Hewlett Packard Enterprise (HPE) is tying artificial intelligence (AI) into a handful of new products and services, with a specific focus on enhancing deep learning. The new offerings include hardware, software, reference designs, and physical research locations. On the hardware and software front, HPE launched an integrated product that ties its Apollo 6500 hardware box with software from technology partner Bright Computing. The combination is designed to allow for deep learning application development using pre-configured software frameworks, libraries, automated software updates, and cluster management. The AI Research unit at Hewlett Packard Labs also unveiled a set of tools to help customers in selecting hardware and software environments for different deep learning tasks.

Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.

Earlier this year, Cisco announced the acquisition of AppDynamics – uniquely positioning Cisco to enable enterprises to accelerate their digital transformations by actively monitoring, analyzing and optimizing complex application environments at scale. Today, we are excited to announce the intent to acquire Perspica, the first acquisition to support and accelerate the AppDynamics vision. In our experience working with the world's largest companies, we know that machine learning is only as good as the data it ingests; only as relevant as the data's timeliness; and only as valuable as the data's business context. Cisco's AppDynamics data sets span wherever the application components are deployed, and there is a massive opportunity to correlate this with user experience and business context. With the addition of Perspica to our AppDynamics capabilities, customers will be able to further take advantage of machine learning capabilities to analyze large amounts of application-related data, in real time and with business context, including when an application is deployed in a company's public, private and multiple cloud environments.

The post-mortem activity is just as messy as the outage itself. Members of multiple teams gather in a "war room", go through multiple product consoles and logs, and try to identify the cause of the incident. This costly, manual process often results in finger-pointing and passing the buck rather than getting real answers. By using advanced analytics based on the latest machine learning techniques, Perspica's AI tools give you a definitive post mortem analysis with actionable recommendations, dramatically reducing your mean time to repair.

We recently announced how Perspica's IT incident management system is using AI to leapfrog traditional monitoring tools using advanced analytics. Let's take a closer look at why monitoring tools aren't enough for today's complex applications. Knowing whether a resource is "up or down" doesn't help you fix the problem. Monitoring tools were originally created to help us understand when there was a problem with any of our infrastructure elements. Letting us know whether a server needed to be rebooted or that you'd run out of memory was helpful then, but in today's complex applications knowing that your application has had alert because of a service level violation still leaves a long way to identify and understand how to fix the issue at hand.

Our simple and extensible framework lets users easily point and collect data from multiple data sources across similar application and infrastructure elements. In addition to providing rich, out-of-the-box data source plug-ins, Perspica enables fast, easy creation of custom data source integrations through our data collection API.

The post-mortem activity is just as messy as the outage itself. Members of multiple teams gather in a "war room", go through multiple product consoles and logs, and try to identify the cause of the incident. This costly, manual process often results in finger-pointing and passing the buck rather than getting real answers. By using advanced analytics based on the latest machine learning techniques, Perspica gives you a definitive post mortem analysis with actionable recommendations, dramatically reducing your mean time to repair.