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Making the Case for Artificial Intelligence in Your Organization

Recent statistics published in Forbes revealed that while 82% of IT and business decision makers agree that company-wide strategies to invest in AI-driven technologies would offer significant competitive advantages, only 29% said their companies have those strategies in place.

Why such a big divide? In many situations, it’s a simple lack of buy-in. In fact, Forbes Insights research also revealed that while 45% of IT stakeholders express “extreme urgency” regarding the application of AI within their organizations, only 29% see that same sense of urgency among their C-suite. Among the board of directors, that percentage drops down to just 10%.

Leaders who want to reap these benefits and advance AI within their organizations must overcome these odds by making a strong, solid business case around how artificial intelligence will deliver in terms of business benefits, such as operational efficiency, competitive advantage and revenue growth. Here are a few recommendations on how to accomplish this goal.

Illustrate success through real-life case studies.

There’s nothing more powerfully persuasive than a real-life story. C-suite executives and board members don’t want to hear about hypotheticals. They want to see numbers – quantifiable proof of ROI – before they’ll be willing to sign on the dotted line and invest in AI. After all, it’s pretty hard to argue against benefits like lowered costs, improved service levels and other key business advantages.

Demonstrate AI’s decision-making support.

One of the hardest parts of an executive’s job is making critical business decisions. If you can show them how artificial intelligence can address and resolve this major pain point, you’ll make believers out of even the biggest skeptics. Simply put, AI provides the ability to digest, process and analyze data to unlock invaluable insight and boosting confidence through data-driven decision support.

Position AI as the cornerstone to successful digital transformation.

These days, everybody’s talking about digital transformation. In fact, it’s widely believed that moving to digital operations and offering digital services will be absolutely essential in order to remain competitive in the modern economy. If you can position AI as the catalyst for making this happen, you’ll get emphatic yesses across the board. And since analytics is the core to what drives digital experiences, the connection to AI shouldn’t be too difficult.

Link AI with the power to innovate.

40% of IT leaders list driving innovation and implementing new tech as one of their top concerns. In today’s rapidly changing landscape, staying in-step is no longer enough. To remain competitive and achieve sustainable success, organizations must find a way to stay a few steps ahead. Easier said than done? Not when you have artificial intelligence in your corner. AI offers business leaders the opportunity to garner engagement from all levels of the organization, creating a truly collaborative environment where ideation and innovation thrive.

Reinforce the power of AI for optimizing client experience.

In business, you’re only successful if your customers are happy. Leveraging machine learning and artificial intelligence can help businesses to become far more responsive to their clients, ultimately delivering a better experience overall. And it’s a win-win, because not only do customers receive a higher level of service, but because AI frees up employees to focus more on high-value initiatives, the organization benefits from greater productivity. Happier clients + more efficiency = a better bottom line.  

It’s important to point out that AI, just as with any technology, shouldn’t just be implemented for the sake of it. It should be leveraged because it’s the best and most effective solution to a specific business problem or opportunity. When presenting your case, be sure to tie the technology and its capabilities directly to these problems and/or opportunities, and demonstrate exactly who will benefit and how. This will make your case far more compelling and improve your chances of success.

Want to really wow those key decision-makers? Download your free trial of Ayehu, and you’ll have a full 30 days to create a use case of your own that will demonstrate quantifiable ROI within your own organization. Click here to get started!

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3 Ways Virtual Assistants are Transforming the Service Desk

A few years ago, the chatbot phenomenon swept the consumer world. Today, people are becoming more and more at ease using conversational AI and virtual assistants to do everything from set their doctor appointments to planning travel. Yet, despite this consumer-driven craze, one area that seems to have been left largely in the dark is the IT help desk. Surprisingly (and frustratingly) enough, for many organizations, even something as basic as requesting more storage and resetting your password still requires opening and waiting for a ticket to be serviced.

The truth is, what once began as an innovative service to help employees has somehow evolved into more of a costly distraction. Budget-conscious executives have come to view the IT service desk, not as a core component of the business, but as an expensive necessity. As such, the help desk has long been the target of cost-cutting reductions. Yet, despite these efforts, one recent report indicates that the expenses surrounding service desks are actually on the rise. Today, a typical help desk is massively overloaded and majorly underfunded.

Enter the virtual assistant. Unlike the many other “solutions” CIOs tried in the past, chatbot technology has the potential to dramatically disrupt and ultimately transform the modern service desk in a way that is both positive and sustainable. This will happen in three distinct ways, as follows.

Automating the humdrum.

According to Gartner, password resets account for 40% of all service desk requests. In this way, help desk support agents can feel like mere robots, repeatedly responding to the same requests over and over (and over) again. Why not transition these mundane, repetitive tasks to actual robots? AI-driven virtual assistants can handle everything from simple tasks to complex workflows. This frees up human agents to focus on higher-level initiatives.

The best part? Chatbots are available 24 hours a day, 7 days a week, 365 days a year. They work weekends and holidays and they don’t require overtime. This means not only can you offer round-the-clock support, but scaling to higher volumes will not require an increase in headcount. The tremendous value this promises has led many large, global enterprises to begin deploying virtual assistants.

Removing the human from intuitive tasks.

Under normal circumstances, a typical service order can take more than a full business day to resolve. This process generally includes several interactions between support analysts and often requires escalation to subject matter experts. Next generation chatbot technology is now capable of using historical interactions – such as voice transcripts, prior transactions and other preexisting data – to learn, engage, suggest and recommend resolutions. Even complex troubleshooting can be handled almost, if not entirely by virtual assistants.

Revamping the user experience.

The IT industry has spent a fortune in an attempt to improve employee self-service. Yesterday’s setup was centered on the creation and maintenance of an institutional knowledge base where users could log in and search for answers to their questions in lieu of opening a help desk ticket. The results of these queries were often mixed. Today, thanks to advances in artificial intelligence technology, a user can type, text or even speak their question and a virtual assistant can engage in a meaningful exchange to resolve the issue.

Despite getting off to a markedly slow start, large enterprises around the globe are beginning to recognize the value that conversational AI brings to the table. As such, we are seeing a rapidly growing number of organizations “hiring” virtual assistants to help transform their service desks into the highly effective, cost-efficient and innovative business benefits they’ve always dreamed of being.

Get started with virtual assistant technology and see how it can revolutionize your help desk by downloading your free 30 day trial of Ayehu today.

3 Ways AI is Revolutionizing ITOps

It’s hard to imagine that while just a short time ago, people were asking what AI was all about and whether it was something worth investing in, yet pretty soon we’ll be asking how we ever lived without it. Artificial intelligence and machine learning have radically improved the lives of many, in particular, IT managers, enabling them to optimize their precious time and add legitimate value to their organizations. Here are three specific ways AI is redefining the role of ITOps.

Reduction/Elimination of Time-Consuming Tasks

Each and every day, IT managers are burdened with tasks. Some of those tasks are complex, tedious and mission-critical. Others are menial, mundane and time-consuming – administrative tasks, such as scheduling, setting deadlines and alerts, establishing priorities, directing daily operations, coordinating project activity, managing and analyzing workflow…the list goes on (and on, and on).

Here’s where AI is already making a remarkable impact on the lives of ITOps managers. By shifting most or all of these time-sapping administrative issues to intelligent automation, these leaders are freed up to allocate their skills and expertise to what’s most important. AI is particularly beneficial in terms of managing any process that is repeatable, such as preparing reports (and we all know how much IT managers adore reporting). Many organizations worldwide are already taking advantage of AI’s quantitative data analysis capability to generate analytical reports.

Increased Knowledge/Skill/Judgment Work

Only an IT manager would understand how a so-called promotion can actually be more of a headache and disappointment. Think about it. You’re awesome at what you do – ITOps work – so you get moved up the ladder, into a role that is filled with endless administrative tasks (as mentioned above). Feels more like a demotion than anything else. Many IT managers in this position would much rather be focusing their time, energy and expertise on things like:

  • Developing standards and best practices
  • Overseeing complex workflows
  • Identifying duplication and waste, quantifying outcomes and providing analysis
  • Coordinating and managing operational budgets and initiatives
  • Analyzing data
  • Developing departmental and interdepartmental goals
  • Evaluating proposals to determine requirements and feasibility
  • Consulting with users, stakeholders, technicians and vendors to determine needs and requirements

Artificial intelligence has gifted IT managers with the ability to perform more of the knowledge, skill and judgment work that they love, not only because it frees up time, but because the technology is inherently designed to support enhanced decision-making within ITOps (and beyond). That’s not to imply that human expertise and insight will be replaced by AI. To the contrary, cognitive skills and critical thinking will become even more prevalent because IT managers will have more time.

More Room for Creativity

The flood of demanding day-to-day tasks that ITOps manager face leaves little to no room for the creative thinking that is necessary to drive innovation. Some of the areas where these leaders can add value include brainstorming to improve future IT initiatives, strategizing on organizational goals and objectives, keeping up with tech developments, acting as champion for the IT department, just to name a few.

Integration of artificial intelligence is facilitating more creative thinking by enabling better experimentation and collaboration. When IT managers are able to spend more time strategizing, the human element of creativity will flourish for the betterment of ITOps and the organization as a whole. What’s more, IT managers will be able to take on more advisory roles thanks to AI’s presence. The ability to hone social skills will continue to open up new and exciting opportunities.

Conclusion

ITOps managers across the globe are already experiencing drastic changes with the growing adoption of AI technology. The relief from administrative tasks alone have made it well worth the investment, with the promise of even more widespread benefits that will change the scope of everyday life for the better.  

Want to experience some of these incredible, life-changing benefits for yourself? Give Ayehu a try completely free for 30 full days. Click here to start your free trial today!

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5 Things Driving AIOps

Thanks to the forces of digital transformation, IT operations is undergoing some pretty significant changes. Traditional IT management techniques are becoming obsolete and an entire restructuring of our IT ecosystems is underway. In response, IT operations leaders are using artificial intelligence to help them do their work better, faster and cheaper. Gartner has coined a term for this fundamental shift. It’s known as Artificial Intelligence for IT Operations, or AIOps for short.

AIOps addresses the challenges of speed, scale and complexity that IT leaders are facing in the wake of digital transformation. Here are five specific factors that are driving forces behind AIOps.

Manual Infrastructure Management – Today’s IT environments are a mishmash of SaaS integrations, third party services, mobile, managed and unmanaged cloud and more. Traditional infrastructure management approaches, like manual tracking and oversight, are simply not adequate in these dynamic, ever-changing environments.  

Increase in Data Retention Requirements – The volume of events and alerts being generated through performance monitoring is growing at an exponential rate. Furthermore, the growing number of APIs, IOT devices, mobile applications and digital and/or machine users is driving service ticket volumes through the roof. This has made manual analysis and reporting far too complex and cumbersome.

Demand for Faster Response Time – The more enterprises digitize their business, the more quickly infrastructure problems must be addressed. User expectations have evolved thanks to the consumerization of technology, which is driving the demand for faster reactions to IT events (whether actual or perceived). This is compounded when the issue in question affects user experience.

More/Expanding Computing Power – Given how easy it has become to adopt cloud infrastructure and third party services has empowered individual lines of business (LOB) to develop their own IT applications and solutions. As a result, both budget and control have moved from the center of IT to the very edges of the network, driving the rollout of more computing power.

Influence and Power of Developers – In modern DevOps, programmers are taking more responsibility for monitoring at the application level, however, responsibility for the interaction between services, applications and infrastructure, as well as accountability for the overall health and function of the IT ecosystem still lies at the feet of core IT. As digital businesses are becoming more complex, IT Ops is taking on more responsibility.

Digital transformation is something organizations in every industry and across the entire globe are striving for. AIOps could very well hold the key to success. Power your AIOps with the right solution. Click here to download your free 30-day trial of Ayehu today.

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ITSM Automation Explained

IT Service Management is the lifeblood of an organization. But if the people, processes and technology that are in place aren’t adequately optimized, the very function of ITSM simply cannot add value. Automation can pull all of this together and streamline operations for maximum efficiency and service levels. But what, exactly, is ITSM automation? More importantly, what can it do for your business? Let’s take a look.

There are several different levels of ITSM automation, each offering a certain degree of functionality. The most basic form of automation used in the context of IT service management is that of ticketing workflow. This involves automating the following tasks:

  • Opening tickets based on the service catalog
  • Updating ticket SLA based on priority
  • Setting ticket attributes based on category
  • Initiating ticketing status workflow

The next level of ITSM automation is capable of repeatedly opening tickets based on a particular schedule. For instance, the IT team can schedule weekly or monthly maintenance workflows for network equipment.

Beyond this is advanced ITSM automation, which is intelligent and intuitive and subsequently adds the most value. With this type of AI-powered automation, tickets can be moved from creation all the way through resolution without the need for any human intervention. A sample workflow using this type of automation might be as follows:

  • Monitoring software detects low disk space on a specific server
  • Monitoring software opens a ticket in the ITSM automation platform
  • The automation platform automatically assesses the ticket request and categorizes it accordingly
  • ITSM platform initiates the automated workflow for disk space remediation (i.e. deleting temp or large files that are no longer needed)
  • Upon completion of the designated workflow and a follow-up disk space analysis, the ITSM platform automatically updates the ticket and marks it as resolved

Of course, this is just one example of the myriad of tasks, workflows and processes that can be fully automated. Perhaps the most important takeaway here is that an advanced ITSM automation platform can dramatically streamline the way IT operates, shifting most or all of the system administration tasks from human to machine. And because the automated processes are recorded, management can review these events to determine if there are areas where further improvement can and should be made.

Not only does ITSM automation save the enterprise a significant amount of money in terms of operating costs, but it also frees up service desk agents to focus their efforts on more mission-critical tasks and projects, such as those pertaining to increasing customer satisfaction rates.

In seeing the functionality and benefits of ITSM automation, the question then becomes not if an organization should adopt this technology, but how soon can they do so.

Take our ITSM automation platform for a test drive today and experience it for yourself free for 30 days!

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7 Key Business Benefits of Intelligent Automation

Intelligent automation is being adopted and implemented in businesses of every industry. Still, there are some decision makers who are on the fence about whether it’s worth the investment. If you are among those who aren’t 100% certain, let’s take a look at a few of the quantifiable benefits AI-powered automation can provide to your organization.

Cost Savings

One of the biggest advantages of intelligent automation is the immediate and significant reduction in expenditure it can deliver. When work is automated, not only is it completed faster, but it also can be performed round-the-clock at a much lower rate. So, you get greater output for less, which results in a better bottom line.

Quality, Accurate Work

Let’s face it. Even the most careful human can and will make an occasional mistake. Multiply those errors by the number of people you have performing routine tasks for your company, and you could be looking at a pretty costly problem. With artificial intelligence, the work is performed error-free. Better quality means higher satisfaction rates, which – again – is good for your company’s profitability.

Enhanced Cycle Time

How long does it take a human worker to perform a given task such as completing a web form? Even if it’s mere minutes, an intelligent robot could shave that time down to just a few seconds. Over time and multiplied by dozens of tasks and several staff members, this savings really begins to add up.

Employee Empowerment

Intelligent automation does not require any special technical skills. That’s why it’s an ideal application for the end-user. The ability to deploy robots to perform certain tasks without having to enlist the help of someone from IT empowers the end-user to get their jobs done more efficiently and effectively. Meanwhile, it frees up IT to focus on more important tasks and projects.

Simplicity and Flexibility

Automating tasks and workflows through Ayehu’s AI-powered automation does not require coding or script-writing. That means even complex processes can be transferred from human to machine with little effort. The faster these tasks and workflows can be automated, the sooner your organization will begin reaping the benefits. In other words, intelligent automation delivers quick returns.

Better Control

Many companies choose to outsource so-called busy work to external parties. This, of course, comes with inherent risk. Intelligent automation can provide a better solution and since the work remains in-house, the business maintains maximum possession, control and visibility.

Insights and Analytics

Learning from the past can help your business leaders make better decisions for the future. Machine learning algorithms offer the ability to gather, organize, track, analyze, report on and store valuable data. That information can then be utilized to improve on current operations, address and correct issues in a timelier manner, accurately forecast and develop best practices.

Still not convinced that intelligent automation is a beneficial solution for your business needs? Why not try it for yourself? Click here to start your free trial of Ayehu NG today.  

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How to Build an AI Team

Once viewed as a technology of the distant future, AI is quickly becoming an integral component of many an IT/business strategy. The rapid advancement of data science and machine learning technology, combined with the accessibility and affordability of artificial intelligence platforms in the cloud, are enabling companies in every industry to uncover new ways to extract business value from data. But in order to fully capitalize on AI, an organization must first assemble a strong team. Let’s take a look at three steps for creating such a team in your business.

Learn what successful AI looks like.

When establishing a department dedicated to AI, it’s important to recognize that successful artificial intelligence initiatives require a variety of different roles and skillsets. If you are focused solely on one role – data scientist for example – you will almost assuredly come up short. Instead, take a more well-rounded approach paying particular attention to three distinct areas: a person (or people) who can generate data, a person (or people) who can interpret that data, and a person (or people) who can make judgments about that data.

Recruit/train (and retain) top talent.

It’s no secret that skilled AI professionals are in high demand. In order to develop a good AI team, recruitment and retention are key. The good news is, you don’t necessarily have to look outside of your company to do so. In fact, developing AI talent from internal staff can be just as, if not more effective – particularly given the talent shortage. Investing in training and upskilling can produce a higher return on your investment than external recruiting.

And remember, it’s not just about assembling a team. You also need to focus on keeping turnover at bay. Offering things like professional development and autonomy can make long-term employment with you more attractive.

Tap freelancers.

What if your company simply isn’t prepared or doesn’t have the budget to hire a Ph.D. in computer science? What if your existing staff is too small, doesn’t have the potential or lacks the bandwidth to recruit internally? There are still other ways to get started with AI. Some organizations have had tremendous success hiring artificial intelligence specialists via online talent marketplaces, like Upwork. By eliminating the need to hire in-house, and all the ancillary expenses that come with such an arrangement, you can tap into global AI talent at an affordable price.

With Gartner forecasting that 85% of CIOs will be piloting AI projects by the year 2020, it’s abundantly clear that artificial intelligence is the way of the future. Having a team of skilled individuals dedicated to your AI initiatives can help you maximize the long-term benefits and give your organization the competitive advantage it needs to thrive in the digital era.

Ready to get started with AI but not sure how? For a limited time, we’re offering a free trial of Ayehu’s Next Generation Intelligent Automation platform. Use the full product for 30 days and don’t pay a penny. Get yours before it’s too late!

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Overcoming the AI Talent Shortage

Artificial intelligence has become a huge contributor in the battle for digital transformation. In fact, according to a recent PwC report, global GDP could reach up to $15.7 trillion as a result of AI. But no organization can fully realize the value of this technology without adequate talent at the helm.

The PwC report goes on to point out: “If your business is operating in one of the sectors or economies that is gearing up for fast adoption of AI, you’ll have to move quickly if you want to capitalize on the openings, and ensure your business doesn’t lose out to faster-moving and more cost-efficient competitors.’’

Thanks to this rapid development and adoption, however, many companies are now dealing with an AI talent shortage. This problem exists even in sectors where adoption is slower or the potential for disruption is lower. In fact, staffing skills are the number one challenge for the majority of CIOs looking to adopt AI. The firm also predicts that by the year 2020, 85% of CIOs will be piloting AI projects. In order for that to happen, something has to give.

Roles will evolve, but the need for people will remain constant.

There has long been whisperings that artificial intelligence will eliminate jobs and replace human workers. But while some tasks will certainly be shifted to machine, the need for humans will still exist. They will simply need to master new skills that will enable them to work alongside AI. Those skills, which cannot be replicated by machines, include creativity, communication, leadership and emotional intelligence.

Meanwhile, the demand for data scientists, AI and robotics engineers and other experienced tech specialists continues to grow, and at a fast pace. Unfortunately, given the rapid rate of change and low barrier to entry, these talented individuals are becoming harder and harder to come by. As a result, forward-thinking organizations are focusing their efforts to helping existing employees develop the skills they need to navigate the changing workplace landscape.

Building a Pipeline

One way that organizations are addressing the shortage of AI talent is to establish relationships with resources such as universities and trade schools. This enables them to engage in learning projects, become involved through speaking and mentorship and – most importantly – tap into emerging talent at an early stage, before students enter the workforce.

Internships provide valuable real-world experience and the opportunity to hone their skills and network with other like-minded professionals through meaningful, hands-on projects. The company benefits through the development and ongoing growth of a talent pool from which to draw. It’s a win-win.

Development from Within

The beauty of AI is that it’s a technology that can draw interest from individuals with many different backgrounds. For instance, people with strengths in math, statistics and engineering make excellent candidates for working with machine learning. As such, many companies are discovering that they are already sitting on a gold mine in terms of sourcing talent for their AI initiatives. Internal training and development can be an incredibly effective alternative to external staffing efforts.

For those organizations that lack existing talent or simply don’t have the capacity to transition current employees into new AI-related roles, there is also the option to hire for soft skills and train for the rest. For instance, many futuristic leaders are seeking out candidates that are highly collaborative, possess aptitude and are open to learning new things. Once hired, they can then work on growing AI experts from within.

Closing Thoughts

Whichever way you look at it, the AI talent shortage is very real and it’s not something that can easily be solved, at least not for the foreseeable future. Organizations looking to adopt AI and work toward digital transformation must begin thinking outside the box to solve their staffing needs. In many cases, that means making connections, nurturing relationships and building talent in-house.

If you are interested in adopting artificial intelligence for your business, a good place to start is with a great tool. Take our Next Generation AI platform for a test-drive, free for 30 days. Click here to get started.

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Is Intelligent Automation Really Replacing Human Workers?

When intelligent automation first hit the market, some thought it was too far-fetched to ever become a reality. But as more and more organizations began recognizing the many benefits – from increased productivity and efficiency to lower costs and fewer errors – people started worrying, wondering whether this technology would spell the end of the human workforce as we knew it. Would artificial intelligence really start taking over jobs? To answer that question, those asking it must look inward.

In reality, the impact automation has on the workforce will depend largely on how humans themselves respond. When faced with the rising adoption of AI, workers will likely take one of two paths. The first group will continue to focus on the type of work they’ve always done, but do so more efficiently thanks to the assistance of machine learning. The second will take this as a golden opportunity to pursue their ambitions, further their education to broaden their skill sets, put their creativity and innovation to work and move on to more value-added, meaningful work. In either case, the organization will benefit, as will most of the employees.

In particular, roles that have a primary focus on people, such as customer support and HR, have the potential to benefit greatly from intelligent automation. Instead of being bogged down by repetitive, menial tasks that can easily (and more quickly) be handled by software, agents will be freed up to tackle more complex issues requiring a human touch. Furthermore, the improved allocation of resources afforded by AI will enable agents to prevent issues from occurring in the first place. This can dramatically improve both customer and employee satisfaction rating.

This concept can also be applied to the IT help desk. Rather than waiting until system problems arise and scrambling to fix them in a timely and effective manner, help desk agents can use the extra time automation provides them with to monitor and proactively address technical issues before they occur. Imagine how impressed the CEO will be when he gets a call from IT letting him know his hard drive was about to fail, but it’s been taken care of.

In both of these scenarios, the human worker is enhancing their interactions with their colleagues and/or customers. And since intelligent automation is there to take on the routine, manual tasks, the human agents themselves are also able to improve.

The reality is, very few organizations are focusing on using AI to eliminate jobs. Instead, they are focused on automating tasks, which in turn will improve productivity, streamline how work is completed, eliminate errors and cut costs. In other words, companies implementing automation are not doing so to replace human workers, but rather to augment and make their lives easier. As a result, everyone benefits – from employees and management to clientele and ultimately the organization’s bottom line.

Still not completely sold on the idea of intelligent automation and the value this technology can bring to your business? Don’t take our word for it. Try it for yourself. Click here to download a free 30 day trial of Ayehu. You have nothing to lose!

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3 Business Areas that are Ideal for Machine Learning

At the current rate, AI systems worldwide are on pace to hit nearly $50 billion in revenues by the year 2020. The proof is in the pudding. And if you’re not yet leveraging the power of machine learning, you can bet your competitors are. The good news is, you don’t need a massive budget or a team of experienced data scientists to start putting machine learning to use in your business. In fact, to follow are three practical areas where almost any organization can get started with ML technologies.

Internal/External Support

If you have an IT help desk for employees or a support team dedicated to customer inquiries, you have a great opportunity to leverage machine learning technology. Chatbots can be trained to handle everything from the most basic FAQs to complex issues, working in tandem with human agents.

Not only will a chatbot strategy free up your support staff to focus on more important business initiatives, but it’ll also improve service levels, so it’s a win-win. (Not sure where to start? Here’s a step-by-step guide to implementing bots along with some tips for what not to do.)

Cybersecurity

According to research by Ponemon, the average cost of a single ransomware attack is $5 million. And that’s just one strategy hackers use. If you think cybersecurity is not a big deal, think again. The problem is, cyber criminals are becoming savvier and using more sophisticated methods by the day. Staffing enough people to handle the onslaught isn’t just challenging. It’s next to impossible.

The good news is, machine learning can be used to augment your IT security team, providing an added layer of protection against potential breaches. Intelligent automation can work around the clock, constantly monitoring and analyzing mountains of data and identifying/addressing anomalies before they have a chance to wreak havoc.

Human Resources

While there are certainly areas of the human resources function for which a human touch is still needed, such as discussing sensitive matters with employees, the reality is, the vast majority of today’s HR processes and workflows can easily be automated.

For instance, machine learning algorithms can be used to weed through job applicants, saving recruiters time and aggravation, while intelligent automation can handle new employee onboarding far faster and more efficiently than a human agent could. To get you started, check out these 5 tips for optimizing HR with automation.

Of course, none of these things will be possible without the right technology. Thankfully, you don’t have to be an AI guru to leverage machine learning, nor do you have to hire a team of experts. In fact, you don’t even have to know how to code. Experience the power of plug-and-play intelligent automation by requesting an interactive demo of Ayehu or jump right in with your free 30-day trial today!

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