In this latest decade, the adoption of cloud will carry on increasing as companies start embracing this flexible consumption through multi-cloud and hybrid environments.
For most companies, this hybrid-cloud approach is one of the interim steps towards a lengthy process that involves digital transformation. Due to many factors, which include a reliance on the legal systems and having to comply with different corporate regulations, most organisations have made the choice to place workloads on public and private clouds. Gartner has predicted by 2002, that 90% of all organisations would have adopted this hybrid-infrastructure management.
Over and above the Hybrid Cloud, companies are now adopting different multi-cloud solutions more than ever that combines cloud services across multiple providers. From a Kentik report in 2019, 58% of organisations already use combinations of Microsoft Azure, AWS (Amazon Web Services), and Google Cloud across their multi-cloud networks. The multi-cloud approach allows businesses to examine and assess the weaknesses and strengths of various vendors before they make long-term commitments.
However, there are still many companies that harbour reservations when it comes to using public clouds, which is one of the main reasons these hybrid-clouds have increased in popularity. A recent report from FileCloud states that 50% of organisations do not have plans to move mission-critical workloads to public clouds. Symantec also reports that over 50% of businesses face challenges when it comes to offering adequate protection for their workloads, and they also have fears that their security maturity may not keep up with cloud adoption.
These increasing concerns about cloud-security have presented providers with unique opportunities. In most instances, cloud providers offer security expertise and capabilities that are far greater than many organisations could ever hope to achieve themselves. For these reasons, security is now one of the main drivers for hybrid-cloud adoption. The cloud-based security solutions have continued to increase and gain traction for a number of industries, which is especially true for government, financial services, along with other types of highly-regulated sectors.
As we mentioned, in the previous year, cloud-based solutions have also offered a highly popular way to acquire AI capabilities. More and more organisations, like Auricl and others, now view AI as important when it comes to their continued growth and innovation. Deloitte’s survey ” The Global State of AI in the Enterprise 2nd Edition” discovered that the early adopters of AI regard this type of technology as “critically” or “very” important to the success of their companies. The number of executives that have rated AI as “critically important” will, or is expected to, increase globally in the next 2 years.
From our survey, AI benefits up until now has primarily focused on “enhancing services and products” along with “optimising internal business operations”. In the next year, enterprises will also likely implement AI to manage customer interactions, test and develop products, personalise services and products, deliver connected equipment, and enable a more intense involvement of personalised assistants when it comes to day-to-day activities of consumers.
With the surge of the IoT (Internet of Things) devices, along with an increase in portability when it comes to AI-driven tools and computing power, now is the time for edge-computing to start experiencing drastic growth. Think about this: Gartner has stated that businesses generated only 10% of their overall data outside of the cloud or data centres in 2019. This figure is said to reach up to 75% over the following 6 years. the IDC has predicted that in 3 years, 45% of IoT-generated data is going to be analysed, stored, processed, and then acted upon at or close to the “edge of networks”. This will be mainly driven by IoT applications across industries such as retail, manufacturing, energy, healthcare, logistics, agriculture, and financial services.
We are expecting to start seeing a lot more fixed and portable networks with real-time, local low-latency, high-capacity processing capabilities that embed AI and analytics to transform customer experiences. The advantages of edge-computing can easily extend to distribution facilities, factories, autonomous vehicles, and in any other situation where data has to be locally processed rather than sending this data to data centres or the cloud.