EMA Blog: Business Intelligence and IT Management

On September 12, 2018, at Strata NYC, Informatica announced a data management solution for Apache Spark-based cloud environments, including Google Cloud Dataproc, Qubole, and Azure Databricks. Touting new advancements in CLAIRE™, a metadata intelligence technology powered by artificial intelligence (AI) and machine learning, this new release is targeted at increasing the efficiency and reach of data management organizations. To expand efficiency, Informatica is releasing more than 50 new algorithms and functions for automated data discovery and preparation, as well as machine learning focused on industrializing data operations.

Network managers who are supporting the migration of critical applications to the public cloud will need a new set of tools for engineering and operations.

Today, where there are almost as many approaches to digital transformation as there are enterprise software vendors, Docker refocuses its strategy on providing the best unified container management platform for DevOps. Docker’s key value proposition is to enable developers to build an application once and then deploy it to any Kubernetes-driven private or public cloud, where DevOps teams and IT operations can manage it throughout its lifecycle and move it to another location at any point in time. However, Docker also aims to absorb traditional enterprise applications, edge and IoT workloads, big data apps, blockchain, and serverless functions, both on Windows and on Linux.

EMA recently published primary research on the topic of “Adopting Effective Solutions in Endpoint Detection and Response,” which included a detailed comparison of two of the most popular platforms on the market today: Tanium and 1E Tachyon. Put simply, Endpoint Detection and Response (EDR) solutions represent a classification of management tools designed to proactively provide the holistic visibility and rapid automation necessary to respond to endpoint security threats and administration requirements in real-time. The purpose of the evaluation was to provide an example of how to conduct a side-by-side comparison of EDR solutions in order to determine the optimal platform for meeting current endpoint management requirements.

For years network engineers have built lucrative careers upon their wizardly knowledge of things like network protocols, hardware specifications, and the Cisco command line interface (CLI). These skills are still essential to network engineering, but they are emblematic of a highly manual, box-by-box era of network engineering and operations. Today’s enterprises need agile, programmatic networks that leverage software, automation, and more

In the course of researching, documenting and advising on user experience management needs and directions for more than a decade, I’ve found myself waging a quiet (and sometimes not so quiet) war with several industry assumptions. Chief among these is the notion that user experience management (UEM) is purely a subset of application performance management (APM). This APM-centricity misses some of UEM’s most critical value points, and in a basic sense fails to recognize what UEM is truly about.

The week of April 30, 2018, I spent a few days in the great city of London at “The IT security Analyst and CISO Forum,” a small, invitation-only event hosted by Eskenzi PR and Marketing. It was my first year at the event, so I wasn’t sure what to expect. After I arrived, it was obvious the Eskenzi PR team had this event down. It was well orchestrated and executed, and the entire team was very professional.

OpenManage Enterprise is a big deal, but underrated: OpenManage Enterprise is the new infrastructure automation platform that could unlock the private and hybrid cloud for Dell. Deploying Dell infrastructure through a simple YAML file is within reach.

Companies who manage to put AI capabilities into the hands of each and every business employee will be vastly successful in the marketplace. Enabling business employees to back up their decisions with data will dramatically increase staff productivity. At the same time, employees will feel empowered by their new ability to make much more informed decisions and automating certain tasks, based on intelligence derived from operations and market data that is now available to them.