The Outpost is a comprehensive collection of curated artificial intelligence software tools that cater to the needs of small business owners, bloggers, artists, musicians, entrepreneurs, marketers, writers, and researchers.
© 2025 TheOutpost.AI All rights reserved
Curated by THEOUTPOST
On Wed, 25 Sept, 8:16 AM UTC
2 Sources
[1]
ManageEngine Rolls Out First-Ever Decision Intelligence Platform For Enhanced IT...
ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, today announced a significant upgrade to its flagship IT analytics solution, Analytics Plus. Version 6.0 introduces Spotlight, a contextual recommendations engine powered by AI, designed to identify key inefficiencies in IT operations and suggest corrective strategies. The 2023 State of Analytics Engineering report found that time to business insight is the biggest challenge for nearly 50% of surveyed directors. Spotlight dramatically reduces the time IT managers and CIOs spend analysing various IT metrics and coming up with remedies to fix structural fault lines in operations. By incorporating decision-intelligence capabilities, Analytics Plus now facilitates contextual decision-making, addressing a crucial gap in traditional analytics software. For instance, Analytics Plus can analyse correlations between the age of IT assets, their frequency of failure, and the meantime to repair. Based on these parameters, it suggests the optimal time frame for asset replacement. This approach ensures that organisations neither dispose of assets prematurely, losing usable value, nor retain them for too long, negatively impacting employee productivity. With the introduction of Spotlight, ManageEngine reinforces its commitment to enhancing IT operations through intelligent, data-driven solutions. "While traditional analytics tools excel at providing a platform for analysing any type of data, they often lack the necessary context of the data they are analysing. Deriving meaningful and context-specific insights is becoming increasingly challenging due to a significant disconnect: the people performing the analysis are skilled at mining data but often lack the IT context, making it difficult to translate findings into actionable business decisions," said Samantha Hall, Service Delivery Manager, Leathams Ltd., a UK-based food supplying company. Analytics Plus' built-in AI engine is programmed to study common IT processes and identify solutions to achieve desired results more quickly. Spotlight acts like an assistant, constantly monitoring for bottlenecks or operational inefficiencies and offering tips for corrective action. By bringing in IT context and leveraging AI capabilities, Analytics Plus ensures that organisations can address issues more effectively and efficiently. "Organisations no longer want to spend hours mining data for actionable insights. They require ready-made strategies that they can implement immediately to see rapid results," said Rakesh Jayaprakash, product manager and chief analytics evangelist at ManageEngine. He added, "There are sufficient tools in the market that promise automation and remediation for day-to-day network and application failures, but there's a lack of focus on strategic decision-making. This is the gap Spotlight aims to bridge." Root Cause Analysis Quick decision-making is only half the journey; IT managers and CIOs also need a way to backtest their decisions to ensure a new strategy or model will achieve the desired results. In addition to decision intelligence capabilities, ManageEngine is introducing the Root Cause Analysis feature, which automatically identifies the top factors contributing to a particular trend. This feature allows IT managers and CIOs to verify whether their changes or decisions are having a positive impact. For instance, if tools are implemented for auto-remediation of L1 network issues, Root Cause Analysis can look at the increased uptime and highlight the reduction in L1 network issues as the major contributor to better network uptime. No-Code Auto-ML for Deep Analysis The new version of Analytics Plus empowers IT teams to create custom machine learning (ML) models without writing a single line of code. Traditionally, developing and deploying ML models was restricted to experts. However, Analytics Plus' no-code ML platform democratises this process, allowing IT managers to develop ML models directly on the data they are familiar with. With this capability, IT managers can build ML models for prediction and classification, such as a predictive model to derive the probability of ticket escalations based on various factors or related events. This approach ensures the development of highly specific and accurate models because they are built on the organisation's unique data and validated by the very people who use it daily. Unified IT Metrics Library Analytics Plus serves as a command centre and decision hub for IT by contextually analysing all IT data, enabling organisations to cross-correlate metrics and identify interdependencies. Analytics Plus version 6.0 introduces the Unified IT Metrics Library, listing all KPIs from an IT environment in a single view, effectively acting as a comprehensive directory of metrics. This makes searchability and reusability easier, breaking down silos created by various IT tools and serving as a single source of truth for any metric that IT teams need to track. "Traditional IT data analysis is often confined within individual tools. For instance, resolution time of incidents is limited to ITSM while mean time to repair a device is restricted to IT operations management. This inhibits cross-correlation and prevents organisations from obtaining a complete picture of their IT infrastructure. By analysing all these metrics together in a centralised platform, organisations can unlock significant value," said Jayaprakash. The Unified IT Metrics Library democratises data by making a catalogue of KPIs readily available for technicians to conduct their analyses, which can also be consumed by other IT applications for contextual integration. This comprehensive approach enhances governance and ensures that all relevant metrics are easily accessible and managed effectively, driving quick decision-making. In addition to these key features, Analytics Plus version 6.0 includes a range of productive enhancements such as multivariate forecasting, workflow charts, support for distributed processing (on-premises) and more than 10 new integrations with popular IT tools, detailed here. About Analytics Plus Analytics Plus is an IT analytics and decision intelligence software designed to provide organizations with a unified view of their IT operations, correlate interdependencies, and derive meaningful insights. It breaks down data silos by consolidating both on-premises and cloud infrastructure KPIs. Analytics Plus measures the efficiency of network operations, tracks the responsiveness and availability of business applications, evaluates technician performance, assesses the progress of processes, and flags security anomalies. This comprehensive analysis is achieved by connecting to every single IT software that forms the backbone of an IT infrastructure. These consolidated insights enable organizations to make data-driven decisions that enhance operational efficiency and drive business success. About ManageEngine ManageEngine is a division of Zoho Corporation that offers comprehensive on-premises and cloud-native IT and security operations management solutions for global organizations and managed service providers. Established and emerging enterprises -- including nine of every 10 Fortune 100 organizations -- rely on ManageEngine's real-time IT management tools to ensure the optimal performance of their IT infrastructure, including networks, servers, applications, endpoints and more. ManageEngine has 18 data centers, 20 offices and 200+ channel partners worldwide to help organizations tightly align their business to IT. For more information, please visit the company site, follow the company blog and get connected on LinkedIn, Facebook, Instagram and X (formerly Twitter).
[2]
ManageEngine Rolls Out First-Ever Decision Intelligence Platform for Enhanced IT Operations
Company's Flagship IT Analytics Solution Introduces Spotlight for Intelligent, Data-Driven Strategic Recommendations AI-powered platform offers contextual and actionable recommendations based on identified operational inefficienciesIntroduces no-code ML platform for users to perform highly customized and complex analysesThe new 6.0 version of Analytics Plus boasts a central metrics repository, serving as a single destination for all IT metrics ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, today announced a significant upgrade to its flagship IT analytics solution, Analytics Plus. Version 6.0 introduces Spotlight, a contextual recommendations engine powered by AI, designed to identify key inefficiencies in IT operations and suggest corrective strategies. The 2023 State of Analytics Engineering report found that time to business insight is the biggest challenge for nearly 50% of surveyed directors. Spotlight dramatically reduces the time IT managers and CIOs spend analyzing various IT metrics and coming up with remedies to fix structural fault lines in operations. By incorporating decision-intelligence capabilities, Analytics Plus now facilitates contextual decision-making, addressing a crucial gap in traditional analytics software. For instance, Analytics Plus can analyze correlations between the age of IT assets, their frequency of failure, and the meantime to repair. Based on these parameters, it suggests the optimal time frame for asset replacement. This approach ensures that organizations neither dispose of assets prematurely, losing usable value, nor retain them for too long, negatively impacting employee productivity. With the introduction of Spotlight, ManageEngine reinforces its commitment to enhancing IT operations through intelligent, data-driven solutions. "While traditional analytics tools excel at providing a platform for analyzing any type of data, they often lack the necessary context of the data they are analyzing. Deriving meaningful and context-specific insights is becoming increasingly challenging due to a significant disconnect: the people performing the analysis are skilled at mining data but often lack the IT context, making it difficult to translate findings into actionable business decisions," said Samantha Hall, Service Delivery Manager, Leathams Ltd., a UK-based food supplying company. Analytics Plus' built-in AI engine is programmed to study common IT processes and identify solutions to achieve desired results more quickly. Spotlight acts like an assistant, constantly monitoring for bottlenecks or operational inefficiencies and offering tips for corrective action. By bringing in IT context and leveraging AI capabilities, Analytics Plus ensures that organizations can address issues more effectively and efficiently. "Organizations no longer want to spend hours mining data for actionable insights. They require ready-made strategies that they can implement immediately to see rapid results," said Rakesh Jayaprakash, product manager and chief analytics evangelist at ManageEngine. He added, "There are sufficient tools in the market that promise automation and remediation for day-to-day network and application failures, but there's a lack of focus on strategic decision-making. This is the gap Spotlight aims to bridge." Root Cause Analysis Quick decision-making is only half the journey; IT managers and CIOs also need a way to backtest their decisions to ensure a new strategy or model will achieve the desired results. In addition to decision intelligence capabilities, ManageEngine is introducing the Root Cause Analysis feature, which automatically identifies the top factors contributing to a particular trend. This feature allows IT managers and CIOs to verify whether their changes or decisions are having a positive impact. For instance, if tools are implemented for auto-remediation of L1 network issues, Root Cause Analysis can look at the increased uptime and highlight the reduction in L1 network issues as the major contributor to better network uptime. No-Code Auto-ML for Deep Analysis The new version of Analytics Plus empowers IT teams to create custom machine learning (ML) models without writing a single line of code. Traditionally, developing and deploying ML models was restricted to experts. However, Analytics Plus' no-code ML platform democratizes this process, allowing IT managers to develop ML models directly on the data they are familiar with. With this capability, IT managers can build ML models for prediction and classification, such as a predictive model to derive the probability of ticket escalations based on various factors or related events. This approach ensures the development of highly specific and accurate models because they are built on the organization's unique data and validated by the very people who use it daily. Unified IT Metrics Library Analytics Plus serves as a command center and decision hub for IT by contextually analyzing all IT data, enabling organizations to cross-correlate metrics and identify interdependencies. Analytics Plus version 6.0 introduces the Unified IT Metrics Library, listing all KPIs from an IT environment in a single view, effectively acting as a comprehensive directory of metrics. This makes searchability and reusability easier, breaking down silos created by various IT tools and serving as a single source of truth for any metric that IT teams need to track. "Traditional IT data analysis is often confined within individual tools. For instance, resolution time of incidents is limited to ITSM while mean time to repair a device is restricted to IT operations management. This inhibits cross-correlation and prevents organizations from obtaining a complete picture of their IT infrastructure. By analyzing all these metrics together in a centralized platform, organizations can unlock significant value," said Jayaprakash. The Unified IT Metrics Library democratizes data by making a catalog of KPIs readily available for technicians to conduct their analyses, which can also be consumed by other IT applications for contextual integration. This comprehensive approach enhances governance and ensures that all relevant metrics are easily accessible and managed effectively, driving quick decision-making. In addition to these key features, Analytics Plus version 6.0 includes a range of productive enhancements such as multivariate forecasting, workflow charts, support for distributed processing (on-premises) and more than 10 new integrations with popular IT tools, detailed here. About Analytics Plus Analytics Plus is an IT analytics and decision intelligence software designed to provide organizations with a unified view of their IT operations, correlate interdependencies, and derive meaningful insights. It breaks down data silos by consolidating both on-premises and cloud infrastructure KPIs. Analytics Plus measures the efficiency of network operations, tracks the responsiveness and availability of business applications, evaluates technician performance, assesses the progress of processes, and flags security anomalies. This comprehensive analysis is achieved by connecting to every single IT software that forms the backbone of an IT infrastructure. These consolidated insights enable organizations to make data-driven decisions that enhance operational efficiency and drive business success. About ManageEngine ManageEngine is a division of Zoho Corporation that offers comprehensive on-premises and cloud-native IT and security operations management solutions for global organizations and managed service providers. Established and emerging enterprises -- including nine of every 10 Fortune 100 organizations -- rely on ManageEngine's real-time IT management tools to ensure the optimal performance of their IT infrastructure, including networks, servers, applications, endpoints and more. ManageEngine has 18 data centers, 20 offices and 200+ channel partners worldwide to help organizations tightly align their business to IT. For more information, please visit the company site, follow the company blog and get connected on LinkedIn, Facebook, Instagram and X (formerly Twitter).
Share
Share
Copy Link
ManageEngine introduces Spotlight, an AI-driven contextual recommendations engine in Analytics Plus, aimed at improving IT operations efficiency and decision-making.
ManageEngine, a division of Zoho Corporation, has announced a significant upgrade to its IT analytics solution, Analytics Plus. The new version 6.0 introduces Spotlight, an AI-powered contextual recommendations engine designed to revolutionize IT operations management [1][2].
The 2023 State of Analytics Engineering report highlighted that nearly 50% of surveyed directors consider time to business insight as their biggest challenge. Spotlight aims to address this issue by dramatically reducing the time IT managers and CIOs spend analyzing metrics and devising solutions for operational inefficiencies [1][2].
Contextual Decision-Making: Spotlight facilitates data-driven decision-making by providing context-specific insights, bridging the gap between data analysis and IT operations [1][2].
Intelligent Asset Management: The platform can analyze correlations between IT asset age, failure frequency, and repair time to suggest optimal replacement timeframes, ensuring efficient resource utilization [1][2].
AI-Powered Recommendations: Spotlight's built-in AI engine studies common IT processes and identifies solutions to achieve desired results quickly, acting as a constant monitor for operational inefficiencies [1][2].
ManageEngine has introduced a Root Cause Analysis feature that automatically identifies top factors contributing to particular trends. This allows IT managers to verify the impact of their decisions and strategies [1][2].
The new version empowers IT teams to create custom machine learning models without coding expertise. This democratization of ML model development enables IT managers to build highly specific and accurate models based on their organization's unique data [1][2].
Analytics Plus version 6.0 introduces a Unified IT Metrics Library, which serves as a comprehensive directory of all KPIs from an IT environment. This feature breaks down silos created by various IT tools and provides a single source of truth for metric tracking [1][2].
Samantha Hall, Service Delivery Manager at Leathams Ltd., a UK-based food supplying company, emphasized the importance of context in data analysis: "While traditional analytics tools excel at providing a platform for analyzing any type of data, they often lack the necessary context of the data they are analyzing" [1][2].
Rakesh Jayaprakash, product manager and chief analytics evangelist at ManageEngine, stated, "Organizations no longer want to spend hours mining data for actionable insights. They require ready-made strategies that they can implement immediately to see rapid results" [1][2].
With these new features, ManageEngine aims to enhance IT operations through intelligent, data-driven solutions, addressing the growing need for efficient and effective IT management in today's rapidly evolving technological landscape.
Zoho has launched an AI-enhanced version of its Business Intelligence and Analytics platform, Zoho Analytics. The update aims to democratize self-service BI and includes features like natural language querying and AI-powered insights.
7 Sources
Zoho Corporation has integrated artificial intelligence (AI) and machine learning (ML) capabilities into its business intelligence platform, Zoho Analytics. This update aims to revolutionize data analysis and decision-making processes for businesses.
2 Sources
ServiceNow introduces a suite of AI-powered tools and agents in its latest Now Platform Xanadu release, aiming to revolutionize enterprise productivity and workflow automation across various sectors.
6 Sources
Data Dynamics unveils Zubin, an AI-powered self-service data management software, along with a new Centre of Excellence in Pune, India. The software aims to revolutionize data governance, privacy, and sovereignty in the AI era.
3 Sources
Forrester Research introduces a new service called Forrester Decisions for Data, AI, and Analytics Leaders, aimed at helping executives navigate the complex landscape of data-driven technologies and strategies.
2 Sources
