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iTWire - Converging fraud prevention and AML into a single platform

GUEST OPINION: Australian businesses have been challenged with money laundering, fraud, and financial crime for years, and this threat landscape is co. ....

Australian Payments Network , Australian Bureau Of Statistics , Australian Bureau , Carol Chris , Fraud Prevention , Machine Learning Ml ,

iTWire - How predictive analytics can mitigate fraud and money laundering

GUEST OPINION: Today’s constantly changing economy has created an uncertain business and financial environment for organisations to navigate. How. ....

Carol Chris , Gbg Group , Predictive Analytics , Fraud Prevention , Money Laundering , Artifical Intelligence Ai , Machine Learning Ml ,

"A Study on Multi-Antenna and Pertinent Technologies with AI/ML Approac" by Maraj Uddin Ahmed Siddiqui, Faizan Qamar et al.

The quantum leap in mobile data traffic and high density of wireless electronic devices, coupled with the advancements in industrial radio monitoring and autonomous systems, have created great challenges for smooth wireless network operations. The fifth-generation and beyond (B5G) (also being referred to as sixth-generation (6G)) wireless communication technologies, due to their compatibility with the previous generations, are expected to overcome these unparalleled challenges. Accompanied by traditional and new techniques, the massive multiple input multiple output (mMIMO) approach is one of the evolving technologies for B5G/6G systems used to control the ever-increasing user stipulations and the emergence of new cases efficiently. However, the major challenges in deploying mMIMO systems are their high computational intricacy and high computing time latencies, as well as difficulties in fully exploiting the multi-antenna multi-frequency channels. Therefore, to optimize the current and ....

5g And Beyond B5g , Artificial Intelligence Ai , Machine Learning Ml , Assive Mimo Mmimo , Wireless Networks ,

Emagia and Osmania University Sign Pact to Accelerate AI and Fintech Innovation

Hyderabad (Telangana) [India], January 12 (ANI/GPRC): Advancing its commitment to innovations and future-ready workforce, Emagia, USA today announced the launch of Fintech Innovation Labs at OU in collaboration with Osmania Foundation, Hyderabad. Emagia and Osmania Foundation will set up joint Emagia-OU Fintech Innovation Labs at the OU College of Engineering to focus on research and development of the latest digital technology solutions using AI, ML, Blockchain, Web3, IoT, and other technologies aimed to accelerate fintech innovations. An agreement to this effect was signed between Emagia, headquartered in Santa Clara, California USA, and Osmania Foundation, Hyderabad, India. The global fintech technologies market is a fast-growing market and is expected to reach USD 698.48 billion by 2030, growing at a CAGR of 20.3 per cent from 2021 to 2030. Financial technology (Fintech) is the application of new technological advancements to physical and software products and services in the finan ....

United States , Andhra Pradesh , Osmania University , Santa Clara , Veena Gundavelli , Ravinder Dandaboina , Osmania Foundation , Ou College Of Engineering , Fintech Innovation Labs , Innovation Labs , California United States , Vice Chancellor , Women Innovator Award , Hyderabad Telangana India , Anuary 12 Ani Gprc Advancing Its Commitment To Innovations And Future Ready Workforce , Sa Today Announced The Launch Of Fintech Innovation Labs At Ou In Collaboration With Osmania Foundation , Yderabad Emagia And Osmania Foundation Will Set Up Joint Ou Fintech Innovation Labs At The College Of Engineering To Focus On Research Development Latest Digital Technology Solutions Using Ai , Nd Other Technologies Aimed To Accelerate Fintech Innovations An Agreement This Effect Was Signed Between Emagia , Eadquartered In Santa Clara , California Usa , Nd Osmania Foundation , Ndia The Global Fintech Technologies Market Isa Fast Growing And Is Expected To Reach Usd 698 48 Billion By 2030 , Rowing Ata Cagr Of 20 3 Per Cent From 2021 To 2030 Financial Technology Fintech Is The Application New Technological Advancements Physical And Software Products Services In Finance Industry Aims At Refining Amp Automating Delivery Use By Implementing Several Technologies Such As Programming Interface Api , Artificial Intelligence Ai , Machine Learning Ml , Robotic Process Automation Rpa ,