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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Gartner Nods to Three Leaders in Application Performance Monitoring

For application performance monitoring, AppDynamics, Dynatrace, and New Relic lead the pack.

Written By

RTInsights Team

Dec 29, 2015

1 minute read

Gartner recently released their December “Magic Quadrant for Application Performance Monitoring Suites” report and recognized three companies as leaders: New Relic, Dynatrace, and AppDynamics.

By 2020, the report predicts that 60 percent of Application Performance Monitoring buyers will come from outside the IT vertical, a sharp increase from the less than 35 percent today. The report goes on to discuss how SaaS-based APM solutions are becoming more and more popular.
“Releases of new products and features are occurring much more rapidly due to a combination of SaaS-based delivery models and the adoption of agile development methods,” it said.

Challengers to the leaders in APM include Dell; IBM; CA Technologies; Hewlett Packard Enterprise; Riverbed Technology; and BMC Software, according to Gartner.

A copy of the report can be found here.

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