Application Of AI In The Data Storage Industry & Its Outcomes
Anand J. K. Jain has over 20+ years of experience delivering market leading solutions in Storage, Backup & Replication, Internet Security, Test Automation and Big Data & Predictive Analytics spaces. Over the years he has helped MSys venture into different technologies, built expertise, and transformed teams into becoming major players in respective domains. Being a voracious reader, he constantly pushes the limits to understand technology and its implications, and firmly believes in sharing his sound knowledge. He has done his AMIE from the Institution of Engineers, Kolkata. He is an adrenaline junkie who is passionate about adventure, travelling and good food. His ambition is to best utilize his knowledge for the betterment of humankind in whatever way possible.
How AI is Transforming Storage Technology in Today’s World
AI has transformed various industries since its integration, like data management, keeping up the infrastructure and other aspects with increased productivity. This will be like collecting analytics data or telemetry-based data which is drawn from storage systems and evaluated, with AI, a lot can be told about the capacity getting reduced and with this, a derivation can be made if there’s anything faulty with the components whether it’s physical or of any other nature. Instead of waiting for things to play out and taking action later, it can actively be monitored with the assistance of AI which helps in arriving at solutions faster, this is very helpful in clearing support tickets at a faster rate, and this in turn reduces the cost by a large margin and simultaneously optimizes data.
The interplay between hardware and software is what can be seen in the future and the medical industry is also catching on
Advantage of AI-based Storage over Traditional Based Storage
What AI-powered solutions have done is bought these data structures and algorithms in such a way that tasks can be carried out more efficiently, it makes the existing processes more seamless. This variable drives the costs down drastically which is critical. The need to understand who accessed the data, and where the data was accessed, and the implementation of AI gives insight into all this information and is crucial for governance and security. It gives various intel which is important to data security and data security has to be provided. Because enterprises deal with data and algorithms, AI helps them to move efficiently between systems and this also aids in cutting down major expenses, and when these things are done right data compression can also be done. AI-coupled storage significantly eases the tasks that traditional storage cannot accomplish.
Insight into the Future of AI
The needs of the market have grown rapidly, and with this, the demand for data storage has scaled accordingly. The solutions, the hardware, and the software that are present in storage systems have also drastically evolved. A look at the companies that are providing solutions lets us know that they have integrated vertical hardware and software into a single storage, which is something that is being seen and is increasingly being adopted in the market, this implies a lot of data can be brought, ingest that hefty data and the run that data, from bringing to analyzing, its simultaneously done, aiding greatly in decision making. All these performances which were undertaken by traditional tech-savvy high-performance computers have now been tuned in this new age in such a way that the hardware and software are co-existing in synchronization so that a lot of problems can be solved.
Activities like network related intrusions, cyber crimes love graph related analysis and this was previously undertaken by DARPA for the US Government and they were funding this, but now this has become mainstream, its commercialized, lot of enterprises have begun securing themselves, and right now new vendors have popped up and are offering solutions to this demand. The interplay between hardware and software is what can be seen in the future and the medical industry is also catching on.
AI Helps in Providing Cost-Effective Solutions. How will it do so?
This can be seen from various angles, one is the cost associated with storage, lot of use cases have been seen with duplicate data and more with redundant data which is scattered across many systems, which no one goes into it and it will become dead right then and there, so what is being done is providers help build a storage solution which helps with a lot of the data architecture, data retrieval and data tagging and in turn helps to identify what type of data is being reset and how effectively it can replace that. So that way, once the amount of data which will show duplication can be consolidated into a single vertical place or application system and be given to multiple people. A lot of data is copied but there is no proper operation, a lot of money is wasted in accessing these data at times, it is imperative to find out which data has to be shared and sharing data strategy over and over is tiring.
Humans can help in doing data management in such a way that costs can be reduced and predictive analysis can be done on top of it, so a lot of support classes can be produced, and also in effectively figuring out when you are going to run out of capacity, figuring out what is going right. You can proactively monitor and that vastly reduces support costs and failures.
Impact of AI on the Indian Market
With the advent of mobile, the data India has generated has increased exponentially, everyone has a smartphone which has quadrupled the data, and all this data has protective value. A lot of companies have risen to provide solutions to consumers and enterprises and it’s not just the major players, this is one area that is creating a lot of players from the Indian market. Indian providers can give to regional customers at a lower cost which is a key factor.
Today, AI is rapidly approaching its future, and it will undoubtedly play a role in it. As this technology advances, the world will see new startups, numerous business applications and consumer uses, job displacement, and the creation of entirely new jobs. Along with the Internet of Things, artificial intelligence has the potential to dramatically remake the economy, but its exact impact remains to be seen.