Autonomous database cloud technology is a revolutionary way to transform businesses and increase productivity, efficiency and profits.
Talk to IT professionals around you, and you will soon realize may be not many are working on a truly innovative, strategic aspect of technology. With the amount of data being generated every day, most employees are slogging to maintain, test, patch and secure outdated systems, and are struggling to keep up with the pace of change. Instead of creating magic with technology, a large chunk of an IT employee’s time is dedicated to simply serving technology and solving technical issues – in short, employees are caught up with just ‘managing IT’, leaving no or very little time to actually innovate. This is happening in spite of the fact that 40% of tech spending in enterprises today is going towards the pursuit of digital transformation.
A lot of organizations are often slowed down simply because they have not invested enough time, money and efforts in refreshing their systems which are the backbones of their day-to-day operations. As per a survey conducted by Oracle across top organizations, 91% leaders said they were still struggling to become data-driven.
With the Indian market being ripe to take advantage of autonomous technology, Oracle launched it’s first-ever Gen 2 datacentre in Mumbai on Modern Cloud Day on October 11, 2019. The event also had numerous sessions on cloud innovation and data management.
Autonomous cloud technology is a revolutionary way to transform a business. There are enough and more reasons why businesses should upgrade to autonomous technology quickly.
An Autonomous database helps organizations create a unified and coherent data fabric for better data management.
With data residing in multiple clouds, apps and stores, data integration accounts for nearly 50% of time and cost across organizations globally. Most businesses suffer from a siloed approach where different tools and semantics are used by different line of business users like data integrators, analysts, developers and users.
An Autonomous database helps organizations create a unified and coherent data fabric for better data management. With a single-source-of-truth in place, the way data is added and retrieved becomes standardised and the interlinking of data across functions allows for better opportunities for analysis and derivation of business insights. Functionalities such as auto-insights, auto-reports and ‘What-if’ simulations help in getting both the micro and macro perspectives that is essential for businesses.
Autonomous models along with their hierarchies, facts and attributes can be created in a jiffy. The UI encourages collaboration with convenient sharing of notebooks, templates with permission, versioning and execution scheduling.
The simple no-coding, drag and drop interface that comes with autonomous technology can completely transform the way IT is viewed by employees of any organization. Autonomous models along with their hierarchies, facts and attributes can be created in a jiffy.
The machine learning capabilities on cloud infrastructure promotes a collaborative, integrated, enterprise-grade approach along with support for latest open-source tools for data integration, preparation and visualization.
Autonomous technology helps the system manage itself and run routine tasks and upgrades without manual intervention - it is ‘self-driving’
In order to keep the legacy systems of any enterprise running as optimally as possible, a number of professionals might have to work together and take care of several routine tasks. And while even for this you will need a highly-skilled workforce, often little or no value gets added back to the organization. On the other hand, autonomous technology helps the system manage itself and run routine tasks and upgrades without manual intervention- in this sense it is ‘self-driving’. Self-service databases can be used by all users including business analysts, database developers and data scientists. This helps free up the time of employees so that they can be entrusted with better responsibilities which contribute to the progress of the organization rather than simply stagnating the organization’s as well as employees’ growth.
The self-securing nature of autonomous cloud offers cyber threat detection and remediation enabled by adaptive-intelligence along with automatic encryption and deployment of security patches.
Nearly 85 percent of data breaches occur because of a system vulnerability which occurred even when a patch had been made available for over 12 months. This means it is often the forgetfulness, carelessness or work-overload due to which a patch could not be installed on time, leading to a breach costing several organizations thousands of dollars. Some of the biggest data thefts recorded in this world have been due to human error. The self-securing nature of autonomous cloud offers cyber threat detection and remediation enabled by adaptive-intelligence along with automatic encryption and deployment of security patches. With the help of machine learning, the cyber-defence system of an autonomous cloud can automatically discover vulnerabilities which can be either external or internal. All these are automatically fixed, managed to secure the database from any future attacks. However, if in spite of all this, an attack is detected, the entire system is immediately shut down and the database administrators are flagged about an impending attack.
An autonomous database adapts to changing workloads and even allows users the choice and control to transition from manual to autonomous and back whenever required.
In the past couple of decades, we have witnessed several technological revolutions which completely changed the way societies and businesses function. However, with every technological revolution, a greater amount of complexity was introduced with more and more people needed to manage this complexity. Autonomous cloud is fundamentally different from these waves, as it aims at reducing complexity rather than increasing it. This means organizations do not need huge investments in employing new teams to manage this new technology, because the technology is self-managing. An autonomous database adapts to changing workloads and even allows users the choice and control to transition from manual to autonomous and back whenever required.
This enables the existing workforce to take up new, strategic roles, thus instilling a culture of innovation. By empowering employees to dedicate their time and energy towards enabling new experiences, products and services which could never have been possible earlier, technology is once again acting as a facilitator of innovation and exciting rich possibilities.
With autonomous IT, new-age enterprises, start-ups and SMBs can save a large amount of budget as well as time which goes into routine IT management.
Given India’s varied demographic dividend, finding skilled workforce to handle technological complexities continues to be a challenge. Autonomous technology can help upskill the Indian workforce to directly manage strategic tasks without having to get entangled in technical complexities. With more and more sectors including BFSI, manufacturing and pharma adopting blockchain, it will become all the more important to migrate to technologies which can enable these changes effectively and in a more secure manner. Moreover, it will become easier for the newer businesses to directly begin with technologies meant for the new world. With autonomous IT, these businesses can save a large amount of budget as well as time which goes into routine IT management.
Autonomous databases offer the flexibility to move workloads from on-premise to cloud and even back if required. The interoperability between different deployment options and the choice of creating a hybrid structure, if needed, makes it easier for businesses to migrate to new technology without affecting current operations.
This budget can be channelized towards creation of new offerings and better customer experiences. This will also allow businesses to gain deeper insights into the working of their current business model and will open the possibilities of adopting new business models by reacting to changes faster than ever. With Indian industries increasingly becoming dominated by millennials it’s time to build a smarter workforce and accelerate the advancements taking place across the nation. With autonomous technology, Indian businesses can now focus on solving the big problems, scaling and expanding across borders and helping India become a pacesetter on the global front.