As things shift into the ever growing world of cloud computing, talks of Artificial Intelligence (AI) integration to enhance cloud performance continues at an accelerating rate. Combining AI and cloud technology is beneficial to varying degrees, nevertheless, there is still some additional progress to be made across the challenges that technical developers are facing for a more cohesive integration.
Cloud computing alone allows companies to be more flexible whilst also providing economic value when hosting data and applications on the cloud. With AI generating analytical data insights, it plays an important role in its enhanced capabilities in data management. However, it begs the question, can AI and cloud unification streamline data efficiently and what other benefits can arise from this integration?
Cloud and AI integration
As increasingly more enterprises are choosing to invest in cloud technology, there has been a noticeable difference throughout company structures, where workflow has become more streamlined. It is clear that cloud computing as a whole, offers more agility by having all information readily available online. Data can be shared instantly between various devices, among multiple people. AI offers a whole new layer to optimising work systems, and data analysis through formed patterns, providing solutions for better quality of service for customers.
This optimisation is extremely important due to the amount of data that the cloud possesses. Focusing on workflow enhancements in particular through this integration process improves both productivity and mitigates errors in data processes. The cloud holds company information, plus the data from each employee, and with new information coming in each day, it is important to be able to command it in the most flexible and agile way that drives the digital transformation of the organisation.
Due to the financial and personal sensitivity such organisations carry, thoughts also turn to the question of integration effectiveness and how well it can protect privacy when companies are continually at risk of security breach. What many fail to realise, however, is that the cloud itself has very secure measures which block malicious web traffic through its extensive cloud firewall. An AI system heightens this protection – detecting fraudulent activity based on its analytics, and anticipating cyber attacks before they even occur. In other words – having both AI and cloud technology is akin to having the ultimate superteam protection during online activity.
The expansive digital age
In this current digital age, AI has the potential to greatly impact businesses across all sectors, and investing in this kind of technology is at the forefront of business operations. When considering all the techniques of AI utilities, it is estimated that between $3.5 trillion and $5.8 trillion could be generated annually across 19 countries, simply by integrating AI into the workspace. It has been predicted that cloud computing could be able to self-manage once AI tech advances and becomes more sophisticated. This means that the system would be able to monitor and manage any issues that arise and fix the issues itself, which would in turn, allow technical developers to focus their attention on bettering the strategic value of the company rather than system repairs. This results in a unique and powerful combination that companies can use to their advantage.
Lowering costs is a feat that every business around the globe is trying to achieve, and with cloud technology and AI integration, it can become reality. These automated solutions simplify tasks immensely, eradicating the need for manned data centres within organisations. Costs are also cut in research and development, as the AI/cloud integration can do those tasks at no additional cost.
Integration issues and ethics
While the cost effective benefits of merging AI with cloud technology has many companies smiling, it calls into question the ethics behind employee security. There have been many utterances in the past of AI replacing human workers which has been continually dispelled over time, nevertheless, it does not stop workers from being concerned about their positions in the future.
With optimisation on the tip of enterprise’s tongues, and a lessened need for workers in positions that operating systems can do better, fasting and with fewer errors, concerns are justified. It is the role of employers to assure their employees that these systems are there to work alongside them to increase work efficiency and to understand that it’s not there to replace human ability, but to augment it.
There are also concerns regarding the privacy of the AI/Cloud systems. As previously stated, it is a wonderful tool to secure online systems to prevent fraudulent activity – but can it be too secure? Some of the data analysis can result in false positives, accusing consumers incorrectly and inconvenience them by the same system designed to help them. Errors like these show that human monitors are still required to ensure cases like these are few, and are able to correct these mistakes when they do occur.
AI and cloud technology – is merging worth it?
AI and cloud technology evolving side by side can change the way people communicate and interact with technology on the whole. While there are concerns on how much value AI can truly deliver if there isn’t sufficient quality data available that is both structured and complete, when adequate data is on hand, the integration of these technologies can reduce the complexity of system processes, and aid with understanding better courses of action to take.
Having technology helping to create new innovative ideas to improve upon the market not only benefits the enterprises utilising it, but also the consumers who may rely on the result of these ideas. Society is ever evolving and with AI – cloud technology, the world can continue to propel itself deeper into the technological age.