ManageEngine Releases Zia, Zoho's AI Assistant
July 23, 2019
Share this

ManageEngine announced the general availability of Zia, Zoho's AI assistant, in its IT analytics solution, Analytics Plus.

Zia interprets questions posed in plain English via text or voice to generate visualizations instantly, and offers smart suggestions based on keywords used in search. Users can also train Zia to understand organization-specific terms to get better results.

IT teams, armed with analytics tools, are often so engrossed in firefighting network alarms or dealing with help desk incidents that they don't have time to analyze historical data and find opportunities for process improvement. Organizations that do make time for such analysis rely heavily on database administrators to mine relevant data and present it in a readable format. In both cases, by the time IT teams get their hands on critical information, it may be too late for the business to react to a threat or identify an opportunity. With a conversational AI assistant built into their IT analytics tool, anyone in an organization — from CTOs and network operations center (NOC) teams to help desk managers, technicians, and support engineers—can quickly access the IT data they need, regardless of technical expertise.

"IT managers need access to instant insights that they can continue to refine and drill down into, without relying on database administrators. Zia makes it possible for non-technical users to analyze data without having to write SQL queries or programs, saving precious time that can be used to focus on improving the quality of IT services offered," said Rakesh Jayaprakash, Product Manager at ManageEngine. "In the future, we look forward to expanding the analytical capabilities of Zia to perform seamless data blending and provide automated insights."
Zia, Intuitive AI for ITSM Analytics

In a world where voice-automated assistants are revolutionizing our daily lives, Zia takes self-service analytics to the next level. By eliminating the drag-and-drop rigmarole involved in most self-service analytics solutions, Zia makes it easy for users to analyze data, empowering them to spot trends, perform root cause analysis, and make game-changing decisions swiftly, simply by asking the right questions.

Zia can perform a wide variety of tasks such as:

- Create insightful KPIs and reports based on user questions.

- Prompt keyword suggestions as users type or speak.

- Continuously learn and adapt to user requirements by analyzing recent searches.

Redefining Proactive Service Desk Operations Using Predictive Analysis

Alongside Zia, ManageEngine released predictive analytics in Analytics Plus, a new feature that aims to help NOC and service desk teams get out of firefighting mode. NOC teams can leverage Analytics Plus' predictive algorithms to anticipate service outages and network or application failures, as well as plan stop-gap measures, while service desk teams can foresee daily, weekly, and monthly ticket volumes and reorganize their workforce to avoid SLA violations.

Using predictive analysis, service desk managers can:

- Predict the probability of service outages and volume of incident tickets.

- Monitor technician and asset utilization in real time and allocate resources when needed.

- Anticipate security threats to better plan patch deployment across the enterprise.

Zia and predictive analytics are both available at no additional cost in Analytics Plus.

Share this

The Latest

October 17, 2019

As the data generated by organizations grows, APM tools are now required to do a lot more than basic monitoring of metrics. Modern data is often raw and unstructured and requires more advanced methods of analysis. The tools must help dig deep into this data for both forensic analysis and predictive analysis. To extract more accurate and cheaper insights, modern APM tools use Big Data techniques to store, access, and analyze the multi-dimensional data ...

October 16, 2019

Modern enterprises are generating data at an unprecedented rate but aren't taking advantage of all the data available to them in order to drive real-time, actionable insights. According to a recent study commissioned by Actian, more than half of enterprises today are unable to efficiently manage nor effectively use data to drive decision-making ...

October 15, 2019

According to a study by Forrester Research, an enhanced UX design can increase the conversion rate by 400%. If UX has become the ultimate arbiter in determining the success or failure of a product or service, let us first understand what UX is all about ...

October 10, 2019

The requirements of an APM tool are now much more complex than they've ever been. Not only do they need to trace a user transaction across numerous microservices on the same system, but they also need to happen pretty fast ...

October 09, 2019

Performance monitoring is an old problem. As technology has advanced, we've had to evolve how we monitor applications. Initially, performance monitoring largely involved sending ICMP messages to start troubleshooting a down or slow application. Applications have gotten much more complex, so this is no longer enough. Now we need to know not just whether an application is broken, but why it broke. So APM has had to evolve over the years for us to get there. But how did this evolution take place, and what happens next? Let's find out ...

October 08, 2019

There are some IT organizations that are using DevOps methodology but are wary of getting bogged down in ITSM procedures. But without at least some ITSM controls in place, organizations lose their focus on systematic customer engagement, making it harder for them to scale ...

October 07, 2019
OK, I admit it. "Service modeling" is an awkward term, especially when you're trying to frame three rather controversial acronyms in the same overall place: CMDB, CMS and DDM. Nevertheless, that's exactly what we did in EMA's most recent research: <span style="font-style: italic;">Service Modeling in the Age of Cloud and Containers</span>. The goal was to establish a more holistic context for looking at the synergies and differences across all these areas ...
October 03, 2019

If you have deployed a Java application in production, you've probably encountered a situation where the application suddenly starts to take up a large amount of CPU. When this happens, application response becomes sluggish and users begin to complain about slow response. Often the solution to this problem is to restart the application and, lo and behold, the problem goes away — only to reappear a few days later. A key question then is: how to troubleshoot high CPU usage of a Java application? ...

October 02, 2019

Operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources. Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools ...

October 01, 2019

To better understand the AI maturity of businesses, Dotscience conducted a survey of 500 industry professionals. Research findings indicate that although enterprises are dedicating significant time and resources towards their AI deployments, many data science and ML teams don't have the adequate tools needed to properly collaborate on, build and deploy AI models efficiently ...