Tag: Mobile Data
AI Changing FinTech Modus Operandi
AI in Fintech is a great help & ease for understanding on how the automation can be achieved for automated tasks (yes its true). Machine Learning focuses on predictions, based on known properties learned from the training data using too much statistical inductive reasoning. It’s been said ML works very well as long as past gets repeated in future. Financial chat bots use predictive analytics to push out real-time, informed responses to customers without the need for human intervention.
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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.
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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.
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Mobile Payments – Need, Opportunity or Myth
Mobile payments can be defined as any payment transactions, whether in close proximity or remote. Payments can happen through Internet, proximity technologies charge back or can be executed on mobile devices. Mobile payments market potential, as well as the different trends in business models and technologies that are shaping the global payments and mobile payments evolution are visible as opportunities to be taken up. Decision makers in banks and other financial or even out side traditional
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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.
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MNO Charging & Billing Systems
Telecom subscribers are getting smarter (so it’s not only the handset which is getting smarter haan!!!), demanding more and more and, at the same time many new players are entering the marketplace. To compete in this environment, operators have to not only maintain but also grow their part of the new value chain to gain loyal customers and adding new blended services which are ridding on their investment/infrastructure made during all those time
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Mobile VAS Services – Future Rely On AI And Data Science
The main difficulty that content providers face is ensuring that their content is tailored to the market and location, as well as the individual subscriber’s preferences, to prevent it from becoming an annoyance to the subscriber. As the demand for video entertainment increases, so does the need for a superior quality experience (QoE), particularly when viewers are paying a premium or when advertising is involved, as advertisers aim to create a favorable impression.
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Mobile Data – Driven By AI and Optimise by Data Science
AI-driven mobile data monitoring and offerings are now escalating the usage. Use of artificial intelligence, internet of things on blockchain based security will penetrate big data analytics with machine learning algorithms and going to transform the internet and its usage to a level which is difficult to predict today.
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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.
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2015 Year Of Convergence – MFS, IN with AI and Data Science
The 3GPP OCS is heading toward multiple charging access provisions for networks bearing different services. To meet network evolution demands, the OCS’s internal components should be further abstracted and modularized. Payments from various channels, i.e., proximity (POS, mPOS, NFC, thin SIM, ultrasound), the Internet, USSD, SMS, ATM, or agents, can be embedded as separate modules that will keep a tap and record of each transaction, create temporary wallets in buffers before moving to actual wallets, move temporary wallets from buffer to trash, and write logs.
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Value-added Services to Mobile Customers
Content-based services are on the rise, for example, educational content for schools, kindergartens, and universities at a very cheap rate, health services TIPS, information technology TIPS, day-to-day life TIPS, astrology, managing relationships TIPS, business TIPS, financial advice, etc., and many more.
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Prepaid Mobile Charging Systems
The charging system originally formed part of the support network and can be regarded as a supporting platform for networks or services. In a converged environment, the charging system is unable to complete the entire charging process. Many network evolutions, however, are stimulated by changes in charging requirements.
