We live in a time where technology advancement occurs at a breakneck pace. With each new technology added to the tech stack, complexity increases and environments evolve. Additionally, IT teams are expected to deliver business services in production faster, with quick and effortless problem remediation or, ideally, proactive problem identification. All this can make it extremely challenging for IT to keep up with the demands of the business while maintaining forward progress. That, in turn, can make it increasingly critical for IT executives to find, train, and retain highly qualified IT staff.
Jett, the newest Control-M SaaS capability, is a generative artificial intelligence (GenAI)-powered advisor that revolutionizes the way users interact with the Control-M SaaS orchestration framework. Control-M SaaS users from across the business can ask a wide range of workflow-related questions in their own language and in their own words and quickly receive easy-to-understand graphical and tabular results with a concise text summary. Jett provides the knowledge required to keep business running smoothly. It is a game changer for IT operations (ITOps) teams, allowing them to accelerate troubleshooting, problem resolution, and compliance verification, proactively optimize their workflows, and much more.
ITOps professionals, data teams, application owners, and business users can easily get answers relevant to their individual roles and use cases. With Jett, users don’t need to have in-depth Control-M SaaS knowledge or special training. There’s no additional cost, and you can ask up to 50 questions per day.
The tech behind Jett
Jett leverages cutting-edge GenAI technology to power advanced natural language understanding and generate highly accurate, context-aware responses. Amazon Bedrock’s cutting-edge GenAI technology provides seamless access to Anthropic’s Claude Sonnet. Claude Sonnet, a general-purpose AI, pretrained on a vast dataset, has been leveraged as a foundation model (FM) to understand user questions and transform them into SQL queries and then convert query results into meaningful responses, including visual insights and concise summaries of relevant information.
When a user enters an inquiry, Jett utilizes Claude Sonnet to generate SQL queries based on that inquiry and present the results in an intelligent format. It is guided with well-structured prompts to produce the desired results. These prompts instruct Claude Sonnet to:
- Classify questions based on the type of Control-M objects and whether the query requires aggregation or a list.
- Interpret the Control-M SaaS database schema and generate optimized SQL queries.
- Apply guardrails to restrict out-of-scope questions.
- Summarize and present query results in a clear and structured format.
Jett in action
Jett can assist Control-M SaaS users across the organization in finding answers to a multitude of Control-M SaaS workflow questions that speed problem resolution, audit compliance verification, workflow optimization, and anomaly discovery and analysis. While all the information related to these use cases was available before, users would often have to seek it out and compile it manually. With Jett, questions are answered quickly and presented in a usable format.
Here’s an example of questions that can be answered by Jett:
- Resolving problems quickly
- List all jobs that failed yesterday, and sort them by failure count.
- Has job_1 failed prior to yesterday?
- Analyze the past 10 runs for job_1.
- Faster audit compliance
- List all updates made to job_1 this month and include who made the changes.
- Which users made changes to job_1 and application_1, and when were the changes made?
- Optimize workflow performance
- What were the most recurring user actions last week, and which jobs were impacted?
- Provide all jobs that ran longer than average in the last month.
- Find and analyze anomalies
- List all jobs that completed faster than expected in the last week.
- Were there any anomalies in job length over the past month?
Find out how Jett can help you turn valuable time spent on research and internal data collection into time spent on innovation. Contact your Sales or Support rep today!
