Teams manually reviewed dashboards after IT issues occurred. Now, AI predicts failures and hands engineers 1-minute resolution plans.
A managed services provider supporting over 60 billion retail transactions and 24 million government constituents across enterprise IT environments with hundreds of servers, thousands of user accounts, and terabytes of data.
Managing complex IT environments traditionally relied on a reactive approach of monitoring and responding to alerts only after issues occurred....
“We recognized early on that Snowflake had a unique value to our business. Partly because it holds so much of our data, but also because of its extensive capabilities for building, hosting and running inference against machine learning models.”
Ensono's IT incident management is part of this use case:
Hybrid cloud and mainframe modernization managed services provider.
Cloud-based data warehousing, processing, and analytics platform.
Collaborated with Ensono to build and deploy its Envision Predictive Engine ML solution.
Related implementations across industries and use cases
Customers waited six minutes as staff manually sorted tickets. AI now routes requests instantly, cutting waits to under a minute.
Engineers lost hours manually triaging alerts. AI agents now correlate events and trigger self-healing, automating 60% of remediation.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Engineers lost hours manually triaging alerts. AI agents now correlate events and trigger self-healing, automating 60% of remediation.
IT tracked just 26% of live events. Now, AI monitors everything and resolves bugs autonomously.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
Teams manually reviewed dashboards after IT issues occurred. Now, AI predicts failures and hands engineers 1-minute resolution plans.
A managed services provider supporting over 60 billion retail transactions and 24 million government constituents across enterprise IT environments with hundreds of servers, thousands of user accounts, and terabytes of data.
Managing complex IT environments traditionally relied on a reactive approach of monitoring and responding to alerts only after issues occurred....
“We recognized early on that Snowflake had a unique value to our business. Partly because it holds so much of our data, but also because of its extensive capabilities for building, hosting and running inference against machine learning models.”
Ensono's IT incident management is part of this use case:
Hybrid cloud and mainframe modernization managed services provider.
Cloud-based data warehousing, processing, and analytics platform.
Collaborated with Ensono to build and deploy its Envision Predictive Engine ML solution.
Related implementations across industries and use cases
Customers waited six minutes as staff manually sorted tickets. AI now routes requests instantly, cutting waits to under a minute.
Engineers lost hours manually triaging alerts. AI agents now correlate events and trigger self-healing, automating 60% of remediation.
7,000 weekly tickets delayed by manual notes. AI now drafts instant summaries, slashing resolution time by 47%.
Engineers lost hours manually triaging alerts. AI agents now correlate events and trigger self-healing, automating 60% of remediation.
IT tracked just 26% of live events. Now, AI monitors everything and resolves bugs autonomously.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.