AFLA O &O VENTURES LIMITED CONSUMER CODE OF PRACTICE FOR INTERNET SERVICE PROVIDER (ISP) INTRODUCTION Alfa O and O Ventures Limited (AKA WirelessNG) is a limited liability company incorporated in Nigeria (R.C. 627105) in 2005 as a provider of value-added technologies. Alfa O&O acquired Internet Service Provider (ISP) license in
WirelessNG assures of Low Cost and High Reliability
When it comes to providing low cost and affordable internet service within the South West sub-region of Nigeria, WirelessNG has proven to be consistent and reliable in the delivery of service. The organization has spelt out affordable Unlimited Internet packages that will help meet the needs of existing and prospective
WirelessNG Coming Soon to Asaba
Are you tired of poor or low internet connectivity in your office, business or home? WirelessNG High-speed Internet services is just a click away from you! work from anywhere, anytime and compete smart with our super high speed internet service. WirelessNG Service is Coming Soon to the city of Asaba,
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A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety of internal and external sources. These included the company’s own
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A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety of internal and external sources. These included the company’s own
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A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety of internal and external sources. These included the company’s own
Seven weeks Of Hard working
A large global resources company wanted to reduce its exposure to counterparty credit risk (and reduce the time it takes to make decisions by making them more objectively). Finance deployed an AI predictive model that pulled information from a variety of internal and external sources. These included the company’s own