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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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Observability and AIOps: The Perfect Combination for Dynamic Environments

IT teams live in dynamic environments and continuous integration/continuous delivery has been in high demand. In the dynamic environment, DevOps and underlying technologies such as containers and microservices, continue to grow more dynamic, and complex. Now, just like DevOps, observability has become a part of the software development life cycle.

With basic monitoring techniques, ITOps and DevOps teams lack the visibility to support the explosive growth in data volumes that arise in these modern environments. And, that’s also because they cannot scale with manual processes. Traditional monitoring systems focused on capturing, storing, and presenting data generated by underlying IT systems. Human operators were responsible for analyzing the resulting data sets and making necessary decisions, making the IT processes human-dependent.

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Solve the Order-to-Cash Challenges With RPA and Cognitive Automation

Organizations learn the hard way how slow and inefficient order-to-cash processes can affect their ability to grow. Errors in order processing increase costs, result in write-offs, and frustrate customers and stakeholders. Delays in processing orders can result in missing top-line revenue targets.

At Automation Anywhere, we’re observing the same challenges with our customers. One of our customers faced highly variable order-to-cash demand with surges every quarter-end. They possessed a manual order-to-cash process involving 50 full-time staff. The company tried digitization but found the intelligent OCR solution they selected had higher setup costs than expected. It also required manual creation of customer order form templates that delivered inconsistent results. Troubleshooting became a burden and impacted the delivery of the outstanding customer support that the company is known for.

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Transforming the Role of the CIO With AI

The potential of artificial intelligence, particularly in the form of a digital workforce, to dramatically alter our world is undeniable. It’s no longer a question of if, but when.

In fact, Forrester Research expects one in 10 startups will employ more bots than humans in just a few years as automation technologies continue to mature. At the core of many of these technologies will be AI, helping orchestrate, improve, and discover.

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How AI and RPA Combine to Create Intelligent Automation

It could be said that the technological developments in all industries contribute to compounding developments in the future.

That is to say, better technology today makes it a little easier to harness better technologies tomorrow. Smarter algorithms, more robust hardware, and more capable programs all make it easier to find technologies of the future, effectively quickening technological growth with each discovery. Each and every discovery can work with others to offer new possibilities.  Image title