Tag: Mobile Data
2018 Year of Intelligence – Artificial & Augmentation
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
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World Wide Data Wrestling
Big data presents a tremendous opportunity for enterprises across multiple industries especially in the tsunami like data flow industry of “Payments”. FinTech, InsureTech, MedTech are major data generating industries i.e massive group of factories. According to some data from Google it shows technology based innovative insurance companies
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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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Artificial Intelligence Innovation in FinTech
With advancement in technology, artificial intelligence, organisations outside the banking industry diversified and demystified financial services by targeting small & succinct margins in the space. These were organisations servicing millions of customers through broad distribution channels, be they mobile operators, mobile handset manufactures, retailers or on-line merchants. Integrating AI applications, such as IBM Watson and N26 with Siri
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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
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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 keeping the subscriber’s policies & profiles for QoS management. Both HSS and SPR are the front end element because the back-end element i.e. UDR is the databases keeping 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 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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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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Internet of Things – Mobile Financial Services
As on date the most common use for sensors is telematics, which allows devices installed in cars (car tracking devices) to transmit location data to owners and insurers. This also includes ability to track-stolen vehicle and help in recovery, automatic crash notification, and vehicle data recording force full actions by controller over telematics infra. Telematics also extends to tracking ships, car and trucks for fleet management and route optimisation. IoT merged with mobile financial services can ensure you can get fuel
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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.
