The future of data management is getting exciting and very… intelligent. The time has come when the IT world is re-examining big data analytics with Artificial Intelligence (AI), and it’s just the beginning.
According to Gartner’s 2019 CIO agenda survey, 14% of global CIOs have already deployed AI and 48% will deploy it by 2020. More organisations are adopting Artificial Intelligence, however, whilst adoption is increasing, some enterprises are still questioning the business impact and benefits, claims Gartner.
So what does an AI for data management actually mean? What does it do and why does your business need it? To answer that question, we need to look back at the past.
Over the last two decades, data storage costs have significantly changed and, as a result, the data content stored has shifted too; from carefully selected information needing a back-up stored locally at a higher cost to very affordable storage alternatives allowing all kinds of data being backed up and easily accessible at all times, guaranteed by cloud technologies.
Recently, however, things have gone through a change yet again. The cost of back-up and disaster recovery is increasing. This is led by the simple fact that we constantly back-up everything. In other words, it is not the costs of disks or a cloud that helped boost up the price of storage, it is the amount of data we keep.
With all that data being now stored, how do we distinguish what we want to keep and where? Is it going to be kept on-premise, or in a cloud, or perhaps in one of the datacentres? How do we filter and prioritise the information essential to run our business smoothly and at the lowest cost possible?
Here is where things get really interesting – Artificial Intelligence for data management. The software opportunities in this area seem to be endless and invaluable when it comes to keeping your business organised and cost effective. “The idea is to keep the right data on the right drive (or in a cloud) at the right time”, says Jason Daly, Software Defined Storage Business Development Manager for Exertis Hammer.
With the right AI software, enterprises can easily control their data management budget by having a visibility of how the data is distributed across the storage tiers. Ideally, your business wants to keep the hot data easily available in a faster storage and the cold data stored somewhere cheaper, like a cloud, for example.
Software can be programmed in so many different ways in helping you distinguish your most essential data from the secondary information. Search rules can be applied by using the metadata properties, like the last time the data was accessed, amended, created, by whom, how big the data is, where it is stored, the type of compression etc. Setting the search criteria, saving them and allowing them to be run live, or periodically, saves your business time and keeps your data organised, but most importantly it allows you to prioritise data protection.
Intelligent data management enables you also to control the information stored from being unnecessarily duplicated, saving valuable space, and therefore gaining more control over your budget.
Possibilities of merging AI with data management are endless. They help enterprises not only with their budget planning, and deliver cost savings, but they also allow larger non-profitable organisations manage their vast data for an effective storage usage.
AI and data management can play crucial roles in various vertical markets ranging from medical research, autonomous car development, media and entertainment and gaming to name but a few.
IT managers, working for research centres or hospitals, with the help of intelligent software, can create projects where the results of medical research are stored safely and protected. The software will be programmed to recognise that the data saved is important (as researches cannot be repeated) and, for safety, it will be kept in a various locations like a cloud, a local disk, a datacentre or a disaster recovery site. In case of an emergency, this will allow IT managers to retrieve the incidental loss of the valuable data in no time.
In the automotive industry, Artificial Intelligence has many applications; not only does it drive autonomous vehicles but helps them being built - robots drive optimisation and the rethinking of processes and production in innovative new ways. AI software can be programmed to detect driver’s behaviour, to control vehicle’s predictive maintenance, or even assist with automotive insurance purposes. In order to carry out all of the above and many more actions, data management is a crucial part of AI application. Data must not only be easily accessible and well organised, it has to be safely stored and protected at all times. Introduction of a data managing software allows important data storage monitoring, its flow and security.
Exertis Hammer vendors, StrongBox Data Solution and InfiniteIO, are market leaders in the field of Artificial Intelligence for data management. StrongBox’s product, StrongLink, provides your business with autonomous data management where all the important information is stored safely and protected at all times. StrongBox has been chosen as a data management tool in the world’s largest enterprises across 17 industries.
InfiniteIO, powered by the world’s fastest metadata engine, delivers the lowest possible latency to enable applications to run faster, reduce development cycles and increase data productivity.
If you want to know more about the intelligent data management and how it can benefit your business, speak to your Exertis Hammer account manager.
Published Date: 31/01/2020
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