AI The Epicenter of eCommerce

In our todays online shopping how much is artificial intelligence. How artificial intelligence can help retailers to deliver the highly personalized experiences shoppers desire. Ant colony optimization algorithm (To formulate training feed-forward neural networks with ant colony optimization) to obtain the users’ preference information are widely used in todays ecommerce business for comparison-shopping to solve the problem of the user bias’ filtering and learning. The performance improvements are important to both consumers / buyer and sellers / merchants.

Magic Word Pay in Digital Payments

Today’s consumer expects a seamless mobile payment experience; failing to meet those expectations can be devastating to a brand, idea, innovation and eventually the payments industry. The world’s best companies; main from out side of payment / financial domain are rushing (yes rushing) for Digital Transformation for money. Getting inspired by the cutting-edge technologies, innovative products and solutions

Convergence – Intelligent System, Mobile Data Charging, AI and PCRF

Deep packet inspection (DPI) to gain actionable intelligence on traffic flows. Policy rules to define how to manage traffic based on information gathered through DPI, network resources, subscriber profiles, and offered services. Policy enforcement to implement policy at a granular level in real-time across the network, applying policy rules to DPI data.

PCRF the Liberator for Mobile Data Charging

HSS basically plays its main function of authenticating the LTE subscribers with IMSI as the primary key for SAE-HSS and IMPU (IMS Public ID) + IMPI (IMS Private ID) for IMS VoLTE authentication. SPR is the repository for the subscriber’s policies and profiles for QoS management. Both HSS and SPR are the front-end elements because the back-end element, i.e., UDR, is the database that stores all information.

Mobile Data Charging – Who moved my Cheese?

Time started for MNO to take charge and start innovating in order to survive. They also realise that they themselves are responsible for cannibalising their own voice revenue by encouraging revenue share based VAS services from VAS service providers rather than affiliating with OTT players.