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Hyper-Automation — New Age Automation With AI

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Active minds look to obviate monotony. This is the seed of the greatest ideas that have ever transpired. Ideas that lead to progress, growth, and freedom from doing things manually. Over the past several decades, the advancement in technology has given us the greatest gift of all, time. Time to focus on our creative endeavors and leave it to the machines to carry out the tasks that our brains now consider mundane. As a species, it is our constant endeavor to make our lives easier and more convenient.

While the core meaning of “automation” remains the same, the usage of the word has truly changed over time. We have come a long way from manually switching on the ceiling fan to automatic temperature control in air conditioners everywhere. Things that we perceived as “automated” years ago, kept getting more and more automated and became more convenient to use. This is largely due to advancements in technology over the years. 

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How to Accelerate Hyper-Automation With Industrial IoT

Many enterprises have already adopted business process automation (BPA) to improve efficiency and reduce human error. However, by and large, industrial automation is fragmented – it applies to specific business aspects but is not used across the entire organization yet. The key to expanding automation across the company is hyper-automation.

In 2020, Gartner named hyper-automation the # 1 technology trend of the year. So what is it, and how can large and small businesses benefit from it? This article will walk you through specific areas where industrial IoT integration can help accelerate your pace of hyper-automation.

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Of Low-Code, Digital Trust, and Staying Ahead of the Risk Curve

It's easy to throw shade on risk like it’s a bad thing. But all innovation involves risk. Which isn’t necessarily bad. Not if the consequences of being wrong about it don’t pose an existential threat. But businesses everywhere are struggling to cope with doomsday scenarios such as climate change, cyber smash-and-grabs, the global COVID-19 crisis, and more.

Looking ahead, risk trends will continue to evolve as digital transformation accelerates, as the remote work trend mainstreams, and as enterprise spending on the internet of things tops $1 trillion by 2023. For context, overall IT spending is expected to surpass the $4 trillion mark in 2021, up 8.6% from 2020 according to analyst firm Gartner. But here’s the kicker: just 22% of CEOs believe they have a risk-management playbook to sustain the resiliency and long-term success of their business.

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Straight Talk, No Chaser: 4 Keys to Jumpstart Your Hyperautomation Journey

There’s no secret to getting a good idea to spread, but it helps if you can get your idea across without hype. This is precisely what automation expert Arjun Devadas does when he evangelizes hyperautomation in terms a non-tech execs in any organization can understand.

For example, says Devadas, insurance companies use hyperautomation to process numerous documents to settle claims. Because of hyperautomation, he says, artificial intelligence (AI)-powered tools can read and extract data at super-human speed from documents, chat, and other channels.  Which allows claims to be processed faster and more accurately than ever before.

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Automate Like a Digital Master

Suddenly there’s a crisis. What do you do?

Many organizations responded to the COVID-19 crisis by quickly automating with digitally-distanced work processes such as telemedicine, digital learning, working from home, and the like. But few were positioned to do it well.

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Key AI Trends to Look for in 2020

Artificial Intelligence is something everyone is interested in, though the results haven’t been on the positive side every time. In fact, a report says while 9 out of 10 companies invest in it, 70 percent witnessed minimal to no impact by AI. Is AI really that ineffective? Or is it that the technology wasn’t utilized sufficiently?

The year 2020 and beyond completely belong to AI only if the C-suites assess it along with ROIs that have visible results. The leaders will have to take the charge for the efficient usage of the technology and its applicability in their business process.