCloudComputing, TechTarget, 14 June 2021, searchcloudcomputing.techtarget.com/tip/Benefits-and-drawbacks-of-AI-in-cloud-computing.
Uslu, Kivanc. “The Role of Cloud Computing in Artificial Intelligence.” Medium, Towards Data Science, 13 Apr. 2021, towardsdatascience.com/the-role-of-cloud-computing-in-artificial-intelligence-507ffd68ca46.