[External Talk] Towards an Automated R&D Workflow for Edge AI Systems - Dan Malowany
This is a recording of Dan Malowany talking about how SightX uses ClearML as part of the R&D workflow.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Demo: Unravel Data - Automated Troubleshooting for Job Failures
For DataOps teams, job failures are common. But finding the issue is (traditionally) where things get even worse. It can take hours or days to troubleshoot a job failure. Unravel Data provides a single view where DataOps teams can locate exactly where–and why–a job failed, along with precise recommendations to troubleshoot the error. DataOps teams are now able to both diagnose and troubleshoot job failures in minutes instead of days or weeks.
Demo: Unravel Data - Data Pipeline Optimization (The Easy Way)
Data pipelines fail all the time for a variety of reasons; service downtime, data volume fluctuations, etc. Diagnosing these failures manually is very difficult and time consuming. Unravel Data allows DataOps teams to troubleshoot pipeline failures automatically – showing exactly where and why a pipeline failed, and precise recommendations to remedy the issues. Using Unravel, DataOps teams can now diagnose and fix data pipeline failures in a fraction of the time.
Appian and KPMG Webinar - Third-Party Risk Management (TPRM)
Appian and KPMG discuss the toughest challenges associated with TPRM and how organizations can begin to address them. We discuss how with the right mix of technology, skills, industry experience, and process knowledge, your organization can improve supplier collaboration and institutionalize a TPRM program that supports growth objectives and manages risk.
Demo: Unravel Data - Code-Level Insights for DataOps Teams
To ensure that jobs are running optimally, DataOps teams need to look at the detailed code. But DataOps teams don’t have the right tools to easily examine problematic code - or a simple path to optimizing it. With Unravel Data, DataOps teams can quickly troubleshoot applications that are throwing errors - all the way down to a specific line of problematic code. All in a single view.
Demo: Unravel Data - Allocating Costs with Precision Using the Enhanced Chargeback Report
DataOps teams need to understand where costs are going. But the reports provided by cloud vendors aren’t very granular - and they only get the reports after excess costs have been racked up. Unravel allows DataOps teams to understand where costs are going at a detailed level: by user, by service, by department. This information is captured and available as soon as a cluster is detected – allowing DataOps teams to take action and optimize in real time.
Demo: Unravel Data - Automated Budget Tracking to Prevent Overruns
DataOps teams need to be able to set budgets at a specific scope - and know if your various teams or departments are tracking to those budgets. But today, most DataOps teams only know that the budget was overrun after it’s too late. With Unravel, establishing and tracking budgets to prevent overruns is easy.
Demo: Unravel Data - Keep DataOps Budgets On Track (Automatically)
Demo: Unravel Data - Keep DataOps Budgets On Track (Automatically) DataOps teams are paying tremendous amounts of money for cloud instances that were spun up and then forgotten. For larger enterprises, this can equate to millions of dollars in waste. But even for smaller teams, this type of inefficiency is not acceptable. With Unravel, your DataOps team can set a budget/cost threshold (or a time duration), to ensure that you keep your budgets on track. Receive alerts as soon as an instance hits your predefined threshold - instead of discovering it in your monthly bills.
ThoughtSpot Sync for Operationalizing Insights
Learn how ThoughtSpot Sync enables you to operationalize insights from ThoughtSpot for the business apps you know and use every day, including Slack, Google Sheets, Microsoft Team, ServiceNow, Salesforce, HubSpot, and more.
Demo: Unravel Data - A Unified View for Data App Performance Details
Today, DataOps teams have to correlate data from far too many point tools. DataOps observability is far too cumbersome; the manual effort to optimize data apps takes time that DataOps teams simply don’t have. With Unravel’s AI-enabled platform, all of this disparate data is pulled together into a unified view of data app performance; every detail in a single view. View configurations, logs, and errors… all in one place.