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The most significant AI trends for fintech in 2018


Ayasdi offers an enterprise-grade artificial intelligence platform that leverages big data to make intelligent business applications; for instance, Ayasdi has an application that powers parts of HSBC's anti-money laundering technology stack. Headquartered in California, Ayasdi has further offices in London with global expansion demanding a third office potentially coming to Singapore for 2018. Lots of stuff is going on with AI. Broadly speaking there are two major ways of thinking about problems addressable by AI today. One side is around perception based problems – self driving cars and virtual assistants – these rely on data such as imaging and sensing the environment.

Top 15 Artificial Intelligence Platforms - Predictive Analytics Today


Artificial Intelligence is when a machine mimics the cognitive functions that humans associate with other human minds, such as learning and problem solving, reasoning, problem solving, knowledge representation, social intelligence and general intelligence. The central problems of AI include reasoning, knowledge, planning, learning, natural language processing perception and the ability to move and manipulate objects. Approaches include statistical methods, computational intelligence, soft computing and traditional symbolic AI. Many tools are used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics. AI platform is defined as some sort of hardware architecture or software framework (including application frameworks), that allows software to run.

AI, You've Got Some Explaining To Do


Artificial intelligence has the potential to dramatically re-arrange our relationship with technology, hearkening a new era of human productivity, leisure, and wealth. But none of that good stuff is likely to happen unless AI practitioners can deliver on one simple request: Explain to us how the algorithms got their answers. Businesses have never relied more heavily on machine learning algorithms to guide decision-making than they do right now. Buoyed by the rise of deep learning models that can act upon huge masses of data, the benefits of using machine learning algorithms to automate a host of decisions is simply too great to pass up. Indeed, some executives see it as a matter of business survival.

Fintech trends: The rise of AI Fintech 2017 Recap


This article on 2017's AI comes very recently after Google's AutoML project created an AI child that was smarter than AI built by humans. The'child AI' called NASANet was created by two parent AIs and utilises'reinforcement learning' that enables it to report, learn and improve from its parent AIs.

Infusing Machines with Intelligence - Part 1


"Learning", "thinking", "intelligence", even "cognition"… Such words were once reserved for humans (and to a lesser extent, other highly complex animals), but have now seemingly been extended to a "species" of machines, machines infused with artificial intelligence or "AI". In October 2015, a computer program developed by Google DeepMind, named AlphaGo, defeated the incumbent European champion at the complex ancient Chinese board game of Go. In March 2016, AlphaGo went on to defeat the world champion, Lee Sedol. This seminal moment caught the world's attention, the media have since been incessantly covering every AI-related story, and companies from all walks of life have since been on a mission to add "artificial intelligence" to their business description. At Platinum we have been closely following the major technological trends for many years.