In some cases, mobile application management functionality is delivered in standalone MAM platforms. In others, it comes as a module in a broader suite of services. In either case, the tasks MAM performs are vital.
How is 2019 shaping up? Not surprisingly, it is destined to present a characteristically scary array of potential problems in mobile enterprise security.
The core element of any business application is data. Better data produces better results, and this is particularly relevant when it comes to critical functions like customer relationship management (CRM) and the underlying database.
Customer Relationship Management (CRM) is quickly evolving from a valuable piece of software to a core function of the enterprise regardless of size or business model. The reason is simple: Businesses live and die by their customers.
Converting documents into a digital format has become a much bigger concern as organizations invest in the development of various types of AI models to automate business processes.
The Linux Foundation has released the first long-term support version of the Hyperledger Fabric framework along with a Hyperledger Grid reference architecture designed to make it simpler to build supply chain apps.
Accengage will advance the localization efforts of Urban Airship, while Urban Airship will make investments it has been making in the realms of IoT and machine learning available to Accengage customers.
As organizations embrace AI, many are entering uncharted legal territory. Just because something can be done does not necessarily mean it should be done.
Mobile device management (MDM) is a major element of the fight to secure devices and there are many ambitious options in the MDM sector.
Interest in serverless computing frameworks is rising sharply, but the risk associated with being locked into proprietary architectures or investing in a framework that ultimately dies on the vine due to a lack of industry support is a major concern for most IT organizations.
In terms of 2018 security and compliance trends, AI and ML are generating buzz, but the jury is out on how (or if) they can be most effectively used.
Deep learning in general, done right, is a game changer, and products that use this AI approach have a high probability of being massively better than their more traditional competitors.