Businesses of all sizes are bracing for a recession. Still, while it may sound counterintuitive, this is actually the right time to accelerate digital transformation. Historically, an economic downturn is a boon for innovation. According to Morgan Stanley, roughly half of Fortune 500 companies were founded in times of recession or economic crisis. Investing in digital transformation will help businesses overcome a slowdown and address talent shortages.

In this work, we examined Business Process (BP) production as a signal; this novel approach explores a BP workflow as a linear time-invariant (LTI) system. We analysed BP productivity in the frequency domain; this standpoint examines how labour and capital act as BP input signals and how their fundamental frequencies affect BP production. Our research also proposes a simulation framework of a BP in the frequency domain for estimating productivity gains due to the introduction of automation steps. Our ultimate goal was to supply evidence to address Solow's Paradox.

Ad hoc automation may have worked for you, but most businesses haven't been able to scale its advantages throughout the entire organization. Automation investments are increasing without ever realizing their full potential, whether as a result of a shortage of skilled staff or a clear top-down vision. You require an enterprise-wide strategy to be successful. Welcome to the intelligent automation world, where Artificial Intelligence (AI) can be used to create new learning processes as well as improve existing ones. Intelligent automation (IA), also known as cognitive automation, is the application of automation technologies – artificial intelligence (AI), business process management (BPM), and robotic process automation (RPA) – to streamline and scale organizational decision-making.

According to a new Gartner study, AI is the top priority for business leaders for the third year in a row. The AI market is now on its path to reaching $126 billion by 2025, with no signs of slowing down anytime soon. Hence it's critical for CEOs to grasp the reins and steer their companies into the digital age. Metaverse may be all the rage these days, fuelling popular imagination, taking over movies, games and other pop culture, but when it comes down to the brass tacks, the top bosses at organisations worldwide continue to swear by Artificial Intelligence (AI) to drive global growth. AI has become an inseparable part of an organisation.

According to a new Gartner study, AI is the top priority for business leaders for the third year in a row. The AI market is now on its path to reaching $126 billion by 2025, with no signs of slowing down anytime soon. Hence it's critical for CEOs to grasp the reins and steer their companies into the digital age. Metaverse may be all the rage these days, fuelling popular imagination, taking over movies, games and other pop culture, but when it comes down to the brass tacks, the top bosses at organisations worldwide continue to swear by Artificial Intelligence (AI) to drive global growth. AI has become an inseparable part of an organisation.

Robotic process automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, a company can configure software, or a "robot," to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. RPA scenarios range from generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system. Many CIOs are turning to RPA to streamline enterprise operations and reduce costs. Businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work.

As businesses race towards bringing high-quality products to the markets as quickly and as efficiently as they can, automation sets a strong foundation for streamlining tedious tasks, optimizing workflows, eliminating manual efforts, and minimizing administrative errors. Analysts expect the global process automation market to cross $114 billion by 2025. In the quest to automate, enterprises are testing the limits of solutions. They are exploring different automation avenues and modes. Terms like RPA and BPA are under discussion.

If there is one mantra of business operations, it is that nothing stands still. This means that business processes, which may have been valid on day one when they were first documented, evolve as soon as people start following them. Getting started on any intelligent business process initiatives requires an understanding of how business processes are currently run. Nelson Petracek, CTO at Tibco Software, says: "People have a tendency to find shortcuts if given the opportunity, or they may find creative ways of circumventing steps or tasks that are seen as unnecessary or as bottlenecks. Fraud and other undesirable activities may also influence process execution within or across organisations."

If you work in the operations, process improvement, or robotic process automation (RPA) spaces, chances are you've seen the phrase "intelligent automation" pop up many times. While this term seems like it encompasses a lot, the lack of clarity around it can render it meaningless. Is intelligent automation a rebranding of RPA? Is it RPA enhanced by AI? Or, is it simply a catch-all term for process automation software that aims to make technologies like business process management (BPM) sound new again? It starts with technologies we know and love, like BPM and RPA, and brings them together in a unified toolkit so that an enterprise's automation needs can be addressed by the most relevant tool.

Organizations have been running on benefits and profits, for the most part, are the function of the expenses. After industrialization, the expenses were diminished by making effective processes to run things easily over an anticipated timeline. This was all acceptable till the time computers came and along came the internet connectivity. The processes moved from humble registers to computers and when the computers work turned out to be exorbitant in a specific market, some of the processes moved to the low-cost centers. This for keeping up the expense to produce more profits.