5 Mistakes to Avoid on the Path to Digital Transformation

5 Mistakes to Avoid on the Path to Digital TransformationThese days the term “digital transformation” is all everyone can talk about, and a simple Google search will reveal countless resources on how to make it happen. What few people are discussing, however, is the other side of the coin – what not to do. The good news is, there are plenty of organizations that have successfully navigated the path and overcome the mistakes they’ve made along the way. This has paved the way to creating a sort of guideline for how to avoid digital disaster. Let’s take a look.

Not defining your process.

Digital transformation is a very broad term and it means different things to different organizations. There is no one-size-fits-all approach, nor is it possible to successful transform without a clear plan and specific goals in place. To create this strategy, you should begin by defining high-level requirements. From there, devise a blueprint for implementing the appropriate technologies to meet those requirements.

Not understanding cultural fit.

Younger generations are digital natives and therefore adapt quickly and easily to new technologies. But if your workforce also includes a number of users from older generations, driving full speed ahead on the digital transformation train without considering this can spell disaster. To prevent this, avoid adopting tools and platforms that aren’t overly complex or feature a steep learning curve. Instead, focus on user-friendliness, out-of-the-box functionality, codeless design, etc.

Not managing expectations.

Change is hard. Add to this the concern that certain technologies, such as intelligent automation, are a threat to human workers and you’ve got a situation that is ripe with resistance. This can be overcome by effectively managing expectations. Communicate openly and often. Demonstrate the tangible benefits that digital transformation will have for your employees. Answer their questions and quell their concerns. This will make them less afraid to embrace new technologies. (If you’re still struggling, check out these five tips to help get your workers onboard.)

Not looking at the big picture.

Digital transformation driven by intelligent automation isn’t something that happens overnight. Furthermore, in order for it to be successful, it cannot be approached as just another project. To the contrary, the focus should be on long-term sustainability. This requires that you not only know where you are presently, but also have a clear picture of where you want your organization to be in the future. While it’s wise to start small and build up (essentially, walk before you run), it’s important not to become too short-sighted in the process. Effective digital transformation is an enterprise-wide initiative.

Not measuring progress.

Most of the companies that have gone off the rails and down the path to digital disaster have one thing in common: they weren’t tracking their progress. You can’t know whether you’re headed in the right direction if you’re not regularly monitoring and measuring. Furthermore, if you’re not careful, you could discover your missteps so late in the process that it will be extremely difficult to recover. Utilize the technologies that are available to you, like machine learning algorithms, to keep you on track and help you make data-driven decisions that will pave the way for success in the future.

Do you have your eyes set on digital transformation for your organization? A great place to start is with automation and orchestration. Experience Ayehu’s next generation platform (powered by AI) and kick your journey off on the right digital foot.

Free eBook! Get Your Own Copy Today

5 Simple Strategies to Get Employees Onboard with Intelligent Automation

5 Simple Strategies to Get Employees Onboard with Intelligent AutomationYou’ve worked hard assembling a team of capable individuals, creative thinkers and innovative problem solvers. Unfortunately, they’re spending the majority of their days manually processing routine tasks and compiling reports, leaving little to not time leftover to focus on the innovative work they’re truly capable of producing. Automating routine processes can free them up to apply their talents to more valuable tasks. But if your staff is already insanely busy, how can you convince them to commit any more of their precious time and energy to adopt a new technology?

The good news is, you don’t have to – provided you choose an easy-to-use automation and orchestration platform that empowers users to automate their own tasks and workflows. Once you’ve got that part squared away, use the following five strategies to get your IT team not just on board with but actually excited about adopting intelligent automation.

Ask them what they’re sick of doing.

The initial step in any automation project is determining what tasks to automate first. A great place to begin is with the tasks and workflows that your IT staff members hate doing. These might include repetitive tasks like processing approvals or compiling weekly reports. These things are necessary but they’re not the best use of your employees’ time and talent (and boy, do they know it!) By automating the mundane drudgery that your IT team detests, you’ll make their lives easier immediately, which can be a huge motivator of change.

Build upon your existing foundation.

With the right intelligent automation platform, existing infrastructure doesn’t have to be massively disrupted. In fact, to the contrary, a platform that integrates seamlessly with legacy systems and applications can make adopting IA fast, easy and painless. Take a few moments to go through the tools you already have in place and show your IT team how integrating automation will bring everything together for the greater good.

Look for tools that are all-encompassing and versatile.

If you want your entire IT team to jump onboard with intelligent automation, you have to present them with a solution that works for everyone – not just a select few. Likewise, you want a platform that is versatile enough to cover a broad range of tasks and workflows, from routine and common to complex and unusual. Empower your users with IA rules and tools that anyone can implement without the need for coding or scripting. The easier and more flexible the platform, the greater the adoption will be.

Streamline and optimize communications.

Your IT team is busy enough. The last thing they need is to have their inboxes bombarded with endless messages and lengthy email threads that don’t apply to them. A quality intelligent automation platform should provide a centralized dashboard where everyone can see the status of tasks and workflows. Updates, alerts and notifications should be delivered only to those people to whom they are relevant, such as the individuals who have claimed a certain task. By moving away from email, employees will be able to manage their communications more efficiently.

Keep mobile top-of-mind.

We live in an increasingly mobile world. The ability to manage and oversee automated workflows from anywhere can be an incredibly attractive benefit for your busy IT team. You know – those hard-working individuals who can never seem to get much-needed time away. Reward them with an intelligent automation platform that is not only capable of handling the majority of the workload without the need for human input, but can give them freedom and flexibility through mobile communications.

Intelligent automation should help IT workers to perform their jobs more efficiently, freeing them up to focus on creative thinking and higher-value projects. But gaining buy-in from an already maxed-out staff can be challenging. By implementing the five tips above, you’ll be able to win them over once and for all.

Looking for an intelligent automation solution that features all of the perks and benefits outlined above? Why not give our Next Generation IT automation and orchestration platform a try today? Click here for a free, interactive no-obligation demo to get started.

Free eBook! Get Your Own Copy Today

How to reduce employee onboarding time by 90%

How to reduce employee onboarding time by 90%Did you know that the average company spends $4,000 for each new hire? And that number doesn’t take into account the amount of lost productivity during those first few months on the job. Some sources estimate that it can take up to eight full months for a new employee to become fully productive. But since employees who are successfully onboarded are 69% more likely to stay, reducing costly turnover, it’s a process that is necessary. The good news is, there are ways you can significantly reduce the amount of time it takes to onboard new hires. Let’s take a look at one such case study below.

Recently, one of Ayehu’s long-term customers – a large international shipping organization, won an award in automation and infrastructure from a respected magazine in Israel named ‘People & Computers’. This recognition was given due in large part to the impressive reduction the company has been able to achieve on their employee onboarding process. How did they achieve this? Simple. By shifting the process from human to machine through intelligent automation.

The company’s director of IT, together with the company’s HR Project Manager, realized that each time they hired a new employee, more than a week of time was being wasted performing the necessary but tedious onboarding functions such as opening an account and granting appropriate permissions. There was also lack of synchronization between the company’s cloud HR system and on-prem IT infrastructure. Furthermore, every time an employee changed status, the same time would be required to process his or her permission changes as well.

The managers began searching for a solution to reduce the time being wasted in performing these processes and workflows, and ultimately chose Ayehu to automate it. Together with Ayehu, the IT team created a fully-automated process that handles this task in mere minutes, rather than the previously required week of manual work across multiple departments.

In general, the automated workflow they created performs the following steps:

  1. Import the users’ details to a CSV file from the Active Directory
  2. Compare the changes in the current details to last weeks’ details, using their existing cloud HR system and IT infrastructure
  3. Update the new users and their permissions in Active Directory and several SQL databases
  4. Open and close permissions and send a report to IT team

This entire process is now handled automatically with zero human input, which has cut the process time down by an incredible 90%!

How much time is your company wasting on manual processes and workflows? More importantly, what could your employees achieve if they were no longer bogged down by these tasks? Experience for yourself the same liberating time and cost-savings that hundreds of global organizations have already achieved. Click here to experience Ayehu’s revolutionary next generation intelligent automation and orchestration platform today.

Can too much automation hinder the cloud?

For obvious reasons, you’ll rarely hear us indicate that there could ever be too much automation. To the contrary, the more an organization embraces and employs intelligent automation technology, the more streamlined, efficient, cost-effective and productive the entire organization can be. What we will say, however, is that implementing too many such automation tools can, in fact, have the opposite effect on operations, specifically for those companies using cloud technology. Instead of trying to mishmash everything together, enterprises should focus on choosing and implementing a more comprehensive solution.

Cloud technology has virtually revolutionized the way businesses operate. When leveraged properly, this type of environment should make everyone happier and more productive, from the CEO to the front-line end-users and everyone in between. The problem is, many companies approach cloud intelligent automation entirely wrong. Traditionally, IT personnel had to think in terms of compliance, availability, latency and how those things interacted together.

With the dynamics of cloud, however, IT now has to shift its focus on how to leverage all of those services to other business units. This shift has dramatically increased the complexity of the management process and while intelligent automation is ultimately designed to aid in this area, teams often muddy the waters and hinder progress by over-specifying and hyper-focusing. Instead of the cohesive infrastructure that’s desired, this creates a more fragmented, siloed and subsequently inefficient environment.

The key lies in choosing a comprehensive IT automation and orchestration platform that can handle the complex and changing dynamics of IT and beyond. Given the dizzying number of vendors in the cloud management platform space, this task can be nothing short of overwhelming. Many fall into the trap of selecting multiple tools from different service providers while others succumb to the alarming number of acquisitions and changes that so many cloud vendors experience. What they end up with are several tools that are ultimately working against, rather than with, one another.

To avoid this, IT professionals should take the necessary time and apply careful consideration to the selection process. Rather than picking several different automation tools, decision makers should focus on weighing their options and making a more mindful investment. Of course, they must also be careful that they not end up with a platform that is not sufficient for their needs, or one that has way more bells and whistles (and subsequent costs) than what they require. The goal is to find a happy medium with a comprehensive solution that is most closely aligned with the specific needs, pain points and overall objectives of the organization.

In reality, there may always be a need for more than one single automation tool, particularly in the dynamic cloud environment. In fact, if Gartner’s prediction was on target, 75% of large enterprises already have more than four diverse automation technologies within their management portfolio. As a general rule of thumb, however, the fewer tools you implement, the better, so bear this in mind during the evaluation and selection process.

Another key thing to consider is avoiding the common mistake of approaching intelligent automation from an opportunistic perspective, rather than one that is systematic in nature. Because opportunistic decisions are based on individual needs and pain points, they ultimately facilitate the siloed environment of traditional IT where each department or team employs a different automation tool to meet their unique needs. As a result, too many tools lead to loss of control and marked inefficiency.

On the other hand, systematic intelligent automation covers the big picture, taking into account the needs, visions and goals of the entire organization, rather than each individual team or department. Consequently, automation tools are more strategically assessed and selected with the overarching purpose of bridging interdepartmental gaps and creating more streamlined operations across all systems, programs and applications.

If you’ve fallen into this trap and fear that your organization is employing too many unnecessary or redundant tools, the time to take action and turn things around is now. We recommend taking a step back, carefully assessing your current state and finding an intelligent automation solution that will allow you to trim down and run a much more efficient, effective cloud environment.

If you’re interested in learning more about how Ayehu has been designed and developed with this purpose in mind, schedule a free product demo today to get started today!

Free eBook! Get Your Own Copy Today

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 www.ayehu.com 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.

Using Intelligent Automation to Facilitate Business Continuity

Many people associate business continuity with catastrophes such as floods, hurricanes or terrorist attacks. But while these disasters can certainly disrupt business, there are plenty of other types of seemingly minor events that can have just as devastating an impact. These things may include anything from employee or application errors to delays in responding changes. In fact, according to Gartner, an average of 80% of mission-critical application service downtime is directly caused by people or process failures. Intelligent automation can help organizations prepare for and avoid these situations.

Driving Factors

Today’s mainframe is a critical and deeply integrated component of the overall IT infrastructure. Not only must it interoperate with a growing number of other resources as part of a complex, multi-tiered architecture, but it must also meet the demand for 24/7 operability. The days of scheduled maintenance windows have all but disappeared, forcing IT teams to perform these necessary tasks – such as upgrading, fixing bugs and adding new applications – while the system is still up and running.

Further complicating matters, the Internet has exposed the mainframe to outside users that number into the thousands or even millions. As a critical component of an organization’s business processes, the mainframe must also facilitate transactions with external systems outside of the enterprise, such as those in distribution and supply chains.

As a result of this complexity, the potential for errant code and human error is multiplied tenfold. Complexity also makes it challenging for operations to quickly and accurate respond to changing conditions in the IT environment. All of this can lead to performance degradation and network downtime.

Traditional Methods No Longer Cut It

IT component and data protection methods of the past – like backup, recovery and mirroring – are no longer sufficient for ensuring business continuity. Take, for instance, the case of a critical database becoming contaminated due to an erroneous application entry. Traditional recovery methods would only back up the contaminated data, further perpetuating the problem.

Furthermore, manual system-management is no longer a viable business practice. Complexity has grown to a point that even the most skilled IT professionals are not capable of handling. This opens the door to even greater risk of human error. Manual procedures can also slow reaction times, which can lead to issues with performance. Lastly, manual processes are incredibly difficult to audit, making them a compliance risk as well.

Intelligent Automation to the Rescue

To fortify business continuity, organizations must augment their manual system-management processes and their existing disaster recovery methods with protection that is more comprehensive. That’s where intelligent automation comes into play. An IA platform uses software to automatically perform IT service management workflows. And because it is powered by artificial intelligence, these platforms can even make decisions independent of human input based on business policy and impact.

Intelligent automation presents a number of valuable benefits, particularly in terms of facilitating business continuity. First, it overcomes the complexity of the IT infrastructure and ensures that ITSM functions are carried out in a consistent and timely fashion based on specified best practices. As a result, the risk of error is dramatically reduced and a fully auditable trail is created to ensure regulatory compliance.

Additional benefits of intelligent automation include, but are not limited to:

  • Fewer failed IT infrastructure changes
  • Reliable service quality even through changing conditions
  • Detection and elimination of contaminated data
  • Preservation of skills of mainframe personnel
  • Ensuring a more speedy and successful recovery from disasters

Is your organization adequately prepared to handle potential downtime? Intelligent automation can strengthen and improve your business continuity strategy, lowering the chances of an incident and limiting the damages from those events that do occur.

Getting started with IA is as easy as clicking here. Don’t take chances. Protect your organization today!

Free eBook! Get Your Own Copy Today

What to look for in a cloud orchestration platform

What to look for in an orchestration platformWhen it comes to choosing cloud orchestration software for your organization, the choices certainly are many. What are the most fundamental, foundational features and functions to help narrow down your search selection? Well, it starts with an internal audit to determine what your goals and needs are, both presently as well as in the future. From there, it can be helpful to establish some specific guidelines, which can help you avoid becoming overwhelmed by all of your available options. That being said, here are the basics to begin the evaluation process.

Integration with Intelligent Automation

The driving force behind a successful orchestration solution is its ability to be integrated with automation. This creates a more robust and highly functional platform that effectively carries out workflows. Without this marriage, these workflows simply cannot exist. There are various options for this, including selecting a standalone product that can be integrated with existing automation tools, or a comprehensive platform that has intelligent automation built in (a much better choice).

User-Friendliness

An overarching goal of most IT teams implementing a new orchestration tool is to deploy its services as quickly and efficiently as possible. In order to facilitate this fast, streamlined deployment, the solution chosen must be user-friendly. If creating a new workflow involves a significant amount of time and effort, the value of the orchestration tool is naturally diminished. Likewise, if the tool cannot be rolled out broadly to the entire organization due to the need for extensive training and in-depth knowledge, the overall benefits will no longer outweigh the time, money and efforts invested in the process.

Workflow Creation with Reusable Components

In order for a workflow to be effective, it must be robust, flexible and scalable. The process of creating an initial workflow can be somewhat laborious, but with the right tools and platform in place, this work should pay off by way of a number of benefits that can be realized down the road. The goal should be, over time, to be able to reuse certain parts of existing workflows in order to facilitate faster, easier and more efficient creation of new workflows. As such, the orchestration software you select should have the capability to duplicate, reuse and repurpose workflow components.

It should be noted, however, that while this strategy will save time and money, it will also pose certain challenges once the task of tying in additional more complex workflow components, such as alerts and automated response. This requires a degree of built-in intelligence that will allow the orchestration to handle and react to events as they occur during a workflow, including events-based alerts or adjustments to correct workflow problems based on existing policies.

Enhanced Reporting Functionality

Reporting may not be as glamorous as other aspects of a high quality orchestration software solution, but it’s an absolutely critical function that must be considered when evaluating your options. Reports are important from an internal perspective, to help identify what users need to do their jobs more efficiently and pinpoint areas where problems exist. They’re also essential in demonstrating to those outside IT the work being done and its overall value. To that end, they must be flexible enough to be useful to a wide variety of audiences.

Ultimately, when you are evaluating orchestration platforms, it’s important not to focus on any one individual feature, but rather look for a platform that will be comprehensive, flexible and agile enough to provide value across the board, both now and well into the future.

To experience a comprehensive, next generation orchestration and automation platform today, simply click here. And should you have any questions or concerns, please feel free to reach out and contact us today. We’d be happy to help!

Free eBook! Get Your Own Copy Today

Ayehu Announces Key Executive Appointments to Support Business Growth and Product Innovations

Intelligent Automation Leader Strengthens Executive Team in Sales, Alliances and Marketing

SAN JOSE, Calif. – July 10, 2018 Ayehu, provider of the leading AI-powered IT and security automation and orchestration platform, today announced several executive appointments to support the company’s continued growth. Increased adoption of Ayehu’s next generation AI-powered automation and orchestration platform amongst its rapidly expanding customer base and global partner network has driven the company’s ongoing success.

“Our accelerating momentum is the direct result of our dominant position in the IT space and our emergence as the leader in advanced automation technology. Strengthening our core executive team to support the growth is a critical component of our ongoing success as a market leader,” said Gabby Nizri, CEO and co-founder of Ayehu. “We are innovating at a rapid pace and our recent organizational changes will play a pivotal role as Ayehu continues to expand and enhance our product capabilities.”

Ayehu’s latest executive appointments include:

Brian Boeggeman, Chief Revenue Officer

In his new role as Chief Revenue Officer, Mr. Boeggeman will lead the global revenue growth strategy and drive customer value through the strategic alignment of Ayehu’s multi-channel sales operation, alliances and business development, marketing and customer success teams. Mr. Boeggeman joined Ayehu in January, 2017 as the leader of Ayehu’s Alliances and Business Development organization, where his team doubled the global partner footprint to support Ayehu’s market offering and align partners to meet customer demand for intelligent automation and orchestration solutions.

“Brian is an inspiring and proven leader that has demonstrated an unparalleled aptitude in leading Ayehu’s strategic focus and successful execution in the intelligent automation market. I look forward to Brian expanding his leadership role as Ayehu’s Chief Revenue Officer,” said Gabby Nizri, CEO and co-founder of Ayehu.

Taly Dunevich, Vice President of Business Development and Alliances

In her new role as the Vice President of Business Development and Alliances, Mrs. Dunevich will expand Ayehu’s channel network and customer-base via key MSP, MSSP and OEM partners worldwide. Mrs. Dunevich brings more than 20 years of experience leading business development, partnerships and sales organizations. A strong believer in growth through building trusted relationships with strategic partners, she has successfully led comprehensive go-to-market initiatives with both Fortune 500 companies and startups. Prior to joining Ayehu, Mrs. Dunevich was vice president of business development and strategic alliances at Uptima where she led the company’s 100% year-over-year growth for 3 consecutive years.

Evelyn Kotler, Vice President of Marketing

Mrs. Kotler is responsible for the global structure, strategy and execution of all aspects of Ayehu’s marketing efforts. Mrs. Kotler brings more than 15 years of marketing leadership experience across multiple markets, with a proven background in setting marketing strategies and creating marketing programs leading to substantial growth in sales and global market recognition. She spent the last 13 years establishing marketing divisions from scratch in startups from initial product-launch through various growth stages. Prior to joining Ayehu, Mrs. Kotler headed the marketing efforts for companies such as cyber security vendor Promisec (acquired by Mer Group) and most recently for Alibaba-backed big data analytics vendor SQream Technologies.

“I am also pleased Ayehu has expanded these leadership roles, as Taly and Evelyn will contribute to furthering the acceleration of our success in the marketplace,” continued Nizri.

It is estimated that in 2018, $7.5B will be spent on intelligent process automation. In this context, artificial intelligence is autonomous decision making by a self-learning system or systems designed to simulate human thought processes. According to a survey conducted by Avanade, 31% of organizations are already using intelligent automation and that number is expected to more than double by 2020.

“There has never been a more exciting time in the IT automation realm. The market is ready, and our recent growth and organizational changes demonstrate our commitment to providing continued support and breakneck innovation for our customers and partners worldwide,” concluded Nizri.

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.

Free eBook! Get Your Own Copy Today

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.

Free eBook! Get Your Own Copy Today