The Payment Intelligence group is responsible for optimizing every ounce of net value out of all potential transactions. We own products like Radar from end to end and work across the technical stack: from crafting machine learning models over our users' data, to integrating ML intelligence and serving real-time predictions as part of Stripe's infrastructure, to building user-facing product surfaces like dashboards and controls. Stripe builds economic infrastructure for the internet, supporting businesses worldwide ranging from fledgling upstarts to Fortune 500s. These businesses place significant trust in Stripe to accelerate their success. This makes the user-facing teams at Stripe mission critical: these teams provide fast, accurate answers in the context of our users' businesses across phone, email, and chat.

Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business.

This is the extract from my presentation done at GECommunity2017 Summit in Kuala Lumpur Malaysia. The summit took place on on 12th and 13th December 2017. This was the biggest summit in Malaysia and opening speech was done by "Sri Haji Mohammad Najib bin Tun Haji Abdul Razak" (Current Prime minister of Malaysia since 2009). If any one is looking for full presentation free copy, please leave your email address in below comment box. I will talk about different elements of PaymentIntelligence (PI) in this post on very high level only.

AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa's mobile phone market has expanded to become larger than either the EU or the United States with some 650 million subscribers (2016 data). At the same time, Internet bandwidth has grown 20-fold as hundreds of thousands of kilometres of new cables have been laid across the continent to serve an increasing number of its 1.2 billion Africans. Augmented experience on how to recommend how much to spend and on what.

AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa's mobile phone market has expanded to become larger than either the EU or the United States with some 65...

AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa's mobile phone market has expanded to become larger than either the EU or the United States with some 650 million subscribers (2016 data). At the same time, Internet bandwidth has grown 20-fold as hundreds of thousands of kilometres of new cables have been laid across the continent to serve an increasing number of its 1.2 billion Africans. Augmented experience on how to recommend how much to spend and on what.

AI has taken some steps into banking, but it also poised to transform how banks learn from and interact with customers. Financial services will lead the charge in the implementation of AI. Africa's mobile phone market has expanded to become larger than either the EU or the United States with some 650 million subscribers (2016 data). At the same time, Internet bandwidth has grown 20-fold as hundreds of thousands of kilometres of new cables have been laid across the continent to serve an increasing number of its 1.2 billion Africans. Augmented experience on how to recommend how much to spend and on what.