Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

HEAL SaaS Upgrades Enable Small- to Mid-Size Businesses to Benefit from AIOps and Realize Improved Observability

Easy and Flexible Artificial Intelligence for IT Operations Solution Helps Businesses Become More Efficient and Profitable by Reducing Outages and Improving Response Times

HEAL Software the leader in the artificial intelligence for IT operations (AIOps) preventive healing space, announced updates to its enterprise-grade, cloud-based Software-as-a-Service (SaaS) solution. HEAL SaaS provides IT teams, at businesses of all sizes, a solution to find and fix problems before they happen.

Recommended AI News: Calumino Announces Series A Funding Round to Scale First-of-its-Kind Intelligent Thermal Sensing Platform

“HEAL’s latest offering democratizes AIOps, making it a standard solution for small- to medium-sized businesses—especially those that were born in the cloud and need to pivot and adapt quickly.”

According to Gartner, IT downtime can cost anywhere from $140,000 per hour to $540,000 per hour, depending on the type and size of business—not to mention detrimental impacts to a business’s reputation. Historically, large businesses have accounted for a more prominent market share in the AIOps space, however many industries are seeing the benefits of AIOps in reducing their mean-time-to-know (MTTK) and mean-time-to-resolution (MTTR).

“The shift to a digital experience has put more pressure on IT teams to monitor, manage and react to outages,” said George Thangadurai, CEO of HEAL Software Inc. “HEAL’s latest offering democratizes AIOps, making it a standard solution for small- to medium-sized businesses—especially those that were born in the cloud and need to pivot and adapt quickly.”

Recommended AI News: CloudFabrix Announces the Availability of Composable Analytics, Dashboards and Pipelines to Accelerate AIOps and Observability Adoption

The updates to HEAL’s SaaS offering, which initially launched in January 2022 to widen the reach of the previous cloud-based and on-prem only offerings, further expands HEAL’s total addressable market. New updates support both agent-based and agentless data ingestion, feature leading application performance management (APM) and AIOps functionalities, and offer simplified installation and setup for businesses with up to 40 servers. The product now also offers out-of-the-box support for business applications like SAP and other e-commerce applications; customers can just plug directly into cloud APIs and start monitoring immediately. Plus, five unique subscription tiers focus on delivering the HEAL flagship product’s core observability features along with the ability to scale with future growth to help better manage expenses.

“We believe that AIOps solutions should be able to support and grow with businesses of all sizes,” said Vikhyath Karumanchi, director of engineering at HEAL. “We are proud to make a product that was primarily tailored to large enterprises due to substantial costs and setup available to small- to mid-size organizations without high costs or hassles. Now, IT teams of all sizes can reduce downtime with the comprehensive visibility and insights to predict and prevent outages.”

HEAL SaaS completes the existing HEAL enterprise portfolio of on-prem, hybrid and cloud offerings and is readily available on the trusted, secure and compliant Microsoft Azure Cloud. Its subscription-based model also allows customers to “try before they buy” and can be seamlessly upgraded to HEAL’s flagship offering.

Recommended AI News: Researchers from Gwangju Institute of Science and Technology Develop a New Method for Denoising Images

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.