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Artificial Intelligence: A Trusted Partner for the Financial Industry

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The first Model Artificial Intelligence Governance Framework in Asia was released by Singapore in January this year, in collaboration with the World Economic Forum's Centre for the Fourth Industrial Revolution. AI, an emerging frontier in technology that allows technical systems to simulate human intelligence and behaviors, has vast applications in many fields. As part of its «Smart Nation» pursuits, Singapore launched its National Artificial Intelligence (AI) Strategy at the Singapore FinTech Festival and Singapore Week of Innovation and TeCHnology (SFF x SWITCH) conference. Within the next three years, AI-powered chatbots will become the first point of contact for residents to report issues with city services while marking systems in schools will soon be automated. Across the financial landscape, AI has also weaved itself into the workings of the industry.


AI, blockchain and sports coaching

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After explaining what AI is in general terms, I will now continue to explain how AI can help in everyday situations. Today, let's have a look at how AI and Big Data architecture can help coaches or sports enthusiasts in any sporting activity. As a coach, one thing you will need to do is first understand your client's body, ability, endurance and performance. In the beginning, your coaching work will be difficult because you will be giving advice based on your own experience but not personalized as you don't yet know the individual. The more you spend time with your client, the better and more efficient your coaching will become.


Finastra creates new era of fintech using Microsoft machine learning and analytics tools

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Created in 2017 from the combination of two long-standing companies, Finastra has already emerged as one of the largest financial technology (fintech) companies in the world, building solutions to support banking and other financial services. Finastra has made innovation its hallmark, constantly seeking new ways to use technology to improve financial services for banks and customers alike. By forming a close working relationship with Microsoft, Finastra is now ushering in a new generation of fintech that puts humans at the center of these technological solutions. With Microsoft Azure, Finastra has elevated its open innovation platform, FusionFabric.cloud, The platform is built with the power of Microsoft machine learning and advanced analytics tools.


The Convergence of Blockchain, Machine Learning, and the Cloud

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A senior executive with 25 years experience in sales, marketing, and business development with Cisco, Apple and HP. Steven has funded and launched four technology companies. Most recently, Steven was the World Wide Director of Business Development for Cisco where his team drove global adoption of Smart Cloud services, a $2B business leveraging big data analytics to provide complete visibility of every device on the network. Prior to Cisco, Steven was President of Primex Wireless, a leader in the healthcare market providing cloud based sensor communication for IoT facility management. Steven was also the COO at Resilient Networks and has held senior business development, sales, and product management positions at HP and Apple.


AI-Driven Predictive Analytics: New Opportunities for Financial Institutions -

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One can argue that even the most innovative banking institutions are bureaucratic enough, and their slow decision-making causing banks to lose their premium over fintech applications, peer to peer lending marketplaces, and payment processors. At the same time, many expanded into the business of micro-lending. Banking services are no longer a monopoly of banks, and traditional financial institutions have to innovate in order to survive. The era of non-traditional financial services providers such as Amazon Payments, PayPal Payments and PayU, has risen. The launch of the Payment Services Directive II in Europe unlocks new dynamics for FinTech and Payment Services.


#FinServ_2019-03-05_02-24-02.xlsx

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The graph represents a network of 2,240 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 05 March 2019 at 10:25 UTC. The requested start date was Sunday, 03 March 2019 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 5,000. The tweets in the network were tweeted over the 5-day, 3-hour, 3-minute period from Monday, 25 February 2019 at 10:20 UTC to Saturday, 02 March 2019 at 13:23 UTC.


Piecing together the puzzle of property prices with peer-to-peer lending data

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Data science provides a venue that exercises the inquisitive mind. The opportunity to investigate new datasets and understand their value for a theory or model never ceases to fascinate and enthrall. That inquisitive nature -- the mission to understand what drives value in the commercial real estate (CRE) market -- runs at the core of what we do here at GeoPhy. It leads to the exploration and analysis of a wide variety of data. This variety and the unprecedented volume of data now available provide two of the conventional "V's" of big data [1], and make this quest both a compelling and complicated one -- like fitting together pieces of a puzzle.


Drive Away Fraudsters With Driverless AI - Venkatesh Ramanathan, Senior Data Scientist, PayPal

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Share results from experiments conducted on large scale payment transaction data. Venkatesh is a senior data scientist at PayPal where he is working on building state-of-the-art tools for payment fraud detection. He has over 20 years experience in designing, developing and leading teams to build scalable server-side software. In addition to being an expert in big-data technologies, Venkatesh holds a Ph.D. degree in Computer Science with specialization in Machine Learning and Natural Language Processing (NLP) and had worked on various problems in the areas of Anti-Spam, Phishing Detection, and Face Recognition.


What Every Content Marketer Should Know About Artificial Intelligence - Relevance

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Like many people around the world, I made a couple of professional resolutions for the new year. I wanted to learn as much as I possibly could about artificial intelligence (AI) and blockchain technology. The year is a quarter of the way over and my quest to learn about AI is complete. So complete, in fact, that it culminated into my latest free ebook, "Everything You Need to Know About Marketing Analytics and Artificial Intelligence." RSVP to attend the chat here: "What You Need to Know About AI and Marketing") In this article, I will cover everything I learned about AI and its impact on marketing. We're just getting started down a new and disruptive path in marketing and it's very exciting. There're only three things that can be guaranteed in life – death, taxes and the disruption of an industry. Disruption is happening all around us, every day. Look what Amazon has done to retail, Uber to taxis, LinkedIn to job boards, the Internet to the media, crypto currencies to finance, and so on, and so on. AI alone is predicted to disrupt forecasting, customer service, education, finance, foodservice, personalized healthcare, medical, logistics, loyalty programs, marketing, procurement, public relations, search, and security.


What Every Content Marketer Should Know About Artificial Intelligence

#artificialintelligence

Like many people around the world, I made a couple of professional resolutions for the new year. I wanted to learn as much as I possibly could about artificial intelligence (AI) and blockchain technology. The year is a quarter of the way over and my quest to learn about AI is complete. So complete, in fact, that it culminated into my latest free ebook, "Everything You Need to Know About Marketing Analytics and Artificial Intelligence." RSVP to attend the chat here: "What You Need to Know About AI and Marketing") In this article, I will cover everything I learned about AI and its impact on marketing. We're just getting started down a new and disruptive path in marketing and it's very exciting. There're only three things that can be guaranteed in life - death, taxes and the disruption of an industry. Disruption is happening all around us, every day. Look what Amazon has done to retail, Uber to taxis, LinkedIn to job boards, the Internet to the media, crypto currencies to finance, and so on, and so on.