Globally, in-memory computing is hailed as a technology that is advancing the business world in the most revolutionary way. When integrated into a business system, it uniquely improves performance in its analytical apps and opens opportunities for further innovation. According to Deloitte, in-memory computing holds the future of computing.

The main reason is that the technology solves the challenges of data management that has for many years affected performance and business intelligence. Many businesses foresee a fast-changing data landscape in 2022, thanks to memory computing.

Changing the data management game

In memory computing is destined to change the way companies store and processes data. For many years, businesses have relied on traditional storage where disks are used as storage. Over the years, they have proved to be unreliable solutions to storage due to latency and many other challenges. Instead of using unreliable disks, in-memory computing changes the scene and provides a reliable storage solution found within computers. It uses RAM as storage, changing it into row-based storage that provides speed many times faster than disks.

The game doesn’t end there because in-memory computing further provides a solution for limited data storage offered by traditional disks. Businesses adapting memory storage can store large volumes of data securely. This provides another solution for real-time analytical operations meaning a business can reliably plan fast, forecast market trends, and make timely decisions.

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These are game-changer solutions that memory computing has provided to businesses and opened new avenues for them to innovate in ways that could not have been thought about before. It gives businesses a competitive advantage due to customizable applications that give business breakthroughs in terms of planning, pricing, supply, and profitability. Looking throughout 2022, memory computing is going to be the trending technology in all business circles.

Greater adoption of memory computing in 2022

At its inception, most business managers thought memory computing was an expensive technology. As years went by, they realized the advantages offered by the technology in terms of performance, reliability, agility, and value.

Nearly every business uses apps that require high-performance systems. Memory computing provides technologies that are scalable, real-time, and cost-effective. Businesses would want to maximize benefits by taking advantage of memory computing. Due to this realization, many businesses will adopt memory computing as a number one option for their data management solutions. To help their workers learn how to work with the technology, it is expected many companies will launch corporate training programs specifically aimed at teaching employees about this new technology.

Memory computing technology that supports a wider array of AI use scenarios

There is a wider growth of business-supportive apps as developers work harder to push innovation to the next level. Artificial intelligence can now leverage various applications like machine learning and deep learning in a bigger way than ever. This has pushed memory computing vendors to innovate more, develop and improve memory computing to support more AI use cases. For AI to leverage several technologies for maximum performance, it requires more data to be supplied on a large scale.


Memory computing, on the other hand, leverages parallel computing to support large-scale data storage and migration. 2022 will be an exciting year as corporations demand space for innovation to scale on current and new apps that will help AI learn fast. Memory computing will no longer be a technology that provides data storage and processing solutions only but will be integrated into AI infrastructure to allow better insights into business marketing, sales, and customer service.

Memory storage integrated with other storage solutions

Memory computing has proved to be a real-time solution to speed and lower data handling costs. Some businesses have implemented other application architectures like the digital integration hub and the in-memory data grid to help deal with issues of latency, performance, and scale. DIHs are growing in popularity due to their importance in the corporate digital transformation process. They are powerful enough to provide 360-degree customer views. DIH’s ability to aggregate data sets into high-performance, low latency backend systems without complexities have made it a cost-effective solution to businesses.

On the other hand, IMDG functions closely like memory computing because it stores data in the RAM of several servers and distributes it across an entire network. As much as the digital integration hub can leverage IMDG to create a high-performance access point that aggregates data as a subset, this same data can be synced with other data storage like cloud, data lakes, and data warehouses.

This is an advantage to corporates using memory computing because they can move data to main memory paralleled with several other RAMs to always provide current data as updates are made into the other systems. This is an advantage that businesses will capitalize on in 2022 by using memory computing to leverage other storage solutions the business is already using. The ability for RAM storage to be enlarged will make this possible. This will provide businesses with a greater cost-effective way to handle data from multiple sources. It will reflect on business accounts as their books record more savings and increased profits.

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Adapting non-volatile memory in favor of DRAM

The widely used method for RAM storage is the dynamic random-access memory. This memory has limitations because if the power goes off, DRAM loses its data. To make DRAM more tolerant, other software is needed for memory computing platforms. There is a newer technology for memory computing that makes data stored in RAM non-volatile. This is the non-volatile memory that retains data even when there is no power. NVM will give memory computing a greater impact in its entire processes of data storage/processing. It will also remove the need to use software to increase memory computing platforms tolerance.

NVM can be a flash disk-like device that is inserted into the USB to connect with the motherboard. The data storage solutions provided by the NVM will be enormous and many corporations will choose it as their preferred storage in 2022. In the next few years, experts believe that NVM will be the trending solution for large data storage. Its impact on memory computing will be unlevelled in terms of speed, scale, and other benefits.

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