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.


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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How Artificial Intelligence will Impact IT Careers

How Artificial Intelligence will Impact IT CareersThere’s no question that machine learning and artificial intelligence technologies are making an impact on IT workers, particularly when it comes to entry-level and support type roles. As such, there has been a sweeping concern over the long-term affect AI will have on IT related careers in the future. And for good reason. After all, IT does happen to be the most frequent user of AI. Does that mean technology jobs are about to become obsolete? In a word, no. Instead, IT professionals will need to evolve alongside AI and develop new skills.

A shift has already begun…

This evolution is already happening in many organizations worldwide. Take an international hotels group. Not long ago, the IT service support team was comprised of 35 people working tech support in various levels. One of the biggest challenges at that time was keeping up with the 24/7 needs of end users. In response, the company’s Director of IT initiated a major transition that leveraged AI to offer self-service options and achieve greater scalability.

Humans and machines working in tandem

The company in question deployed an AI-powered intelligent automation platform that could perform common support tasks without the need for human intervention. Further, because the solution featured machine learning capabilities, it could essentially learn from its own experience and improve over time. The most surprising news? The company did not lay off a single staff member. Instead, its headcount actually increased by 80 people.

This real-world example provides a glimpse into the future and how artificial intelligence will impact work in the technology field. Tomorrow’s IT departments will achieve far greater productivity levels thanks to the support of intelligent automation. And along with these newer technologies, additional career opportunities will emerge.

Humans will no longer need to focus on routine, mundane and mind-numbing tasks. Instead, they will be freed up to apply their creativity and cognitive skills accordingly. Instead of fielding requests and responding to tickets, human workers will be focusing on monitoring and training their intelligent technology.

AI opportunities will increase

For IT professionals, AI and machine learning technologies present tremendous opportunity. In fact, according to Gartner, by 2019 more than 10% of IT hires in the support realm will be involved in managing bot interactions. By 2020, 20% of organizations will have dedicated workers responsible for monitoring and guiding neural networks. Furthermore, McKinsey predicts that AI could potentially create 20 to 50 million jobs globally.

And just as organizations can leverage the power of artificial intelligence to differentiate themselves and gain competitive advantages, IT professionals skilled in AI technology will similarly be able to position themselves as frontrunners in their industry. With the current shortage of individuals with this particular skillset, the opportunities that lie ahead cannot be understated. A good place to start? By familiarizing yourself with an easy-to-use intelligent automation platform like Ayehu.

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SRI International and Ayehu Team Up on Artificial Intelligence Innovation to Deliver Enterprise Intelligent Process Automation

Ayehu Receives License to Commercialize SRI International’s Machine Learning and AI to Extend its Intelligent Automation Platform

SAN JOSE, Calif. –- July 18, 2018Ayehu, provider of the leading AI-powered IT automation and orchestration platform, today announced that it has entered into a licensing agreement with SRI International – home to labs that have developed breakthrough technologies that have changed the world. Through the license, Ayehu will apply SRI’s machine learning (ML) and artificial intelligence (AI) technology to its next-generation IT automation and orchestration platform, providing a pathway to autonomy. The collaboration will allow companies to realize the full power of intelligent automation that can transform the future of the enterprise.

“For many years, an important part of SRI’s work has been at the frontier of human augmentation and industrial automation, and we’re excited to now work with Ayehu to address unmet needs in enterprise IT automation,” said Manish Kothari, Ph.D., president, SRI Ventures. “We are proud to collaborate with companies that share our forward-looking vision to bring our game-changing technology solutions to market.”

In collaboration with SRI, this year Ayehu will enhance the AI capabilities of its IT automation and orchestration platform to include deeper levels of dynamic rules, mapping and matching tickets and incidents with resolution processes. This innovation in intelligent process automation will give CIOs the ability to create a self-learning, self-driving enterprise that opens up a world of new opportunities.

“By combining SRI’s deep technical capabilities in AI with our IT automation market presence and experience, we will be able to help our enterprise clients be the first movers into the future of the autonomous enterprise. This effort will bring about proven results for CIOs as they incorporate intelligent automation and augmentation into the business,” said Yaron Levy, co-founder and CTO of Ayehu. “We believe in the power of intelligent automation for the good of both employees and businesses. As such, we are excited about the ways that people will be freed up to evolve and apply their capabilities to create much more innovation.”

Ayehu’s IT automation and orchestration platform is designed to help enterprises combat the growing shortage of skilled IT and security technology professionals, by allowing them to fully automate time- and resource-consuming operational tasks, and as such, help them to accelerate growth.  Ayehu’s AI-powered automation platform fully mimics repetitive manual work processes of humans without requiring any coding or scripting. With this, enterprises have the ability to achieve significant results such as completely automating end-to-end IT and service management operations speeding up incident resolution and interacting dynamically with intelligent chatbots.

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. For more information, please visit and the company blog.  Follow Ayehu on Twitter and LinkedIn.

About SRI International

SRI International creates world-changing solutions making people safer, healthier, and more productive. SRI, a research center headquartered in Menlo Park, California, works primarily in advanced technology and systems, biosciences, computing, and education. SRI brings its innovations to the marketplace through technology licensing, spin-off ventures and new product solutions.

3 Ways Machine Learning Can Resolve Business Issues

3 Ways Machine Learning Can Resolve Business IssuesMachine learning is getting a great deal of attention lately, particularly in terms of helping businesses by reducing human effort for performing even complex tasks. ML is capable of identifying patterns that can be found within massive amounts of data with remarkable precision and turning that insight into intelligent recommendation. Below are a few of the growing number of business problems that are now being solved using machine learning technology.

Turning Data into Action

There are 2.5 quintillion bytes of data created each and every day – a pace that’s accelerating rapidly. With such an enormous amount of information out there, it’s hard enough to capture it, let alone extract what is useful. Data visualization involves the automatic gathering, analyzing and compiling data in a way that the average human can easily understand.

Adding machine learning introduces predictive outcomes into the mix. In other words, data visualization will monetize large datasets for visual representation; machine learning leverages that data to provide decision support to business leaders.

Driving Chatbots

In the not-so-distant past, designing a chatbot was a tedious undertaking that required a lot of time and manual code writing. Today, machine learning technology has made it easy to develop automated chatbots for use in messenger apps or on websites.

These advanced electronic agents are capable of holding relatively complex conversations with customers and delivering support without the need for human intervention. They do this by taking the input queries from users and predicting the answer for context. Best of all, with a platform like Ayehu, chatbots can be created with zero coding, which means just about anyone can do it.

Analyzing Consumer Behavior

Predicting upcoming consumer trends has never been easier, thanks to artificial intelligence and machine learning technology. The more connected we become as a society, the more data we produce and the more valuable information about customers – their behaviors, their preferences and their needs – becomes readily available.

Machine learning can instantly, automatically and thoroughly analyze that data to provide highly accurate predictions for more data-driven decision-making. With this information in hand, organizations can hone everything from their marketing strategies to their product design to better suit the needs of their customers, creating more loyalty and better market position.

Without question, machine learning technology is responsible for driving business growth, not just through the automation of routine tasks, but through advanced decision support. More and more organizations are leveraging AI to help predict future outcomes, avoid risks and develop plans to improve their bottom lines.

Could your business benefit from any of these things? Find out today by taking a virtual tour.

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Injecting Digital Intelligence into the Modern Enterprise

Injecting Digital Intelligence into the Modern EnterpriseAdvancements in AI, big data analytics and the IoT are revolutionizing the way businesses operate. Enterprises must adapt to and evolve with the changes in order to compete remain relevant. This breakneck speed of technological change calls for tremendous flexibility and demands the ability to recognize the opportunities and challenges, both now and in the future. Digital intelligence is the key to unlocking the possibilities and achieving the desired outcomes of tomorrow.

The Power Behind Intelligent Organizations

There are two distinct forces that are shaping the intelligent enterprise of today. The first is the growing use of big data, which is at the foundation of developments in research, forecasting and artificial intelligence. The second is the increasing understanding of human judgment, reasoning and choice. Intelligent organizations are capable of merging these two powerful forces to create a synergy that propagates enhanced decision-making. It’s no easy feat, but the payoff is well worth it in the long run.

Through ongoing advancements in technology, such as improved machine learning algorithms, robots have begun to compete with and sometimes even surpass many of the capabilities that were once thought to be exclusive to humans.

The Role of AI

Intelligent enterprises are already beginning to harness the power of emerging technologies to optimize and accelerate their business processes. AI and machine learning algorithms are assisting business leaders by identifying patterns to gain crucial insight into operational and consumer interactions. Intelligent automation is streamlining repetitive tasks, reducing and sometimes eliminating the need for human intervention and freeing up skilled workers to focus on tasks at which humans excel.

Humans and Machines – A Match Made in Heaven

The truly intelligent organization is the one that successfully marries technological capabilities with human strengths. People will remain relevant in business wherever contextual understanding and creativity are required. Human workers utilize cognitive tools, like pattern matching and storytelling, to simplify complex phenomena. In fact, research indicates that the most effective forecasting come from a healthy balance between machine learning and human judgment.

The technological revolution provides business leaders with both an opportunity and a challenge. For forward-thinking companies, the most pressing questions will be which machine-versus-human approach to apply to what project and what’s the best way to integrate the two.

Digital Intelligence is the Way of the Future

In the not-so-distant future, best-in-class predictive business systems will feature a complex synthesis of humans and machines that draw on the strengths of each. Next generation technologies, such as AI powered automation and orchestration platforms, will provide the most powerful and effective decision support systems. These systems will become increasingly commonplace, expanding to become even more comprehensive and developing to become even more sophisticated over time. It’s entirely feasible to believe that someday intelligent decision support will reach a capacity that is equal to or better than human experts.

In this lightning-paced tech landscape, enterprises must look toward the future, identify where they want to be and redesign their approach based on that vision, embracing and adapting to technological changes along the way. Intelligent automation is a great place to start. To experience digital intelligence for yourself, click here to schedule an interactive demo.

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Streamlining HR with Intelligent Automation

Streamlining HR with Intelligent AutomationHuman Resources is a critical function of any organization, particularly those at the enterprise level. Because HR is connected with every other department, when HR processes are running smoothly, the entire business benefits. Conversely, when those processes break down, the whole company can be impacted. Due to the broad reach and extensive list of responsibilities, enhancing HR processes through intelligent automation can dramatically improve productivity and efficiency across the organization.

A glaring need for intelligent automation

According to ServiceNow’s report, Today’s State of Work: At the Breaking Point, Human Resources was listed as the least efficient department. In fact, the study revealed that those in HR are wasting two full days, or 16 hours per week performing manual administrative tasks.

For instance, activities like overseeing employee relocations, managing leaves of absence and onboarding new employees are all among the most inefficient processes of HR.

Without question, HR teams want to deliver exceptional service, but find themselves far too often burdened with repetitive tasks and workflows. Unstructured work processes and HR functions that are heavily manual lead to unnecessary complexity and a steady drain on productivity.

Intelligent automation presents a golden opportunity

A recent survey by Career Builder revealed that 72 percent of employers expect some roles within HR will become completely automated over the next 10 years. Yet, according to the ServiceNow report, automation is only being leveraged in 37 percent of HR services.

Using intelligent automation to reduce complexity enables HR professionals to focus less of their time, energy and expertise on manual recruitment activities and more on innovating and improving business practices.

Introducing intelligent automation in 5 easy steps…

Step 1: Identify processes and workflows that should be automated.

We’ve already mentioned that HR is a department ripe with opportunity to automate, particularly given its many manual, repetitive and transactional processes. The first step in getting started is to identify these tasks and list them out in order of priority. For best results, look for “quick wins” – that is, the processes and workflows that, when automated, will produce the fastest and most measurable return on investment.

Step 2: Create a blueprint.

The next step should involve mapping out these critical business functions from start to desired end-state, including a combination of both artificial intelligence and human skills. Investigate further whether the existing processes you have in place could be augmented by intelligent automation to deliver the desired result. During this process, you may discover that it’s easier to redesign some workflows from scratch rather than to modify them.

Step 3: Get executive buy-in.

Organizational change, such as what’s involved with deployment of intelligent automation in HR, requires more than just simply executing a series of implementation activities. To truly gain traction and roll out successfully, adoption must start at the top and trickle its way down. As such, those in senior leadership must be visible, both in their support and their participation. This will empower employees and encourage them to suggest how intelligent automation can further benefit the business.

Step 4: Communicate openly and regularly.

Remember that through automation, you’ll inevitably be impacting the day-to-day work of your employees. To prevent resistance and overcome fear, be proactive about communicating with the HR department. Address their concerns, answer their questions and provide them with reassurance that the changes being introduced will ultimately benefit them. Not only will they save time, but they will also be freed up to focus on more creative, strategic and fulfilling projects.

Step 5: Retrain and reskill.

As intelligent automation is introduced, the role and day-to-day functions of human employees will inevitably evolve. Don’t just expect your employees to possess the innate skillsets needed for leveraging automated tools. For instance, your HR team may have the soft skills needed to be successful, but they may still need help understanding how to interact with automation technology. Invest in retraining and reskilling them accordingly so they are armed with the info they need to evolve alongside the changing technology.

Highly automated companies are six times more likely to experience revenue growth of more than 15% versus companies with low automation. Human Resources is an excellent place to start. Want to experience intelligent automation for yourself? The wait is over. Take Ayehu for a test drive today!


The Role of Workflow Automation in Digital Transformation

The Role of Workflow Automation in Digital TransformationThe digital era has opened many doors to businesses in terms of technology. These days, new tech is not only widely available, but it’s also far more affordable than it was even just a decade ago. With this increased access, many organizations have set forth on the path to digital transformation with technology as their primary focus. In reality, however, it’s people and the processes they are empowered with that will lead to true transformation. And it’s intelligent workflow automation that will unlock the power of your employees. Here’s how.

Overcoming Barriers to Digital Transformation

Forward-thinking business leaders recognize that in order to remain competitive, they must continuously evolve their culture, processes, procedures and technology. Accomplishing this successfully is no easy feat.  And despite the fact that 83% of IT decision makers say workflow automation is “essential” to digital transformation, a surprising number of manual processes still remain.

The truth is, even the most dedicated IT teams cannot possibly manage to optimize the thousands upon thousands of processes that are occurring across the business. As a result, only certain processes get prioritized for automation, which means only select users experience the benefits. This is particularly true at the enterprise level.

For instance, the workflows most critical to keeping the C-Suite operating efficiently may be automated while line of business workers in other departments, such as human resources, marketing and finance are left in the dark. This results in a remarkable number of inefficiencies across the organization.

Providing these LOB workers with access to an intelligent automation platform eliminates these inefficiencies. Users can automation and orchestrate processes that are most relevant to them, eliminating manual processes and thereby optimizing their workflows.

Deploying Workflow Automation Across the Enterprise

The key to enterprise-wide adoption of workflow automation is that it must be trusted by your IT team and accessible enough to be used across the entire line of business. If IT has to waste hours of their busy day writing code, the automation project will just become another point of contention. This, coupled with the need for LOB accessibility, makes no-code solutions the best choice.

With an intelligent workflow automation and orchestration platform like Ayehu provide this enhanced accessibility. And since the technology requires no coding and features a drag-and-drop design, workflows can be built and deployed in minutes, making life easier for the IT department and improving the experience for LOB users.

No-Code Intelligent Solutions for Workflow Automation

At Ayehu, we believe that every business user should be able to benefit from workflow automation. By leveraging a solution like ours, enterprises can unlock the power of their workforce, empowering users to optimize and innovate. Workflow automation, powered by artificial intelligence and machine learning, can become the catalyst for change and the next step in the journey that leads your organization to true digital transformation.

Want to experience intelligent workflow automation for yourself? Take Ayehu for a test drive today!

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5 Ways AI Will Transform The Enterprise In 2018

5 Ways AI Will Transform The Enterprise In 2018

Article originally published on Business Computing World.


The terms machine learning and artificial intelligence (AI) have become buzzwords across the globe, particularly among forward-thinking business leaders. Yet, despite these technologies’ promising benefits, few organisations have actually been taking full advantage of them. That is likely to change this year, however, with Gartner projecting that 2018 will officially mark the beginning of the “democratisation” of AI.


One of the biggest driving forces behind this transformation is the growing realisation that the collection and analysis of data has become an essential component of success in the digital age. Furthermore, there is an increasing awareness that despite the massive volume of data available, many organisations still aren’t putting that information to productive use. Artificial intelligence holds the key to unlocking the tremendous value all that data represents.

With that in mind, here are five specific ways that AI and machine learning technology will impact the enterprise over the coming months.

1. New AI-Related Roles Will Begin To Take Shape

As the adoption of AI technologies continues to grow, so will the demand for skilled workers. Larger enterprises may choose to add senior-level positions, such as Chief Automation Officer, to manage how AI and machine learning are integrated into the company’s overall vision and strategy. Furthermore, as more organisations begin making the move toward creating their own automation centres of excellence (CoE), a combination of re-skilling and staff expansion will be needed to fill next generation roles, such as Automation Engineers.

2. AI Will Bolster Cybersecurity

As cyber-criminals continue honing their craft to become more relentless, invasive, and sophisticated in their attacks, organisations must utilise the advanced technologies available to them in order to fortify their defences. Incorporating AI and machine learning algorithms into the enterprise incident response and remediation process augments the security staff’s ability to proactively fight fire with fire by automatically detecting, analysing and defeating attacks before they can wreak havoc. Using AI technology in tandem with human intelligence, enterprises will gain the edge they need to more effectively protect the confidentiality, integrity, and availability of their most valuable assets, both digital and physical. And because cyber-attackers are constantly upping their game, leveraging the same technological capabilities against them will ultimately become the most potent defence.

3. Chatbots Will Become Standard

Despite the fact that chatbot technology has already infiltrated the consumer market, adoption has been somewhat sluggish at the enterprise level. We should, however, begin to see greater adoption of these technologies during the coming months, particularly in customer-facing industries, such as banking and health care. AI-powered voice assistants, similar to Siri and Alexa, represent a significant opportunity for those in customer service, whether external or internal (i.e. help desk personnel). Not only will the addition of chatbots create a more efficient and interactive experience for the end-user, but it will also help lighten the load for organisations whose staff are already stretched thin.

4. AI Will Dramatically Improve UX

As mentioned, there is virtually an infinite amount of data available to business leaders today. Harnessing that information and transforming it into something useful is another area where AI will truly begin to make its mark on the enterprise. By gathering the right information, identifying patterns, and continuously adapting itself, machine learning technology is capable of delivering greater value to the end user, both internally as well as from a customer service standpoint. As a result, enterprises can leverage AI to automatically create a user experience that is fluid, efficient, and far more personalised.

5. AI Will Facilitate Better, More Data-Driven Decisions

Humans are naturally influenced by emotions. Even the most dispassionate individual can fall victim to bias and prejudice, often without even being cognizant of the influence their subconscious assumptions have on their decision-making process. Artificial intelligence operates similar to the human mind, but without the preconceived notions and underlying emotions. Leveraging this will enable companies to avoid bias and unintentional discrimination in a variety of areas, from hiring and customer care to operations and beyond.

In a global economy as ruthlessly competitive as ours, the ability to make better decisions will become a key differentiator for organisations striving for sustainable success.

Can AI Solve Your Business Problem? Here’s How to Tell

Can AI Solve Your Business Problem? Here’s How to TellThe terms artificial intelligence (AI), machine learning and big data have all become buzzwords of late, and you may be wondering whether you might be able to utilize these innovative technologies for your own benefit. Figuring out which problems in your business would be suitable for AI is a good place to start. Furthermore, determining whether those problems are automation problems or learning problems is equally important.

Automation without machine learning capabilities is appropriate for problems that are relatively straightforward in nature (i.e. automation problems.) These are the tasks and workflows that have a predefined sequence of steps currently being carried out by a human worker, but that could feasibly be transferred over to a software robot. This type of automation is not new. It’s been leveraged for decades.

For the second type of problems traditional automation isn’t sufficient, as these types of problems require learning from data. Machine learning technology uses statistical methods and built-in algorithms to identify patterns of predictability in datasets. This is particularly helpful in determining how certain data features are related to certain outcomes.

So, what business problems are a good fit for AI technology? In general, any problem that either requires prediction as opposed to inference, or is relatively self-contained or insulated from outside influences.

Basic examples of AI problems include predicting the likelihood that a specific type of user will click on a specific type of ad or evaluating how similar a particular piece of text is to previous ones. Examples where AI isn’t yet fully capable would be predicting profits from a brand new and/or revolutionary product or forecasting next year’s sales based on past data when a significant new competitor has recently entered the market.

Once you determine whether your business problem is suitable for AI, the next step is verifying whether you have the appropriate data to solve said problem. This data can come from a variety of places, both internal as well as external resources. If you are obtaining data from an outside source, it’s wise to ask enough probing questions so that you can ascertain what the data’s scope is and whether it’s likely to be a good fit for what you’re trying to achieve.

The good news is, with the right platform, you should be able to tackle both automation problems as well as learning problems. In fact, armed with the right technology, you can conceivably automate almost any task, process or workflow – even ones that are especially complex and require the use of many disparate systems. If you’re unsure where to begin, here are four business processes that are ideal for AI technology. And here are a few tips for adopting AI and automation to get you started.

Want to experience automation powered by AI and machine learning? Take Ayehu for a test drive today.

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