Self-driving business: An enterprise utopia
AUTOCOMPLETE emails that write themselves. Chatbots that schedule appointments for their owner. Cars that drive themselves.
Everywhere one looks, autonomous technology is taking over. And it’s easy to see why. Autonomous systems shoulder the burden of mundane tasks, and free us to do more of the things we like to do.
Take driving for example:
In the coming age of Autonomous Vehicles (AV’s) the time currently wasted behind the wheel will be freed for us to do anything we want – whether that’s reading the paper, catching up on social media or playing the latest video game against the kids or finishing that work presentation.
What’s more, thanks to the analytics and IoT capabilities of AVs, cars will be able to ‘talk’ to each other to find the best route. That means fewer traffic jams and shorter journeys.
What’s true of cars will be as true of enterprises. We’re fast approaching a new era of autonomy, where businesses will ‘drive’ themselves.
Human workers will be free to focus on higher-value, more rewarding jobs, while the overall organization will run much more efficiently – and with fewer bottlenecks – due to deep data insights and recommended next best actions. This is nothing less than an enterprise utopia, and one that every business will need to embrace to stay competitive.
The reason autonomous systems for enterprises are so important is because they solve many of the biggest challenges facing businesses today.
Whether that’s digital disruption, cost efficiency, customer experience innovation or scalability for rapid growth, autonomous systems can provide powerful answers and help companies transition from being reactive entities to proactive innovation leaders.
These capabilities are going to prove increasingly important as digital disruption accelerates, competition grows fiercer and growth becomes increasingly more difficult to secure.
Let’s take a more detailed look at what the future self-driving enterprises could look like.
Autonomous systems are based on AI, machine learning and cloud computing capabilities which allow them to operate with minimal human intervention.
In addition, because this is all cloud-based, the systems learn across, not just a single database, for instance, but across all the enabled databases running in the autonomous cloud.
This means they can gain more insights and knowledge than would be possible from looking at the systems from within just one organization, continuously giving them new and improved capabilities.
What does this mean in practice?
First, they become self-driving. Many mundane daily tasks like security are vastly improved.
In the autonomous enterprise, security patches are applied automatically, and as soon as they are available.
Meanwhile, advanced, analytics-based threat monitoring means that threats are picked up far quicker than would be possible if humans were looking for them, and remedied before they can be exploited.
Second, they become self-repairing. As maintenance can happen ‘on-the-fly’, downtime is cut to a matter of minutes each month.
This improves productivity by optimizing the availability of systems and by ensuring they’re running the most up-to-date and efficient software.
Efficiency improvements don’t stop there
In the autonomous enterprise, analytics moves up a level.
If there’s one thing that computers can do much better than people, it’s number crunch.
Through AI algorithms and machine learning capabilities combined with IoT and data integration technologies, the autonomous enterprise will be able to take data from anywhere within the business, in real-time, and analyze it for efficiency insights that even the most capable data scientist will have missed.
What’s more, thanks to advances in natural language processing, the results of data analysis are presented in easy-to-read reports complete with suggestions for future action.
Of course, these insights don’t only apply to business efficiencies. Anywhere in the organization where insights deliver business benefit, autonomous enterprises will lead.
This includes insights into customer behavior that drive product, service and business model innovation.
As such, autonomous systems provide the fuel for digital disruption: the insights that will help companies do something different to their competitors.
Moreover, as autonomous systems can spin-up data warehouses in seconds through the automatic and dynamic allocation of storage and compute capabilities, the time it takes to get from data to insight is greatly reduced, meaning that these businesses can get to market much faster than traditional organizations.
Then there’s the impact on employees. Automation technologies have had bad press, with the suggestion that they will replace human jobs.
The fact is, however, that as with any other industrial leap forward, jobs aren’t so much lost as changed. In the autonomous enterprise, these changes are for the better.
In IT, for example, team members will no longer have to spend time on boring and time-consuming tasks such as patching, update, and reporting.
Instead, they can use this time for more creative and rewarding tasks that add more value, such as performance tuning and data acquisition.
Indeed, autonomous systems make the provisioning and use of IT so easy that anyone in the business can do it.
Business unit leads are able to directly provision their own resources as they need them, leaving the IT team free to concentrate on training new AI algorithms.
These capabilities are all available today. They point to a future where the business drives itself and employees can enjoy more enriching work lives.
The alternative is to continue as we are today: manually patching systems as security threats increase, shutting down systems to maintain them as productivity stifles, losing valuable team members bored in their work and tempted by offers from more rewarding competitors, and struggling to keep up with innovation due to slow business processes.
That’s the choice facing businesses today: an autonomous utopia, or a ‘managed’ dystopia. Which will you choose?
Expert insights provided by Chris Chelliah, Group Vice President & Chief Architect, Technology & Cloud Platform, Oracle APAC
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