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

July 18, 2018/0 Comments/in IT Process Automation Super Hero Award Winners, News & Events /by Gabby Nizri

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

SAN JOSE, Calif. –- July 18, 2018 – Ayehu, 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!

What to look for in a cloud orchestration platform

July 12, 2018/0 Comments/in Artificial Intelligence/Machine Learning /by Gabby Nizri

When 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!

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

July 11, 2018/0 Comments/in Artificial Intelligence/Machine Learning, News & Events /by Gabby Nizri

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

July 9, 2018/0 Comments/in Artificial Intelligence/Machine Learning /by Gabby Nizri

Machine 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.

Injecting Digital Intelligence into the Modern Enterprise

July 6, 2018/0 Comments/in Artificial Intelligence/Machine Learning /by Gabby Nizri

Advancements 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.

What network downtime costs your organization

July 5, 2018/0 Comments/in Artificial Intelligence/Machine Learning /by Gabby Nizri

A recent report published by IDC and sponsored by AppDynamics reveals the actual costs associated with network downtime and infrastructure failure. The results are pretty compelling. For a Fortune 1000 company:

The average cost of a critical application is between $500k and $1 million per hour
The average cost of an infrastructure failure is $100k per hour
The average annual total cost of unplanned downtime is between $1.25 billion and $2.5 billion

Obviously these numbers will vary depending on the size of the organization, but regardless, they’re pretty eye opening.

The survey also provided some valuable insight into adoption of DevOps tools. As it turns out, nearly half (43 percent) of respondents said they were already employing DevOps while 40 percent have a plan in place to do so in the near future. Yet, despite these relatively positive numbers, the survey also revealed some of the common obstacles to DevOps adoption, and they’re nothing we haven’t seen time and time again.

7% Cultural inhibitors
3% Fragmented processes
7% Lack of executive support

Another intriguing trend the study uncovered references organizations that try to use their existing tool sets to create a make-shift DevOps environment. For these companies, there is a pretty hefty fail rate (somewhere around 80 percent), making it abundantly clear that in order to be successful in adopting DevOps, the appropriate tools and applications are needed. For those organizations doing the right thing (or those that intend to), the biggest initiatives driving those decisions include:

IT process automation 60%
Continuous delivery 50%
Continuous integration 43.3%
Automated testing 43.3%
Application monitoring/management 43.3%

For us, the key takeaways of this report both lead back to the fact that intelligent automation is becoming a mainstream component of IT departments across the board. Not only does it provide a solution to reducing network downtime and thereby mitigating the astronomical costs associated with that downtime, but it’s also the major driving force behind successful DevOps adoption and implementation.

Regardless of whether your company runs the risk of losses as big as those projected above, or you’re (thankfully) on a much smaller scale, outages can and will impact your bottom line. Implementing the right tools, including intelligent automation can help lower this risk significantly. It will also facilitate a more efficient, productive and streamlined DevOps environment in which all parts work together in tandem for the greater good of the organization.

As always, we recommend taking any survey numbers (even those from reputable sources such as this) with a certain grain of salt. We also recommend arming yourself with the one weapon that can combat both issues discussed here: intelligent automation. You can experience it for yourself today by clicking here. Don’t end up on the wrong end of the statistics. Start automating today.

3 Tasks Every Service Desk Should be Automating

July 3, 2018/0 Comments/in Artificial Intelligence/Machine Learning, IT Process Automation /by Gabby Nizri

Anyone who has had the pleasure of working the service desk is familiar with the “Monday Morning Blues.” You know….when you come into the office to find a huge queue of tickets waiting for you – a queue that’s growing by the minute. Sadly, this scenario is the norm for many service desks. Even worse – these already resource-strapped departments face the daunting task of manually tagging, categorizing and prioritizing those tickets by hand. That’s where service desk automation comes into play.

With the right tools and technology, automating routine help desk tasks is easy – from assigning tickets to appropriate team members to processing others electronically to tracking response metrics and more. Not only will service desk automation save your company tremendous man hours, which will improve your bottom line, but it’ll boost employee morale, helping with retention and creating an environment that breeds innovation.

Not sure where to start? Let’s take a look at a few key workflows through which service desk automation can produce immediate, measurable returns.

Processing incoming tickets

Think back to the days of telephone switchboards. One or a few individuals would have to sit there, manually answering incoming calls and re-routing them to the appropriate person. It wasn’t an efficient process by any stretch of the imagination.

Yet, the modern-day help desk is still set up much the same way, with support personnel tasked with going through each incoming ticket, assessing it and determining which person or department should be tapped for further action. It’s time consuming, inefficient and far too easy for things to slip through the cracks.

With service desk automation, software robots handle all incoming requests, automatically evaluating, prioritizing and assigning them to the appropriate party for processing. With smart automation, most, if not all of the incoming requests can actually be resolved without the need for human intervention.

Furthermore, integrations with existing systems and platforms, such as SolarWinds, ServiceNow and Cherwell, is also possible, streamlining the entire IT help desk environment.

Centralizing ticket metrics

Most help desks are measured by things like average response time and mean time to resolution. Obviously the goal is to deliver as close to 100% service as possible in the most timely and efficient manner possible. But tracking those metrics can become just as cumbersome as actually handling the tickets themselves.

With the right service desk automation platform, you can easily view and track all of your defined metrics in one central dashboard. Customized views can provide access to the data that’s relevant to each individual or team. For instance, front line managers can easily assess how team members performing in real-time while high-level executives can gain a broader overview.

Mobile ticket management

In today’s mobile age, the service desk no longer exists as a physical entity. Tickets will inevitably come in while the appropriate party is away from his or her desk or not logged in. In these instances, how can the help desk avoid costly bottlenecks and delays?

Quality service desk automation software removes the proverbial chains from the traditional help desk setup, making it possible for anyone, anywhere to receive and respond to notifications and escalations. So, when the server goes down at 2am, the person designated to handle the situation will be instantly notified via text and able to take appropriate action immediately.

Not only does service desk automation minimize downtime and speed mean time to resolution, but because it’s mobile-friendly, IT teams enjoy much more freedom and flexibility – the likes of which would have been virtually unheard of just a few years ago.

If you manage or even just work for a help desk that is still operating under manual operations, the time to take action and turn things around is now. Get started with a free, interactive demo and experience the Next Generation of IT Automation and Orchestration for yourself!

Everbridge Announces Integration with Ayehu Software

June 28, 2018/0 Comments/in News & Events /by Gabby Nizri

PR originally published here.

BURLINGTON, Mass.–(BUSINESS WIRE)–Everbridge, Inc. (NASDAQ: EVBG), the global leader in critical event management and incident response automation, today announced the integration of its IT Alerting solution with Ayehu, a leading provider of intelligent automation and orchestration powered by artificial intelligence (AI). The integration is designed to provide Everbridge’s IT Alerting users with key analytical insights to drive continuous improvements in reducing response times to critical events.

“Everbridge is a global market leader of SaaS-based critical communications solutions, trusted by thousands of organizations worldwide. We are excited to partner with Everbridge to customize strategic and intelligent solutions that promote efficiency and agility in the marketplace,” said Gabby Nizri, Co-Founder and CEO, Ayehu. “Our partnership will allow our mutual customers to automate up to 80% of L1 tickets and significantly accelerate critical event processes, freeing up human resources and increasing operational efficiency.”

The combined solution of Everbridge IT Alerting with Ayehu’s platform extends capabilities into IT Process and Runbook Automation (RBA) by leveraging Everbridge’s Smart Orchestration^TM technology. The solution bridges IT Alerting and RBA to allow organizations to quickly engage IT experts and on-call teams so they can respond to critical issues faster, reducing the mean time to ﬁx and automate manual and repetitive tasks, and decreasing the overall time to resolution even further by eliminating the period between receiving an alert and executing the remediation action.

Everbridge IT Alerting enables operational teams to remain fully in control over IT task automation by embedding human decision points within workﬂows. Using bi-directional communications, one can remotely control the advancement or execution of any step within a process, such as re-starting a server. Remote communications can be performed via SMS, IM, email, or phone.

“By combining Everbridge’s Smart Orchestration technology and self-service integration capabilities along with Ayehu’s platform, we bring the power of AI and analytics to our customers to optimize information flow and to rapidly execute end-to-end incident response management processes,” said Prashant Darisi, Vice President of Product Management, IT Alerting/IoT at Everbridge.

To learn more about Everbridge IT Incident Response Automation, visit www.italerting.com.

About Ayehu Software
Named by Gartner as a Cool Vendor, Ayehu’s IT automation and orchestration platform is a force multiplier for IT and security operations, helping enterprises save time on manual and repetitive tasks, accelerate mean time to resolution, and maintain greater control over IT infrastructure. Trusted by 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 Everbridge
Everbridge, Inc. (NASDAQ: EVBG) is a global software company that provides enterprise software applications that automate and accelerate organizations’ operational response to critical events in order to keep people safe and businesses running. During public safety threats, over 3,800 global customers rely on the company’s Critical Event Management Platform to quickly and reliably aggregate and assess threat data, locate people at risk and responders able to assist, automate the execution of pre-defined communications processes through the secure delivery to over 100 different communication devices, and track progress on executing response plans. For more information, visit www.everbridge.com, read the company blog, and follow on Twitter and Facebook.

To read the original press release, click here.

Benefits and Challenges of Intelligent Automation

June 26, 2018/0 Comments/in Artificial Intelligence/Machine Learning, IT Process Automation /by Gabby Nizri

Intelligent automation isn’t going anywhere. In fact, 86% of global business leaders recently surveyed believe that in order to stay ahead in their given fields, their organizations must deploy IA in the next five years. Another survey by Gartner found that 42% of CEOs have already begun the process of digital transformation and 56% already reported gains after implementing automation.

Unfortunately, while the majority of business leaders do recognize the increasing importance of adopting intelligent automation, many are being held back by certain challenges. Let’s take a closer look at some of the most valuable benefits of IA technology and the challenges that could be impeding progress.

Benefits of Intelligent Automation

The business advantages to adopting intelligent automation are almost too many to list. For the purposes of this post, however, we’ll share the high-level benefits – that is, the ones that are likely to produce the fastest wins and the biggest ROI.

Intelligent automation technology can effectively enable organizations to:

Reduce labor costs
Address the skills gap
Facilitate leaner, more cost-efficient operations
Process much larger volumes of complex data
Achieve speed and accuracy beyond what human workers are capable of

Challenges of Intelligent Automation

So, what’s standing in the way? With the vast majority of high-level business leaders acknowledging the critical importance of intelligent automation in facilitating digital transformation, why is it taking them so long to actually pull the trigger?

Well, as it turns out, there are a number of hindrances to IA adoption, the most common being:

Lack of skilled manpower
Difficulty training/reskilling employees
Issues integrating with legacy systems
Resistance from human workers
Increased cybersecurity threats

Ironically, it’s intelligent automation that could provide the solution to most of these challenges. For instance, by augmenting the human workforce with artificial intelligence, smaller teams can do more with less, eliminating the need to hire additional IA-skilled staff.

Meanwhile, incorporating IA into the cybersecurity process enables security teams to “fight fire with fire,” hitting back at attackers using the same (or better) advanced technology that is being used against them to defend and protect against breaches.

And with the right IA platform, integration with legacy systems is simple and seamless. Finally, when human workers begin to recognize that artificial intelligence is here to make their lives easier as opposed to making them redundant (not to mention all the new and exciting opportunities it presents), fear and resistance will become a thing of the past.

Conclusion

At the end of the day, while there are certainly challenges, the benefits of implementing intelligent automation exceed those challenges by a long shot. In fact, in most cases, those perceived roadblocks can be overcome not in spite of, but rather as a result of IA adoption.

If you are among those business leaders who are holding back on embracing intelligent automation but are ready to dip your toe in the water, we recommend scheduling a free, interactive demo. Take Ayehu for a test drive today and experience for yourself the power of intelligent automation.