Ayehu Launches Intelligent Automation Radio Podcast

Business Technology Podcast Features Executive Thought Leaders’ Mind Sharing and Insights, Exploring the Intersection of Intelligent Automation and the Next Generation Enterprise

  Ayehu, provider of the leading AI-powered IT and security automation and orchestration platform, today announced that it has launched a new podcast series called Intelligent Automation Radio. The podcast will air monthly and feature executive level interviews covering topics addressing the most advanced technology innovation and trends impacting today’s enterprises, including the future of work, artificial intelligence, automation, cyber security, IoT and more.

Intelligent Automation Radio explores the issues and opportunities companies are facing as they cross the digital divide and move toward becoming self-driving enterprises. Tune in to hear from technology visionaries, Fortune 500 corporate executives, CIOs and CSIOs, industry experts and other luminaries.

“We are at the dawn of the 4th Industrial Revolution, with automation, artificial intelligence, and other technologies changing how the world works,” said Guy Nadivi, Intelligent Automation Radio Host and Senior Director of Customer Success, Ayehu. “As these technologies become more intelligent, they offer game-changing opportunities for savvy C-Suite executives to leapfrog their competition.”

Join the first opening episode for the fall 2018 season, an exciting conversation with Robert H. Brown, Cognizant Center for the Future of Work. Hear about the intersection of technology, people, and the jobs that are being profoundly impacted by advances in automation and AI. Brown comments on how businesses and jobs will be evolving in the digital economy. 

Future episodes will delve into additional areas pertaining to digital transformation innovations such as deep learning, data science, analytics, security automation, robotic process automation, Internet of Things, blockchain, and more.  Intelligent Automation Radio invites CIOs, technologists, and others to share their first-hand experience and thoughts about their outlook on the future.

To listen to the podcast, visit https://ayehu.com/podcast.   

Listener feedback and suggestions are welcome. If you would like to be considered as a potential future guest on the show, or would like to suggest any topics to be covered, please contact podcast host Guy Nadivi at guy@ayehu.com.

About Ayehu

Ayehu’s AI-powered automation and orchestration platform is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by hundreds of major enterprises and leading technology solution and service partners, Ayehu supports thousands of automated processes across the globe. For more information, please visit www.ayehu.com and the company blog.  Follow Ayehu on Twitter and LinkedIn.

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Leveraging Intelligent Automation to Bridge the Skills Gap

Leveraging Intelligent Automation to Bridge the Skills GapWhen it comes to digital transformation, certain distinct skillsets are needed – of which many are in short supply. The area of cybersecurity, for instance, is suffering a remarkable shortage of talent. IT operations that focus on human capital and disparate tools and systems simply won’t be enough to keep up with the staggering pace of innovation.

Modern enterprises must be capable of adapting quickly to the ever-changing and increasingly complex environment while also remaining flexible. Furthermore, a growing number of IT technologies, applications, systems and processes must be adopted and routinely updated in order for organizations to remain competitive.

These demands pose a serious challenge to those enterprises that do not have adequate talent or expertise. For those IT teams that find themselves behind the eight ball, intelligent automation can be their ace in the hole.

The Shift from Human to Machine

Gartner predicts that by 2020, 75% of enterprises will experience visible business disruption due to skills gaps. This is up dramatically from just 20% in 2016. This is a serious concern for business leaders across all industries.

In response, many organizations are already working to add technologies that can augment their existing human resources. In particular, intelligent automation and orchestration is becoming a significant focus. In fact, Gartner lists AI and machine learning strategy development/investment among “the top five CIO priorities.”

Making the shift from human to machine results in two distinct advantages. One, because intelligent automation is capable of performing massive amounts of error-free work, productivity skyrockets. Second, with the addition of intelligent automation, existing human workers can apply their advanced skills to more important business initiatives, such as growth and innovation. And thanks to machine learning and AI technologies, decision-makers can avail themselves of data-driven support.

A Match Made in IT Heaven

With intelligent automation, organizations facing the challenge of budgetary restraints can build highly functioning, agile IT operations without the need to hire additional staff. Existing personnel can be trained and reskilled to become versatilists — those who can hold multiple roles, most of which will be business, rather than technology, related.

The key to delivering digital value at scale is having the right people talent,” says Terrence Cosgrove, research vice president at Gartner. “Currently there just isn’t enough talent with the digital dexterity for hire, so I&O leaders will need to develop this core competency in the talent they already have.

With the help of intelligent automation, IT departments can operate at maximum efficiency, saving time and money in the process. In fact, this technology has the potential to position forward-thinking enterprises at the forefront of digital transformation, despite the growing talent shortage.

Could your organization benefit from this “ace in the hole?” Find out today by taking Ayehu for a test drive.

 

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The CAO’s Role in Digital Transformation

The CAO's Role in Digital TransformationToday’s savvy business leaders recognize the need to adapt to changing technology or risk being left behind. And while we may not be able to control what that technology will be or which direction it will take us, we can take advantage by responding quickly and making the necessary adaptations before our competitors. That’s why the role of Chief Automation Officer is becoming much more necessary.

A recent study by PMG revealed that the biggest obstacle to successful adoption of automation was the lack of a holistic approach. In fact, 59 percent of respondents agreed that automation implemented on an ad hoc basis leads to incompatibility and subsequent inefficiency. Most organizations today require not only a unification of silos but also the ability to align automation strategies between different physical locations, some of which may be situated half a world away.

How can one expect to effectively align IT functions with the business as a whole when automation – the very technology that’s designed to enable better business decisions – is not adequately represented in the C-Suite? A CAO brings valuable perspective with the ability to see automation from a global viewpoint. As a result, automation becomes a critical component of the overall strategy rather than just a means to deliver it.

Organizations with multiple technology centers located worldwide recognize the importance of global collaboration to the forward progress of the company. There is little overall business value if you’ve achieved continuous process improvement in just one office but not the others. You may have certain specialists deployed across the globe who are highly skilled at managing automation technology, but if there’s no central strategy and one leader, their abilities cannot be maximized.

The CAO’s purpose is to drive this type of simultaneous widespread orchestration. While automation specialists focus on their specific IT departments, managing the day to day operations, the Chief Automation Officer spends his or her time looking outward and forward. This role is absolutely essential to achieving rapid, sustainable transformation, as the ability to orchestrate automation on a global scale and unify strategies is what ultimately enables businesses to adapt at the speed of thought.

Automation is critical to an organization’s ability to reallocate capital from today’s business operations to the needs of tomorrow. It allows IT to shift from reactively putting out fires to taking a more proactive approach, which is necessary for successful digital transformation.

The good news is automation is evolving at relatively the same pace as the complexity it is designed to simplify. Disruption that would otherwise be overwhelming is now becoming entirely feasible thanks to automation and orchestration solutions that provide a competitive edge. Deriving business value from the IoT, for instance, is made possible by automation strategies that process and analyze the data being procured. Automation essentially frees up funds that can then be used to fuel innovation.

The CAO is responsible for taking optimized workflows and applying them wherever feasible throughout the entire organization. This creates more compliant and easily auditable processes. And because this approach eliminates repetition and duplication of work, the entire operation can run more consistently and efficiently. Furthermore, by evaluating how automation is utilized throughout the company, the CAO is also able to optimize the allocation of human resources, removing bottlenecks and improving productivity across the enterprise.

Another area where the CAO can be highly beneficial to the company is in his or her ability to seek inspiration from the rest of the workforce. One company was able to uncover nearly 300 innovative ideas simply by asking employees to suggest processes to automate. In the absence of this communication between upper management and frontline workers, these suggestions, and the positive changes they brought about, would have remained private.

In conclusion, automation remains a catalyst for change, driver of innovation and procurer of productivity. With the overarching visibility and control a CAO provides, automation strategies will have the flexibility and scope needed to stimulate disruption and achieve digital transformation.

Want to see the power of automation and orchestration powered by machine learning in action? Click here to request a product demo.

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How Intelligent Process Automation is Revolutionizing the Financial Field

How Intelligent Process Automation is Revolutionizing the Financial FieldJust as robots have been performing routine, repetitive tasks on the floors of factories for decades, that same concept is now being applied to the financial industry with tremendous results. Intelligent process automation (IPA), powered by AI and machine learning technologies, promises to revolutionize how financial organizations operate, maximizing efficiency, cutting costs and ensuring optimal service levels.

This advanced technology has the potential to transform just about every area of the finance function. In particular, IPA will enable finance professionals to make the critical shift from transactional to strategic.

When rote, manual tasks are automated, skilled finance experts will spend less of their time running reports and performing provisional data analyses. Instead, they will be able to quickly and easily gather and analyze the essential data they need to enhance performance and deliver better support. No longer bogged down with busy-work, these experts will have the time to engage with other lines of business and deliver the forward-thinking guidance that leadership needs to pursue new opportunities.

Let’s take a look at a few real-life examples of how intelligent process automation can be applied in financial institutions.

Account Reconciliations

A good portion of today’s accounting teams spend far too much time performing manual reconciliations across a variety of systems. At the enterprise level, this can involve thousands or tens of thousands of individual transactions across multiple systems, both internal and external.

In reality, many of the mismatches found in reconciliations actually follow similar patterns. For instance, an entry was made twice in error or someone accidentally keyed in a negative sign instead of a positive. Intelligent process automation is capable of not only recognizing these patterns, but also identifying the issue at hand and correcting it. In many cases, this can be done without the need for any human input.

Some estimates indicate that up to 80% of these simple reconciliation tasks can be automated, freeing up skilled staff to focus their efforts on the smaller percentage that are more complex or require human judgment.

Closings

For most corporations, the end of the month or quarter is a stressful time that requires all hands on deck to handle the financial close. This process typically involves a number of different systems, multiple finance teams and several lines of business, there are a multitude of dependencies that require tracking and management. For instance, certain accounts cannot be closed until all related sub-accounts are closed by the subsidiaries.

Intelligent process automation can alleviate much of this complexity by:

  • Automatically tracking the status of completed tasks across multiple systems
  • Automatically initiating close processes upon completion of dependent tasks
  • Updating the close calendar to provide visibility into the status of the financial close process

Financial Planning & Analysis

FP&A is another complex but necessary process eating up a significant portion of time, particularly for senior executives. It involves creating and approving budgets, analyzing spend, managing those budgets, etc. With IPA, routine budget requests that follow a common pattern don’t need to be signed off on. Instead, only unfamiliar or unusual requests will require review and approval.

Prior to submitting a request for executive approval, the intelligent process automation platform can analyze the pattern (i.e. dollar amount, similar requests that were made in the past, etc.). If it determines that similar requests received 100% approval in the past, the software can automatically process the approval without the need for human intervention. If an anomoly is detected, it can reroute to an executive for manual review.

PwC predicts that by 2020, financial services organization will begin to ramp up their AI adoption, streamlining operations and re-shoring jobs. And given the tremendous benefits intelligent process automation has to offer, it’s obvious why.

Want to position your financial organization for future success? Jump on the IPA train! Click here for a free, interactive product demo and get started on the path to digital revolution today.

IT Process Automation Survival Guide

5 Practical Business Applications for Machine Learning

5 Practical Business Applications for Machine Learning Today’s forward-thinking organizations are leveraging the power of artificial intelligence to automate the decision making process. In fact, corporate investment in AI is predicted to reach $100 billion by the year 2025. As a result of this rapid digital transformation, many changes are underway in the workplace. In particular, there are a number of ways that machine learning is already making an impact for companies in every industry. Here are a few to consider.

Personalizing the customer experience.

One of the most exciting benefits machine learning can have for businesses is the fact that it can help improve the customer experience while also lowering costs. Through things like deep data mining, natural language processing and continuous learning algorithms, customers can receive highly personalized support with little to no human intervention. And people are warming to the idea. In fact, 44% of US consumers say they actually prefer chatbots to human agents.

Improving loyalty and retention.

With machine learning, companies can do a deep dive into customer behavior to identify those who are at a higher risk of churning. This enables organizations to develop and implement next steps designed to target and retain those high-risk customers. The more proactive a company is in this area, the more profitable it will be over time.

Enhancing the hiring process.

When asked about the most difficult part of their job, corporate recruiters and hiring managers almost unanimously list the task of shortlisting qualified candidates for job openings. With dozens and sometimes even hundreds of applicants, sifting through and narrowing down the options can be a monumental task. Machine learning is fundamentally changing the way this process is handled by letting software do the dirty work, quickly identifying and shortlisting those candidates that are the best fit.

Detecting fraud.

Did you know that the average organization loses up to 5% of their total revenues each year due to fraud? Machine learning algorithms can be used to track data and apply pattern recognition to identify anomalies. This can help risk management detect fraudulent transactions in real-time so they can be prevented. This type of “algorithmic security” can also be applied to cybersecurity, leveraging AI to quickly and accurately pinpoint threats so they can be addressed before they are able to do damage.

Streamlining IT operations.

Another way AI and machine learning are revolutionizing how organizations operate is through intelligent IT automation. Powered by machine learning algorithms, agentless automation and orchestration platforms become force multipliers, driving efficiency and helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure.

Want to see machine learning in action? Schedule a free product demo today!

eBook: 10 time consuming tasks you should automate

How to Mitigate Risk with Compliance Automation

How to Mitigate Risk with Compliance AutomationWith laws and regulatory requirements evolving on a continuous basis and the stakes incredibly high in most industries, compliance professionals face the challenge of eliminating whatever might be standing in the way of conformity. Despite the fact that many organizations have already invested significantly in maintaining compliance, their efforts are often undermined by something as basic as improper or inadequate reporting. That’s where compliance automation comes into play.

The outcome of companies that fail to prioritize compliance can be seen all around us. Almost daily, another headline appears highlighting the downfall of yet another promising startup. Not only do failures in this area impact the company itself and its customers and investors, but these incidents also tend to result in a tightening of compliance regulations. So, in essence, when one organization messes up, everyone in that industry (and sometimes beyond) must pay to some degree.

When it comes to compliance, there are a number of ways a company can head down the wrong path. Businesses are tasked with staying on top of complex regulations and deal with the time, money and other resources that are consumed by ongoing data gathering and compliance monitoring. Streamlining reporting through compliance automation can alleviate much of this burden. But how? What’s the best way to transition from manual to automated (and therefore more auditable) processes?

The simplest solution is to eliminate as much human interaction from your workflows as possible. Compliance automation delivers much more than enhanced efficiency. It also provides a number of benefits as they relate to risk management. With an automation and orchestration platform in place, compliance teams can rest easy knowing that they are in good standing with all regulatory requirements.

Furthermore, come audit time, all the relevant data will be available at the click of a button. With automated workflows, there’s no laborious data gathering or risk of erroneous reporting. Most critically, because the business will remain compliant, it will also remain safe from potential penalties and other costly consequences. The less the compliance team relies on manual processes, the less exposure there will be for the company as a whole.

Remember – compliance problems don’t only result in costly fines and penalties. They can also wreak havoc on a company’s reputation, market value and more. By integrating automated technology into the compliance process, businesses can effectively eliminate additional risk of human error that could threaten to derail an otherwise sound operation. Compliance automation facilitates a repetitive, easily monitored and managed set of workflows, gathering data in one single platform and exposing potential issues so they can be addressed before they become a serious problem.

To see for yourself how Ayehu’s automation and orchestration platform can help streamline compliance and just about every other area of your business operations, click here.

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Ayehu Wins Stevie® Award in 2018 International Business Awards®

Ayehu, provider of the leading AI-powered IT and Security Automation and Orchestration platform, today announced that its latest platform release was named the winner of a bronze Stevie® Award for Best New Product of the Year in the software, artificial intelligence/machine learning category in The 15th Annual International Business Awards®.

Ayehu’s next generation IT Automation and Orchestration platform powered by artificial intelligence is the first of its kind, no code automation solution, designed to help IT and security operations teams manage the overwhelming and increasing influx of alerts, incidents and requests. The multi-purpose, AI-powered software automation platform fully mimics repetitive manual IT work processes of humans including complex tasks across multiple, disparate systems. With data-driven intelligent recommendations teams and leaders become more agile in their decision making and more efficient in their operations, resulting in greater achievements for their businesses.

The International Business Awards are the world’s premier business awards program. All individuals and organizations worldwide – public and private, for-profit and non-profit, large and small – are eligible to submit nominations. The 2018 IBAs received entries from 74 nations and territories.

More than 3,900 nominations from organizations of all sizes and in virtually every industry were submitted this year for consideration in a wide range of categories. Stevie Award winners were determined by the average scores of more than 270 executives worldwide who participated on 12 juries.

“Ayehu is honored to have been recognized by the Stevie Award judges for its innovation and use of new technology,” said Gabby Nizri, CEO and Co-Founder, Ayehu. “Artificial Intelligence technology is essential to corporations as they cross the digital divide and move towards self-driving enterprises. We are dedicated to applying AI to enterprise automation, to make it as easy and productive as possible for IT and Security teams to handle their increasing workloads.”

Details about The International Business Awards and the lists of Stevie Award winners are available at www.StevieAwards.com/IBA.

About Ayehu
Ayehu’s AI-powered automation and orchestration platform is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by hundreds of major enterprises and leading technology solution and service partners, Ayehu supports thousands of automated processes across the globe. For more information, please visit www.ayehu.com and the company blog.  Follow Ayehu on Twitter and LinkedIn.

About the Stevie® Awards
Stevie Awards are conferred in seven programs: the Asia-Pacific Stevie Awards, the German Stevie Awards, The American Business Awards®, The International Business Awards®, the Stevie Awards for Women in Business, the Stevie Awards for Great Employers and the Stevie Awards for Sales & Customer Service. Stevie Awards competitions receive more than 10,000 nominations each year from organizations in more than 70 nations. Honoring organizations of all types and sizes and the people behind them, the Stevies recognize outstanding performances in the workplace worldwide. Learn more about the Stevie Awards at www.StevieAwards.com.

Episode #1: Automation and the Future of Work – Cognizant’s Robert H. Brown


Aug 30, 2018    Episodes

Episode #1: Automation and the Future of Work 

In today’s episode of Ayehu’s podcast we interview Robert H. Brown, AVP, Center for the Future of Work at Cognizant 

Throughout the world, in just about every industry imaginable, automation is eliminating more and more manual labor from processes that traditionally required human activity.  Some sociologists & economists believe this changing reality will ultimately mean far-reaching changes for us as a society (basic income, redefining “full-time” employment, etc.).  Robert H. Brown however, believes this digital transformation will create unprecedented new opportunities for those prepared to adapt.

The Center for the Future of Work is a think tank where Robert & his team study the impact that AI, automation, and other advances will have on the nature of work.  Among the Center’s many videos & publications (see below) is a book entitled “What To Do When Machines Do Everything: How To Get Ahead In A World of AI, Algorithms, Bots, and Big Data”.  Robert shares intriguing insights from this book about the digital transformation now taking place in the corporate environment, and how the future of work will not only be different, but far better.



Guy: Welcome, everyone, to Intelligent Automation Radio. I’m your host, Guy Nadivi. Our guest today for our inaugural podcast of Intelligent Automation Radio is Robert H. Brown from the Center for the Future of Work, which is a Cognizant Technology Solutions think tank. Robert and his team spend a lot of time focused on the intersection of technology, people, and the jobs that are being profoundly impacted by advances in automation and AI. They’re uniquely positioned to provide insight on how businesses and jobs will be evolving in the digital economy.

Guy: With this in mind, and as we enter this brave new era of automation and artificial intelligence, what many are referring to as the 4th industrial revolution, we couldn’t think of a more appropriate guest to inaugurate our Intelligent Automation Radio podcast series with. Robert, welcome to the show.

Robert: Terrific. Thanks, Guy. It’s really good to be with you. Thanks for having me on today.

Guy: Robert, there’s a great quote from a German economist named Rudiger Dornbusch that’s often recycled, and I’m going to recite a common IT-specific version of it here for everyone. “In technology, things take longer to happen than you think they will, and then they happen faster than you thought they could.” This describes exactly what we’re seeing today with automation and AI, which has actually been around for decades, but only in really the last few years has it reached a level of maturity that’s allowed it to have some of the profound impact it’s having.

Guy: That’s affecting everything and just about everyone. What we want to start off talking about today is what will the future of work look like in the enterprise, and what key elements does it entail?

Robert: Yeah, that’s great. That’s a great, great, great place to start. I love your Rudiger quote. There’s variations on that theme from Bill Gates, who talks about we always underestimate the short-term, but overestimate the long-term impact of technology. I think of the Russian revolution. There were summations on that which was there are decades where nothing happens, and then there’s weeks where decades happen. When you boil it down to where we are right now, it’s very clear that the age of algorithms, automation, and AI is with us. The impact that employees are going to feel in terms of the future of work is going to be profound, and right now a lot of the current zeitgeist out in the popular media is it’s going to be an absolute disaster for jobs.

Robert: We are optimists. We think that far from it being a disaster for jobs, we could be looking at a real renaissance of employees being able to harness the power of automation, take away from of the drudgery in specific tasks that they’re doing within their current roles. To be sure, there’s going to be net new jobs that are created as a result of automation, as well. There will be some blood. There will be some pain. It won’t be nearly as dire as some of the prognosticators out there that are bandying around figures like 47% of US jobs will go up in a puff of smoke.

Robert: It’ll probably be somewhere less than 10% of jobs as we know them will go away, but the good news is, like we think about maybe something like a Twitter data wrangler, social media manager 10, 15 years ago, if I had said that would be the most in-demand role of the modern marketing function, you’d look at me like I was crazy. Net new jobs will be created in very technical roles, and there will also be a lot of job creation in jobs that harness the power of algorithms and AI, but at their heart are eminently technical. Excuse me, eminently human in the way that people deal with them.

Robert: There’s a lot to unpack in the big brush canvas that I just painted. We published our book, “What to Do When Machines Do Everything” last year, to a lot of positive acclaim, and a field guide, if you like, for practitioners of clients of Ayehu’s, of Cognizant, what they need to be thinking about as they do this long walk into the future of work, and how to deal with the change management of their strategies, their business processes, their IT processes, and ultimately if you’re an HR practitioner, how do you deal with the people change that has to go into that?

Guy: Yeah, I seem to recall that the CEO of Deutsche Bank said last year that if your job consists mostly of just mechanically moving paper and numbers around, your future career prospects are not very attractive, and your role is likely to get automated. This by the way is not specific to his bank, Deutsche Bank. It’s what he called a sector-wide phenomenon. Interestingly, though, he said they’re always talking internally about “upskilling” people’s jobs. “Upskilling” is a word I think people will be hearing a lot more of going forward.

Guy: What he meant by upskilling was that his employees would be adding more thinking and creativity to their roles because they wanted to increase the number of people facing clients, and reduce the number of people focused internally producing numbers, generating reports, et cetera. He states that their aim is to change what it means to be a banker by pushing more people to use more interpersonal skills, which is something that machines won’t be mastering anytime soon.

Robert: Yeah, that’s right. I think that in fact we tried to quantify that in a piece that we put together about a year and a half ago called “The Work Ahead”. One of the big findings that came out of that is, just to put a number around it, is that you need to be a better human by at least 15%. You may quibble with that and say, “What does that mean?” As a part of that survey, we asked over 2,000 business executives at or near the C suite that by the 2020s, what would be the top skills that they would require in their businesses?

Robert: For every single one of them, and I’ll just get rattling them off from most predominant all the way around the horn; analytical thinking, global operating skills, strategic thinking, leadership, innovation, decision-making, selling, customer care, learning. All of those things, all of those skills are eminently human skills. They’re not rote and repetitive paper-pushing skills, as he talked about. All of those will be in more demand as we go into the 2020s. Not a single one of them is diminishing in terms of requirement. I think to your point, those eminently human skills are going to be much more in demand.

Robert: How do you take away the rote and repetitive drudgery of some of the other things that people do in their jobs and help them double down on what it means to be a better human? Meanwhile in the business that you guys are in, Marc Andreessen has the great phrase that software is eating the world. I think what’s less appreciated as that plays out in the meantime is the impact that the new machines are going to have on the work processes that are at the heart of most big Fortune 500 companies or Fortune 1000 companies. That sort of middle and back office processes.

Robert: You can think about something like the finance department. From the biggest bank all the way down to a small mom and pop chain of pet shops in the greater Los Angeles area, you know that there’s people with skills in those companies that maybe know how to program an Excel macro, and if they have that skill set just being an Excel jockey, what’s to say that there aren’t online courses that might allow them to understand how to parlay those skills into something like Google TensorFlow, one of the biggest online AI platforms that’s out there, and maybe triple their salary as a result.

Robert: I think that’s where we are right now. What are the pathways? What are the change management models to show it may be scary? It may be scary as we enter this brave new world of the age of the algorithm, but how do you take that first step on that journey and start to move out of the way that we’ve always done things into the new way of things that will, again, allow people to offload some of those drudgery tasks and move into things that really help them double down on the skills that they’re great that? Machines are awesome at the science of the job.

Robert: Heavy computation, certainly analytics, next best actions, et cetera, but humans are innately good at what we would call the art of the job. That’s emotion, that’s empathy, it’s visual cues. Even if you think about a role like a lawyer and all the things that a lawyer has to use day in and day out in their job, or even a doctor. Let’s talk about medicine in a moment. I want to talk about what industries are going to be impacted by these changes, but there’s a lot that doctors and lawyers have to do that is inordinately about moving paper around.

Robert: Knowing my fair share of them, those that were able to sunset a lot of the drudgery of the paperwork and get facetime with clients, they would certainly be happier people and better in their roles. I think whether you’re a doctor or lawyer, or professional, or through the bell curve of mid-level management, all the way down to other skills. We can talk about truck drivers in a moment. That’s a big question mark that people have. What’s the impact on the future of work going to be for people that are in transportation? The advent of Uber or the driverless truck?

Robert: There is a whole raft of things that is going to allow people to do better at being better humans as opposed to lock into this mindset of, “I’m going to do this the way that I’ve always done it, including the rote and repetitive stuff.”

Guy: I really like that term, “the art of the job”. That might be a good title for the sequel to “What to Do When Machines Do Everything”.

Robert: That’s right.

Guy: Basically what you’re saying is everything is becoming an algorithm, and you’ve talked about how software is eating the world. I’ve also heard you say software eats process, which I think is a great phrase to describe how the automation platform is becoming the process. You’ve also discussed previously in the other venues that processes have melting points where, once automated, you don’t need as many people working the process. I think a lot of people listening would be very interested to hear from you. What are the major areas of transformation that you’re seeing in the enterprise today where intelligent automation and orchestration are rising as a major business imperative with enterprises around the globe?

Robert: Yeah, great question. It’s funny because people that are probably listening to this podcast are pretty well informed people and paying attention to the headlines. If you’re paying attention to the headlines, you are certainly seeing a world of many, many possibilities when it comes to automation. All of the buzzwords that are out there, whether it’s RPA, or speech to text conversion, or NLP, AI, machine learning, right? All of them point to a similar conclusion, that processes as we know them are increasingly being executed by code in complementary roles to people, and not necessarily replacing people, but in complement to people.

Robert: In fact, the first white paper that I wrote when I came to Cognizant was called the Robot and I, which was a take on, you know the old dystopian book and film I, Robot. The more I looked at what was happening with RPA, it was pretty clear that it was more like a “King and I” scenario, so I chose the goofy title the “Robot and I” to illustrate that this is about people working with machines as opposed to being replaced by them. The list goes on and on. You got world of IoT, I’ve got emotional recognition that’s coming. The way that we think about this at Cognizant, to get to the heart of your question, which is major areas of transformation, we think it’s a continuum that moves from systems that do to systems that think, and then to systems that learn.

Robert: You can think about systems that do being things like script-based RPA. We’re just replicating the repetitive human actions that are basically, the mission there is to make the swivel chair process obsolete. I think a lot of people, again, thinking about middle and back office processes of their companies, they see them everywhere. It’s the people that are looking at two, three, four multiple screens, and literally bridging that last mile of data integration across a variety of systems. The big irony of ERP was it was about connecting islands of information.

Robert: Here we are 25 years down the road, and people, humans are effectively having to be a robot to bridge that last mile. That’s just the systems that do piece. In fact, Leslie Wilcox is a professor at London School of Economics who wrote a wonderful book on automation with Mary Lacity from the University of Missouri. Wilcox has a great quote which says, “It’s time to take the robot out of the human.” I couldn’t agree with that sentiment even more. Again, in this world of algorithms and AI, progressively companies are thinking about systems that think, systems that learn. I think pretty quickly, we’re going to get to an advanced automation world of systems that adapt, particularly when we think about natural language processing.

Robert: Across that whole spectrum of systems that do, think, and learn, it’s pretty apparent that you can slot in lots of different business processes, whether from a systems that do perspective, things like claims processing, or account payable and receivable. We talked about FNA a moment ago. Data consolidation or validation. Then as you move up the path to systems that think and learn where you’re looking at customer service support, or how do you optimize a retail engagement system, or virtual service agent? Make no mistake, the business that you guys are in, in IT, IT is a process that has a wonderful distinction of being the one function in any business that cuts horizontally across all of the silos.

Robert: If you’re looking at troubleshooting and triaging incidents, or using automation to do auto response to tickets, or run SQL queries and reports, those kinds of things, IT is in the cat bird seat to make these changes towards greater digitization of the business possible. The way you boil that down on a bumper sticker is a lot of companies talk about doing digital at the margins, and the big challenge for a lot of them in a world of melting points and Uber and Amazon and Facebook and all the rest is how do we move from doing digital to being digital?

Robert: That is the $64,000 strategic question over the next three to five years for any business. Guy: In that do-think-learn-adapt cycle, all of which you’re saying is primarily going to augment humans on the art of the job, how would you say that enterprises can best leverage AI and machine learning to maintain a competitive advantage in this rapidly-changing landscape? What are some of the impacts that you’re seeing today along those lines? Robert: I think the way to think about this is really a world of systems of intelligence. Again, we talk about that spectrum of systems that do, think, and learn. I’m an old Gartner analyst. I was an analyst for many, many years, head of business process services research at Gartner. They coined the term “systems of record”. All of your backend ERP systems. Even things like Salesforce, Workday, Oracle. Systems of record then gave way to “systems of engagement”. That’s your Facebook, your Twitters, Instagrams, and so forth. Now we’re making pretty rapidly into “systems of intelligence”.

Robert: That might be something like GE’s Predix platform, or things like what McGraw-Hill is doing with their ALEKS platform. Palantir would be a good example. At Cognizant, we have our BigDecisions platform for big data analysis. All of that movement from systems of record, engagement, intelligence, it nicely correlates to systems that do, think, and learn. I think on the point of how can enterprises best leverage these technologies to maintain competitive advantage is to realize that they need to get going. It is a spectrum. Companies need to take the first plunge into that pool of a more progressively automated world.

Robert: A lot of people that are going to be listening to this podcast, I’m sure all of them having gotten the memo on RPA software, are probably running pilots, maybe doing full production around that. It’s a great place to start, just from a simple rote and repetitive systems that do perspective. Now, I’m seeing use cases in every industry out there where companies are rethinking the art of the possible. I was at an event last week where a very large bank in Asia Pacific was doing reverse engineering.

Robert: For all of their customers that rated their service a 7 out of 7 on the net promoter score scale, looking at all the ones that come out as a 7, and using automation and AI to trace those customers’ steps on their journey through their customer interaction systems and say, “Okay, if the bell curve of a 7 customer generally looks like a journey like this, how do we take the remainder, and look at our processes, and engineer them to flow through these types of approaches as a best practice?” I think that’s a really cool example.

Robert: Again, if we think about processes that are melting, how do you use AI and automation as a Bunsen burner to turn up the flame and realize there may be things that we are doing simply because since the merger and acquisition five, seven years ago, we just haven’t had time to think of a better way. There’s opportunities all over the organization. Another way to think about this is like Pac-Man, chewing through all the dots on a Pac-Man screen. You can use the low-hanging fruit of RPA systems to cut through all that fat in the back end of the business, and then use those cost savings which are pretty substantial to double down on true digital transformation within the enterprise.

Robert: There may be some processes that just have to be eliminated or rethought entirely. That’s to your point where we talk about the platform becoming the process and rethinking the way that that work is done. That’s where the Center for the Future of Work comes into the frame. If you rethink the work, you rethink the work process, you rethink the business process. If you rethink the business process, you can rethink the strategy for the firm. I’ll give you a couple of other examples. We really start to take this out to systems that learn and adapt. There is some amazing groundbreaking work that’s going on in the healthcare sector that Google research has been on the forefront of where they can spot tumors in prostate cancer patients at a fractal level of early detection.

Robert: Far beyond the best radiologist ever being able to spot those things with the naked eye. My father-in-law is an oncologist. They’ve been using some of the same five-layer testing procedures going back to the early ’60s, and now with this breakthrough in what’s happening with some of the things that Google has been on top of, if your dad or my dad may be sick with prostate cancer, choose the approach that you want. I would want my money on some of those early detection things through AI every day and twice on Sunday. We may get to a point in the not-too-distant future where a radiologist or an oncologist that isn’t using these tools could be guilty of malpractice.

Robert: Another great one, again, I’ll stay close to the medical field, just because it’s really … You think about people being sick and healing people, it’s work that matters, for sure. Apparently the number one burnout factors for doctors is paperwork. We talked about this a little bit a while ago. Through the advent of things like augmented reality, in fact there is a startup here in San Francisco called AUGMEDIX, which uses Google Glass in conjunction with a natural language processing engine so that the nurse or doctor can be in the examination room with a patient talking to them. “Guy, how do you feel today? What’s going on with you? Et cetera.”

Robert: All of that data is being positioned into the electronic medical records through an NLP engine. All the doctor has to do on the back end of that is just take a quick look at it, make sure that all the fields have populated correctly, and then press enter. We talk about electronic medical records being a breakthrough a decade ago. In fact, they weren’t, because they substituted a tablet for a piece of paper, but it did not fundamentally change the work. If you’re looking at systems like this, which is allowing a doctor with a great bedside manner to have more in-theater time with the patient, talk about the patient, what’s happening.

Robert: Again, we go back to the art of the job and the science of the job. That is eminently where doctors want to be focusing their attention and their energies. Not the paperwork. I think that’s another good example of where we’re seeing some of these impacts today from a future of work perspective. Then in playing the long game. Funny thing about the future of work is it’s always in the future. Starting tomorrow, next year, three years, five years, ten years. I’ll do a shameless plug for one of our most recent reports, which actually did try to forecast ten years into the future. It’s called “21 Jobs of the Future”. When we wrote “What to Do When Machines Do Everything”, people loved the book.

Robert: They said, “Look, you guys say there’s going to be all these jobs in the future. What exactly are they?” 21 Jobs of the Future attempts to break that down and give a peek into what we may be seeing. Again, low-tech jobs and high-tech jobs that are going to precipitate from these changes. It’s funny. Since we wrote that around December time frame, the more I scan the wires and talk to people that are out there in the industry, it’s interesting. It’s like, “Wow, I spotted one in the wild. This isn’t too fanciful.” These jobs actually are starting to come to fruition, so that’s pretty exciting, too. Guy: Yeah. You’ve talked about you and your team about all the net new jobs that will be created. There are going to be some that are going to be lost, and then there are going to be a whole bunch of new ones created, and the net result will be more jobs, which is something that when the scary numbers are touted by analysts, they never mention about the new jobs that don’t exist now. Tell us and the audience – what are the top 3 most interesting new jobs of the future that don’t exist now? Robert: Pick three, just distilling it down to the top three. I’ve done a lot of research the last year, year and a half on augmented reality and virtual reality, and actually done a lot of thinking about how you would apply those technologies to rethinking a business process from start to stop, particularly ones that involve people moving through time and space. One of the ones I’m really excited about is what we’ve called the AR Journey Builder, the Augmented Reality Journey Builder. You can imagine for any customer-facing process of people moving through time and space, there’s going to be a legion of people that are going to need to team together and build out, curate, and/or suggest next steps, et cetera that are highly, highly personalized to those individuals.

Robert: That’s really where the role of the AR Journey Builder is going to step into the frame. There’s a lot of buildout that needs to make that happen. There’s going to be people that are going to need to instrument the physical world with points of presence, geolocation mapping technology. There’s going to need to be people that think about setting, mood, information, tone, characters, suggested things or experiences that people are going to want to buy. There’s a cinematic element to it, too. You could imagine, say you’re sitting in your morning commute. Let’s say you are a fan of Game of Thrones or Star Wars or Harry Potter. Jane Austen period immersions.

Robert: Imagine then being able through the work of something, maybe like a Pandora for AR type of platform, AR Journey Builders would swarm into that and create and put that type of content out. You’re already starting to see that with what’s happening with the gaming community, which is really on the vanguard of how media and entertainment is changing very, very quickly. To boil it down, you think about AR Journey Builders. The way we thought about it is they would be the 21st century successors to brick layers and playwrights and composers of a century ago.

Robert: Experience composers, or data overlayers, or CX rights, or UX rights. I’ve been doing a lot … That’s one. Rattle off a couple others really quickly. I’ve also been doing a lot of research recently in the wake of Cambridge Analytica, the #DeleteFacebook movement, all of the concerns about privacy that’s been going on, and what companies need to think about moving into the future. Another job that we’re really excited about is the Chief Trust Officer. GDPR legislation makes the role of a data protection officer now mandatory for companies of a certain size. The way that we’ve thought about a Chief Trust Officer role is a higher level.

Robert: It’s somebody that’s at the C-suite of the company who, yes, data protection and privacy are absolutely essential fuel in the gas tank of making trust work, but this is absolutely focused on preserving the trust of the firm. I think you’re going to see a lot more focus on that moving forward in the future. Then maybe just to give an example of a job that is low-tech, but we’re going to see a lot of need for with the aging of the population, we have a job that is called a Walker-Talker. The idea of a Walker-Talker is you can imagine an AI platform that allows continuity of care for seniors. A lot of seniors are reclusive. They’re shut into their houses or their nursing homes all day, every day.

Robert: For those that have the fortune of still being in their own homes, sometimes if they journey out to the post box to get their mail, that might be the only time they ever actually interact with a human if they’re widowed or a widower. The idea of a Walker-Talker, it’s like if you’ve heard of visiting angels, that may be a good example that we have today. This is more about somebody who’s job isn’t to just check in on the elderly, but to actually engage them. Talking to them. Again, AI platform might have a suggestive listening agent where there’s, again, continuity of care. Maybe another agent was with the individual a couple of days ago.

Robert: What do they talk about? What subjects was the individual keen to discuss? Providing that continuity of care. You can even imagine that that platform giving suggested prompts to help the Walker-Talker really engage that individual. Then on the walking part, for people that are ambulatory, maybe they’ve got a pet. It’s just a matter of getting with that person, and walking around the block with them, and talking all the while. In fact, the way that we thought about the job and the role as the ratio here is, it’s 10-parts listening and 1-part talking. For all of us that have aging parents, and maybe aren’t living in the same area, certainly the same house as them in the future, you can see a real need for these types of skills.

Robert: Again, it’s a skill set that is eminently based on the art of the job and what humans bring to the equation.

Guy: Wow. Amazing. AR Journey Builder, Chief Trust Officer, Walker-Talker. As the Chinese say, may you live in interesting times.

Robert: That’s right. Let’s see. If I do my math right, there’s 18 more in the report. Yeah, people should check it out. Also, just again, maybe watch the wires. We’re working on “21 More Jobs of the Future” later on this year, so stay tuned.

Guy: Amazing, amazing. It’s just proof that progress is an unstoppable locomotive train. Its forward motion is relentless, regardless of whatever temporary delays might side-track it along the way. I would say to our audience you want to be on that train, not watching it pull away as it leaves your station. I would argue that when it comes to the unrelenting progress being made today by the automation and AI train, one of the best classes of seats, the business class seats if you will, is occupied by the people bringing in the automation to their organizations.

Guy: The people doing the automating have a far better chance of a long and prosperous journey on that train than the ones resisting automation, who will likely be automated our or possibly automated out or asked by the conductor to get off at the next stop, so to speak. My advice for today’s listeners, those pondering what’s the best way to play the automation and AI wave career-wise, become an automation expert. Take your seat for what’s going to be one of the great rides of the early 21st century. All right, well, it looks like that’s all the time we have for today. Robert, I have really enjoyed speaking with you and would very much like for you to join us again down the road.

Robert: Great. Thanks so much, Guy. I really appreciate the time. Thanks so much for having me.

Guy: Robert H. Brown from the Center for the Future of Work, a Cognizant Technology Solutions think tank. Thank you for listening, everyone, and remember – don’t hesitate, automate.



Robert H. Brown

AVP, Center for the Future of Work at Cognizant Technology Solutions

Robert Hoyle Brown is an Associate Vice-President in Cognizant’s Center for the Future of Work. Since joining Cognizant in 2014, he has specialized on the topics of robotics, automation and augmented reality and their impact on business processes. He has worked extensively with the Cognizant Digital Operations practice as head of market strategy, and also with Cognizant’s Accelerator leadership to drive the development of its intelligent automation strategy, messaging and go-to-market outreach. Prior to joining Cognizant, he was Managing Vice-President of the Business and Applications Services team at Gartner, and as a research analyst, he was a recognized subject matter expert in BPO. He also held roles at Hewlett-Packard and G2 Research, a boutique outsourcing research firm in Silicon Valley. He holds a bachelor’s degree from the University of California at Berkeley and, prior to his graduation, attended the London School of Economics as a Hansard Scholar.

Robert can be found at:

E-Mail:               Robert.H.Brown@cognizant.com

Twitter:             @robthbrow

LinkedIn:          https://www.linkedin.com/in/robthbrown/

Quotes

How do you take away the rote and repetitive drudgery of some of the other things that people do in their jobs and help them double down on what it means to be a better human?

There is a whole raft of things that is going to allow people to do better at being better humans as opposed to lock into this mindset of, "I'm going to do this the way that I've always done it, including the rote and repetitive stuff."

If you're paying attention to the headlines, you are certainly seeing a world of many, many possibilities when it comes to automation. All of the buzzwords that are out there, whether it's RPA, or speech to text conversion, or NLP, AI, machine learning, right? All of them point to a similar conclusion, that processes as we know them are increasingly being executed by code in complementary roles to people, and not necessarily replacing people, but in complement to people.

Again, if we think about processes that are melting, how do you use AI and automation as a Bunsen burner to turn up the flame and realize there may be things that we are doing simply because since the merger and acquisition five, seven years ago, we just haven't had time to think of a better way. There's opportunities all over the organization. Another way to think about this is like Pac-Man, chewing through all the dots on a Pac-Man screen. You can use the low-hanging fruit of RPA systems to cut through all that fat in the back end of the business, and then use those cost savings which are pretty substantial to double down on true digital transformation within the enterprise.

If you rethink the work, you rethink the work process, you rethink the business process. If you rethink the business process, you can rethink the strategy for the firm.

Funny thing about the future of work is it's always in the future. Starting tomorrow, next year, three years, five years, ten years. 

They said, "Look, you guys say there's going to be all these jobs in the future. What exactly are they?" 21 Jobs of the Future attempts to break that down and give a peek into what we may be seeing.

About Ayehu

Ayehu’s IT automation and orchestration platform powered by AI is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by hundreds of major enterprises and leading technology solution and service partners, Ayehu supports thousands of automated processes across the globe.

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5 Ways Intelligent Automation Can Help You Dominate Your Industry

5 Ways Intelligent Automation Can Help You Dominate Your IndustryAccording to a recent report from Forrester Research, organizations that embrace automation won’t just succeed. They will absolutely dominate their respective industries. Once a relatively futuristic concept, these days just about every business benefits from automation in some way. Ever set or receive an out-of-office reply? That’s automation – albeit in its simplest form.

Many companies, however, have taken automation several steps further by offering self-service options, adopting chatbot technology and using other forms of next generation artificial intelligence (AI). The exciting news is that the true potential of intelligent automation has yet to be realized. And those businesses that jump onboard today will inevitably be at the forefront on innovation tomorrow.

Here are five ways intelligent automation can help develop a savvy, innovative and more agile organization.

Boost productivity, employee morale and retention.

Intelligent automation isn’t designed to eliminate humans from the workplace. Rather, its purpose is to augment their capabilities. When the tedious, repetitive and mundane components of day-to-day work are shifted from human to machine, productivity naturally rises. Meanwhile, employees are freed up to perform more creative and meaningful work. And when people can spend their time on the aspects of their jobs that are interesting and rewarding, satisfaction and retention levels also go up.

Streamline inefficient business processes.

Nothing kills a company’s chance of growth quite like inefficiency. Wasted time equates to wasted money and – more importantly – missed opportunities. Businesses that are overwhelmed by chaotic, disorganized processes and workflows can turn things around with intelligent automation. Instead of spending hours manually keeping track of work that needs to be done (and backtracking to fix things that inevitably go wrong), employees can apply their critical thinking skills to more important key initiatives, such as utilizing data to develop more advanced business strategies.

Increase visibility.

Organizations with business leaders that know precisely where they stand in terms of project status updates and budgets are in a much better position to succeed than those with management that’s constantly feeling around in the dark. That’s another area where intelligent automation can help. When reporting is made easy and incredibly accurate, upper management can enjoy much greater visibility into what’s going on at any given moment. Furthermore, with machine learning capabilities, leaders can get high-level, data-driven decision support to help them guide the organization in the right direction.

Enhance customer experience.

When employees no longer have to spend their time performing manual tasks and workflows, they can devote more of their effort to the needs of customers. And in today’s digital age, service has become the true differentiator. Thanks to intelligent automation, companies can shift their resources from fielding requests to developing creative solutions to address unresolved issues. This enables companies to deliver even better service to their customers, solidifying their position as trusted industry leaders.

Drive faster, more sustainable growth.

When it comes to scaling an enterprise, intelligent automation can be the solution – not only to achieving the set objectives, but doing so faster. As soon as a company determines new ways of working that deliver better results, they can then automate those things. This causes a sort of snowball effect, driving exponential growth that is sustainable for the long-term. While other businesses are simply getting by, those that are leveraging automation will be leaps and bounds ahead.

Curious about how intelligent automation can help your organization? Check out our free eBook below, or take Ayehu for a test drive to experience the power of next generation, AI-powered automation today!

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5 Tangible Benefits Intelligent Process Automation Brings to the Table

5 Tangible Benefits Intelligent Process Automation Brings to the TableIn terms of disruptive technology, intelligent process automation has gained tremendous ground. In fact, according to Statista, more than half of business leaders today say they expect to implement automation in the coming years. And for good reason. While technologies like traditional workload automation, cloud computing and Software-as-a-Service (SaaS) reduce costs and provide the flexibility to perform routine tasks and workflows, artificial intelligence (AI) brings these benefits to a whole new level with the capability of performing tasks that normally require human intelligence.

Intelligent process automation software enables businesses to perform much more diverse and complex activities without the need for human intervention. Furthermore, thanks to machine learning algorithms, this type of platform is capable of learning and improving entirely on its own based on data from past experience. Artificial intelligence can also provide valuable insight and decision support for management. But how does all of this translate into actual, tangible return on investment? Let’s take a look.

Time and Money Savings

When a good portion of business processes are shifted from human to machine, the operation runs far more efficiently. Work is performed faster and more accurately, which equates to greater productivity and higher service levels. Fewer man hours results in tremendous savings for the organization. (In one recent case study, one global enterprise slashed man hours by 1,500 in less than a year simply by adopting intelligent process automation. That reduction resulted in an overall savings of nearly $500k.)

Competitive Advantage

Staying a step ahead of the competition is the key to success – especially in today’s global marketplace. Every company is chasing digital transformation and hoping to claim their spot at the head of the pack in their respective industry. The use of intelligent process automation can facilitate this transformation, not only be streamlining processes, but by empowering human workers.

When the mundane tasks and workflows no longer require human input, employees are able to apply their skills, time and effort toward more important business initiatives. The freedom to be creative breeds innovation which can provide the competitive advantage companies are striving for.

Agility

The ebb and flow of business has long been a challenge for organizational leaders. Scaling up as needed based on sudden changes in market demand is not only difficult, but it’s also quite costly. Conversely, in situations when finances are lean, such as during economic recessions, the ability to maintain an expected level of production on a limited budget is incredibly problematic.

The deployment of intelligent process automation resolves both of these issues by enabling businesses to scale up or down at a moment’s notice. Seasonal or other business influxes can be met seamlessly thanks to the ability of software robots to take on some of the workload. And when it comes time to tighten the belt, automation can help skeleton crews operate as if they were fully staffed. Every business leader understands the importance of agility like this.

Reduced Downtime

Another way intelligent process automation can deliver tangible benefits to a company is through improved system operability. According to Gartner, the average cost of IT downtime is $5,600 per minute. Due to variations in how businesses operate, Gartner analyst Andrew Lerner estimates that on the low end, downtime can cost as much as $140k per hour, while at the high end, can run upwards of $540k per hour.

Regardless of which end of the spectrum a business happens to fall on, system outages can be, without question, downright disastrous. Enter intelligent process automation and suddenly there’s an army of robots monitoring the infrastructure 24 hours a day, 7 days a week, 365 days a year. Furthermore, artificial intelligence is capable of identifying threats that could take days, weeks or longer for humans to spot. When incidents can be pinpointed quickly and the platform itself is capable of addressing and remediating those issues, downtime can be dramatically reduced and, in many cases, prevented altogether.

Decision Support

Because intelligent process automation is powered by AI and machine learning, it is inherently capable of analyzing massive amounts of data and extracting value. Furthermore, AI-powered automation can then turn that data into actionable insights that can be utilized by business leaders to make better decisions.

Incorporating advanced business automation technology into the mix enables the analysis of overall organizational performance. With these intelligent analytics, business leaders can more effectively identify and implement the right approaches to achieve improved performance over the long-term.

Could your organization benefit from any of the above? If so, adopting intelligent process automation should be on your list of priorities. Get a jump start by taking Ayehu for a test drive today.

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